AAU logo

Vacant positions

Postdoc Position on Computer Vision and AI Applied in Camera Surveillance

At the Technical Faculty of IT and Design, Department of Architecture, Design and Media Technology a position as Postdoc in computer vision and AI applied in camera surveillance  is open for appointment from February 1st, 2020 or soon hereafter and for a period of 2 years. The Department of Architecture, Design, and Media Technology has as its goal the development of an innovative cluster of engineering-based environments for education and research which integrate creativity, engineering and technology within the disciplines of architecture, urban design, industrial design, digital design and interactive media. The department is a leading research and educational environment in Denmark that addresses the challenge of the interplay between creativity and technology, and develops new areas in research and education directed towards the end-user.

Job description

At the Visual Analysis of People (VAP) lab, at Aalborg University (AAU), Denmark, there is an opening for a postdoc to work on computer vision and AI topics related to camera surveillance. The candidate is expected to work on one of the topics mentioned below, but related topics could also be of interest. Furthermore, she/he is expected to co-supervise a group of three PhD students who will also work on the topics mentioned below.

The ideal candidate has a PhD degree with a focus on computer vision, AI or both. Experience with camera surveillance in general or one of the specific topics mentioned below is appreciated. When applying it is paramount that the application is accompanied by a suggested project description. That is, a speculative text where the applicant suggests, which topic(s) to work on and how. Here we expect that the applicant documents a solid insight into relevant state-of-the-art literature.

Potential topics:

Designing a multimodal platform where different ways of utilizing different computer vision-based sensors, like optical, thermal, and depth sensors for security applications are studied and analyzed. Suggested subtopics include synchronization, complementing sensing and transfer learning across sensor modality.

Abnormality detection in a network of multi-modal cameras. Suggested subtopics include tracking, re-id and domain adaptation.

Prediction of behavior based on multimodal data. The focus here will be on body pose analysis combined with context domain knowledge, like the information coming from an access control system, combined with deep learning-based analysis of the body motion.

Deep learning-based super-resolution of facial images captured by optical, thermal, and depth surveillance cameras.

This postdoc position is funded under a collaboration agreement between Milestone Systems A/S and Aalborg University: Milestone Research Programme at AAU. Milestone Systems A/S, part of the Canon Group, is a world-leading provider of video management systems and is headquartered in Denmark.

The Candidate filling up the position will be employed by Aalborg University and sit in the VAP lab in Aalborg, where he/she will interact with 25+ computer vision researchers and at the same time have the opportunity to collaborate with the strong research division of Milestone Systems A/S.

If you have any questions regarding these positions, please feel free to reach out to Professor Kamal Nasrollahi at kn@create.aau.dk 

Qualification requirements: 

Appointment as Postdoc presupposes scientific qualifications at PhD–level or similar scientific qualifications. The research potential of each applicant will be emphasized in the overall assessment. Appointment as a Postdoc cannot exceed a period of four years in total at Aalborg University.

The application must contain the following:

  • A motivated text wherein the reasons for applying, qualifications in relation to the position, and intentions and visions for the position are stated.
  • A current curriculum vitae.
  • Copies of relevant diplomas (Master of Science and PhD). On request you could be asked for an official English translation.
  • Scientific qualifications. A complete list of publications must be attached with an indication of the works the applicant wishes to be considered. You may attach up to 5 publications.
  • Dissemination qualifications, including participation on committees or boards, participation in organisations and the like.
  • Additional qualifications in relation to the position. References/recommendations.
  • Personal data.

The applications are only to be submitted online by using the "Apply online" button below. An assessment committee will assess all candidates.

AAU wishes to reflect the diversity of society and welcomes applications from all qualified candidates regardless of personal background or belief.

For further information concerning the application procedure please contact Lisbeth Palmelund by mail est-st-hr@adm.aau.dk or phone (+45) 9940 7553

Agreement

Employment is in accordance with the Ministerial Order on the Appointment of Academic Staff at Universities (the Appointment Order) and the Ministry of Finance's current Job Structure for Academic Staff at Universities. Employment and salary are in accordance with the collective agreement for state-employed academics.   

Vacancy number

2019-224-02537

Deadline

06/01/2020

Apply online
Positions from category

Online application - some good advice

Online application - some good advice

Aalborg University uses an electronic recruitment system for receiving applications. Towards the bottom in the respective job advertisement you will find a link, which you need to use when applying for the position. Before uploading your application it is important that you have all relevant documentation ready in a Word or PDF format, as you need to upload all material at the same time. You cannot leave the application and return to it a couple of hours later without having to start over.

The system does not support ZIP or images files. Filenames can only contain numbers and letters, and each document must take up no more than 20 MB.

If you experience technical problems, we encourage you to try again. If the technical problems, contrary to expectation, cannot be solved, please contact the member of staff listed as the contact person in the job advertisement.