Job Board

Senior Research Scientist/Research Scientist - Multiple Positions

ObjectVideo Labs, a subsidiary of Alarm.com is looking for Research Scientists at all levels to join our growing R&D team. 

Contribute to cutting-edge, intelligent video analytics research and push the frontiers of smart home applications. Invent, improve, and customize state-of-the-art techniques in computer vision, machine learning, deep learning, and edge computing. Research novel ideas to solve real-life use cases. Participate in developing and engineering these ideas into functioning modules. These modules will be integrated into the existing OVL intelligent video analytics ecosystems and Alarm.com smart home products to be used by millions of users.

Our research group is growing rapidly. The successful candidate will have ample opportunities to research creative ideas and complete complex projects. Our research group offers a dynamic, fun, and intellectually stimulating environment for cutting-edge research.

The successful candidate must be conversant with the latest development in deep learning for visual recognition and video analytics. Knowledge and experience in deep model optimization for edge inference and training is a plus.

Visit our website at www.objectvideolabs.com

More info | Contact: Melissa Kalagher | Posted on: 2022-06-19

Postdoc in Computer Vision: DeepPollinator

Video monitoring of pollinators

An USDA/NIFA-funded postdoctoral position is available in the laboratory of Dr. Rémi Mégret in the Department of Computer Science of the University of Puerto Rico, Río Piedras Campus.
As a team member of Dr. Mégret’s laboratory, the Post-doctoral fellow will contribute with quality research outputs and conceptual support to develop new Computer Vision methods for the automated video monitoring of insect pollinators and their interactions with flowers. This work will build upon the existing models and system developed by the team as part of NSF project “Large-Scale Multi-Parameter Analysis of Honeybee Behavior in their Natural Habitat” that enabled automatic foraging and pollen intake monitoring at the entrance of a honeybee colony. We expect to expand significantly the scale at which we can analyze the population and foraging behavior of both honeybees and wild pollinator in the field. It will involve new machine learning models (including Deep Neural Network architectures) that will push the state-of-the art for videos collected in an open environment. More specifically, the Post-doctoral fellow will:
• Develop and validate new models for detection, identification and behavior analysis from video
• Integrate them into a system for automatic analysis of insect-flower interaction
• Take an active role in the DeepPollinator project, working with Biology and Ecology collaborators to apply the developed technology to research in population dynamics and foraging behavior of honeybees and wild pollinators
• Publish the results in appropriate conferences and journals
• Mentor graduate and undergraduate students involved in the research
• Participate in the writing of proposals to seek external funds to sustain and extend the research

SPECIAL REQUISITES

The candidate must have completed a Ph.D. degree within the last 5 years, preferably in computer science, machine learning, robotics or a related field. The position requires skills in Computer Vision and Deep Learning evidenced by a strong record of research in these areas. Experience with cloud computing, embedded vision systems and/or biology applications is preferred but not required. The successful applicant should have a genuine interest in multi-disciplinary research, strong work ethics, communication & organization skills, and a willingness to learn new methodologies as the project evolves.

IMPORTANT INFORMATION

To apply, please submit (i) a cover letter including motivation and research interests, (ii) a full CV that includes all requisites for the position, (iii) contact information for three references electronically, and (iv) copies of all academic degrees *(diplomas and certifications). Inquiries about the position can be directed to remi.megret@upr.edu.

We are seeking candidates for a one-year appointment (renewable up to 2 years). Funding is already available.
*The selected candidate must present official credentials from all his/her academic degrees. This job opportunity is financed with external funding and does not consider the expectation of a probation position.

Full information in the link below. Deadlines extended, apply now

More info | Contact: Remi Megret | Posted on: 2022-06-19

Research Scientist - Multimodal Communication Foundation Models

Overview

What might we learn about how humans communicate by predicting video segments of people in social interactions? How might we extend existing language models to a multimodal dialog agent setting? What new verbal and non-verbal capabilities arise from dramatically scaling these multimodal models?

Our project envisions that we can greatly advance machine learning capabilities for perception and expression of human communication through a foundation model
learned from audiovisual streams of human social interactions. The research domain intersects large language models (LLMs), multimodality, self-supervision, video generation, and fairness but is critically brought together by a human-centric emphasis.

Our project is situated in Research in the Perception group and has deep collaborations with other parts of research such as Deepmind, Brain, and internal responsible AI teams.

Job responsibilities

Your primary focus will be on helping us develop a multimodal communication foundation model. This will involve:

  • Prototyping ideas from existing research or develop new architectures from scratch
  • Integrating and adapting models developed by Brain, DeepMind and other collaborating teams
  • Iterating on model improvements to achieve higher human expressivity in the results

Minimum qualifications

You must meet these minimum qualifications to apply for this job

  • PhD in Computer Science, related technical field or equivalent practical experience.
  • Experience in Natural Language Understanding, Computer Vision, Machine Learning, Algorithmic Foundations of Optimization, Data Mining or Machine Intelligence (Artificial Intelligence).
  • Programming experience in C, C++, or Python.
  • Contributions to research communities/efforts, including publishing papers in machine learning (JMLR, ICLR, NeurIPS, ICML, ACL, CVPR).

Preferred qualifications

Having as many of these specific qualifications is a plus, but transferable skills/experiences may be equally valuable.

Experience in some the following topics (or willingness to learn):

  • Generative models
  • Multimodal models
  • Large (multipod) models
  • Language models

Other:

  • PhD in Machine Learning or related field
  • Experience with at least one ML framework (JAX, Tensorflow, PyTorch)
More info | Contact: martinezalonso | Posted on: 2022-06-19

Fall/Winter Research Intern (Human Pose Prediction)

This project focuses on developing computer vision and machine learning algorithms to support autonomous systems (robots and vehicles) designed to cooperate with humans. The project involves design and development of innovative algorithms for recognition and prediction of human poses in daily environments.

During the time of the internship, you are expected to:
• Understand and analyze kinematic human motion model
• Implement state-of-the-art methods pose prediction methods
• Develop, implement, and evaluate novel algorithms for predicting human poses.
• Create a new benchmark dataset

Qualifications/Requirements:
• Ph.D. or highly qualified M.S. candidate in computer science, electrical engineering, or related field
• Strong research experience in computer vision and machine learning
• Experience in open-source deep learning frameworks such as TensorFlow or PyTorch

Bonus Qualifications:
• Hands-on experience in one or more of the following: graph neural networks, probabilistic neural networks, deep generative models, reinforcement learning
• Publications in top-tier conferences (CVPR, ICCV, ECCV, ICML, NeurIPS, ICLR, etc.)

If interested, please contact Chiho Choi (cchoi@honda-ri.com).

More info | Contact: Chiho Choi | Posted on: 2022-06-17

Applied Scientists - Multimodal Representation Learning

The Search Science and AI org at Amazon are focusing on representation learning and foundation models for various applications in Amazon. We leverage rich multimodal signals such as text, image, audio, video and structured fields. We build large scale models of different capacities, up to hundreds of billions of parameters, using the most advanced architectures in vision and language. They are used by numerous teams in Amazon and have impact on millions of customers. We are looking for applied scientists at multiple levels (L5-L7, sample job post here). Please contact Yi Xu (yxaamzn AT amazon.com) or myself, Son Tran (sontran AT amazon.com), if you are interested.

More info | Contact: Son Tran | Posted on: 2022-06-17

Senior Research Scientist/Engineer- Video Understanding

Description
OPPO U.S. Research Center is looking for a Senior Research Engineer to join our AI Research Team. You will be working on developing video understanding algorithms for mobile/embedded devices. The ideal candidate will have a keen interest in producing new science to understand intelligence and transfer technologies into products for better serving our hundreds of millions of users.

Requirements
Duties and responsibilities

Develop algorithms and incubate products in the fields of video understanding related topics for mobile/embedded devices
Work towards long-term ambitious research goals, while identifying intermediate milestones that can be applied to product development
Collaborate with software engineering experts to build shipping industrial-strength codes
Basic Qualifications

PhD degree in Computer Science or related engineering field
Tracked record of developing demanding deep learning algorithms and applications
Research experience in developing deep learning algorithms for video understanding related topics
Familiar with at least one of the deep learning frameworks such as TensorFlow and PyTorch
Strong programming and debugging skills in Python/C++
Ability to work independently and collaboratively in multi-functional teams
Strong foundation in computer vision, machine learning, deep learning etc
Preferred Qualifications:

Experience in deploying traditional and/or deep learning algorithms on mobile platforms
Experience in quantization/acceleration for deep learning models
Publication in top-tier AI conference and journals, such as CVPR/ECCV/ICCV/NIPS/AAAI/IJCV etc.

More info | Contact: Grace Yin | Posted on: 2022-06-17

3D Computer Vision Scientist/Engineer

Description
OPPO US Research Center’s XR (Extended Reality) team is looking for scientists/engineers to join us and conduct cutting-edge research and development in Computer Vision, Deep learning with applications for Extended Reality and Metaverse; and to continuously transfer innovative technologies to various mobile and wearable XR products. Highlight of past research can be found at the following URL: https://www.innopeaktech.com/research

Requirements
Responsibilities:

• Conduct cutting-edge research and development in 3D computer vision and related fields.

• Transfer advanced technologies to mobile and wearable XR products.

• Explore new products enabled by innovative technologies at its core.

Requirements:

• Master degree in Science or Engineering field is required, PhD degree preferred

• Deep understanding of machine learning algorithms applied to 3D computer vision problems

• Solid background in python and/or C/C++

• Good knowledge of 3D transformations, camera models, camera calibration, and multiple-view geometry, etc.

Preferred qualifications:

• Experience with Deployment and productization of ML models

• Good publication record in top-tier computer vision venues such as CVPR, ICCV, ECCV.

More info | Contact: Grace Yin | Posted on: 2022-06-17

3D Computer Vision Scientist/Engineer

Description
OPPO US Research Center’s XR (Extended Reality) team is looking for scientists/engineers to join us and conduct cutting-edge research and development in Computer Vision, Deep learning with applications for Extended Reality and Metaverse; and to continuously transfer innovative technologies to various mobile and wearable XR products. Highlight of past research can be found at the following URL: https://www.innopeaktech.com/research

Requirements
Responsibilities:

• Conduct cutting-edge research and development in 3D computer vision and related fields.

• Transfer advanced technologies to mobile and wearable XR products.

• Explore new products enabled by innovative technologies at its core.

Requirements:

• Master degree in Science or Engineering field is required, PhD degree preferred

• Deep understanding of machine learning algorithms applied to 3D computer vision problems

• Solid background in python and/or C/C++

• Good knowledge of 3D transformations, camera models, camera calibration, and multiple-view geometry, etc.

Preferred qualifications:

• Experience with Deployment and productization of ML models

• Good publication record in top-tier computer vision venues such as CVPR, ICCV, ECCV.

More info | Contact: Grace Yin | Posted on: 2022-06-17

Technical Leader of Computer Vision

Team Description:
Our Computer Vision team is a leader in the creation of cutting-edge algorithms and software for automated image and video analysis. Our solutions embrace deep learning and add measurable value to government agencies, commercial organizations, and academic institutions worldwide. We understand the difficulties in extracting, interpreting, and utilizing information across images, video, metadata, and text, and we recognize the need for robust, affordable solutions. We seek to advance the fields of computer vision and deep learning through research and development and through collaborative projects that build on our open source software platforms, such as Kitware Image and Video Exploitation and Retrieval (KWIVER) toolkit. Researchers at Kitware enjoy support and encouragement for participation in national and international conferences (such as CVPR, ICCV, ECCV, WACV, and 3DV); and encouragement to seek funding to grow and develop their own research areas, if they desire. The Kitware Vision Group has collaborated with more than 20 universities and maintains active involvement in major vision conferences.

About the Projects:
Kitware’s employees have unique opportunities to interact and collaborate directly with customers, visit interesting customer sites, and participate in live field tests and demonstrations. You will have the opportunity to contribute your skills to projects of national and societal importance. Research and Developer Engineers at Kitware also enjoy benefits commonly associated with a position in academia, such as support and encouragement for the publication of novel work. We partner with premier government R&D agencies such as DARPA, IARPA, and AFRL including prime contracts, SBIRs and STTRs.

In This Position You Will:
- Have the opportunity to lead research efforts and collaborate with leading researchers, with an emphasis on Artificial Intelligence, Machine Learning, and Deep Learning, while working on commercial and academic research and development programs.
- Bring your technical expertise and project management skills to a team of highly skilled and published computational software developers, engineers, and researchers.

Required Qualifications:
- Experience leading commercial and federal business development activities and winning R&D funding.
- Experience developing and nurturing project teams, building an environment of collaboration.
- Excellent project management skills with demonstrable efforts leading and delivering complex research projects on time, within budget, and with a high level of customer satisfaction.
- Experience in supervising and reviewing research and software developed by others.
- Experience designing and implementing complex software systems.
- PhD in Computer Science or related field with a minimum of 6 years relevant experience and/or a Master's degree with 8 years experience and/or Bachelor’s degree with 9 years of experience with at least 2 years of project leadership experience.

Company Description:
Kitware is a research and development software solutions provider with a mission to advance science, make a positive impact, and share our results all within a collaborative, employee-focused work environment that is friendly, fair, and flexible. Our work is improving healthcare outcomes, increasing national security, and advancing our national computing infrastructure. Our customers and collaborators include top universities from around the world, government organizations, national research labs, medical device manufacturers, car manufacturers, financial institutions and many others.

Kitware is proud to be 100% employee owned, and Great Place to Work-Certified™.

Additional Information:
Our team members enjoy a small company environment, flexibility in work assignments, and high levels of independence and responsibility. Besides a great work environment, our comprehensive benefits package includes a generous compensation plan, tuition reimbursement program, flexible working hours, six weeks paid time off, 401(k), health insurance, life insurance, short- and long-term disability insurance, bonus plan, and free coffee, drinks and snacks.

Kitware actively subscribes to a policy of equal employment opportunity. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, age, protected veteran status, uniformed service member status, or any other characteristics protected by applicable law.

More info | Contact: Roxanne Little | Posted on: 2022-06-17

Postdoc Opportunities at Brown IVL with Srinath Sridhar

The Interactive 3D Vision & Learning Lab, Brown IVL (ivl.cs.brown.edu), led by Srinath Sridhar in the CS Department at Brown University is looking for postdocs to join the team. Brown IVL, part of Brown Visual Computing (visual.cs.brown.edu), is a vibrant and diverse research group that works on fundamental 3D computer vision and machine learning problems for better spatio-temporal understanding of how humans interact with objects and scenes. We are also interested in applications of 3D vision/ML in areas such as robotics and mixed reality.

We are looking for candidates who have completed/will soon complete a Ph.D. with a background in 3D computer vision, machine learning, and/or computer graphics. Candidates should have a strong publication record at top-tier venues.

The position will initially be for 1 year and can be extended. As a postdoc, you will work closely with Srinath, students and other faculty at Brown, and external collaborators (e.g., at Stanford). Potential topics include, but are not limited to:

- Neural fields (neuralfields.cs.brown.edu) in visual computing
- 4D human interaction understanding
- Self-supervised 3D scene understanding
- Canonicalization of objects and scenes (ivl.cs.brown.edu/ConDor)
- Language + 3D vision
- 4D perception for robotics/mixed reality

Interested candidates should fill in this Google Form.

Please reach out to Srinath by email (srinath@brown.edu) or in person at CVPR ‘22 for questions.

More info | Contact: Srinath Sridhar | Posted on: 2022-06-17

Cleared Computer Vision C++ Developer Supporting National Security

Team Description:
Our computer vision team is a leader in the creation of cutting-edge algorithms and software for automated image and video analysis. Our solutions embrace deep learning and add measurable value to government agencies, commercial organizations, and academic institutions worldwide. We understand the difficulties in extracting, interpreting, and utilizing information across images, video, metadata, and text, and we recognize the need for robust, affordable solutions. We seek to advance the fields of computer vision and deep learning through research and development and through collaborative projects that build on our open source software platform, such as the Kitware Image and Video Exploitation and Retrieval (KWIVER) toolkit.

About the Projects:
Kitware’s employees have unique opportunities to interact and collaborate directly with customers, visit interesting customer sites, and participate in live field tests and demonstrations. Much of Kitware’s work involves applying state-of-the-art artificial intelligence approaches to dynamic, real-world problems. In this case, you will have the opportunity to contribute your skills to projects focused on national security; making a difference on a daily basis to protect our country. Research and Development Engineers at Kitware also enjoy benefits commonly associated with a position in academia, such as support and encouragement for the publication of novel work.

We partner with premier government R&D agencies such as DARPA, IARPA, AFRL, ONR, and NRL, branches of the US military, and multiple members of the Intelligence Community (IC) on a range of efforts including prime contracts, SBIRs, and STTRs. In addition, we provide commercial services to companies ranging from startups to Fortune 500 companies. Kitware employs an open source business model to foster extended, collaborative communities, and to provide flexible, high-quality technical solutions. If you’ve used CMake, ITK, or VTK, you know our work and the impact it has on the communities we help build.

In This Position You Will:
- Validate, optimize, and deploy advanced exploitation algorithms for national security.
- Contribute your strong programming ability and experience to develop robust solutions for real-world problems.
- Collaborate with researchers on projects related to machine learning, artificial intelligence, and computer vision.
- Perform rapid prototyping and enhanced development to be integrated into operational systems.
- Perform troubleshooting, bug fixes, and maintenance of existing and new code to ensure stability and robustness.

Required Qualifications:
- Skills in C++ including developing, debugging, and deploying operational systems.
- Active TS/SCI clearance.
- BS in computer science, software engineering, computer engineering, systems engineering, physics, mathematics, or a related field.
- 5+ years of software development experience.
- Familiarity with build environments on Windows and Linux systems.
- Expertise using Git for branchy revision control.
- Experience using Github or Gitlab for code reviews, documentation, and release management.
- Ability to work independently and collaboratively with minimal supervision.
- Excellent interpersonal skills and a team player.
- Required skills can be gained concurrent with education, and skills will be measured through passage of a technical screen.
- Due to contractual requirements, this position requires US Citizenship.

Preferred Qualifications:
- Active TS clearance.
- Experience with the certification & accreditation process for cleared software.
- Database experience, including PostgreSQL with GIS extensions and/or Mongo.
- Experience with DevOps tools such as Ansible, Terraform, Chef, Puppet, Vagrant, Packer, and familiarity with Infrastructure as Code practices.
- Experience developing and/or using machine learning, artificial intelligence, and computer vision algorithms.
- Experience with parallel programming.
- Experience with distributed processing, task queues, and workflow management tools.
- Experience working on distributed teams.
- Experience with Jira, Confluence, and Bitbucket.
- Interest and experience in open source software development.
- Excellent customer service focus and communication skills, both oral and written; ability to effectively communicate with multiple individuals in varying levels of the organization.

Company Description:
Kitware is a research and development software solutions provider with a mission to advance science, make a positive impact, and share our results all within a collaborative, employee-focused work environment that is friendly, fair, and flexible. Our work is improving healthcare outcomes, increasing national security, and advancing our national computing infrastructure. Our customers and collaborators include top universities from around the world, government organizations, national research labs, medical device manufacturers, car manufacturers, financial institutions, and many others.

Kitware is proud to be 100% employee-owned, and Great Place to Work-Certified™.

Additional Information:
Our team members enjoy a small company environment, flexibility in work assignments, and high levels of independence and responsibility. Besides a great work environment, our comprehensive benefits package includes a competitive compensation plan, tuition reimbursement program, flexible working hours, six weeks paid time off, 401(k), health insurance, life insurance, short- and long-term disability insurance, bonus plan, and free coffee, drinks and snacks.

Kitware actively subscribes to a policy of equal employment opportunity. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, age, protected veteran status, uniformed service member status, or any other characteristics protected by applicable law.

More info | Contact: Roxanne Little | Posted on: 2022-06-17

Computer Vision Engineer

Team Description:
Our Computer Vision team is a leader in the creation of cutting-edge algorithms and software for automated image and video analysis. Our solutions embrace deep learning and add measurable value to government agencies, commercial organizations, and academic institutions worldwide. We understand the difficulties in extracting, interpreting, and utilizing information across images, video, metadata, and text, and we recognize the need for robust, affordable solutions. We seek to advance the fields of computer vision and deep learning through research and development and through collaborative projects that build on our open source software platform, such as Kitware Image and Video Exploitation and Retrieval (KWIVER) toolkit.

About the Projects:
Kitware’s employees have unique opportunities to interact and collaborate directly with customers, visit interesting customer sites, and participate in live field tests and demonstrations. Much of Kitware’s work involves applying state of the art artificial intelligence approaches to dynamic, real world problems. You will have the opportunity to contribute your skills to projects of national and societal importance. Research and Developer Engineers at Kitware also enjoy benefits commonly associated with a position in academia, such as support and encouragement for the publication of novel work.

In This Position You Will:
- Identify and adapt SOTA machine learning models to exploit new capabilities
- Serve as algorithm liaison between computer vision researchers and software engineers
- Validate, optimize, and deploy advanced signals exploitation algorithms on edge devices
- Build out strategic IoT, edge compute, and robotics capabilities
- Contribute high quality, maintainable code to various open source software projects

Required Qualifications:
- BS (+5 years) or MS (+1 year) in CS, ECE, or related field
- Proficiency in Python, competency with C++
- Experience with deep learning libraries (Torch and/or Keras)
- Strong background in both classical and modern (deep learning) machine learning including model selection, architecting, training, validation, testing, and deployment
- Machine learning experience using visual data
- Understanding of a variety of learning tasks (Object Detection, Segmentation, Re-Identification, Tracking, Pose, Super Resolution, NLP). Hands-on experience a strong plus
- A high level of comfort with academic literature and the ability to adapt research products to solve real-world problems
- Due to contractual restrictions, only candidates that are US Persons (citizens, permanent residents, asylees or refugees) will be considered for this position.

Preferred Qualifications:
- Experience curating quality, real-world datasets for training deep learning models
- Experience with ROS, Docker, Edge Devices (Jetson), Real-Time Processing, Networking, DSP, Robotic Systems, Cloud Deployment, all a plus
- Experience interfacing with hardware and sensors such as cameras and LIDAR
- Knowledge of sUAS systems, both algorithms and payload integration
- Knowledge of agile software processes, reliability, data-driven development, and disciplined but fast experimentation

Company Description:
Kitware is a research and development software solutions provider with a mission to advance science, make a positive impact, and share our results all within a collaborative, employee-focused work environment that is friendly, fair, and flexible. Our work is improving healthcare outcomes, increasing national security, and advancing our national computing infrastructure. Our customers and collaborators include top universities from around the world, government organizations, national research labs, medical device manufacturers, car manufacturers, financial institutions and many others.

Kitware is proud to be 100% employee owned, and Great Place to Work-Certified™.

Additional Information:
Kitware is proud to be a 100% employee-owned company. Our team members enjoy a small company environment, flexibility in work assignments, and high levels of independence and responsibility. Besides a great work environment, our comprehensive benefits package includes a generous compensation plan, tuition reimbursement program, flexible working hours, six weeks paid time off, 401(k), health insurance, life insurance, short- and long-term disability insurance, bonus plan, and free coffee, drinks and snacks.

Kitware actively subscribes to a policy of equal employment opportunity. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, age, protected veteran status, uniformed service member status, or any other characteristics protected by applicable law.

More info | Contact: Roxanne Little | Posted on: 2022-06-17

Senior Robotics Engineer

Who we are:
SLAMcore is a London-based, globally focused startup founded by visual SLAM algorithm pioneers and specialists. Having raised over $30M of VC funding from top investors around the world, we are developing breakthrough spatial intelligence solutions for next generation robots and autonomous machines by harnessing computer vision, sensor fusion and machine learning. Our aim is to greatly reduce the time and cost for companies to deploy advanced robotic solutions whilst delivering performance they could never achieve on their own. Our customers include some of the biggest tech companies on the planet building solutions from vacuum cleaning to warehouse and logistics. 

Our vision for this role:
We are looking for an exceptional individual to join our team as a Senior Robotics Engineer. SLAM is emerging from the research laboratory into real products, but we are only at the beginning of the journey. This technology is evolving into a general Spatial AI capability for intelligent devices, to help them understand and interact with their surroundings. SLAMcore intends to be at the centre of this exciting movement, but to do this well it is essential that our solutions work across a large variety of different robot platforms and sensor configurations. A robot that gets easily lost or a drone that crashes 1 in 100 flights are just toys. We strive to deliver consistent, reliable performance that our customers can truly rely on.
You will be working with our team of world experts in SLAM, computer vision and software engineering to make our flexible and efficient SLAM solutions work across a large variety of robotics platforms. We are looking for a Robotics Software Engineer with strong robotics fundamentals (e.g. transformations, SLAM, sensors, navigation stack..), excellent software engineering skills and significant experience working with ROS/ROS2. You will need to be flexible and comfortable working with code and robots, as well as confident investigating and resolving issues that may occur during field testing. This position will expose you to a vast amount of high performance software and sophisticated algorithms in the world of Spatial AI, which brings a broad range of exciting and challenging tasks to work on.

How you will help:

  • Integrate the SLAMcore SDK into various robotics platforms to support our customers and/or showcase future capabilities of our software
  • Contribute to our SLAMcore SDK to be a key component in robotics applications using ROS and ROS2
  • Design robot navigation strategies across a different number of robotics solutions
  • Design test cases for different robotics solutions and identify/resolve potential issues

The capabilities we are looking for:

  • Strong robotics fundamentals (e.g. sensors, SLAM, navigation, path planning…)
  • ROS and ROS2 experience
  • Proficiency using Linux
  • Experience with git, CMake
  • Commercial experience in C++
  • Demonstrable experience in Python programming or other scripting languages
  • A keen ability to work independently and with minimal supervision
  • First hand experience working on commercial robot applications
  • Excellent communication skills

Bonus points if you have:

  • Working knowledge of visual inertial SLAM
  • Designed sensor calibration processes for robotics applications
  • Strong publications in any of the top robotics conferences: RSS, ICRA, IROS
More info | Contact: Mitch Cassidy | Posted on: 2022-06-17

Machine Learning Release Engineer

Who we are:
SLAMcore is a London-based, globally focused startup founded by visual SLAM algorithm pioneers and specialists. Having raised over $30M of VC funding from top investors around the world, we are developing breakthrough spatial intelligence solutions for next generation robots and autonomous machines by harnessing computer vision, sensor fusion and machine learning. Our aim is to greatly reduce the time and cost for companies to deploy advanced robotic solutions whilst delivering performance they could never achieve on their own. Our customers include some of the biggest tech companies on the planet building solutions from vacuum cleaning to warehouse and logistics. 

Our vision for this role:
We are looking for an exceptional individual to join our team as a Machine Learning Release Engineer. SLAM is emerging from the research laboratory into real products, but we are only at the beginning of a journey. This technology is evolving into a general Spatial AI capability for intelligent devices, to help them understand and interact with their surroundings. SLAMcore intends to be at the centre of this exciting movement by working on the next generation of spatially intelligent systems that combine deep learning and SLAM. To do this well it is critical that our machine learning features run efficiently alongside our SLAM on edge platforms across a variety of robotics applications.
You will be working with our team of world experts in SLAM, computer vision, machine learning and software engineering to release new spatial intelligence solutions that combine deep learning and SLAM. We are looking for a Machine Learning Software Engineer with experience in shipping ML features, as well as a great understanding of classical machine learning and more recent deep learning methods. This position will expose you to a vast amount of high performance software and sophisticated algorithms in the world of spatial intelligence, which brings a broad range of exciting and challenging tasks to work on.

How you will help:

  • Be a key contributor in the implementation and deployment of the machine learning infrastructure of the company
  • Drive the efforts of realising cutting-edge ML research into real-world compute vision products
  • Design efficient ML architectures for various robotics platforms to support our customers and/or showcase future SW capabilities

The capabilities we are looking for:

  • First hand experience of tools used to deploy networks (eg. TensorRT, OpenVino, ONNX, etc.) on edge platforms (eg. Nvidia Jetson series, Qualcomm Snapdragon, etc.)
  • Experience with model optimisation techniques (quantization, pruning, etc.)
  • Insight into metrics for deploying models on real-time resource constrained platforms
  • Proficiency in Python and C++ programming
  • Integration of networks in large software stack
  • Experience with Linux, git and CMake
  • A strong desire to work in a collaborative, team environment
  • Excellent communication and problem solving skills

Bonus points if you have:

  • Previous experience with deep learning applications for scene understanding (object detection, semantic segmentation, instance segmentation)
  • Knowledge of computer vision and/or SLAM
  • Knowledge of continuous model training for deployment
  • Experience in working closely with research teams
  • AWS experience for deployment
More info | Contact: Mitch Cassidy | Posted on: 2022-06-17

Senior C++ Software Engineer

Who we are:
SLAMcore is a London-based, globally focused startup founded by visual SLAM algorithm pioneers and specialists. Having raised over $30M of VC funding from top investors around the world, we are developing breakthrough spatial intelligence solutions for next generation robots and autonomous machines by harnessing computer vision, sensor fusion and machine learning. Our aim is to greatly reduce the time and cost for companies to deploy advanced robotic solutions whilst delivering performance they could never achieve on their own. Our customers include some of the biggest tech companies on the planet building solutions from vacuum cleaning to warehouse and logistics. 

Our vision for this role:
We are looking for an experienced C++ Software Engineer to shape our software stack and drive our technology forward. Our solutions must process significant image data along with additional sensor information, on modern embedded and mobile processors; real-time performance is critical, so you will be skilled in designing and writing efficient software. You will work at the intersection of algorithms and software engineering to push forward the fundamental structure, design and performance of SLAMcore's technology, delivering state-of-the-art solutions for a wide variety of real-world applications. This is a phenomenal opportunity to work on challenging algorithmic and software projects and be exposed to the novel technology and trends in the area of computer vision and robot perception.

How you will help:

  • Design and develop high-performance software in the areas of computer vision and spatial AI
  • Implement new, sophisticated algorithms on computationally limited platforms
  • Maintain and optimise the performance of the existing codebase
  • Acting as an interface, you will work closely with and support our algorithms and development teams
  • Be willing to coach and mentor less experienced members of the team
  • Take technical lead of selected software projects

The capabilities we are looking for:

  • Very strong understanding of different aspects of software engineering
  • You are passionate about exceptional C++ programming and have demonstrable experience in software design, development and optimisation
  • You believe that high code quality, performance, simplicity and maintainability is essential
  • You have experience writing production-level code
  • You are comfortable working with Linux
  • You are excited by, and have some experience in at least one of the following: embedded real-time image processing, computer vision, machine learning, computer graphics or robotics applications
  • You are technically hard-working and a highly efficient problem solver
  • Comfortable and passionate about working in a dynamic, agile, startup environment

Bonus points if you have:

  • Experience in technical team management or software project management
  • Previous experience with open-source libraries e.g, Eigen, Ceres
More info | Contact: Mitch Cassidy | Posted on: 2022-06-17

Lead C++ Software Engineer

Who we are:
SLAMcore is a London-based, globally focused startup founded by visual SLAM algorithm pioneers and specialists. Having raised over $30M of VC funding from top investors around the world, we are developing breakthrough spatial intelligence solutions for next generation robots and autonomous machines by harnessing computer vision, sensor fusion and machine learning. Our aim is to greatly reduce the time and cost for companies to deploy advanced robotic solutions whilst delivering performance they could never achieve on their own. Our customers include some of the biggest tech companies on the planet building solutions from vacuum cleaning to warehouse and logistics.  

Our vision for this role:
With our software engineering team growing we require a Lead C++ Software Engineer to nurture and drive this team forward. This is a very hands-on and technical position but also requires some team lead and project management skills. This is an excellent opportunity to work on challenging algorithmic and software projects in the area of AR/VR and robot perception and help craft our core technology as our business grows.

How you will help:

  • You will design and develop high-performance software in the areas of computer vision, robotics and AR/VR
  • Be our technical lead for a team of software engineers
  • You will be working closely with teams accross product verticals
  • You will report directly to the VP of Engineering and work with them closely

The capabilities we are looking for:

  • You will be passionate about creating clean code specifically in C++, and love software design and development
  • You will be technically hardworking and highly efficient problem solver
  • Have a very sharp eye on code quality, performance, simplicity and maintainability
  • Exposure to working on software development under Linux
  • Experience in technical team management
  • Comfortable and passionate about working in a dynamic, agile, startup environment
  • Experience in all the design stages of a software product
  • Have run software projects previously and be able to provide examples
More info | Contact: Mitch Cassidy | Posted on: 2022-06-17

Computer Vision Researcher

Team Description:
Our Computer Vision team is a leader in the creation of cutting-edge algorithms and software for automated image and video analysis. Our solutions embrace deep learning and add measurable value to government agencies, commercial organizations, and academic institutions worldwide. We understand the difficulties in extracting, interpreting, and utilizing information across images, video, metadata, and text, and we recognize the need for robust, affordable solutions. We seek to advance the fields of computer vision and deep learning through research and development and through collaborative projects that build on our open source software platforms, such as Kitware Image and Video Exploitation and Retrieval (KWIVER) toolkit.

Researchers at Kitware enjoy support and encouragement for participation in national and international conferences (such as CVPR, ICCV, ECCV, WACV, and AAAI); and encouragement to seek funding to grow and develop their own research areas, if they desire. The Kitware Vision Group has collaborated with more than 20 universities in the past five years and maintains active involvement in major vision conferences.

About the Projects:
Kitware’s employees have unique opportunities to interact and collaborate directly with customers, visit interesting customer sites, and participate in live field tests and demonstrations. You will have the opportunity to contribute your skills to projects of national and societal importance. Research and Developer Engineers at Kitware also enjoy benefits commonly associated with a position in academia, such as support and encouragement for the publication of novel work. We partner with premier government R&D agencies such as DARPA, IARPA, and AFRL including prime contracts, SBIRs and STTRs

In This Position You Will:
- Develop robust solutions in the areas of object based detection, feature detection, motion pattern learning and anomaly detection
- Enjoy support and encouragement for participation in national and international conferences (such as CVPR, ICCV, ECCV, WACV, and 3DV)
- Be encouraged to seek funding to grow and develop your own research areas, if you desire

Required Qualifications:
- PhD in Computer Science or related field
- Strong publication record in top-tier research publications and conferences
- Highly innovative and demonstrated track record for solving difficult technical challenges using imagery
- Experience collaborating successfully with others and thriving in a fast-paced and dynamic work environment
- Candidates should include a detailed list of publications as part of their resume/CV

Preferred Qualifications:
- Experience with deep learning methods is desirable, but not required
- Experience with geospatial coordinates systems and transformation is desirable, but not required

Company Description:
Kitware is a research and development software solutions provider with a mission to advance science, make a positive impact, and share our results all within a collaborative, employee-focused work environment that is friendly, fair, and flexible. Our work is improving healthcare outcomes, increasing national security, and advancing our national computing infrastructure. Our customers and collaborators include top universities from around the world, government organizations, national research labs, medical device manufacturers, car manufacturers, financial institutions and many others.

Kitware is proud to be 100% employee owned, and Great Place to Work-Certified™.

Additional Information:
Kitware is proud to be a 100% employee-owned company. Our team members enjoy a small company environment, flexibility in work assignments, and high levels of independence and responsibility. Besides a great work environment, our comprehensive benefits package includes a generous compensation plan, tuition reimbursement program, flexible working hours, six weeks paid time off, 401(k), health insurance, life insurance, short- and long-term disability insurance, bonus plan, and free coffee, drinks and snacks.

Kitware actively subscribes to a policy of equal employment opportunity. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, age, protected veteran status, uniformed service member status, or any other characteristics protected by applicable law.

More info | Contact: Roxanne Little | Posted on: 2022-06-17

Technical Leader - Natural Language Processing (NLP)

Team Description:
Our Computer Vision team is a leader in the creation of cutting-edge algorithms and software for automated image and video analysis. Our solutions embrace deep learning and add measurable value to government agencies, commercial organizations, and academic institutions worldwide. We understand the difficulties in extracting, interpreting, and utilizing information across images, video, metadata, and text, and we recognize the need for robust, affordable solutions. We seek to advance the fields of computer vision and deep learning through research and development and through collaborative projects that build on our open source software platform, such as Kitware Image and Video Exploitation and Retrieval (KWIVER) toolkit.

Researchers at Kitware enjoy support and encouragement for participation in national and international conferences, and are given ample opportunities to seek funding to grow and develop their own research areas, if they desire. The Kitware Vision Group has collaborated with more than 25 universities in the past five years and maintains active involvement in major vision, AI, and ML conferences.

About the Projects:
NLP and Computer Vision research is increasingly interrelated, with common computational approaches and the increasing availability of text + image/video benchmarks. Likewise, multi-modal domains such as social media and news stories are of increasing interest for applications such as disinformation detection, attribution, and characterization. In addition to this, projects at Kitware require understanding written instructions, including natural language rules.

In This Position You Will:
- Bring your technical expertise and project management skills to lead small teams of researchers and engineers on advanced R&D projects funded by government and commercial customers.
- Collaborate with external, well-known academic and industry researchers in Natural Language Processing, ML, AI, and computer vision.
- Lead proposals for new funding from government R&D organizations and/or commercial companies.
- Develop and evaluate algorithms to understand the textual content of textual and multi-modal data, and/or perform reasoning on extracted data.
- Enjoy support and encouragement for participation in national and international NLP, machine learning, AI, and/or computer vision conferences.

Required Qualifications:
- PhD in Computer Science or related field with a minimum of 6 years relevant experience and/or a Master's degree with 8 years experience.
- Strong publication history in NLP (ACL, EMNLP, NAACL) conferences, or other AI venues incorporating NLP (AAAI, ICML, ICLR, NeurIPS). Candidates should include a detailed list of publications as part of their resume/CV.
- Experience collaborating successfully with others and thriving in a fast-paced and dynamic work environment.
- Experience leading federal and/or commercial business development activities and winning R&D funding.
- Experience developing and nurturing project teams, building an environment of collaboration.
- Excellent project management skills with demonstrable efforts leading and delivering complex research projects on time, within budget, and with a high level of customer satisfaction.
- Experience in supervising and reviewing research and software developed by others.
- Experience designing and implementing complex software systems.
- Due to contractual restrictions, candidates that are US Persons (citizens, permanent residents, asylees or refugees) will be preferred for this position.

Preferred Qualifications:
- Experience with natural language text generation using one or more of GPT-2, BERT, or Grover.
- Past work applying NLP to textual instructions and/or rules.

Company Description:
Kitware is a research and development software solutions provider with a mission to advance science, make a positive impact, and share our results all within a collaborative, employee-focused work environment that is friendly, fair, and flexible. Our work is improving healthcare outcomes, increasing national security, and advancing our national computing infrastructure. Our customers and collaborators include top universities from around the world, government organizations, national research labs, medical device manufacturers, car manufacturers, financial institutions, and many others.

Kitware is proud to be 100% employee-owned, and Great Place to Work-Certified™.

Additional Information:
Our team members enjoy a small company environment, flexibility in work assignments, and high levels of independence and responsibility. Besides a great work environment, our comprehensive benefits package includes a competitive compensation plan, tuition reimbursement program, flexible working hours, six weeks paid time off, 401(k), health insurance, life insurance, short- and long-term disability insurance, bonus plan, and free coffee, drinks, and snacks.

Kitware actively subscribes to a policy of equal employment opportunity. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, age, protected veteran status, uniformed service member status, or any other characteristics protected by applicable law.

More info | Contact: Roxanne Little | Posted on: 2022-06-17

Applied Scientist - Multimodal Representation Learning

The Search Science and AI org at Amazon are focusing on representation learning and foundation models for various applications in Amazon. We leverage rich multimodal signals such as text, image, audio, video and structured fields. We build large scale models of different capacities, up to hundreds of billions of parameters, using the most advanced architectures in vision and language. They are used by numerous teams in Amazon and have impact on millions of customers. We are looking for applied scientists at multiple levels (L5-7). Please contact Yi Xu (yxaamzn AT amazon.com) or Son Tran (sontran AT amazon.com), if you are interested.

More info | Contact: Son Tran, Yi Xu | Posted on: 2022-06-17

POSTDOC IN MACHINE LEARNING & MEDICAL IMAGING

POSTDOC IN MACHINE LEARNING & MEDICAL IMAGING | Malibu/Los Angeles (CA, USA)

A postdoctoral position is available in machine learning and medical imaging at Pepperdine University (https://www.pepperdine.edu/) under the supervision of Prof. Fabien Scalzo (http://web.cs.ucla.edu/~fab/)

- Duration: 12-18 months
- Position available immediately until filled
- Work Location is Pepperdine University located in beautiful Malibu, CA (USA)
- Very competitive salary (>$100k)
- Opportunity to collaborate with UCLA Medical Center

Candidates:
· PhD in Medical Imaging, Machine Learning, Computer Vision, Natural Language Processing or other relevant fields.
· Solid programming skills in either Python/Matlab/C++/C.
· Fluent English, spoken and written.

To apply for this position, send your resume to Fabien Scalzo.

More info | Contact: Fabien Scalzo | Posted on: 2022-06-17

Assistant Professor (Tenure Track) in Computer Vision and Machine Learning

Introduction

The University of Amsterdam is hiring an assistant professor in Computer Vision and Machine Learning, who is also interested in extending research to medical data. The position is associated with the POP-AART Lab (Partnership on Online and Personalized AI-enabled Adaptive Radiotherapy), a research ICAI collaboration with the Netherlands Cancer Institute, and Elekta. You are expected to work on fundamental aspects of temporality and geometry in computer vision and machine learning. From a theoretical standpoint, the research in POP-AART includes
• Geometric Deep Learning
• Deep Generative models
• Deep Inverse Models
• Interactive Image Segmentation
• Registration using Deep Learning
• Reinforcement Learning and Simulation
with practical applications on medical spatiotemporal and geometric data with CT and MRI imaging.

You will be appointed as the Scientific Manager of the POP-AART Lab and will be responsible for executing the daily activities in the lab and co-supervising the lab’s 6 PhD students with the lab directors (E. Gavves, J.J. Sonke). For this position we are looking for excellent researchers in Computer Vision and Machine Learning. For exceptionally good candidates, it is possible to start even directly after the PhD with no or limited PostDoc experience.

In terms of teaching, you are expected to contribute to strengthening the curriculum in computer vision and deep learning of the Bachelor and Master AI and related programs such as the bachelor and master Information Systems. The total teaching load will be around 30%. You should have a broad interest in medical AI, computer vision and machine learning, which means that you must be able to teach a wide variety of AI, vision and learning courses in both BSc and MSc.

What are you going to do? (maximum of 120 words)

You are going to carry out AI research in association with the projects mentioned above, as part of the POP-AART lab at the University of Amsterdam and the Netherlands Cancer Institute. You will be appointed as the POP-AART Lab manager and will be responsible for daily activities in close cooperation with the directors prof. Sonke, and dr. Gavves. There will be regular visits to and interactions with the researchers at the Netherlands Cancer Institute and Elekta.
Your tasks will be to:
• Develop new theories and algorithms for modelling temporality and geometry in computer vision and machine learning, within the context of the lab’s research projects as well as by developing your own independent research line;
• Acquire independent funding from sources, examples being via the national funding agency NWO (e.g. VIDI), via EU funding (e.g. ERC Starting Grant), and industry.
• Function as the Scientific Lab manager responsible for daily activities in close cooperation with the directors;
• Collaborate with the PhD students within the POP-AART Lab and researchers of Elekta. This includes helping Elekta writing patent applications to protect inventions from the lab when requested;
• Regularly present intermediate research results at top-tier international conferences and workshops, and publish them in proceedings and journals;
• Organize and execute relevant teaching activities.

What do we require?
• A PhD in a relevant discipline (AI, Applied Mathematics, Computer Science, Medical Imaging, Electrical Engineering,) and a proven record of high quality and diverse academic teaching, preferably at the Bachelor's-, Master's- and PhD-levels;
• A solid publication record in fields related to computer vision, deep learning and machine learning, including top-tier international conferences (CVPR, ICCV, ICLR, NeurIPS, MIDL, MICCAI, MEDIA, etc.) and/or journals published by internationally recognized press;
• Candidates should be able to obtain research funding in a competitive environment;
• Management skills required for general academic administration, organization and coordination tasks;
• Demonstrated ability to promote outstanding and innovative research and foster research collaborations (with faculty, postdoctoral researchers and PhD candidates); demonstrated or academic leadership;
• You excel in teaching and have a clear vision on education, as well as the ability to supervise MSc and PhD candidates.
• Contribute to the organization of the POP-AART lab, the institute, and the faculty, when requested.
• At least two years of postdoctoral experience is expected but not strictly necessary. International research experience is also preferred.
• In possession of the Dutch Basic Teaching Qualification (or foreign equivalent), or willingness to acquire such a qualification within two years.

About the Faculty of Science and the Informatics Institute
The Faculty of Science has a student body of around 7,000, as well as 1,600 members of staff working in education, research or support services. Researchers and students at the Faculty of Science are fascinated by every aspect of how the world works, be it elementary particles, the birth of the universe or the functioning of the brain.

The Faculty of Science of the University of Amsterdam has a student body of around 6,500, as well as 1,600 members of staff working in education, research or support services. Researchers and students at the Faculty of Science are fascinated by every aspect of how the world works, be it elementary particles, the birth of the universe or the functioning of the brain. Amsterdam is a livable city with many cultural amenities.

The Netherlands Cancer Institute is among the top 10 comprehensive cancer centers, combining world-class fundamental, translational, and clinical research with dedicated patient care. Approximately 750 persons are employed in the research laboratories of NKI. Discussions, lectures and seminars are all in English and a multi-national community of postdocs, students and staff members contribute to the stimulating atmosphere of the Institute. We offer an inspiring and interactive research environment, state-of-the-art facilities, training and housing facilities in the vicinity of the Institute.

The position is with Dr. Efstratios Gavves, Associate Professor in the Video & Image Sense lab (VISlab) led by Prof. C. Snoek, and with the Adaptive Radiotherapy group of Prof. Dr. J.J. Sonke.

Application
The UvA is an equal-opportunity employer. We prioritize diversity and are committed to creating an inclusive environment for everyone. We value a spirit of enquiry and perseverance, provide the space to keep asking questions, and promote a culture of curiosity and creativity.
The Informatics Institute strives for a better gender balance in its staff. We therefore strongly encourage women to apply for this position.

Do you recognize yourself in the job profile? Then we look forward to receiving your application by 31 May 2022. You can apply online by using the link below.
[link PeopleXS – will be added by HR]
Applications in .pdf should include:
• CV (max 2 pages) - including a list of publications if applicable and preferred starting date
• Motivation letter (max 1 page) - motivating your choice for this position
• Research statement (max 2 pages) – describing your thoughts/ideas about the project
• Teaching statement (max 1 page)
• List of three references from different institutes (no letters needed yet).

Questions?
Do you have questions about this vacancy? Or do you want to know more about our organisation? Please contact:
Dr. Efstratios Gavves , + 31 (0)20 525 8701, egavves@uva.nl
Prof. dr. ir. Jan-Jakob Sonke, +31 20 5121731, email j.sonke@nki.nl.

More info | Contact: Efstratios Gavves | Posted on: 2022-06-17

Postdoctoral researcher on Deep Learning and Dynamical Systems, PDEs, for Science (2 years)

Introduction

Are you passionate about bleeding edge research on Deep Learning and Dynamical Systems, (Stochastic) Partial Differential Equations, for Sciences? Can we discover, model and explain dynamics inside Neural Networks? Can we use Neural Networks to solve better, more efficiently, more generally, Ordinary and Partial Differential Equations, or stochastic versions of them?

We are looking for a postdoctoral researcher with either Machine Learning, Physics, Applied Mathematics, or Computer Vision background to join a team of 20 researchers working on these very topics (2 years contract); a team that is connected with the ELLIS Network of Excellence in AI; a team with consistent and strong presence in the top Machine Learning and Computer Vision conferences and journals.

What are you going to do?

Beyond static data, static learning, static algorithms, the next innovation in Machine and Deep Learning will be in the direction of Neural Networks Dynamics, Dynamical Systems, and PDEs with focus on scientific data. We are looking for a Postdoctoral researcher who is just as passionate to invest in this direction.

Understanding space and time in machine learning, be it with neural networks, Markov models, deep probabilistic models, and beyond, is one of the biggest problems, especially given the vast availability of video and other high-dimensional time series data. While consumer videos are unconstrained and thus unclear how or what to model about them, ‘videos’ of spatiotemporal scientific recording offer a great opportunity for innovation. For one, they pertain certain and complex spatiotemporal dynamics that modern machine learning algorithms cannot easily model beyond restricted cases. What is more, the underlying science of these dynamics can be used to evaluate and compare algorithms rather than relying on biased human annotations for that. Third, scientific data are almost always spatiotemporal, they are vast and grow at an immense rate, and are ready to be understood by algorithms.

Given all the evidence and potential impact, part of this position will also be co-designing and creating a Spatiotemporal Dynamical Systems Decathlon, which would hopefully act as a catalyst for future research in this direction. This is an ongoing initiative already started and led by the PI, E. Gavves. In this Decathlon we will be organizing scientific data from different disciplines together with respective leading experts, and designing experiments that showcase the value of learning to simulate physical processes across fields.

Learning to simulate is and will keep being an exciting and entirely novel direction of machine learning research both in academia and industry. The PostDoctoral researcher will have the opportunity to work with a team of 20 Ph.D. students working on these problems. The funding is from personal grants with little strings attached, and fundamental research is possible and desirable.

Tasks and responsibilities:

• to show independence in achieving research goals and willingness to collaborate and to supervise PhD students working on deep learning and dynamical systems, differential geometry, sciences;
• to co-lead a large initiative of researchers from multiple disciplines (physics, fluid dynamics, astronomy, biology, chemistry) on developing the Spatiotemporal Dynamical Systems Decathlon;
• to invent, evaluate, and describe novel learning algorithms for spatiotemporal PDE and dynamical systems;
• to contribute to a real-world showcase demo;
• to present research results at international conferences, workshops, and journals;
• to become an active member of the research community and to collaborate with other researchers, both within and outside the Informatics Institute.
• to contribute to teaching activities, such as lectures, lab courses, or supervising bachelor and master students.

What do you have to offer?

• PhD in either an AI-related field (Machine Learning, Computer Vision, Deep Learning) or a Natural Science field ((Applied) Mathematics, Physics, Fluid dynamics, Astronomy, etc);
• be able to invent and evaluate novel algorithm, and present these orally and in writing;
• committed researcher, demonstrated by publications in the top machine learning, computer vision, or other top scientific conferences and journals;
• enthusiastic about Machine Learning and Science and how to interface them
• are able to implement and evaluate machine learning algorithms in Python with deep learning toolkits (PyTorch, TensorFlow);
• are able to implement and evaluate simulations with partial/stochastic differential equation solvers using state-of-the-art libraries;
• are able to work well in teams and communicate fluently in written and spoken English.

Our offer

Choose between the options below (delete what is not applicable):

☒ Scientific staff
We offer a temporary employment contract for 38 hours per week for a period of 24 months. The preferred starting date is as soon as possible.

☐ Tenure track
We offer a temporary employment contract for `` hours per week with a tenure track agreement for the duration of X years (which is part of a X-year temporary contract). The preferred starting date is as soon as possible/[date]/to be discussed. You will be offered a permanent position after positive assessment and evaluation.

☐ PhD position
A temporary contract for 38 hours per week for the duration of 4 years (the initial contract will be for a period of 18 months and after satisfactory evaluation it will be extended for a total duration of 4 years). The preferred starting date is as soon as possible/[date]/to be discussed. This should lead to a dissertation (PhD thesis). We will draft an educational plan that includes attendance of courses and (international) meetings. We also expect you to assist in teaching undergraduates and master students.

☐ Support staff (OBP)/ temporary scientific position
We offer a temporary employment contract for XX (min-max) hours per week for a period of XX months. The preferred starting date is as soon as possible/[date]/to be discussed. Select contract type of extension if applicable X months or delete.

The gross monthly salary, based on 38 hours per week and dependent on relevant experience, ranges between Select scale. This does not include 8% holiday allowance and 8,3% year-end allowance. The UFO profile name profile and level is applicable. A favourable tax agreement, the ‘30% ruling’, may apply to non-Dutch applicants. The Collective Labour Agreement of Universities of the Netherlands is applicable.

Besides the salary and a vibrant and challenging environment at Science Park we offer you multiple fringe benefits:
• 232 holiday hours per year (based on fulltime) and extra holidays between Christmas and 1 January.
• Multiple courses to follow from our Teaching and Learning Centre.
• A complete educational program for PhD students.
• Multiple courses on topics such as leadership for academic staff.
• Multiple courses on topics such as time management, handling stress and an online learning platform with 100+ different courses.
• 7 weeks birth leave (partner leave) with 100% salary.
• Partly paid parental leave.
• The possibility to set up a workplace at home;
• A pension at ABP for which UvA pays two third part of the contribution.
• The possibility to follow courses to learn Dutch;
• Help with housing for a studio or small apartment when you’re moving from abroad.
Are you curious to read more about our extensive package of secondary employment benefits, take a look here.

About us

The University of Amsterdam is the Netherlands' largest university, offering the widest range of academic programmes. At the UvA, 30,000 students, 6,000 staff members and 3,000 PhD candidates study and work in a diverse range of fields, connected by a culture of curiosity.

The Faculty of Science has a student body of around 8,000, as well as 1,800 members of staff working in education, research or support services. Researchers and students at the Faculty of Science are fascinated by every aspect of how the world works, be it elementary particles, the birth of the universe or the functioning of the brain.

The mission of the Informatics Institute (IvI) is to perform curiosity-driven and use-inspired fundamental research in Computer Science. The main research themes are Artificial Intelligence, Computational Science and Systems and Network Engineering. Our research involves complex information systems at large, with a focus on collaborative, data driven, computational and intelligent systems, all with a strong interactive component.

The position is with Dr. Efstratios Gavves, Associate Professor in the Informatics Institute at the University of Amsterdam. Dr Gavves and ERC Starting Grant laureate, who is more than happy to help with mentoring on how to develop an excellent academic profile, including how to work on a vision, prepare proposals, and of course collaborate in excellent research. At the University of Amsterdam, we have an open and friendly attitude to open research, collaborations, and independent thinking.

Want to know more about our organisation? Read more about working at the University of Amsterdam.

Any questions?

Do you have any questions or do you require additional information? Please contact:
• Efstratios Gavves
egavves@uva.nl
T: +31 681495511

Job application

If you feel the profile fits you, and you are interested in the job, we look forward to receiving your application. You can apply online via the button below. We accept applications until and including 01 31st September.

Applications should include the following information (all files besides your CV should be submitted in one single pdf file):

• CV (max 2 pages) - including a list of all publications and preferred starting date, a link to your Ph.D. thesis, a list of projects you have worked on with brief descriptions of your contributions.
• Motivation letter (max 1 page) - motivating your choice for this position and why you are the right candidate
• Research statement (max 2 pages) – describing your ideas about the project and what you be excited to work on
• Two references from different institutes (no letters needed yet).
Please use the CV field to upload your resume as a separate pdf document. Use the Cover Letter field to upload the other requested documents, including the motivation letter, as one single pdf file.

Only complete applications received within the response period via the link below will be considered.

The interviews will be held in the course of within the period of the vacancy.

More info | Contact: Efstratios Gavves | Posted on: 2022-06-17

Senior, High Performance Engineer, Computer Vision

**Please Apply here** https://boards.greenhouse.io/magicleapinc/jobs/3969116

Job Description

In this position, you will work with Magic Leap’s perception software team in developing and optimizing cv_engine - the software engine that is driving all perception algorithms on the Magic Leap 2 platform. In this role you will help the team provide new features, improve test coverage, enhance data collection and visualization tools, and contribute to performance analysis and optimizations.

Responsibilities

Design, implement, integrate and provide tests for cv_engine, the technology supporting all perception algorithms
Analysis and optimization of the perception software stack for GPU, ARM, DSP or similar architectures
Help drive the integration and development of necessary tooling and automation (profiling, testing/verification, monitoring, etc) that allows the team to move faster and more confidently

Qualifications

Strong programming skills in C++ (5+ years)
Strong CS fundamentals, data structures and algorithms, problem-solving, high quality coding, code optimization, memory optimization, performance analysis.
Experience with high throughput, low latency or real time systems or simulations
Multi-process and/or multi-threaded development experience
Experience with source code practices like git, repo, and code reviews

Preferred / additional skills:

Willingness to support developers working on top of the team’s APIs
Experience with GPU programming platforms like CUDA or high performance architectures like VLIW, SIMD
Computer vision, sensors (camera, time-of-flight), image processing
Knowledge of Python

Education

BS in Computer Science or equivalent required. Masters is preferred

Additional Information

All your information will be kept confidential according to Equal Employment Opportunities guidelines

More info | Contact: Clark Padilla | Posted on: 2022-06-17

Lead Software Algorithm Engineer (Computer Vision | DL | ML | Image Processing) (Milpitas, CA)

Company Overview
KLA is a global leader in diversified electronics for the semiconductor manufacturing ecosystem. Virtually every electronic device in the world is produced using our technologies. No laptop, smartphone, wearable device, voice-controlled gadget, flexible screen, VR device or smart car would have made it into your hands without us. KLA invents systems and solutions for the manufacturing of wafers and reticles, integrated circuits, packaging, printed circuit boards and flat panel displays. The innovative ideas and devices that are advancing humanity all begin with inspiration, research and development. KLA focuses more than average on innovation and in 2019 we invested 15% of sales back into R&D. Our expert teams of physicists, engineers, data scientists and problem-solvers work together with the world’s leading technology providers to accelerate the delivery of tomorrow’s electronic devices. Life here is exciting and our teams thrive on tackling really hard problems. There is never a dull moment with us.

Group/Division
With over 40 years of semiconductor process control experience, chipmakers around the globe rely on KLA to ensure that their fabs ramp next-generation devices to volume production quickly and cost-effectively. Enabling the movement towards advanced chip design, KLA's Global Products Group (GPG), which is responsible for creating all of KLA’s metrology and inspection products, is looking for the best and the brightest research scientist, software engineers, application development engineers, and senior product technology process engineers. The LS-SWIFT Division of KLA’s Global Products Group provides patterned wafer inspection systems for high-volume semiconductor manufacturing. Its mission is to deliver market-leading cost of ownership in defect detection for a broad range of applications in the production of semiconductors. Customers from the foundry, logic, memory, automotive, MEMS, advanced packaging and other markets rely upon high-sample wafer inspection information generated by LS-SWIFT products. LS (Laser Scanning) systems enable cost-effective patterned wafer defect detection for the industry’s most sophisticated process technologies deployed in leading-edge foundry, logic, DRAM, and NAND fabs. SWIFT (Simultaneous Wafer Inspection at Fast Throughput) systems deliver all-wafer-surface (frontside, backside, and edge) macro inspection that is critical for automotive IC, MEMS, and advanced packaging processes as well as foundry/logic and memory fabs. LS-SWIFT operates from a global footprint that includes the US, Singapore, India and Germany, and serves a worldwide customer base across Asia, Europe and North America.
Calling the adventurers ready to join a company that's pushing the limits of nanotechnology to keep the digital revolution rolling. At KLA, we're making technology advancements that are bigger—and tinier—than the world has ever seen.

Who are we? We research, develop, and manufacture the world's most advanced inspection and measurement equipment for the semiconductor and nanoelectronics industries. We enable the digital age by pushing the boundaries of technology, creating tools capable of finding defects smaller than a wavelength of visible light. We create smarter processes so that technology leaders can manufacture high-performance chips—the kind in that phone in your pocket, the tablet on your desk and nearly every electronic device you own—faster and better. We're passionate about creating solutions that drive progress and help people do what wouldn't be possible without us. The future is calling. Will you answer?

With over 40 years of semiconductor process control experience, chipmakers around the globe rely on KLA to ensure that their fabs ramp next-generation devices to volume production quickly and cost-effectively. Enabling the movement towards advanced chip design, KLA's LS-SWIFT division, which is responsible for creating wafer inspection products at faster throughput, is looking for an algorithm engineer.

Our product includes machine control software that interface with optics, sensors, robots, electronics, stage; user interface software with desktop and web technology; Image processing, machine learning algorithms; and infrastructure for high-performance computing. Responsibilities of AI engineer include:
Analyze images data from wafer inspection systems using statistical (both traditional & machine learning) metrics.
Formulate traditional and deep learning based computer vision software algorithms to solve anomaly detection and/or classification problems.
Design, prototype, and validate algorithm via prototype implementations.
Lead algorithm feature productization via standard software life cycle process.
Work with product system engineering team to define the algorithm performance specification.
Act as the algorithm representative during system level hardware/software integration, and feature performance characterization.
Provide technical support during product demo and beta, work with domain experts from other functional teams on special customer engagement projects.

Minimum Qualifications
Masters or PhD degree in electrical engineering, computer science or related fields with minimum 10 years of relevant R&D experience.
Strong work experience in designing, developing and deploying machine learning and deep learning algorithm solutions.
Solid background in signal/image processing, computer vision.
Proficient in C++, Python, deep learning programming skills on Windows/Linux platform.
Good interpersonal and communication skills
A self-motivated individual who takes the initiative in a constantly-changing working environment

More info | Contact: Sivaraman Bose | Posted on: 2022-06-17

Algorithm Engineer (Optical Modeling) - Milpitas, CA or Ann Arbor, MI

Company Overview
KLA is a global leader in diversified electronics for the semiconductor manufacturing ecosystem. Virtually every electronic device in the world is produced using our technologies. No laptop, smartphone, wearable device, voice-controlled gadget, flexible screen, VR device or smart car would have made it into your hands without us. KLA invents systems and solutions for the manufacturing of wafers and reticles, integrated circuits, packaging, printed circuit boards and flat panel displays. The innovative ideas and devices that are advancing humanity all begin with inspiration, research and development. KLA focuses more than average on innovation and in 2019 we invested 15% of sales back into R&D. Our expert teams of physicists, engineers, data scientists and problem-solvers work together with the world’s leading technology providers to accelerate the delivery of tomorrow’s electronic devices. Life here is exciting and our teams thrive on tackling really hard problems. There is never a dull moment with us.

Group/Division
With over 40 years of semiconductor process control experience, chipmakers around the globe rely on KLA to ensure that their fabs ramp next-generation devices to volume production quickly and cost-effectively. Enabling the movement towards advanced chip design, KLA's Global Products Group (GPG), which is responsible for creating all of KLA’s metrology and inspection products, is looking for the best and the brightest research scientist, software engineers, application development engineers, and senior product technology process engineers. The RAPID division is the world leading provider of reticle inspection solutions for the semiconductor industry. The company provides inspection solutions to both the mask shops and the semiconductor fabs to ensure that lithography yields are consistently high thus enabling cost-effective manufacturing.

Responsibilities
KLA is seeking a motivated individual for an engineer position in world-class algorithm group within the reticle product division (RAPID).
•This individual will utilize his/her skills in Fourier optics, mathematics, and software to develop algorithms to be integrated into KLA’s state of the art inspection platforms.
•Responsibilities of this position include develop optical modeling of the inspection systems; improve formulation and calibration for better accuracy. This requires abstracting specific tasks into generic mathematic problem and finding customized algorithm solutions; balancing between rigor and practicality through comprehensive data analysis.
•This person is expected to bring forward creative ideas, develop production code and provide support as needed. This candidate shall be able to work independently and provide input to hardware group on image quality and error budget base on Algorithm design and performance.
•Significant experience in C++ production software development and object-oriented programming is essential. Previous deployment of Convolution Neural Network for image applications is preferred.
•The candidate is expected to possess good oral and written communications skills to interact with other development and applications engineers daily.

Minimum Qualifications
Classical and Fourier optics
Computation lithography knowledge strongly preferred
Algorithm development with C++/Python in unix / linux environment
Linear and non-linear optimizations
Capability to formulate creative solutions through analyzing complex data
Machine Learning for image applications
Good communication skills
Ph.D. or M.S. in Physics, Applied Math, EE, Computer Science or related discipline and 3 years of industry work experience.

More info | Contact: Sivaraman Bose | Posted on: 2022-06-17