Research Associates (Postdoc) in Artificial Intelligence for Space Applications

SnT is a leading international research and innovation centre in secure, reliable and trustworthy ICT systems and services. We play an instrumental role in Luxembourg by fueling innovation through research partnerships with industry, boosting R&D investments leading to economic growth, and attracting highly qualified talent.

The successful candidates will join the Computer Vision, Machine Intelligence and Imaging (CVI2) headed by Prof. Djamila Aouada. He/she will carry out research in computer vision and machine learning, with an extensive development of deep learning approaches for object pose estimation. This position will require conducting full scale experiments, including data acquisition, training and validation at the SnT Zero-G Lab. CVI2 offers the opportunity to work on multiple research projects (in cooperation with industrial partners such as LMO, POST, ARTEC 3D and DataThings and/or national and international academic collaborations).

We’re looking for people driven by excellence, excited about innovation, and looking to make a difference. If this sounds like you, you’ve come to the right place!

The position holder will be involved in European Space Agency (ESA) project and will be working closely with our industrial partner LMO. He/she will be required to perform the following tasks:

• Propose and develop models and implement algorithm solutions to meet the requirements
• Work closely with project’s stakeholders
• Shaping research directions and producing results
• Participating in proposal writing
• Coordinating research projects and delivering outputs
• Disseminating results through scientific publications
• Providing guidance to PhD and MSc students
• Participating to the teaching activities
• Providing support in setting up and running experiments in the SnT Zero-G laboratory
• Proposing Participating in organizing relevant workshops and demonstrations

• A PhD degree in Computer Science, Electrical Engineering or a related field
• Strong background in image processing and computer vision
• Experience with deep learning algorithms for pose estimation, domain adaptation and/or using temporal data for state estimation
• Strong mathematical background
• Strong programming skills in Python
• Experience of working with one or more of the frameworks: PyTorch, TensorFlow, keras , etc.
• Commitment, team working and a critical mind
• A particular interest for computer vision in space applications
• Familiarity with ESA/EU projects (FP7/H2020), national/international projects and/or industrial project
• Fluent written and verbal communication skills in English are mandatory

• Exciting infrastructures and unique labs. At SnT’s two campuses, our researchers can take a walk on the moon at the LunaLab, build a nanosatellite, or help make autonomous vehicles even better
• The right place for IMPACT. SnT researchers engage in demand-driven projects. Through our Partnership Programme, we work on projects with more than 55 industry partners
• Be part of a multicultural family. At SnT we have more than 60 nationalities. Throughout the year, we organise team-building events, networking activities and more
• Multiple funding sources for your ideas. The University supports researchers to acquire funding from national, European and private sources
• Competitive salary package. The University offers a 12 month-salary package, over six weeks of paid time off, health insurance and subsidised living and eating