The University of Luxembourg seeks to hire outstanding researchers at its Interdisciplinary Centre for Security, Reliability and Trust (SnT). SnT is a recently formed centre carrying out interdisciplinary research in secure, reliable and trustworthy ICT (Information and Communication Technologies) systems and services, often in collaboration with industrial, governmental or international partners. SnT is active in several international research projects.
Doctoral Candidate (PhD Position) in Computer Vision for Space applications (M/F)
We offer an attractive PhD candidate position research in close cooperation with our industrial partner LIFT-ME OFF. LIFT-ME OFF is a start-up located in London and Luxembourg designing novel AI Solutions to enable future in-orbit services (https://www.liftmeoff.com/). The successful candidate will join the Computer Vision, machine Intelligence and Imaging (CVI2) research group headed by Dr. Djamila Aouada to pursue a PhD in the area of Computer Vision for Space applications. He/she will carry out research in predefined topics contributing to SnT and LIFT-ME OFF’s R&D activities. This project will require conducting full scale experiments, including real-time implementation, data acquisition, training and validation at the SnT CVI2 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 CVI2 laboratory
- Proposing and implementing real-time solutions
- Participating in proposal writing
- Participating in organizing relevant workshops and demonstrations
- For further information you may check: www.securityandtrust.luor contact Djamila.Aouada@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 Python/Matlab/C/C++
- Familiarity with machine learning and deep learning concepts.
- Strong background in Mathematics and Physics
- Experience of working with one or more of the following frameworks: TensorFlow, PyTorch, Keras, etc.
- A particular interest for space applications
- Commitment, team working and a critical mind
- Fluent written and verbal communication skills in English are mandatory
The candidates have a student status (in the framework of a 36 months PhD studies programme). 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 newly created research centre.
Interested candidates should send their application in English and the application should include the following information:
- A full CV
- List of three referees , including details (name and email address, etc)
- Publication list
- Transcript of all modules and results from university-level courses taken
- Research statement and topics of particular interest to the candidate (300 words)
Deadline for applications: 30 April 2020.Early submission is encouraged. Applications will be processed upon arrival.