Department: Interdisciplinary Centre for Security, Reliability and Trust (SnT)
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.
The successful candidates will join the SIGCOM group led by Prof. Björn Ottersten in order to pursue a PhD in the general area of Computer Vision. They will carry out research in predefined topics contributing to SIGCOM’s activities in the field (European projects, partnered projects, national projects, etc.). This research will rely on defining new mathematical models using concepts from multi-modality fusion, motion estimation, tracking, pattern recognition and 3D descriptors. Challenges related to defining models that are independent of noise, occlusions and view point variations will be tackled. All projects require conducting full scale experiments, including real-time implementation, data acquisition, training and validation at the SnT Computer Vision Lab.
The position holder will be required to perform the following tasks:
Carrying out research in a predefined topic and producing results
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
For further information, please contact Djamila.Aouada@uni.lu or Bjorn.Ottersten@uni.lu.
A master’s degree in Electrical Engineering, Computer Science, Applied Mathematics or a related field
Strong background in image/signal processing and in computer vision
Strong programming skills in Matlab/C/C++
Strong mathematical background
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
The University offers a fixed Term Contract up to 4 years, pending satisfaction of progress milestones (CDD).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.
Applications (please refer to http://emea3.mrted.ly/x3f4), 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
Deadline for applications: February 15, 2016. Early submission is encouraged, applications will be processed upon arrival.
Application Instructions: Follow the following link for job application: http://emea3.mrted.ly/x3i7