Assistant Professor of Computer Vision

University of Amsterdam Informatics Institute

Assistant Professor in Computer Vision

Publication date 24 March 2020

Closing date 1 May 2020

Level of education PhD

Hours 38 hours per week

Salary indication €3,636 to €5,656 gross per month

Vacancy number 20-207

The University of Amsterdam (UvA) and TomTom are opening a new research lab called 'ATLAS Lab' consisting of one Tenure Track Assistant professor and five PhD students. The focus of the new lab will be on developing advanced, highly accurate and safe maps for automated vehicles (HD maps), using Artificial Intelligence. These HD maps include detailed geometric and semantic representations of elements in a road network, such as lane dividers, traffic signs, traffic lights, junctions, etc. The ATLAS Lab is a research collaboration between UvA and TomTom, Amsterdam, and is part of ICAI, the national Innovation Centre for AI, based in the Amsterdam Science Park.

For our new lab, we are seeking a Tenure Track Assistant professor in the field of computer vision and deep learning. Topics include representation and transfer learning for object detection and segmentation within a diverse set of learning paradigms (e.g. weakly/semi/self supervised), and quantifying uncertainty. Sensor data is assumed to be multi-modal and includes camera, LiDAR, and positional sensors. This tenure track position aims for visionary developments and exploration in the context of automatic interpretation and scene understanding for HD map creation.

What are you going to do?

You will be employed as the manager of the Atlas Lab and will be responsible for daily activities in close cooperation with the directors prof. Gevers and prof. Snoek and the PhD students on the following projects:

  1. Cross-sensor transfer learning,
  2. Few-shot tiny object detection,
  3. Structured segmentation,
  4. Sparse data representation for point clouds segmentation, and
  5. Point cloud based 3D object detection.

You are going to carry out AI research in association with the five projects mentioned above, as part of the Atlas lab at the University of Amsterdam. There will be regular visits to and interactions with the researchers at TomTom.

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 computer vision which means that you must be able to teach a wide variety of AI and CV courses in both BSc and MSc

Your tasks will be to:

  • develop new deep learning methods within the context of the five research projects;
  • function as the Lab manager, responsible for daily activities in close cooperation with the directors;
  • collaborate with the PhD students within the Atlas Lab and researchers of TomTom;
  • regularly present intermediate research results at international conferences and workshops and publish them in proceedings and journals;
  • co-organize relevant workshops at conferences;
  • assist in relevant teaching activities.

What do we require?

  • A PhD in a relevant discipline (Computer Science, AI, Physics, 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 or deep learning, including internationally peer reviewed journals and/or books published by internationally recognized press;
  • management skills required for general academic administration, organisation 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;
  • 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 contract for 38 hours per week, preferably starting on 1 June 2020.

The type of contract is negotiable and depends on experience and scientific profile of the selected candidate. A tenure track is an option, as is a faculty position after positive evaluations. The committee will make an offer pending your preferences and your experience and track record.

The full-time gross monthly salary of the assistant professor position (UD 2/UD 1) will range from €3,637 to €5,656 (salary scale 11-12), depending on qualifications and on the number of years of professional experience. The annual salary will be increased by an 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? Then find out more about working at the Faculty of Science.

About the Faculty of Science

The Faculty of Science 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.

The Atlas Lab is embedded in the Intelligent Sensory Information Systems and Computer Vision Groups, two groups within the Informatics Institute working on visual recognition and retrieval. Each project will be done in collaboration with experts from TomTom. The lab will be part of the Innovation Center for Artificial Intelligence, a Netherlands initiative focused on joint technology development between academia, industry and government in the area of artificial intelligence.


  • Prof. Cees Snoek
    T: +31 (0)20 525 7528
  • Prof. Theo Gevers
    T: +31 (0)20 525 7516  

Job application

The UvA is an equal-opportunity employer. We prioritise 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 CV and cover letter by 1 May 2020. You may apply online by using the link below. 

Applications should include:

  • a concise statement of motivation (1 page maximum);
  • a CV and list of publications;
  • a statement outlining research plans (2 pages maximum);
  • a statement outlining teaching philosophy (1 page maximum);
  • a list of three referees.