Jan Verwaeren
8 months ago
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Postdoctoral Collaborator – Data Analysis and Mathematical Modeling in Pharmaceutical Production Ghent University in Belgium
Degree Level
Postdoc
Field of study
Computer Science
Funding
Available
Deadline
Expired
Country
Belgium
University
Ghent University

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About this position
Ghent University invites applications for a postdoctoral collaborator in Data Analysis and Mathematical Modeling within the Faculty of Bioscience Engineering, Department BW26. This 24-month, full-time position focuses on data-driven modeling to optimize production processes in the pharmaceutical sector. The successful candidate will develop state-of-the-art neural networks to accelerate pharmaceutical formulation development, collaborate with industry partners to implement these techniques, and contribute to scientific publications on their applications.
The ideal candidate will hold a PhD in Bioscience Engineering, Chemical Engineering, Statistical Data Analysis, Artificial Intelligence, Computer Science, or a related field. Essential qualifications include in-depth knowledge of deep learning and knowledge-guided machine learning, strong Python programming skills, and the ability to conduct independent research. Experience in the pharmaceutical sector is advantageous. Fluency in English, both spoken and written, is required.
Ghent University is one of Belgium’s leading research institutions, offering a vibrant academic environment with over 15,000 staff members and a commitment to diversity and equal opportunities. The position offers a competitive salary according to the PD1–PD4 scale, a comprehensive benefits package including training opportunities, 36 days of annual leave, bicycle allowance, and eco vouchers.
Applications must be submitted online via the Ghent University e-recruitment system by January 6, 2026. Required documents include a CV with study results, a cover letter, and a transcript of the required degree (with translation if necessary). For further information about the vacancy, contact Prof Jan Verwaeren at [email protected]. Please note that applications sent by email will not be considered.
Funding details
Available
What's required
Applicants must hold a PhD degree in Bioscience Engineering, Chemical Engineering, Statistical Data Analysis, Artificial Intelligence, Computer Science, or an equivalent qualification. In-depth knowledge of deep learning techniques and knowledge-guided machine learning is required. Experience with Python is essential. Candidates should be able to assimilate information quickly and conduct independent research. Experience in the pharmaceutical sector is an advantage. Fluency in spoken and written English is required. Candidates should be motivated and dedicated.
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