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Jan Verwaeren

8 months ago

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

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Country

Belgium

University

Ghent University

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Keywords

Computer Science
Machine Learning
Biomedical Engineering
Chemical Engineering
Deep Learning
Statistical Analysis
Artificial Intelligence
Python Programming
Artificial Neural Network
Data-driven Modeling
bio engineering

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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