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Ghent University

PhD in Machine Learning and Quantum Chemistry for PFAS Alternatives Ghent University in Belgium

Degree Level

PhD

Field of study

Computer Science

Funding

Full funding available
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Country

Belgium

University

Ghent University

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Keywords

Computer Science
Chemistry
Chemical Engineering
Materials Science
Quantum Chemistry
Artificial Intelligence
Computational Chemistry
Computational Science
Python Programming
Physics
ML

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About this position

Ghent University in Belgium is advertising a 4-year fully funded PhD in Machine Learning and Quantum Chemistry for the Discovery of PFAS Alternatives. The project sits at the intersection of artificial intelligence, materials science, chemistry, and chemical engineering, with a strong computational focus.

The PhD researcher will work on AI-driven methods to map the chemical space of PFAS, generate quantum-chemical datasets, predict physicochemical properties, develop machine learning models for performance and safety, and design non-fluorinated alternatives. The project also aims to build open-source tools for researchers and industry. It is part of the IHI-funded PFAROS project involving 70+ partners across 17 countries.

Eligible applicants should have a relevant Master’s degree in Materials Science, Chemistry, Chemical Engineering, Computer Science, or a related field. The vacancy specifically asks for Python programming experience and a strong interest in AI for scientific research. Experience with quantum-chemical simulations or machine learning is helpful but not required.

The position is based at Ghent University in Belgium and is available from 1 September 2026. No closing date is stated in the official vacancy, so candidates are encouraged to apply/contact the team as soon as possible. Application materials mentioned in the post include a CV, cover letter, and BSc/MSc diplomas/transcripts, with the subject line “PFAS PhD Position Application”.

Funding details

Full funding including tuition fees and living expenses is available for this position. The scholarship covers all educational costs and provides a monthly stipend.

How to apply

Please submit your application including a cover letter, CV, academic transcripts, and contact information for two references. Applications should be sent via the online portal before the deadline.

More information can be found here

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