Assistant professor in Computer Vision Machine Learning, Unversity of Amsterdam

The University of Amsterdam (UvA) is hiring an assistant professor in Computer Vision by Machine Learning for their QUVA Lab, a research collaboration with Qualcomm AI research.

As part of the QUVA lab at the UvA, you will conduct AI research in conjunction with the projects described above. The contract is negotiable and depends on the experience and scientific profile of the selected candidate. The committee will make an offer pending the vacancy and the candidate’s experience and track record.


In this job position, candidates will perform the foowing task:

  • Develop new computer vision by machine learning methods within the context of the lab’s research projects and develop your own independent research line;
  • organize and execute relevant teaching activities acquire;
  • independent funding from sources such as the national funding agency NWO
  • function as the lab manager responsible for daily activities in close cooperation with the directors;
  • collaborate with the PhD students within the QUVA Lab and researchers of Qualcomm AI Research. This includes helping Qualcomm write 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.


The full-time gross monthly salary of the assistant professor position (UD 2/UD 1) will range from €3,746 to €5,826 (salary scale 11-12),

A holiday allowance and end-of-year bonus including other benefits.

Job Requirements

To be eligible for the position of assistant professor in computer vision machine learning at the University of Amsterdam, these requirements must be met.
  • Applicants must own a Ph.D. degree in any related field (AI, Computer Science, Electrical Engineering, Applied Mathematics);
  • A track record of high-quality, diverse academic teaching, ideally at the undergraduate, master’s, and doctoral levels;
  • Strong track record of publication in fields related to computer vision, deep learning, and machine learning, including top-tier international conferences (CVPR, ICCV, ICLR, NeurIPS, and so on) and/or journals published by globally recognized presses;
  • The opportunity to secure funding for research in a competitive environment;
  • Applicants are to exhibit excellent teaching skills and a strong educational vision is required, as well as the ability to supervise MSc and Ph.D. students.
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Application Process

Interested applicants are to send their application that includes:

  • Aone page letter of motivation
  • a curriculum vitae, including list of publications and taught courses;
  • a research statement
  • a teaching statement
  • list of three references from different institutes (no letters needed yet).

To apply, click here

Deadline: may 21, 2021.

For more information and application, visit the official site.

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