Postdoctoral researcher in Deep Object Tracking
Faculty of Science – Informatics Institute
- Publication date
- 24 July 2018
- Level of education
- Salary indication
- €2,640 to €4,852 gross per month
- Closing date
- 1 September 2018
- 38 hours per week
- Vacancy number
The Informatics Institute of the Faculty of Science is inviting applications for the position of postdoctoral researcher to work on the research of Deep Object Tracking. The successful candidate will be based in the QUVA Lab of the Machine Learning Lab of the University of Amsterdam (AMLab) led by Prof. Arnold W.M. Smeulders, Prof. Cees G.M. Snoek, Prof. Max Welling and Dr Efstratios Gavves. QUVA Lab hosts 12 PhD candidates and postdoctoral researchers, and is a joint collaboration between the University of Amsterdam and Qualcomm. Qualcomm is the world leader in mobile chip design and AI on mobile devices. The University of Amsterdam is a leading University consistently ranked in the top 50 worldwide, with a world-leading Computer Science research department. The goal of QUVA Lab is cutting-edge research on Computer Vision and Machine Learning, marrying the best of the academic and industrial worlds.
The Faculty of Science, which QUVA belongs to, 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 6,000 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 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.
World-class research groups directly involved in deep learning are ISIS (Computer Vision 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), Bosch-UvA DELTA Lab (10 PhDs/Postdocs), Philips Lab (4 PhDs/Postdocs) and SAP-UvA Lab (3 PhDs/Postdocs). We also have ongoing collaborations with Microsoft Research.
The research topic of the position is 'Deep Object Tracking'. The research will focus on tracking the target’s position over time given a starting box in the first frame or alternatively its typed category, especially for long-term, robust tracking. To date tracking algorithms focus on short videos. However, great challenges lie in the moment that the target must be tracked in minute long videos, where the tracker is expected to appear or disappear at any moment and appearance variations are potentially significant. Recently, Siamese trackers have shown good accuracy and robustness in long videos, as they are less harmed by drift. The goal of this project is advancing object tracking, with a special interest in long term setups.
The research will be supervised by Prof. Arnold W.M. Smeulders. Collaborations inside the lab with other professors and students are highly encouraged. The research will be conducted in close collaboration with Qualcomm Netherlands.
The postdoctoral researcher has:
- a PhD degree in either Computer Vision or Machine Learning;
- a strong track record in top tier Computer Vision and/or Machine Learning conferences or journals. Experience in tracking will be highly appreciated;
- strong understanding and experience in Deep Learning;
- strong programming skills. Preferably Python, or other similar languages;
- a high motivation to conduct as well as to supervise research.
Informal inquiries on the positions can be sent by email to:
The appointment of the postdoctoral research fellow will be full-time (38 hours a week) for 2 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 be in accordance with the university regulations for academic personnel, and will range from €2,640 up to a maximum of €4,852 (scale 10/11) based on a full-time appointment and depending on qualifications, expertise 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%.
Starting date is flexible, preferably as soon as possible.
- Competitive pay and good benefits;
- top-50 university worldwide;
- an excellent Machine Learning, Deep Learning and Computer Vision Ecosystem, one of the best in the World. A vibrant community of top senior and junior researchers;
- close collaboration with a leading industrial vendor of Machine Learning, Deep Learning and Computer Vision on mobile. Possibilities of internships;
- interactive, open-minded and a very international city;
- excellent research and computing facilities. Science Park is located near the city centre and close to a very friendly and fun part of the city.
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 only submit your application online using the link below. We will accept applications until 1 September 2018. To process your application immediately, please quote the vacancy number 18-452. There are no guarantees that late or incomplete applications will be considered.
Please do not send or cc your application to Dr Efstratios Gavves, Prof. A.W.M. Smeulders, Prof. Cees G.M. Snoek, Prof. Max Welling or Taco Cohen. Only applications via the online process will be considered.
What to include in the application?
- A motivation letter explaining why you are the right candidate (the motivation letter should contain a subsection with your view on Deep Object Tracking (max. 3 pages);
- as a separate section of the motivation letter, describe your vision on how to approach the problem of Deep Temporal Learning (max.3 pages);
- a curriculum vitae, including your full scientific track record. Select one highlight publication and describe it in one paragraph;
- a list of projects you worked on, explaining your contributions and if applicable, your guidance of other researchers;
- at least two academic references (industrial references are also appreciated).
No agencies please