PhD position/Postdoc researcher in Machine & Deep Learning-Robust Feature
Faculty of Science – Institute for Informatics
- 4 december 2018
- Master's degree
- €2,266 to €4,852 gross per month
- 31 december 2018
- 38 hours per week
The Faculty of Science of the University of Amsterdam occupies a leading position internationally in its fields of research and participates in a large number of cooperative programmes with universities, research institutes and businesses around the globe. The Faculty has a student body of around 7,000 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 organisations and the private sector. The Faculty of Science offers 11 Bachelor's degree programs and 18 Master’s degree programs in the fields of the exact sciences, computer science and information studies, and life and earth sciences.
Within the Faculty, the information sciences are organized in two research institutes, the Informatics Institute and the Institute for Logic, Language and Computation. The Informatics Institute (IvI) encompasses around 270 members, organized in eight research groups that cooperate intensively, both formally and informally.
World-class research groups directly involved in deep learning are AMLAB (machine learning led by Prof. M. Welling), ISIS (computer vision led by Prof. C. Snoek), and ILPS (information retrieval led by Prof. M. 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 (2 PhD).
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 Zeynep 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 PhD candidate or Postdoctoral researcher will perform cutting edge research in AMLAB in the field of machine learning. The research topic 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.
- 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 foundation, 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.
- PhD degree in machine learning, computer vision or related field;
excellent publication record in top-tier international conferences and/or journals; s
strong programming skills (e.g. C++, Python; Tensorflow, Pytorch or equivalent);
motivated and capable to coordinate and supervise research.
Informal inquiries on the positions may be sent by email to:
Starting date: February 2019
The appointment of a PhD candidate 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 student is also expected to assist in teaching of bachelor and master students.
The gross monthly salary will range from €2,266 (first year) up to a maximum of €2,897 (last year).
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 €2.640 up to a maximum of €4.852 (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).
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.
The UvA is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We value a spirit of enquiry and endurance, provide the space to keep asking questions and cherish a diverse atmosphere of curiosity and creativity.
You may send in your application no later than 31 December 2018 using the link below. Please upload the following information in a single PDF file:
- a motivation letter explaining why you are the right candidate;
- a curriculum vitae, (max 3 pages), a copy of your Master’s/PhD thesis;
- a complete record of Bachelor's and Master's courses (including grades);
- a list of projects you have worked on (with brief descriptions of your contributions, max 2 pages);
- names and contact addresses of at least two academic references.
No agencies please