R&D in AI/Machine Learning for Medical Image Computing

The University | About us...

The University of Luxembourg is an international research university with a distinctly multilingual and interdisciplinary character. The University was founded in 2003 and counts more than 6,700 students and more than 2,000 employees from around the world. The University's faculties and interdisciplinary centres focus on research in the areas of Computer Science and ICT Security, Materials Science, European and International Law, Finance and Financial Innovation, Education, Contemporary and Digital History. In addition, the University focuses on cross-disciplinary research in the areas of Data Modelling and Simulation as well as Health and System Biomedicine. Times Higher Education ranks the University of Luxembourg #3 worldwide for its "international outlook," #20 in the Young University Ranking 2021 and among the top 250 universities worldwide.

The Faculty of Humanities, Education and Social Sciences (FHSE) brings together expertise from the humanities, linguistics, cognitive sciences, social and educational sciences. People from across 20 disciplines are working within the Faculty. Along with the disciplinary approach a very ambitious interdisciplinary research culture has been developed.

The faculty's research and teaching focuses on social, economic, political and educational issues with the common goal of contributing to an inclusive, open and resourceful society. The FHSE offers six Bachelor and twenty Master degrees and a doctoral school providing students with the necessary knowledge and high-qualified skills to succeed in their future career.

The Department of Behavioural and Cognitive Sciences, together with the Imaging AI group at the Luxembourg Centre for Systems Biomedicine, is looking for a Research and Development Specialist.

Your Role...

The Imaging AI group develops applied AI research focused on biomedical signal analysis and medical image computing. The general aim of the group is translating algorithms from fundamental AI and imaging research closer to a concrete biomedical application. A current main focus is on developing more robust AI models for applied image computing, for example by employing domain adaptation, joint embedding architectures, or similar techniques. The specific project is a close collaboration with the Dept. of Behavioural and Cognitive Sciences and revolves around multi-modal data fusing / joint embedding architectures for imaging and cognitive markers, in particular for pain assessment.

What we expect from you…

• At least a Master's degree in Computer Science or related discipline
• Interest in applied machine learning, including but not limited to deep learning
• Interest in image analysis / computer vision and pattern recognition, including but not limited to biomedical applications, in particular for neuroscience
• Experience with recent deep learning frameworks (e.g. Pytorch, MONAI)
• Experience with programming languages (Python, MATLAB)
• Experience utilising GPU enabled High-Performance Computing environments is an asset
• Open minded critical thinker, willing to actively contribute to the further development of a multi-cultural and multi-disciplinary research team
• Strong organisational and analytical skills

We are looking for highly motivated candidates who share our passion for research, are interested in acquiring new skills and wish to be part of an international and multi-interdisciplinary team. In our team, we follow a leadership concept of promoting independent work and autonomous collaboration of team members towards common goals. We expect the candidate to actively contribute with their diverse experiences to the projects of their peers, in order to move forward together. In return, we offer individual mentorship, an always open door and support external trainings and personal development efforts tailored to the individual needs of candidates.

How to apply...

Applications (in English) should contain the following documents:

• A motivation letter that justifies your interest in our specific field
• A detailed curriculum vitae, copy of diploma(s), copy of transcript of records
• Confidential reference letters directly provided by the referees via e-mail () ASAP after submitting the application are welcome

Early application is highly encouraged, as the applications will be processed upon reception. Please apply formally through the HR system. Applications by email will not be considered.

The University of Luxembourg embraces inclusion and diversity as key values. We are fully committed to removing any discriminatory barrier related to gender, and not only, in recruitment and career progression of our staff.

General information:

• Contract Type: Fixed Term Contract 12 Month (extendable)
• Earliest start date: June 2024
• Work Hours: Full Time 40.0 Hours per Week
• Location: Belval
• Internal Title: Research and development specialist
• Job Reference: UOL06329