Assistant Professor of Machine Learning

University of Amsterdam


Assistant professor in machine learning at the Amsterdam Machine Learning Lab

Publication date 29 October 2019

Closing date 26 November 2019

Level of education PhD

Hours 38 hours per week

Salary indication €3,637 to €5,656 gross per month

Vacancy number 19-720


AMLAB is seeking a junior faculty in the general field of machine learning methods. The position is broadly defined; we consider any candidate who regularly published in some of the top venues in machine learning, such as Neurips, ICML, ICLR, UAI, AISTATS, JMLR, or TPAMI. Topics of interest are supervised, unsupervised and semi-supervised learning, representation learning, domain adaptation, active learning, reinforcement learning, Bayesian methods, compression and quantization, Bayesian optimization, hybrid generative-discriminative methods, uncertainty quantification etc. We are open to more ‘exotic topics’ such as quantum ML or other physics inspired ML topics as well. We are interested in a candidate with a practical aptitude to build new methods and models and test them or real-world data. We also hope that the candidate has a strong preference to collaborate with other researchers in the natural sciences, medical sciences, social sciences and industry.


What are you going to do?

In this tenure track position you are expected to set up a research group and co-manage and scientifically co-direct the machine learning and deep learning labs in AMLAB. In addition, the you are expected to acquire your own independent funding from sources such as NWO/STW (e.g. VIDI), H2020 (e.g. ERC starting grant) and industry.


In terms of teaching, you are expected to contribute to strengthening the curriculum in machine learning and deep learning of the Bachelor and Master AI and related programs such as the bachelor and master Information Systems, which all offer ML courses. The total teaching load will be around 30%.


You should have a broad interest in machine learning which means that you must be able to teach a wide variety of AI and ML courses in both BSc and MSc.


You are expected to contribute to valorization, both in terms of engaging with the media as well as applying the state-of-the-art research tools to applications in society. UvA spinoffs that bring technology to industry and society are highly encouraged.


Finally, you are expected to help with the management of the Informatics Institute.


What do we require?

  • Your research interests should fall within the general area of machine learning;

  • a doctorate in Computer Science or a related area;

  • a strong track record in research is important, as demonstrated by independent scientific publications in peer reviewed journals, as well as research interest and expertise in the area of machine learning;

  • the ability to obtain research funding in a competitive environment and experience in the process of proposal writing;

  • a proven track record of teaching and didactic abilities as well as the ability to supervise BSc, MSc and PhD students;

  • management skills required for general academic administration, organisation and coordination tasks;

  • excellent communication skills;

  • an excellent command of English and willingness to learn the Dutch language;

  • at least two years of postdoc experience is expected but not strictly necessary.

International research experience is preferred.


Our offer

We offer you a tenure-track agreement for five years (which is part of a six-year temporary appointment). At the start, we will draw up an agreement with you, specifying the tenure-track requirements for research, teaching and management tasks that need to be fulfilled in order to assess progress after three years and after five years. The requirements in this agreement are negotiable and depend on your experience and scientific profile. Following a positive assessment after five years the appointment will become permanent.


The starting salary will be in accordance with university regulations for academic personnel, and depending on experience and qualifications. It will range from a minimum of €3,637 (scale 10) to a maximum of €5,656 (scale 12) gross per month, based on fulltime (38 hours a week), exclusive 8 % holiday allowance and 8.3 % end-of-year bonus. A favorable 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? Then find out more about working at the Faculty of Science.



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

  • prof. Max Welling

    T: +31 (0)20 525 8256 


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 Amsterdam Machine Learning Lab (AMLAB) is led by Prof. Max Welling and also includes Dr Joris Mooij, Dr Herke van Hoof, Dr,  Patrick Forré and Dr Erik Bekkers as well as around 30 PhDs and postdocs. Other groups doing related deep learning research within the Informatics Institute are the Intelligent Sensory Information Systems (ISIS) group (led by Prof. Cees Snoek), the Computer Vision (CV) group led by Prof. Theo Gevers, and the Information and Language Systems (ILPS) group (led by Prof. Maarten de Rijke). Affiliated labs are the Qualcomm-UVA deep learning  & computer vision lab (QUVA) with 12 PhD students and postdocs and the Bosch-UvA DELTA Lab with 10 PhD students and postdocs. 


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.

You may send in your application no later than 26 November 2019 using the button below. Please upload the following information in a single PDF file:

  • a letter of motivation (1 page maximum);

  • a curriculum vitae, including list of publications and teaching track record;

  • a research statement (2 pages maximum);

  • a teaching statement (1 page maximum);

  • a list of three references from different institutes.


No agencies please

Apply now

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