University of Southampton
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1 week ago
Fully Funded PhD in Efficient Multicomponent Pharmaceutical Crystal Form Screening with Crystal Structure Prediction University of Southampton in United Kingdom
Degree Level
PhD
Field of study
Computer Science
Funding
Fully funded for UK and international applicants. The post does not specify stipend amount or tuition details in the excerpt, but it is presented as a fully funded PhD project.
Deadline
Dec 11, 2026
Country
United Kingdom
University
University of Southampton
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About this position
PhD opportunity at the University of Southampton in efficient multicomponent pharmaceutical crystal form screening with crystal structure prediction.
This fully funded doctoral project sits in the Faculty of Engineering and Physical Sciences and focuses on developing new computational methods to accelerate the screening of pharmaceutical crystal forms. The research combines computational chemistry, machine learning, crystal engineering, solid-state chemistry, scientific software development, and high-performance computing.
You will work on accelerated crystal structure prediction workflows, machine-learned interatomic potentials, and tools for screening large libraries of coformers. The project aims to identify stable cocrystals or predict cocrystal propensity without running a full CSP study for every candidate system. The work uses the open-source mol-CSPy software package developed by the research group.
The project includes collaboration with AstraZeneca, offering exposure to industrial pharmaceutical development and real-world solid-form challenges, with possible visits or placement activities. Training includes crystal structure prediction, molecular simulation, machine learning for molecular and materials modelling, Python software development, and scientific communication.
Eligibility: applicants should have a 2:1 honours degree. The post is advertised as fully funded (UK and international). The closing date is 11 December 2026.
If you are interested in pharmaceutical materials, crystal prediction, and computational methods for medicines development, this PhD project offers a strong interdisciplinary research environment and industrial collaboration.
Funding details
Fully funded for UK and international applicants. The post does not specify stipend amount or tuition details in the excerpt, but it is presented as a fully funded PhD project.
What's required
Applicants should have a 2:1 honours degree. The project is suited to candidates interested in computational chemistry, machine learning, crystal engineering, solid-state chemistry, Python software development, and high-performance computing. The post highlights training and collaboration with AstraZeneca; no specific language test or additional entry criteria are stated in the post excerpt.
How to apply
Review the project details on the University of Southampton page and use the PhD application route linked from the project page. Check the full entry requirements and contact information before submitting your application.
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Prepare your application
Review drafts and confirm requirements with the university.
Make your next move.
Prepare your application
Review drafts and confirm requirements with the university.