Postdoc in AI-aided Inference of Protein Interaction Networks (Informatietechnologie)

Ghent University is seeking a postdoctoral researcher for a one-year contract in the Department of Informatietechnologie, Faculty of Engineering and Architecture. The position focuses on AI-aided inference of protein interaction networks, leveraging advanced artificial intelligence techniques and biologically relevant assumptions. The successful candidate will join the IDLab Bioinformatics group, led by Prof. Kathleen Marchal and Prof. Tom Demeester, which specializes in developing bioinformatics methods that combine AI with biological principles. Research will be conducted in collaboration with IMEC and experts in molecular dynamics, network biology, and systems biology. The project requires expertise in computational biology, bioinformatics, or structural biology, with strong programming skills and knowledge of protein chemistry and regulation. Candidates should be proficient in Python, R, and/or C++, and comfortable working in Linux environments. The role involves interdisciplinary research, including omics data analysis, gene regulation, and structural modeling. Fluency in English is essential. Applicants must hold a PhD in Engineering, Bioscience engineering, Sciences, or an equivalent degree with a relevant focus. The position offers a competitive salary according to Ghent University's PD1 to PD4 scale, full-time employment, and a comprehensive benefits package including training opportunities, 36 days of annual leave, bicycle allowance, and eco vouchers. To apply, candidates must submit their application online via the university's e-recruitment system before December 10, 2025. Required documents include a CV and study results (merged PDF), cover letter, diploma transcript, two references, and a motivation letter outlining future research ambitions. Applications sent by email will not be considered. For further information, contact Prof. Kathleen Marchal at [email protected]. This position is ideal for researchers interested in interdisciplinary work at the intersection of AI and biological sciences, offering the opportunity to contribute to cutting-edge bioinformatics research in a collaborative and supportive environment at one of Europe's leading universities.