Job Board

The position being announced here relates to Physics-based Artificial Intelligence. The position entails developing machine learning models towards interpretable and scalable artificial intelligence, and with life science interpretations from 2D/3D microscopy (fluorescently-labeled and label-free) image and video data of biological samples as the target application area. The position offers a unique opportunity of developing career in a highly multidisciplinary (artificial intelligence, physics/optics, life science, computational modeling) cutting edge research arena with a potential to create high impact. The candidate will have opportunity to work across two teams – Bio-AI Lab (https://www.bioailab.org/) and 3Dnanosopy group (https://www.3dnanoscopy.com/) which are both funded through several prestigious EU and Research Council of Norway projects.

Duration: The normal period of appointment is three years. Start date: early 2023.

Location: UiT The Arctic University of Norway, Tromsø, Norway

Salary: The remuneration for Postdoctoral research fellow is in accordance with the State salary scale code 1352. At present gross salary for postdoctoral fellow starts at NOK 553,100 per annum. A compulsory contribution of 2% to the Norwegian Public Service Pension Fund will be deducted.

Related research papers:

- A.A. Sekh, I-S. Opstad, A.B. Birgisdottir, T. Myrmel, B.S. Ahluwalia, K. Agarwal, and D. K. Prasad, “Learning nanoscale motion patterns of vesicles in living cells,” IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Washington, USA, 14-19 June, 2020.
- A.A. Sekh, I-S. Opstad, G. Godtliebsen, A.B Birgisdottir, B.S. Ahluwalia, K. Agarwal, and D.K. Prasad, “Physics-based machine learning for subcellular segmentation in living cells” Nature Machine Intelligence, 3(12), 1071-1080, 2021.
- Z. Liu, M. Roy, D.K. Prasad, and K. Agarwal, “Physics-Guided Loss Functions Improve Deep Learning Performance in Inverse Scattering,” IEEE Transactions on Computational Imaging, 8, 236-245, 2022.

Qualification requirements:

This position requires a PhD degree or equivalent in Computer Science, Mathematics, Computing, or Engineering in topics related to artificial intelligence. The candidate must have had experience with developing, customizing, and applying modern deep learning architecture. Candidate should have a publication and open source code profile related to these topics. Experience of publishing works related to artificial intelligence in top computer science publication venues (CVPR, ECCV, ICCV, NeurIPS, ICML, ICLR, IEEE TIP, IEEE TPAMI, IEEE TCI, IEEE TMI) is preferred. Experience of supervising/mentoring students at bachelor, master, or PhD level is a plus.

The other mandatory requirements are:

Experience of working with computer vision and deep learning toolkits on at least one of the following platforms – Python, C/C++, MATLAB, Keras, PyTorch, Tensor Flow
Demonstration of programming proficiency in at least 2 of the following platforms: Python, MATLAB, OpenCV, Keras/PyTorch/Tensor Flow,etc.
A successful candidate should have a strong interest in at least one of the following topics: fundamental machine learning, neural network architecture, artificial intelligence, scalable learning, and interpretable learning, artificial intelligence for bioimaging.

Emphasis shall also be attached to personal suitability.

Interested candidate can contact Dr. Dilip Prasad (dilip.prasad@uit.no) and/or Dr. Deepak Gupta (deepak.gupta@uit.no).

Your mission
→ Take control of our spectral sensor and custom automation projects.
→ Design and implement the software to control a spectral sensor,
including existing embedded systems (Intel® RealSenseTM + FLIR camera systems).
→ Help to integrate the sensor into custom automation solutions and drive the
development of the embedded components to improve imaging speed and
capabilities.
→ Perform first pre-processing steps on the sensor to reduce bandwidth requirement
and fully utilize the onboard computing powers.
→ Bridge the gap from the sensor to S3 buckets.
→ Travel the world to help us set-up the system
and make simplified plant production a reality.

Your skills
| Proven work experience in Software Engineering
| Experience in hands-on development and troubleshooting
on hardware systems
| Solid programming experience in C or C++
| Love for Ubuntu and scripts
| Git and documenting the code comes naturally
| Joy in improving hardware systems
| Hunting down and exterminating errors
| A plus are experiences with Intel Realsense and Flir cameras,
CAN protocol and/or embedded software
| Experience with OpenCV and Sensor Fusion is a huge bonus

Company Description
At AeroVect, we provide autonomous driving solutions to some of the busiest airports and logistics hubs in the world. Backed by top-tier investors, AeroVect is shaping the future of structured autonomy, beginning with self-driving tow tractors.

If you have a passion for applying autonomous driving technologies to impact the flow of goods for millions of people, we want to talk to you!

Job Description
We are looking for a Senior Planning Engineer who knows how to bring world class planner system design to autonomous driving systems in structured, low-speed environments.

In this role, you'll own, revise, and scale a core planning module at a fast-paced, early-stage startup. Leveraging your experience building production-grade planners, you’ll propel the AeroVect Driver to handle various driving scenarios, achieving category-defining vehicle autonomy for the airport operational design domain.

Your scope will include leading the system design and implementation of key improvements to the current AeroVect planner including the global mission planner, behavior planner, and motion planner.

The generalist engineer will be a part of the core autonomy team responsible for system requirements and validation of autonomous driving capabilities across various areas of the autonomy stack. Key responsibilities include designing, implementing, testing, and documenting robotics systems and features in C/C++ on desktop and embedded platforms.

The opportunity offers a technical, hands-on team leader the chance to help develop a market-defining enterprise product that combines autonomous vehicle technology with a robotics-as-a-service (RaaS) business model. This role reports directly to our co-founders, and works closely with the autonomy engineering team.

What You’ll Do

Define, implement, and own hands-on improvements to upgrade the core planner module, targeting milestones, growing the team, and working with internal/external partners — expect to spend 80% of your time performing hands-on development, with the remaining 20% leading the planning module roadmap, including directing schedule, removing obstacles, and coaching the team to hit aggressive milestones.

Lead a team of engineers bringing up all components necessary for reliable autonomous driving in the airside environment, including vehicle corridors and the apron.

Design, implement, test, and support all aspects of ground vehicle autonomy, including planning, prediction, perception, localization, controls, and infrastructure subsystems

Qualify all subsystems using objective measures, with an eye to functional safety and systems engineering best practices

Collaborate with vehicle engineering to create an integrated system, including sensor/compute selection and integration

Understand and keep up-to-date with state of the art

Qualifications
Minimum Qualifications

Prior background (academic or industrial) in development of planning modules for autonomous systems

Strong theoretical knowledge of one or more areas of planning: trajectory generation, behavior planning

Bachelor’s Degree or Master’s Degree candidate in Computer Science, Math, Electrical Engineering, Mechanical Engineering, Robotics, Physics, or related field

Strong C++ (preferred) or Python programming and algorithmic problem solving skills

Working experience in a Linux based Operating System

Experience using the Robot Operating System (ROS) framework and tools like Rviz, rqt, tf, etc.

Strong reasoning skills and mathematics background including linear algebra, geometry, calculus, optimization, and probability to name a few

Solid engineering background with hands-on design and development experience

Experience with field testing autonomous systems

Highly collaborative nature and exceptional communicator

Desired Qualifications

MS or PhD in Computer Science, Math, Robotics or a related field

In-Depth understanding of DDS frameworks like ROS/ROS2 or other networking middleware

Proven track record of system development and successful deployment of unmanned systems in existing or upcoming products

Mastery of Modern C++ (14 and beyond) and safety critical coding practices (MISRA and ISO 26262 compliance)

2+ years of focused industry experience on planning for robotic ground vehicles

Additional Information
AeroVect is a technology company that applies the latest advances in autonomous driving systems to create today the logistics centers and air cargo operations of the future. We work with major hubs around the world to bring self-driving tow tractors to life.

Our team of engineers and industry application specialists have collectively spent decades developing cutting-edge autonomy and aerospace technologies. Founded on the principles of safety, efficiency, and reliability, our mission is to deliver customer-first autonomy solutions that make logistics work for millions of people while having lots of fun on the way. Read more on our website at www.aerovect.com .

Company Description
At AeroVect, we provide autonomous driving solutions to some of the busiest airports and logistics hubs in the world. Backed by top-tier investors, AeroVect is shaping the future of structured autonomy, beginning with self-driving tow tractors.

If you have a passion for applying autonomous driving technologies to impact the flow of goods for millions of people, we want to talk to you!

Job Description
We are looking for a Robotics Engineer to join our fast paced team who can design and implement solutions for reliable autonomous technologies used in airside logistics. The generalist engineer will be a part of the core autonomy team responsible for system requirements and validation of autonomous driving capabilities across various areas of the autonomy stack. Key responsibilities include designing, implementing, testing, and documenting robotics systems and features in C/C++ on desktop and embedded platforms.

In this role, you will help grow our ADS software stack in a fast-paced, early-stage startup environment. There's no busy work here — you will be a primary contributor in the development of next-generation structured autonomy software, characterizing solutions and feature improvements for automated cargo movement at major airports across the globe.

This role will work closely with and report to the Autonomy Lead.

Qualifications
Minimum Qualifications

Prior background (academic or industrial) in development of autonomous systems

Theoretical knowledge of one or more areas of autonomous driving : localization, perception, tracking & prediction, planning, control or overall system development

Bachelor’s Degree or Master’s Degree candidate in Computer Science, Math, Electrical Engineering, Mechanical Engineering, Robotics, Physics, or related field

Strong C++ (preferred) or Python programming and algorithmic problem solving skills

Working experience in a Linux based Operating System

Experience using the Robot Operating System (ROS) framework and tools like Rviz, rqt, tf, etc.

Strong reasoning skills and mathematics background including linear algebra, geometry, calculus and probability to name a few

Solid engineering background with hands-on design and development experience

Experience with field testing autonomous systems

Highly collaborative nature and exceptional communicator

Desired Qualifications

MS or PhD in Computer Science, Math, Robotics or a related field

In-Depth understanding of DDS frameworks like ROS/ROS2 or other networking middleware

Proven track record of system development and successful deployment of unmanned systems in existing or upcoming products

Mastery of Modern C++ (14 and beyond) and safety critical coding practices (MISRA and ISO 26262 compliance)

Proven knowledge of Linux kernel internals (process scheduler, memory management, concurrency/synchronization, memory allocation, file systems), networking, and storage subsystems architecture

Additional Information
AeroVect is a technology company that applies the latest advances in autonomous driving systems to create today the logistics centers and air cargo operations of the future. We work with major hubs around the world to bring self-driving tow tractors to life.

Our team of engineers and industry application specialists have collectively spent decades developing cutting-edge autonomy and aerospace technologies. Founded on the principles of safety, efficiency, and reliability, our mission is to deliver customer-first autonomy solutions that make logistics work for millions of people while having lots of fun on the way. Read more on our website at www.aerovect.com .

AICS is looking for talented AI researchers in the fields of Computer Vision and Machine Learning to join our newly established Research team - see https://aics.asus.com/ai-research-en/ Specific research topics of interest include knowledge discovery, domain generalization, long-tailed learning, self-supervised approaches.

AICS is a software division with a start-up vibe, innovation, and sound growth mindset. We focus on providing SaaS and AI solutions to solve real problems in the healthcare domain. You will work side-by-side with renowned scholars and researchers on the most advanced AI problems. You will also have the chance to work directly with our business partners and develop your research using real domain data. You will publish your research results in prestigious conferences or journals.

Responsibilities:

• Conduct cutting-edge research and development in CV, ML, and other related fields.
• Work closely with partners and engineers to create or improve algorithm/model performance and transfer advanced technologies to products.
• Author quality and peer-reviewed publications.
• Collaborate with university partners on research projects, co-supervise students and interns.

Qualifications:

• Ph.D. in electrical engineering, computer science, or related fields, with relevant specialization.
• Experience working in an academic and/or industry research lab.
• Strong record of publications in high-impact conferences and journals.
• Hands-on algorithm and model development using deep learning frameworks and programming languages like Python or C/C++.
• Strong written and verbal communication skills.

Multiple full-time positions are available in the areas of computer vision, machine learning and augmented reality. Successful candidates will work on externally funded research projects involving the development of advanced computer vision and deep learning algorithms for a wide range of applications including health, robotics, precision agriculture and/or augmented reality, to name a few. The selection of PhD topics will take into account the applicant’s interests, strengths as well as the requirements of the research funding bodies. Successful candidates will integrate a dynamic multidisciplinary team and contribute to new and exciting research.

Winthrop Professor Mohammed Bennamoun
https://research-repository.uwa.edu.au/en/persons/mohammed-bennamoun
https://scholar.google.com.vn/citations?user=ylX5MEAAAAAJ&hl=en
https://staffhome.ecm.uwa.edu.au/~00051632/

WHO WE ARE:
Intelinair, Inc. is an aerial imagery analytics company focused on agriculture that delivers actionable intelligence to help farmers make data-driven decision to improve operational efficiency, yields, and ultimately their profitability.

WHAT WE DO:
Intelinair combines the power of aerial imagery analytics through traditional computer vision and modern deep learning methodologies, agronomic science, and user-friendly interface technologies to deliver real-time decision support to farmers. We deliver actionable and detailed crop intelligence that can be used immediately. Intelinair’s flagship solution AGMRI, is a field health monitoring and early-warning system that enables growers to use technology to manage their operations proactively and with confidence.

WHO WE HIRE:
Intelinair employs a diverse set of team members from all walks of life. We need future employees that will help us to continue to illustrate and live our company’s core behaviors of Drive Innovation, Build Trust and Be Collaborative! Here are a few roles that we employ:
Machine Learning Engineer
Machine Learning/Computer Vision Scientists
Product Design Managers
Data Scientists

WHAT WE OFFER:
Competitive Compensation
Medical, Dental and Vision Benefits…and more
Employee Stock Options
401K Program
Flexible Work Arrangements
Ability to Grow and Develop

Check out our Intelinair Careers Page and Apply to our available positions @ Intelinair Careers
https://insights.intelinair.com/careers/

Connect to our Talent Community to be notified about future opportunities!

Multiple Postdoctoral Positions at Boston Children’s Hospital and Harvard Medical School
Position description: The Computational Radiology Laboratory (CRL) directed by Prof. Simon Warfield at Boston Children’s Hospital and Harvard Medical School has several immediate openings for highly motivated post-doctoral research fellows to develop motion-compensated image acquisition and reconstruction algorithms, motion-robust quantitative MR imaging techniques, and automated image analysis using deep learning tools to compute imaging markers of disease from MR images of the brain and abdomen for projects funded by the National Institutes of Health.
The researchers will develop highly innovative imaging and image processing techniques and software tools to correct for motion and distortion, and reconstruct high-resolution images and estimate quantitative model parameters to generate markers of disease in using several quantitative MRI techniques. The researchers will have access to radiologists, MR physicists, a dedicated 3T research MRI scanner, and many clinical scanners, will have mentorship from an expert team of principal investigators, and will directly work with Assistant Profs. Onur Afacan and Sila Kurugol, and will attend courses and seminars offered at Boston Children’s Hospital, Harvard Medical School, and Harvard Catalyst.
About CRL: The mission of CRL is improving our understanding of the structure and function of the brain and other organs of the human body, in order to improve our capacity to diagnose and treat disease. CRL is located at Boston Children’s Hospital (BCH), which is ranked #1 in US News ranking of pediatric hospitals. Researchers at CRL are affiliated with Harvard Medical School, which is ranked #1 in US News ranking of medical schools. Boston is known as a hub for healthcare and medical innovations, and a beautiful city full of top-rank universities. Opportunities for cross-training and networking are enormous with several top-rank universities (Harvard, MIT, Northeastern, and Boston University), top-rank hospitals and medical research centers, and biotechnology and pharmaceutical companies in the neighborhood.
Position 1: Postdoctoral fellowship in MRI and signal processing
Minimum requirements
• PhD in electrical or biomedical engineering, computer science, medical physics, or a related field with a research focus on biomedical image computing, magnetic resonance imaging
• Demonstrated record of high-quality publications in the field
• Demonstrated analytical, verbal, and scientific writing skills
• Demonstrated record of high-performance scientific programming (Python, Matlab, and/or C++)

Highly desired qualifications:
• Experience in one or more of the following is preferred:
o Knowledge of MR physics
o Experience in MR image acquisition or reconstruction
o Experience in medical image analysis

Position 2: Postdoctoral fellowship in machine learning methods for MR image analysis
Minimum requirements
• PhD in electrical or biomedical engineering, computer science, medical physics, or a related field with a research focus on biomedical image processing/medical image computing, machine learning, computer vision, and/or magnetic resonance imaging
• Demonstrated record of high-performance scientific programming with python and/or C++
• Demonstrated record of high-quality publications in the field
• Demonstrated analytical, verbal thinking and scientific writing skills

Highly desired qualifications:
• Experience in machine learning/ deep learning in MRI
• Experience in MR image analysis
• Experience in semi supervised learning/ transfer learning/ active learning

Position 3: Postdoctoral fellowship in quantitative MRI

Minimum requirements
• PhD in electrical or biomedical engineering, computer science, medical physics, or a related field with a research focus on biomedical image processing/medical image computing, machine learning, computer vision, and/or magnetic resonance imaging
• Demonstrated record of high-performance scientific programming
• Demonstrated record of high-quality publications in the field
• Demonstrated analytical, verbal thinking and scientific writing skills

Highly desired qualifications:
• Experience in machine learning/ deep learning in MRI
• Experience in signal processing
• Experience in medical image analysis

To apply: Please send your CV along with a copy of a technical paper, the desired start date, a paragraph including statement of goals and three references to Dr. Onur Afacan (onur.afacan@childrens.harvard.edu) and Dr. Sila Kurugol (sila.kurugol@childrens.harvard.edu) and Computational Radiology Laboratory, Boston, USA. http://crl.med.harvard.edu/, and Quantitative Intelligent Imaging Lab (Quin) https://projects.iq.harvard.edu/quin.

Interested in Machine Learning (ML) and Artificial Intelligence (AI)? Our team's mission is to make machine learning easy, stronger, and universal across data driven products and businesses. Our vision is to bring the best of humans and ML/AI algorithms to improve the entire machine learning model development lifecycle (the loop). We specialize in developing managed Human-in-loop ML/AI services (HIL) such as SageMaker Ground Truth for model training, Amazon Augmented AI for model inference, and Mechanical Turk for crowd intelligence. Our strategy is to bring the best of ML based automation to tasks such as ground truth generation via active learning and online learning approaches. Similarly, we provide powerful (human+machine) solutions for improving the efficiency of human processes via Augmented Artificial Intelligence.

We are seeking an experienced Senior Applied Scientist for the Human-in-loop ML/AI Services team. This is a role that combines science leadership, organizational ability, technical strength, product focus and business understanding. It will be your job to help develop ML science for human-in-loop problems and work closely with the engineering team to ship them to our customers. You are also expected to advise the HIL leadership team, mentor applied scientists on the HIL Science team, and be a role model for Amazon Leadership Principles.

Strong technical skill and experience with machine learning, computer vision, or NLP is required. Our customers are strongly technical and the solutions we build for them are strongly coupled to technical feasibility.

If you are ready for the challenge, come and help us design the future.

The Bosch Research and Technology Center North America with offices in Sunnyvale, California, Pittsburgh, Pennsylvania and Cambridge, Massachusetts is part of the global Bosch Group (www.bosch.com), a company with over 70 billion euro revenue, 400,000 people worldwide, a very diverse product portfolio, and a history of over 125 years. The Research and Technology Center North America (RTC-NA) is committed to providing technologies and system solutions for various Bosch business fields primarily in the areas of AI empowered Human Machine Interaction (HMI), Robotics, Energy Technologies, Internet Technologies, Circuit Design, Semiconductors and Wireless, and MEMS Advanced Design.

Bosch Research and Technology Center North America is looking for AI researchers and engineers at our Silicon Valley and Pittsburgh offices:

Silicon Valley:
(Senior) AI Research Scientist – Perception and Machine
https://smrtr.io/9qnjr
https://smrtr.io/9qnP3

(Senior) AI Research Scientist – Representation Learning
https://smrtr.io/9qp3D
https://smrtr.io/9qp4q

(Senior) Research Scientist for Natural Language Processing (NLP)
https://smrtr.io/9yQXM
https://smrtr.io/9yQYy

(Senior) NLP Research Engineer
https://smrtr.io/8-ZGP
https://smrtr.io/8-ZFN

Pittsburgh:
Research Scientist - Machine Learning and Signal Processing
https://smrtr.io/9yQZP

Deep Learning Research Engineer
https://smrtr.io/9yQ-d

WHO WE ARE:
Intelinair, Inc. is an aerial imagery analytics company focused on agriculture that delivers actionable intelligence to help farmers make data-driven decision to improve operational efficiency, yields, and ultimately their profitability.

WHAT WE DO:
Intelinair combines the power of aerial imagery analytics through traditional computer vision and modern deep learning methodologies, agronomic science, and user-friendly interface technologies to deliver real-time decision support to farmers. We deliver actionable and detailed crop intelligence that can be used immediately. Intelinair’s flagship solution AGMRI, is a field health monitoring and early-warning system that enables growers to use technology to manage their operations proactively and with confidence.

WHO WE HIRE:
Intelinair employs a diverse set of team members from all walks of life. We need future employees that will help us to continue to illustrate and live our company’s core behaviors of Drive Innovation, Build Trust and Be Collaborative!

Here are a few roles that we employ:
Machine Learning Engineer
Machine Learning/Computer Vision Scientists
Product Design Managers
Data Scientists

WHAT WE OFFER:
Competitive Compensation
Medical, Dental and Vision Benefits…and more
Employee Stock Options
401K Program
Flexible Work Arrangements
Ability to Grow and Develop

Check out our Intelinair Careers Page and Apply to our available positions @ Intelinair Careers
https://insights.intelinair.com/careers/

Connect to our Talent Community to be notified about future opportunities!

Computer Vision Laboratory led by Prof.Dr. Radu Timofte, from the newly established Center for Artificial Intelligence and Data Science, University of Wurzburg, is looking for outstanding candidates to fill several postdoctoral and doctoral researcher fully-funded positions in the AI, computer vision, and machine learning fields.

Julius Maximilians University of Würzburg (JMU), founded in 1402, is one of the leading institutions of higher education in Germany and well-known on the international stage for delivering research excellence with a global impact. The University of Würzburg is proud to be the home of outstanding researchers and fourteen Nobel Prize Laureates. Würzburg is a vibrant city in Bavaria, Germany’s economically strongest state and home base to many international companies. We look forward to welcoming you to the University of Würzburg!

Computer Vision Laboratory and University of Würzburg in general are an exciting environment for research, for independent thinking. Prof. Radu Timofte’s team is highly international, with people from about 12 countries, and the members have already won awards at top conferences (ICCV, CVPR, ICRA, NeurIPS, ...), founded successful spinoffs, and/or collaborated with industry. Prof. Radu Timofte is a 2022 winner of the prestigious Humboldt Professorship for Artificial Intelligence Award. Prof. Radu Timofte also leads the Augmented Perception Group at ETH Zurich.

Depending on the position, the successful candidate will focus on a subset of the following

Research Topics:

• deep learning
• computational photography
• domain translation
• learned image/video compression
• image/video super-resolution
• learning paradigms
• 3D
• image/video understanding
• augmented and mixed reality
• edge inference and mobile AI
• super-resolution microscopy

The tasks will involve designing, developing, and testing novel ideas and solutions in cutting-edge research, as well as coordinating and conducting data collection for their evaluation when necessary. The successful candidate will conduct research on deep learning machines and a new cluster with hundreds of GPUs.

Profile

• Master's degree in AI, computer science, electrical engineering, physics or applied mathematics/ statistics.
• Good programming skills, experience with Python / C++ and deep learning frameworks (PyTorch/TensorFlow).
• Interest, prior knowledge and experience in one or more of the following is a plus: computer vision, deep learning, machine learning, image processing, artificial intelligence.
• Enthusiasm for leading-edge research, team spirit, and capability of independent problem-solving.
• Fluent written and spoken English is a must.
• Postdoctoral applicants are expected to have a strong track of published research, including top, high impact, journal (such as PAMI, IJCV, TIP, NEUCOM, JMLR, CVIU) or conference (such as ICCV, CVPR, ECCV, ICRA, NeurIPS, ICLR, AAAI) papers.

Timeline

The positions are open immediately, fully funded, the salaries of the doctoral students and postdocs are competitive on the German scales TV-L E13 and E14, up to 70k euros per year, before tax.

Typically a PhD takes ~4 years to complete and a postdoc position is for at least 1 year.

The applications received by 15.07.2022 will be reviewed by 31.07.2022. Only the selected applicants will be contacted by email for interviews.

After 15.07.2022 the applications will be reviewed on a rolling basis until all positions are filled.

Application

Interested applicants should email asap their PDF documents (including full CV, motivation letter, diplomas, transcripts of records, links to master or PhD thesis, referees / recommendation letters, certificates, etc.) to Prof. Dr. Radu Timofte at radu.timofte@uni-wuerzburg.de or radu.timofte@vision.ee.ethz.ch

Well-funded start-up in stealth mode looking for computer vision scientists and data scientists. We have partnered with a major movie studio and are working in the cross-section of web3 and AI. We are working on being the the authenticity layer for web3.

The company is in the content authenticity space as well as synthetic content space. Our focus is two-fold to authenticate content on the web as well as generating new art from existing content and art and tracking the provence.

Looking for candidates who are interested in:
- Image matching and image analysis
- Synthetic content generation using
- style-gans
- generative gans
- deep fakes
- Familiarity with:
- Developing and designing algorithms in deep learning and computer vision

The Computer Vision Laboratory (CVL) is growing and we are looking for candidates for a position as Assistant Professor (tenure track) in Machine Learning with specialization on Remote Sensing.
Researchers at Swedish universities keep their IPR completely (so-called teachers' exemption) and are encouraged to use results from their own research in collaboration with industry and own start-ups.
CVL has, among others, tight collaboration with Maxar, who has a large satellite image analysis division in Linköping.

OPPO Research Institute is looking for Computer Vision (Research) Engineers/scientists at all levels to join our AI Research Team and conduct cutting-edge research and development in Computer Vision.
Responsibilities:
• Conduct cutting-edge research and development in computer vision and related fields.
• Transfer advanced technologies to incubate products for mobile and wearable devices.
• Explore new products enabled by innovative technologies at its core.
Requirements:
• Master degree in Electrical Engineering/Computer Science or a related field (mathematics, physics or computer engineering), with a focus on computer vision and/or machine learning, PhD degree preferred.
• Research experience in developing deep learning algorithms applied to computer vision problems.
• Familiar with at least one of the deep learning frameworks such as TensorFlow and PyTorch.
• Strong programming and debugging skills in Python and/or C/C++.
Preferred Qualifications:
• Experience with deployment and productization of ML models.
• Good publication record in top-tier computer vision venues such as CVPR/ECCV/ICCV/NIPS/AAAI/IJCV etc.

Activeloop is the database for AI company. We connect raw data to Machine Learning models instantly empowering data scientists to focus on what is truly important: training ML models, instead of messing with the data. We enable organizations to unlock the true potential of their unstructured data, faster and cheaper.

As a Developer Evangelist, you will promote our main products, Activeloop Hub and Activeloop Platform, a software product for unstructured data management, specifically designed for machine learning engineers, and will also promote the idea of open datasets to foster a community around that.

You will share your knowledge and experience on Hub and Activeloop-empowered cutting-edge technologies with the AI developer community and encourage developers to host their open datasets on TensorBay. Your work will foster a user community inspired by Activeloop Hub/Platform and the spirit of open datasets, empowering AI developers to better utilize our product to bring transformational changes to AI.

You will also contribute to the open datasets community by connecting with other AI developers and sharing your work about open datasets on conference panels, meetups, articles, and blogs. You will encourage more forces to join the open datasets community and openly share their datasets and will also collaborate with those who want to create greater value via better utilizing open datasets.

Our focus is on generating awareness about Activeloop, contributing to the open-source ecosystem, and enabling others to become evangelists promoting open datasets.

What You Will Be Doing

Activeloop is the database for AI company. We connect raw data to Machine Learning models instantly empowering data scientists to focus on what is truly important: training ML models, instead of messing with the data. We enable organizations to unlock the true potential of their unstructured data, faster and cheaper.

We’re looking for a Sales Development Representative to join our growing sales and marketing team on a full-time basis. Sales Development Representatives (SDRs) play a key role in executing our strategic plan to partner with data science teams around the world.

This is an opportunity to learn by doing, as you will work closely with the leadership of a rapidly growing start-up and interacting with data scientists around the world.

What You Will Be Doing

Activeloop is the database for AI company. We connect raw data to Machine Learning models instantly empowering data scientists to focus on what is truly important: training ML models, instead of messing with the data. We enable organizations to unlock the true potential of their unstructured data, faster and cheaper.

Activeloop, the database for AI company, is looking for an experienced Senior Software Architect to develop distributed databases for AI/ML applications. The goal is to enable data scientists to build AI products faster by replacing existing complex data infrastructure with an interactive database designed specifically for deep learning. To achieve this goal, we are looking for a Software Architect who has a deep understanding of large, scalable, distributed systems, high-performance computing, and deep learning.

What You Will Be Doing

Well-funded start-up in stealth mode looking for computer vision scientists and data scientists. We have partnered with a major movie studio and are working in the cross-section of web3 and AI. We are working on being the the authenticity layer for web3.

The company is in the content authenticity space as well as synthetic content space. Our focus is two-fold to authenticate content on the web as well as generating new art from existing content and art and tracking the provence.

Looking for candidates who are interested in:
- Image matching and image analysis
- Synthetic content generation using
- style-gans
- generative gans
- deep fakes
- Familiarity with:
- Developing and designing algorithms in deep learning and computer vision

The Camera and Photos team focuses on building engaging new tools and experiences for the capture, editing, and sharing of trillions of visual memories each year. Within this context, our Computational Imaging team provides the algorithms and image processing solutions that advance camera technology in iPhone and iPad every year. Combining ground breaking machine learning and computer vision techniques with next-generation hardware, our team takes the mobile photography experience to the next level. Recent developments that have reshaped the camera capture pipeline and aesthetic include high-level semantic understanding per frame, personalized photographic styles, and skin-tone-aware subject rendering. If you are passionate about finding and solving new problems that will push the capabilities of the modern camera, we have the job for you.

Our team is seeking an extraordinary, driven, and innovative research scientist to work on special computer vision, machine learning, and image processing solutions. In this role you will research, design, and implement novel computational imaging algorithms to contribute to future iterations of Apple’s products. Daily responsibilities will include training and evaluating ML models, working with data teams on custom data collection efforts, and prototyping the end-to-end use case on device. You will also collaborate regularly with a broader group of engineers, image scientists, and photographers to build towards a new and dynamic vision of a smarter and more inclusive camera.

We are looking for a Senior Software Engineer to join our SubSLAM team!

Location: Bristol, UK
Contract: Permanent, full-time
Salary: up to £50,000 - £70,000 depending on Skills and Experience
Closing Date 15th July 2022

About us
We are Vaarst, a technology company building cutting edge products to solve real-world problems, using techniques in artificial intelligence, autonomy, and computer vision. We believe in putting innovation to work and creating a difference in the world with boundary-pushing underwater technology for our clients in offshore wind and the subsea industry. Take a look at one of our products in action https://bit.ly/SubSLAMX2!

We are looking for a highly motivated Senior C++ Software Engineer with development experience of SLAM to join our team in Bristol as a Software Engineer.

Job Description
The Role

This role will be working to develop exciting new capabilities for our SubSLAM X2 Camera system (see it in action https://bit.ly/SubSLAMX2), working primarily in C++ and Python, employing high quality software engineering principles and practices, and exploiting computer vision techniques such as SLAM. This role will be based within our Production Engineering Team, maturing active research into production ready code.

Within the team, you will contribute towards the design, development, and implementation of our products. You will be actively engaged in building quality solutions through peer reviews, continuous improvement and using our continuous integration pipelines. This role will give you the opportunity to get involved in field trials to test and evaluate new functionality and support deployment of software updates to customers.

Responsibilities

We work in an exciting and dynamic environment where every day is likely to be a little different but here are some of the main responsibilities you will have in the role:

• Improvements to SLAM including accuracy, tracking, calibration, and other key areas
• Breaking down requirements, building & testing appropriate solutions
• Contributing towards the complete software development process from conception to deployment
• Enhancing the end-to-end life cycle of software development
• Building knowledge in the company; share yours and absorb others’
• Mentor and train more junior members of the team
• Work closely with researchers to design, evaluate, develop, and maintain high quality software to enable cutting edge research in 3D computer vision

About you & what you will bring

We’re looking for an experienced and talented software engineer who has what it takes to make a real impact in this role. If you have these skills and experiences this could be you:

• Developing in C++ and Python
• Experience of working with ROS (Robot Operating System) or similar pub-sub framework
• Git & GitHub
• Experience in SLAM development
• Knowledge of Computer Vision Techniques such as SLAM, Visual Odometry, Structure from Motion, Calibration algorithms.
• Linux
• Demonstrable & significant experience in industry, or relevant qualification
• Experience of leading a project, feature, or work package
• Excellent communication skills, with both technical peers and business partners
• A great team player, actively to contributing to discussions and decisions
• Motivated to solve problems and make improvements that translate to value in products

If this sounds right up your street, then we want to hear from you!

We are looking for a Senior Unreal Developer to join our Production Engineering team!

Location: Bristol, UK
Contract: Permanent, full-time
Salary: up to £55k - £65k depending on Skills and Experience
Closing Date 11th July 2022

About us
We are Vaarst, a technology company building cutting edge products to solve real-world problems, using techniques in artificial intelligence, autonomy, and computer vision. We believe in putting innovation to work and creating a difference in the world with boundary-pushing underwater technology for our clients in offshore wind and the subsea industry. Take a look at one of our products in action https://bit.ly/SubSLAMX2!

We are looking for a highly motivated Senior Unreal Developer to join our team in Bristol. 

Job Description
The Role

This role will be working to develop our Digital Twin, Robotics Simulation, and Mission Planning and Execution capabilities to their full potential. These combine large volumes of high fidelity, real-world subsea 3D data with real-time information to create an immersive end user experience, targeting both Windows and VR devices.

Within your team, you will be responsible for design, development, and implementation of the Unreal Engine components of these capabilities. You will be actively engaged in building quality solutions through peer reviews, continuous improvement and using our continuous integration pipelines. 

Responsibilities

We work in an exciting and dynamic environment where every day is likely to be a little different but here are some of the main responsibilities you will have in the role:

• Leading Vaarst’s Unreal development capabilities in UIs, Simulators and other 3D environments
• Breaking down requirements, building & testing appropriate solutions
• Contributing towards the complete software development process from conception to deployment
• Enhancing the end-to-end life cycle of software development
• Building knowledge in the company; share yours and absorb others’
• Mentor and train more junior members of the team
• Work closely with researchers to design, evaluate, develop, and maintain high quality software to enable cutting edge research in 3D computer vision

About you & what you will bring

We’re looking for an experienced and talented software engineer who has what it takes to make a real impact in this role. If you have these skills and experiences this could be you: 

• Developing in Unreal Engine using both Blueprints and C++
• Developing and testing complex solutions in C++
• Adept with both Windows and Linux operating systems (Unreal Development on Windows, interfacing with external systems on Linux)
• Strong software engineering background with great knowledge of best practices and principles
• Writing and maintaining production-level code
• Demonstrable & significant experience in industry, or relevant qualification
• Experience of leading a project, feature, or work package
• Excellent communication skills, with both technical peers and business partners
• A great team player, actively to contributing to discussions and decisions
• Motivated to solve problems and make improvements that translate to value in products

If this sounds right up your street, then we want to hear from you!

About the position:
The research group Smart Instrumentation and Industrial Testing at the NORCE Energy & Technology division is looking for a scientist/senior scientist in a permanent 100% position with the main role of initiating and scientifically coordinating EU research proposals for the research group. The group has strong technological professional expertise in data science, computer vision, machine learning, pattern recognition, cybernetics, computer engineering, visual sensing, visualization, advanced maintenance, mechatronics, smart instrumentation and signal processing.

The preferred place of work is Jon Lilletunsvei 9 H, Grimstad, but employment at other NORCE locations can be possible. Travelling is expected.

Work tasks:
The main tasks of the position will be to drive new EU research possibilities, initiate and coordinate scientific proposal writing and applications, carry out the scientific coordination and management of EU projects.

Additional tasks include: carrying out technological research and development projects in collaboration with industrial partners in Agder county and external research groups, as well as collaborative projects with other departments within NORCE.

Required qualifications, skills, expertise and experience:
• Scientific background: minimum Master’s degree in computer science, electronic engineering, neuroscience, computer vision, machine learning, pattern recognition or a related scientific area.
• Documented experience in EU research funding programs with a track record on initiating scientific EU project applications, writing scientific EU project proposals and coordinating EU projects.
• Proficiency in English. Knowledge of the Norwegian language is an advantage.
• Good team working skills while being proactive.
• Excellent communication and organizational skills.

We offer:
• A good and professionally challenging working environment
• Exciting interdisciplinary projects together with national and international partners
• A nationwide network of researchers in NORCE
• Exciting, varied and flexible workday
• Interdisciplinary work in teams with experts in other fields
• Great opportunities for professional and personal development in a new and expansive competence environment
• A social and creative work environment where you have a large influence on your own workday
• Good pension and insurance schemes, good welfare schemes and competitive wages

How to apply:
• Your application should be written in English and must include the following:
• CV
• A cover letter with a description of your professional qualifications and motivation to apply for the position
• Names and contact information of two references
• Copy of diplomas, transcripts and relevant certificates from your higher education

We request that your application and attachments be uploaded to the Jobbnorge portal.

Application deadline: 21 July 2022

About the position:
The research group Smart Instrumentation and Industrial Testing at the NORCE Technology department is looking for a scientist in a permanent 100% position with the main role of research and innovation in computer vision and machine learning as well as contributing to new research proposals for the research group. The group has strong technological professional expertise in data science, computer vision, machine learning, pattern recognition, cybernetics, computer engineering, visual sensing, visualization, advanced maintenance, mechatronics, smart instrumentation and signal processing.

The preferred place of work is Jon Lilletunsvei 9 H, Grimstad, but employment at other NORCE locations can be possible. Travelling is expected.

Work tasks:
The main tasks of the position will be to work with an international team on bio-inspired computer vision for a new concept of visual perception and learning. Our computer vision activities include diverse types of sensors ranging from color cameras, lidar, spectral cameras, thermal cameras and radar imaging.

Additional tasks include: carrying out technological research and development projects in collaboration with industrial partners in Agder county and external research groups, as well as collaborative projects with other departments within NORCE.

Required skills, expertise and experience:
• Scientific background: minimum Master’s degree in computer science, electronic engineering, neuroscience, computer vision, machine learning, pattern recognition or a related scientific area.
• Documented experience in research activities with computer vision and machine learning.
• Proficiency in English. Knowledge of the Norwegian language is an advantage.
• Good team working skills while being proactive.
• Excellent communication and organizational skills.

We offer:
• A good and professionally challenging working environment
• Exciting interdisciplinary projects together with national and international partners
• A nationwide network of researchers in NORCE
• Exciting, varied and flexible workday
• Interdisciplinary work in teams with experts in other fields
• Great opportunities for professional and personal development in a new and expansive competence environment
• A social and creative work environment where you have a large influence on your own workday
• Good pension and insurance schemes, good welfare schemes and competitive wages

How to apply:
• Your application should be written in English and must include the following:
• CV
• A cover letter with a description of your professional qualifications and motivation to apply for the position
• Names and contact information of two references
• Copy of diplomas, transcripts and relevant certificates from your higher education
• We request that your application and attachments be uploaded to the Jobbnorge portal.

The Learning and Optimisation for Visual Computing Group at the University of Bonn has an opening for a fully-funded PhD position in the area of "Deep Multi-Modal Image Synthesis for COVID-19 Imaging and Beyond". Candidates should have a solid theoretical understanding of machine learning techniques and hands-on experience in training deep neural networks. Previous experience with medical image data is not essential but a plus.