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Nausheen Basha

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Fully Funded PhD Projects in Machine Learning for Lipid Nanoparticle and Vaccine Reactor Design The University of Manchester in United Kingdom

Degree Level

PhD

Field of study

Computer Science

Funding

Both projects are fully funded. PhD 1 is a 4-year PhD with a £30,000 tax-free stipend. PhD 2 is a 3.5-year PhD with a UKRI stipend of £21,805 for 2026/27 (tax-free) plus £2,500 per year research training support.

Deadline

Dec 4, 2026

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Country

United Kingdom

University

The University of Manchester

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Keywords

Computer Science
Biomedical Engineering
Mechanical Engineering
Chemical Engineering
Materials Science
Biology
Design Engineering
Pharmaceutical Industry
Physics
ML
bio engineering

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About this position

Assistant Professor Nausheen Basha at The University of Manchester is recruiting for two fully funded PhD projects that combine machine learning, computational fluid dynamics, engineering design, and pharmaceutical/vaccine manufacturing.

PhD 1: Human-in-the-Loop Decision-Making for Lipid Nanoparticle Reactor Design
Supervision includes Omar Rivasplata (Department of Computer Science, The University of Manchester). This project is part of the UKRI AI Centre for Doctoral Training in Decision Making for Complex Systems, a collaboration between The University of Manchester and the University of Cambridge. It is currently open to Home applicants only and offers a fully funded 4-year PhD with a £30,000 tax-free stipend. Deadline: 4 December 2026.

PhD 2: Physics-Grounded Learning of AI Agents for Designing Vaccine Reactors
Supervision includes Jayne Lawrence MBE (The University of Manchester Faculty of Biology, Medicine and Health). This project is open to Home and International applicants and offers a fully funded 3.5-year PhD with a UKRI stipend of £21,805 for 2026/27 (tax-free) plus £2,500/year research training support. Round 1 deadline: 31 October 2026.

Research themes include AI, Bayesian optimisation, physics-informed learning, bioengineering, CFD, and reactor design for lipid nanoparticles and vaccines. If you are interested in these areas, review the project links and eligibility details, then apply before the relevant deadline.

Funding details

Both projects are fully funded. PhD 1 is a 4-year PhD with a £30,000 tax-free stipend. PhD 2 is a 3.5-year PhD with a UKRI stipend of £21,805 for 2026/27 (tax-free) plus £2,500 per year research training support.

What's required

Applicants should be suitable for a PhD and interested in machine learning, computational fluid dynamics, engineering design, and pharmaceutical/vaccine manufacturing. PhD 1 is currently open to Home applicants only; PhD 2 is open to Home and International applicants.

How to apply

Use the provided application links for each PhD project and apply before the stated deadline. Check eligibility carefully: PhD 1 is for Home applicants only, while PhD 2 is open to Home and International applicants. Review the UKRI CDT and project details before submitting.

More information can be found here

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