Postdoctoral Researcher in Computational Biology and Machine Learning

The selected candidate will develop a computational platform to identify hierarchical combinations of cell fate conversion factors, which in turn will be used to engineer highly specialized neuronal cellular subtypes for cell transplantation therapies. To achieve this goal, the candidate will combine a gene network-based approach with a machine learning model (foundational model) to propose protocols of sequential induction of transcription factors to generate desired cell subtypes. The project will be conducted in close collaboration with Prof. Stefan Stricker at the Ludwig Maximilian University of Munich, who will also conduct the experimental validation of the computational predictions.

• Ph.D. in computational biology, bioinformatics, computer science, biology, or a related discipline
• Strong interest in applying quantitative approaches to complex biological and biomedical questions
• Solid computational skills, including experience in mathematical or network-based modeling, supported by demonstrable work in a relevant research context
• Strong first-author publication record, excellent analytical and problem-solving abilities, and the capacity to work effectively in an interdisciplinary research environment
• Fluency in English is required

Preferred skills:

• A record of first-author publications in the fields of bioinformatics and/or computational biology
• Prior experience in mathematical modeling of biological networks
• Prior experience with the development of machine learning approaches in biological systems

• Multilingual and international character. Modern institution with a personal atmosphere. Staff coming from 90 countries. Member of the “University of the Greater Region” (UniGR)
• A modern and dynamic university. High-quality equipment. Close ties to the business world and to the Luxembourg labour market. A unique urban site with excellent infrastructure
• A partner for society and industry. Cooperation with European institutions, innovative companies, the Financial Centre and with numerous non-academic partners such as ministries, local governments, associations, NGOs …

Applications should include:

• Curriculum Vitae
• Cover letter detailing your motivation for applying to the advertised research topic and/or project, including how your background, interests, and career goals align with its objective
• PhD diploma or a letter/information indicating the expected defense date
• Transcript of all modules and results from university-level courses taken
• List of publications

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 18 Month
• Work Hours: Full Time 40.0 Hours per Week
• Planned start date: June 1^st, 2026
• Location: Belval Campus
• Internal Title: Postdoctoral researcher
• Job Reference: UOL08068

The yearly gross salary for every Postdoctoral Researcher at the UL is EUR 85176 (full time).

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.

Successful candidates will join the Computational Biology group, led by Prof. Antonio del Sol, which develops computational models to address challenges in stem cell research, aging and disease modeling. The group employs methodologies from different areas of mathematics, engineering, and physics, and integrates multiple sources of biological information to study biological processes at different levels of organization. For more information, please visit the group’s website.

• Apply online