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  3. 2 PhD candidates deep learning of activities in video

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2 PhD candidates deep learning of activities in video

The Informatics Institute of the Faculty of Science has a vacancy for 2 PhD candidates deep learning of activities in video. The primary goal of the two PhD …

9 maanden geleden

Arbeidsvoorwaarden

Standplaats:
Spui, Amsterdam, Noord-Holland
Dienstverband:
Tijdelijk contract / Tijdelijke opdracht
Uren per week:
38 uur
Salarisindicatie:
€ 2222 - € 2840 per maand
Opleidingsniveau:
WO

Functieomschrijving

The Informatics Institute of the Faculty of Science has a vacancy for 2 PhD candidates deep learning of activities in video.

The primary goal of the two 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 and track 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 (first-person) 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.

Functie-eisen

  • 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

Preferred starting date is May 2018.

The appointment will be full-time (38 hours a week) for a period of four years (initial employment is 18 months). Periodic evaluations will be held after 9 and 14 months, and upon positive evaluation, the appointment will be extended to a total of 48 months. The appointment must lead to a dissertation (PhD thesis). An educational plan that includes attendance of courses, summer and/or winter schools, and national and international meetings will be drafted for the PhD candidate. The PhD candidate is also expected to assist in teaching of undergraduate students.

The salary is in accordance with the university regulations for academic personnel. The salary will range from €2,222 (first year) up to a maximum of €2,840 (last year) before tax per month (scale P) based on a full-time appointment. There are also secondary benefits, such as 8% holiday allowance per year and the end of year allowance of 8.3%. The Collective Labour Agreement for Dutch Universities is applicable.

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.

Additional information

Informal inquiries on the positions may be sent to:

Applications may only be submitted by sending your application to:

To process your application immediately, please quote vacancy number 18-020. Applications must include a motivation letter explaining why you are the right candidate, curriculum vitae, (max 3 pages), a copy of your Master’s thesis, a complete record of Bachelor and Master courses (including grades), a list of projects you have worked on (with brief descriptions of your contributions, max 2 pages) and the names and contact addresses of at least two academic references.

All these should be grouped in one PDF attachment.

The Committee does not guarantee that late or incomplete applications will be considered. Applications not mentioning vacancy number and the title of the position you are applying for in the subject-line will not be processed.

Applications will be accepted until 30 March 2018.

Bedrijfsomschrijving

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.

Informatics Institute

The Informatics Institute of the Faculty of Science is one of the large research institutes with the faculty, 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 ISIS (video intelligence led by Prof. C. Snoek), AMLAB (machine learning led by Prof. M. Welling), 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) and Bosch-UvA DELTA Lab (11 PhDs/Postdocs).