Nausheen Basha
Top university
6 months ago
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Fully Funded PhD in Hybrid ML-Physics Optimisation of Pharmaceutical Reactors The University of Manchester in United Kingdom
Degree Level
PhD
Field of study
Computer Science
Funding
Fully funded PhD studentship for a Home student.
Deadline
Expired
Country
United Kingdom
University
The University of Manchester

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About this position
Professor/announcer Nausheen Basha, Assistant Professor at The University of Manchester, is recruiting for a fully funded PhD (Home) student in hybrid ML-Physics optimisation of pharmaceutical reactors.
The project sits within the growing research group in Computational Design Intelligence at The University of Manchester and focuses on the intersection of machine learning, CFD, and scientific computing. The research aims to develop complex multi-fidelity optimisation methods for crystallisation reactor designs, making it a strong fit for candidates interested in computational modelling, optimisation, and process design.
Ideal applicants should have a strong background in engineering, physics, mathematics, computing, or a related field. Interest in computational modelling and optimisation is specifically highlighted.
This is a fully funded PhD studentship for a Home student. No deadline is stated in the post. Interested candidates should review the project details via the linked page and contact Nausheen Basha for further information on the project and how to apply.
Relevant link: https://lnkd.in/e4GbWG-a
Funding details
Fully funded PhD studentship for a Home student.
What's required
A strong background in engineering, physics, mathematics, computing, or a related field is preferred. The project is suited to candidates with an interest in computational modelling, optimisation, machine learning, CFD, and scientific computing.
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