Bosch, a multinational engineering and electronics company, and the University of Amsterdam, a world-leading computer science department, have started a joint research lab in Amsterdam, the Netherlands, to join the best of academic and industrial research. The lab focuses on fundamental research in deep learning with applications to intelligent vehicles. It hosts 10 PhD and Postdoc research positions and is led by Prof. Max Welling (machine learning), Prof. Arnold Smeulders (computer vision) and Dr Zenep Akata (deep learning). One of the perks of the program is an exchange program where each lab member will stay for one month per year at Bosch Research in Germany.

The Informatics Institute is looking for one PhD candidate and one postdoctoral researcher to perform cutting edge research in AMLAB in the field of machine learning.

One of the research topics is 'Methods for Robust Feature Learning' where the goals are to learn features that are robust or invariant to changing conditions, to learn classifiers that perform well on multiple domains, to learn representations that can be transferred between domains and to learn classifiers that do not suffer from adversarial examples.

Keywords: Bayesian Regularization, Model Uncertainty, Domain Transfer, Representation Learning

The second research topic is 'Combining Generative Probabilistic Models with Deep Learning' where the goals are to combine generative models with discriminative deep learning models, to inject expert knowledge into the modeling process, to improve the performance of deep learning using simulator models, to improve deep learning in the small data regime.
Keywords: Variational Autoencoders, Generative Adversarial Networks, Representation Learning

PhD position

• Master's degree in Artificial Intelligence, Computer Science, Physics or related field;
• excellent programming skills (e.g. C++, Python; Tensorflow, Pytorch or equivalent);
• solid mathematics foundations, especially statistics, calculus and linear algebra;
• highly motivated;
• fluent in English, both written and spoken.

Proven experience with machine learning / computer vision is a big plus.

Postdoc position

• PhD degree in machine learning, computer vision or related field;
• excellent publication record in top-tier international conferences and/or journals;
• strong programming skills (e.g. C++, Python; Tensorflow, Pytorch or equivalent);
• motivated and capable to coordinate and supervise research.

Starting date: 1 June 2019

PhD position

The appointment will be on a temporary basis for a period of 18 months and after satisfactory evaluation it can be extended for a total duration of 4 years. The appointment should lead to a dissertation (PhD thesis). An educational plan will be drafted that includes attendance of courses and (international) meetings. The PhD candidate is also expected to assist in teaching of bachelor and master students.

The gross monthly salary will range from €2,325 (first year) up to a maximum of €2,972 (last year).

Postdoc position

The temporary appointment of a postdoctoral research fellow will be for two years (initial employment is 12 months and after a positive evaluation, the appointment will be extended further with 12 months). The gross monthly salary will range from €2,709 up to a maximum of €4,978 (scale 10/11) depending on qualifications, expertise and on the number of years of professional experience.

At any appointment level, the salary is based on a full-time appointment (38 hours a week). The total salary includes an additional 8% holiday allowance and 8,3% end-of-year bonus, under the Collective Labour Agreement of Dutch Universities (Cao). A favourable tax agreement, the ‘30% ruling’, may apply to non-Dutch applicants.

Among other things, we offer:

• competitive pay and good benefits;
• top-50 University worldwide;
• one of the best Deep Learning Ecosystems in the World
• interactive, open-minded and a very international city;
• excellent computing facilities.

English is the working language in the Informatics Institute. As in Amsterdam almost everybody speaks and understands English, candidates need not be afraid of the language barrier.

University of Amsterdam

With over 5,000 employees, 30,000 students and a budget of more than 600 million euros, the University of Amsterdam (UvA) is an intellectual hub within the Netherlands. Teaching and research at the UvA are conducted within seven faculties: Humanities, Social and Behavioural Sciences, Economics and Business, Law, Science, Medicine and Dentistry. Housed on four city campuses in or near the heart of Amsterdam, where disciplines come together and interact, the faculties have close links with thousands of researchers and hundreds of institutions at home and abroad.  

The UvA’s students and employees are independent thinkers, competent rebels who dare to question dogmas and aren’t satisfied with easy answers and standard solutions. To work at the UvA is to work in an independent, creative, innovative and international climate characterised by an open atmosphere and a genuine engagement with the city of Amsterdam and society.

http://www.uva.nl/en/home

Institute for Informatics (IvI)

The Faculty of Science holds a leading position internationally in its fields of research and participates in a large number of cooperative programs with universities, research institutes and businesses. The faculty has a student body of around 6,500 and 1,500 members of staff, spread over eight research institutes and a number of faculty-wide support services. A considerable part of the research is made possible by external funding from Dutch and international organizations and the private sector. The Faculty of Science offers thirteen Bachelor's degree programs and eighteen Master’s degree programs in the fields of the exact sciences, computer science and information studies, and life and earth sciences.

The Informatics Institute is one of the large research institutes of the Faculty of Science with a focus on complex information systems divided in two broad themes: 'Computational Systems' and 'Intelligent Systems.' The institute has a prominent international standing and is active in a dynamic scientific area, with a strong innovative character and an extensive portfolio of externally funded projects.

World-class research groups directly involved in deep learning are AMLAB (machine learning led by Prof. Max Welling), ISIS (computer vision led by Prof. Cees Snoek), and ILPS (information retrieval led by Prof. Maarten de Rijke). Examples of industry funded research labs involved in deep learning are Qualcomm-UVA (QUVA) Lab (12 PhDs/Postdocs), Bosch-UvA DELTA Lab (10 PhDs/Postdocs), Philips Lab (4 PhD/Postdocs) and SAP-UvA Lab (3 PhDs/Postdocs). We also have ongoing collaborations with Microsoft Research (2PhDs).

http://ivi.uva.nl/?1549882754981