PhD Candidate in Shape Modelling University of Luxembourg, Department of Computer Science

The University of Luxembourg is a multilingual, international research University.

The University of Luxembourg is looking for its Interdisciplinary Centre of Security and Trust (SNT) for a

PhD Candidate in Computer Vision (M/F)

• Ref: R-AGR-3086-10-C
• Fixed Term Contract up to 3 years in total, pending satisfaction of progress milestones (CDD), full-time (40 hrs/week)
• Number of positions: 2

Start day: as soon as possible

The Interdisciplinary Centre for Security, Reliability and Trust (SnT) invites applications from PhD holders in the general area of computer vision. SnT is carrying out interdisciplinary research in secure, reliable and trustworthy ICT systems and services, often in collaboration with industrial, governmental or international partners. SnT is active in several international research projects funded by the EU H2020 and the European Space Agency.

The Centre is currently expanding its research activities and is seeking highly motivated research associates who wish to pursue research in close cooperation with our partners. For further information you may check:www.securityandtrust.lu and http://wwwen.uni.lu/snt/research/sigcom .

For further information, please contact : Dr. Djamila Aouada (djamila.aouada@uni.lu).

Your Role

The successful candidate will join a growing team in computer vision and image processing. He/She will be member of the SnT Computer Vision Lab managed by Dr. Djamila Aouada as part of the SIGCOM group of Prof. Björn Ottersten. The candidate will pursue an industrial PhD project on human body shape modelling in partnership with ARTEC 3D (www.artec3d.com), a global leader for handheld 3D scanners. This research will rely on defining new mathematical models using concepts from 3D geometry, statistical shape modelling, and deep learning.

The position holder will be required to perform the following tasks:

• Carrying out research in human body shape modelling
• Disseminating results through scientific publications
• Providing support in setting up and running experiments in the SnT Computer Vision laboratory
• Implementing real-time solutions
• Participating in proposal writing
• Participating in organizing relevant workshops and demonstrations

Your Profile

• A master’s degree in Electrical Engineering, Computer Science, Applied Mathematics or a related field
• Previous experience in image/signal processing and/or in computer vision
• Strong programming skills in C/C++/Python
• Strong mathematical background
• Experience with Matlab
• Experience with RGB-D cameras and RGB-D data will be considered as an advantage
• Commitment, team working and a critical mind
• Fluent written and verbal communication skills in English are mandatory

We offer

The University offers a Fixed Term Contract up to 3 years in total, pending satisfaction of progress milestones (CDD), full-time (40 hrs/week). The University offers highly competitive salaries and is an equal opportunity employer.

You will work in an exciting international environment and will have the opportunity to participate in the development of a dynamic and growing centre.

Further Information

Applications, written in English should be submitted online and should include:

• Curriculum Vitae (including your contact address, work experience, publications)
• Cover letter indicating the research area of interest and your motivation
• Transcript of all university-level courses taken
• A short description of your Master’s work (max 1 page)
• Contact information for at least 2 referees

Please apply online until November 17, 2016.

Early submission is strongly encouraged. Applications will be processed upon arrival.