Postdoctoral Researcher on Deep Learning for Medical Imaging (20 months)

Are you passionate about Deep Learning and Medical Imaging, specifically Adaptive Radiotherapy? Do you want to research more on generative models, neural fields, geometry, segmentation, reinforcement learning? Then this position, embedded in the POP-AART lab between the University of Amsterdam, the Netherlands Cancer Institute (NKI) and Elekta is the right fit for you.

We are looking for a postdoctoral researcher with either Computer Vision, Machine Learning, or Applied Mathematics background to join a team of 15+ researchers (1+1 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, as well as Computer Vision conferences and journals.

What are you going to do?

Deep Learning has revolutionized the field of AI with great impact on many application areas including Medical Imaging. In this position we will be studying Deep Learning specifically for Adaptive Radiotherapy. The position is embedded withing the POP-AART Lab (Partnership on Online and Personalized AI-enabled Adaptive Radiotherapy), a research collaboration between the University of Amsterdam, the Netherlands Cancer Institute, and Elekta. You are expected to work on fundamental and practical aspects of computer vision and machine learning with a strong emphasis on medical data including CT and MRI imaging.

Tasks and responsibilities:

• to show independence in achieving research goals and willingness to collaborate and to supervise PhD students working on deep learning, computer vision, and medical imaging;
• to help manage the lab, including helping with quarterly reports, discussing with Elekta, help preparing IP applications, organize meetings;
• share time between the Netherlands Cancer Institute and UvA. The primary location will be the Netherlands Cancer Institute;
• 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 (Medical Imaging, Computer Vision, Machine Learning, Deep Learning);
• 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;
• are able to implement and evaluate machine learning algorithms in Python with deep learning toolkits (PyTorch, TensorFlow, Jax);
• are able to work with 3D embodied simulators (or willing to learn)
• are able to work well in teams and communicate fluently in written and spoken English.

Our offer

We offer a temporary employment contract for 38 hours per week for a period of 20 (12 + 8) months (with a probationary period of two months). The preferred starting date is to be discussed.

The gross monthly salary, based on 38 hours per week and dependent on relevant experience, ranges between € 3,226 to € 5,090 (scale 10). UvA additionally offers an extensive package of secondary benefits, including 8% holiday allowance and a year-end bonus of 8.3%. The UFO profile Researcher 4 is applicable. 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 (UvA) is the Netherlands' largest university, offering the widest range of academic programmes. At the UvA, 42,000 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 (FNWI) 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