Assistant professor Video Understanding University of Amsterdam, Faculty of Science – Informatics Institute Netherlands

Assistant professor Video Understanding

Faculty of Science – Informatics Institute

 

Publication date
17 October 2018


Level of education
PhD


Salary indication
€3,545 to €5,513 gross per month


Closing date
14 December 2018


Hours
38 hours per week


Vacancy number
18-627

 

The tenure track position at the assistant professor level will be within the Intelligent Sensory Information Systems Lab at the Institute for Informatics, Faculty of Sciences, University of Amsterdam (UvA).  The lab is led by Prof. Cees Snoek and also includes Prof. Arnold Smeulders, Prof. Marcel Worring, Prof. Zeno Geradts, and Dr. Efstratios Gavves as well as around 25 PhD candidates and postdoctoral researchers. The Intelligent Sensory Information Systems Lab also co-directs the UvA-Bosch DELTA Lab with 10 PhD candidates and postdoctoral researchers, as well as the Qualcomm-UvA deep learning & computer vision lab (QUVA) with 12 PhD candidates and postdoctoral researchers. Prof. Snoek is also a co-founder of the national Innovation Center on Artificial Intelligence.

 

Job description

 

By 2022 there will be 45 billion cameras in the world, many of them tiny, connected and live streaming 24/7. Self-driving cars, drones and service robots are just three manifestations. The cameras may even capture video data beyond the visual spectrum. The embedded systems in which these cameras are integrated, come processors powerful enough to run video understanding algorithms founded on computer vision and deep learning. This is an invitation to move away from traditional video understanding domains, like broadcast news, television archives and social media. And, instead, emphasize hitherto non-mainstream video domains like surveillance, healthcare and robotics where viewpoints are new, labeled examples are scarce and real-time spatiotemporal understanding is crucial. All these developments open up exciting research avenues for video understanding.

 

The new tenure tracker is expected to contribute to fundamental research in video understanding. We anticipate that the field of video understanding combined with embedded cameras will drive the next wave of innovation in this field. The tenure tracker is expected to have a keen interest and expertise in one or more core video understanding areas.

 

The tenure tracker is expected to acquire his/her own independent funding from sources such as the national funding agency NWO (e.g. VIDI), EU funding via H2020 (e.g. ERC starting grant) and industry.

 

In terms of teaching, the tenure tracker will contribute to strengthening the curriculum of the Bachelor and Master AI and related programs such as Computer Science.  The teaching load is around 30%.

 

The tenure tracker is 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, the tenure tracker is expected to help with the management of the Informatics Institute. 

 

Requirements

The candidate’s research interests should fall within the scope of video understanding and include intelligent systems, computer vision and/or (multimodal) deep learning. Candidates must hold a doctorate in Computer Science, Electrical Engineering or a related area. A strong track record in research is essential, as demonstrated by independent scientific publications in peer reviewed journals and top-conferences, as well as research interest and expertise in the areas of the vacancy. Candidates should be able to obtain research funding in a competitive environment. In addition, candidates must have a proven track record of teaching abilities as well as the ability to supervise MSc and PhD candidates. At least two years of postdoctoral experience is expected but not strictly necessary. International research experience is also preferred.

 

Further information

Further information about this vacancy may be obtained from:

  • Prof. Cees Snoek

    T: +31 (0)20 525 7528

 

Appointment

The vacancy is for a permanent position according to standard university policies. It is a temporary appointment with a tenure track agreement which will lead to tenured position for a period of 5 years during which the candidate should show his/her competence in science and teaching/education. In the fifth year of the appointment, the tenure decision will be taken. This implies that experienced scientists will be offered a permanent position after a positive assessment and evaluation. The type of appointment is negotiable and depends on age, experience and scientific profile of the selected candidate. The Committee will make an offer pending the vacancy and the experience and track record of the candidate.

 

The gross monthly salary of the assistant professor position (UD 2/UD 1) will be in accordance with the University regulations for academic personnel and will range from €3,545 up to a maximum of €5,513 (salary scale 11/12), based on a full-time appointment and depending on qualifications and on the number of years of professional experience. The Collective Labour Agreement for Dutch Universities is applicable.

 

There are also secondary benefits, such as 8% holiday allowance per year and the end of year allowance of 8.3%.

 

Job application

 

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 only submit your application online using the link below. 

 

To process your application immediately, please quote vacancy number 18-627 and mention ‘Tenure Track Video Understanding' in the subject-line. The Committee does not guarantee that late or incomplete applications will be considered.

 

Applications should include:

  1. a letter of motivation (1 page maximum);

  2. a curriculum vitae, including list of publications and taught courses;

  3. a research statement (2 pages maximum);

  4. a teaching statement (1 page maximum);

  5. a list of three references from different institutes.

 

All these should be grouped into a single PDF attachment.

 

At this stage of the procedure, please do not send letters of reference or proofs of your academic writing.

 

Applications will be accepted until 14 December 2018. #LI-DNP


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