3 PhD Positions, University of Amsterdam, Netherlands (2017)

The Informatics Institute of the Faculty of Science is looking for 3 PhD candidates deep learning of activities in video.

The primary goal of the three PhD projects is to perform cutting edge research in computer vision and deep learning to automatically detect activities in a multi-camera streaming video environment. Activities will be enriched by person and object detection to arrive at precise descriptions. Relevant research questions are: How can we automatically detect activities, as well as persons and objects, in cluttered scenes? What are the underlying mechanisms for spatiotemporal reasoning in video that improve activity detection? How can we enable activity detection and scene understanding from overlapping and non-overlapping camera viewpoints? The work is executed as part of the IARPA DIVA research program, together with SRI International, the University of Michigan and the University of Washington. The positions are based at the University of Amsterdam and we expect that candidates are willing to attend yearly project meetings in the USA.

Requirements
- Master degree in Artificial Intelligence, Computer Science, or related field;
- excellent programming skills (the project is in Python and C/C++);
- solid mathematics foundations, especially statistics and linear algebra;
- highly motivated;
- fluent in English, both written and spoken.

Conditions of employment

Preferred starting date is September 2017.

The appointment for the PhD candidates will be on a temporary basis for a period of 4 years (initial appointment will be for a period of 18 months and after satisfactory evaluation it can be extended for a total duration of 4 years) and 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.

Further details:
http://www.academictransfer.com