R&D Specialist in AI for Biomedical Imaging

About the LCSB

The University of Luxembourg is an international research university with a distinctly multilingual and interdisciplinary character.

The Luxembourg Centre for Systems Biomedicine (LCSB) is an interdisciplinary research centre of the University of Luxembourg.
We conduct fundamental and translational research in the field of Systems Biology and Biomedicine - in the lab, in the clinic and in silico. We focus on neurodegenerative processes and are especially interested in Alzheimer's and Parkinson's disease and their contributing factors. The LCSB recruits talented scientists from various disciplines: computer scientists, mathematicians, biologists, chemists, engineers, physicists and clinicians from more than 50 countries currently work at the LCSB. We excel because we are truly interdisciplinary, and together we contribute to science and society.

The AI in Biomedical Imaging research group conducts applied AI research focused on biomedical image computing. Our work involves developing state-of-the-art methods for image segmentation, detection, classification, predictive modelling, and image enhancement. We aim to build trustworthy and robust AI models that address domain-specific challenges in biomedical applications, with a strong emphasis on neurodegenerative diseases.

Your role

• Act as the core developer for software projects within the group, translating cutting-edge deep learning algorithms into robust, maintainable analysis tools and pipelines
• Implement and optimize large-scale deep learning workflows on GPU-enabled High-Performance Computing (HPC) environments
• Prototype using emerging computer vision frameworks, applied machine learning techniques, and medical imaging standards
• Develop user-friendly front-end interfaces, web dashboards, or software demonstrators to make biomedical image analysis models accessible to clinical and biological researchers

The successful candidate will join the AI in Biomedical Imaging group as a Level 1 R&D Specialist and contribute to the practical translation, optimization, and software development of applied machine learning pipelines. The person will bridge the gap between academic AI research and concrete, deployable biomedical imaging software solutions. The candidate will collaborate with an interdisciplinary team of computer scientists, AI researchers, and biomedical experts, contributing to code reviews, repository management, and software best practices.

Your profile

• Master's degree in Computer Science, Biomedical Engineering, Software Engineering, Data Science, or a related discipline
• Experience in software development, applied machine learning, or data pipeline engineering
• Strong proficiency in Python development practices and deep learning frameworks, specifically PyTorch and MONAI
• Practical knowledge of computer vision, pattern recognition, and image analysis: experience with biomedical imaging modalities is a strong asset
• Hands-on experience deploying and managing workloads in GPU-enabled High-Performance Computing (HPC) or cloud environments
• Open-minded critical thinker with strong organizational and analytical skills, capable of taking ownership of technical deliverables
• Language Skills: Excellent command of English (C1) is required

We offer

• A modern, dynamic university with a personal and inclusive atmosphere. Multilingual and international character. Staff coming from more than 90 countries. Member of The Guild of European Research Intensive Universities
• An exceptional research environment, supported by skilled staff and high-quality equipment. Strong links to professional sectors and the Luxembourg labour market. A unique urban campus with excellent infrastructure
• A partner for society and industry. Cooperation with European institutions, innovative companies, the Financial Centre and a wide range of non-academic partners including ministries, local governments, associations, and NGOs

How to apply

Applications should include:

• Curriculum Vitae, including list of publications
• Cover letter, including your interest in our specific field
• Copy of master's diploma
• Copy of transcript of records

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

All qualified individuals are encouraged to apply. In line with our values, the University of Luxembourg promotes an inclusive culture. We encourage applications from individuals of all backgrounds and are dedicated to upholding equality and respect for our employees and students.

General information:

• Contract Type: Fixed Term Contract 12 Month
• Work Hours: Full Time 40.0 Hours per Week
• Location: Belval Campus
• Internal Title: Research and development specialist
• Job Reference: UOL08404

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