Publisher
source

University of Southampton

Top university

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 flag

Country

United Kingdom

University

University of Southampton

Apply for this position

Keywords

Computer Science
Chemistry
Chemical Engineering
Materials Science
Computational Chemistry
Solid State Physics
Pharmacy
Crystal Engineering
Software Development
High Performance Computing
Physics
ML

Suggested positions

Publisher
source

University of Southampton

Country flag

United Kingdom

PhD opportunity at the University of Southampton in predictive models for battery interfaces , combining quantum simulations , atomistic modelling , computational chemistry , machine learning , and electrochemistry . The project focuses on the solid electrolyte interphase (SEI) , a critical region in batteries that strongly affects performance and lifetime. You will work on large-scale quantum simulations using ONETEP together with reactive AI-driven force fields to build high-fidelity models of...

Computer Science
Chemistry
Chemical Engineering
+7 more

3 weeks ago

Publisher
source

University of Liverpool

Country flag

United Kingdom

PhD opportunity at the University of Liverpool in Discovery of Pb-free solders for use in the glass industry . This project sits at the intersection of chemistry , materials science , and computer science , with a strong emphasis on machine learning , computational chemistry , inorganic chemistry , and synthetic chemistry . Working with a major industrial partner, the successful candidate will build databases of alloy melting points, develop predictive ML models for Pb-free solder compositions, ...

Computer Science
Data Science
Chemistry
+8 more

1 month ago

Publisher
source

Graeme Day

University of Southampton

Country flag

United Kingdom

PhD opportunity at the University of Southampton in the School of Chemistry & Chemical Engineering with Professor Graeme Day . The project is funded in collaboration with AstraZeneca and focuses on crystal structure prediction methods for screening multicomponent forms of active pharmaceutical ingredients . This is a research-intensive PhD in chemistry , with strong relevance to pharmaceutical science , solid-state chemistry , and materials science . The work will develop computational approache...

Chemistry
Materials Science
Computational Chemistry
+1 more

3 weeks ago

Publisher
source

University of Leicester

Country flag

United Kingdom

PhD opportunity at the University of Leicester in the Alloy Design & Phase Transformations Research Group with Dr Gebril El-Fallah . This project focuses on austenitic steels , thermal expansion , high-temperature strength , metallurgy , solid state physics , and machine learning . The research asks whether magnetic behaviour can be engineered to reduce thermal expansion in steels while preserving strength and stability for structural service in advanced energy systems. You will study how alloy ...

Computer Science
Chemistry
Mechanical Engineering
+6 more

4 weeks ago

Publisher
source

Stefano Racioppi

University of Cambridge

Country flag

United Kingdom

PhD opportunity at the University of Cambridge in the group of Stefano Racioppi (Assistant Research Professor), funded by the ERC Starting Grant QUANTEX . The project will investigate how extreme pressure changes electronic structure , chemical bonding , and chemical periodicity . The research combines ab initio methods , crystal structure prediction , and machine learning , making it a strong fit for candidates interested in theoretical chemistry , condensed matter physics , and computational m...

Computer Science
Chemistry
Materials Science
+7 more

1 week ago

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.

ApplyKite TwinLearns as you apply

Make your next move.

Prepare your application

Review drafts and confirm requirements with the university.