Assistant Professor in Medical Machine Vision and Learning

University of Amsterdam Informatics Institute


Assistant Professor in Medical Machine Vision and Learning

Publication date 1 July 2021

Closing date 15 August 2021

Level of education Master's degree

Hours 38 hours per week

Salary indication €3,746 to €5,826 gross per month

Vacancy number 21-546

The University of Amsterdam (UvA) is hiring an assistant professor in Medical Machine Vision and Learning for Medical for the POP-AART Lab (Partnership on Online and Personalized AI-enabled Adaptive Radiotherapy), a research collaboration with the Netherlands Cancer Institute (NKI), and Elekta. You are expected to work on fundamental and practical aspects of computer vision, medical imaging and machine learning with a strong emphasis on medical data including CT and MRI imaging.

You will be appointed as the manager of the POP-AART Lab and will be responsible for executing the daily activities in the lab and co-supervising the lab’s PhD students, most of whom are expected to start after September 2021. The PhD projects cover: Deep Generative Learning for Cone Beam Computed Tomography, Learning Inverse Models for Cone Beam Computed Tomography Reconstruction, Deep Learning Geometry for 3D Medical Image Registration, Interactive Deep Learning for Medical Segmentation, Learning to Forecast for Adaptive Radiation Therapy, Reinforcement Learning for Radiation Treatment Plan optimization.

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?

You are going to carry out AI research in association with the projects mentioned above, as part of the POP-AART lab at the UvA and the NKI. 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 NKI and Elekta.

Your tasks will be to:

  • Develop new computer vision and machine learning methods within the context of the lab’s research projects and develop your own independent research line;
  • Acquire independent funding from sources such as the national funding agency NWO (e.g. VIDI), EU funding via H2020 (e.g. ERC starting grant) and industry;
  • Function as the 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;
  • Contribute to the organization of the POP-AART lab, the institute and the faculty, when requested.

What do we require of you?

  • A PhD in a relevant discipline (AI, Computer Science, Medical Imaging, Electrical Engineering, Applied Mathematics) 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) and demonstrated academic leadership;
  • You excel in teaching and have a clear vision on education, as well as the ability to supervise MSc and PhD candidates;
  • 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.

Our offer

We offer a temporary employment contract for 38 hours per week with a tenure track agreement for the duration of five years.  You will be offered a permanent position after positive assessment and evaluation.

The full-time gross monthly salary of the assistant professor position (UD 2/UD 1) will range from €3,746 to €5,826 gross per month, based on a fulltime contract (38 hours a week). This is exclusive 8% holiday allowance and 8.3% end-of-year bonus. A favourable tax agreement, the ‘30% ruling’, may apply to non-Dutch applicants. The Collective Labour Agreement of Dutch Universities is applicable.

Are you curious about our extensive package of secondary employment benefits like our excellent opportunities for study and development? Take a look here.

About us

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. Amsterdam is a livable city with many cultural amenities.

The Netherlands Cancer Institute (NKI) 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 the 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. J.J. Sonke.


Do you have questions about this vacancy? Or do you want to know more about our organisation? Please contact:

  • Dr. Efstratios Gavves
  • T. + 31 (0)20 525 8701
  • Prof. dr. ir. Jan-Jakob Sonke
  • T. +31 (0)20 512 1731

Job 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 15 August 2021. You can apply online by using the link below. 

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);
  • A list of three references from different institutes (no letters needed yet).

Please mention the months (not just years) in your CV when referring to your education and work experience.

We will invite potential candidates for interviews soon after the expiration of the vacancy.

In your application, please refer to


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