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Graduate Admissions


A PhD studentship is available to work on the development of machine learning tools for design of multi-phase reactions and separations. The project is funded in the context of a large collaboration with BASF SE on flow chemistry. The project will address the experimental challenges of data generation for reactive and non-reactive multi-phase (liquid-liquid) chemical systems and development of accurate models on the basis of experimental data and predictions. A hybrid mechanistic-Machine Learning approach will be developed in this project. The project will combine experimental work, with thermodynamics, process simulations and machine learning.

The project student will be associated with SynTech CDT (, and will have access to all CDT training courses and events.

Successful applicants would have their first degree in (Bio) Chemical Engineering, with a strong background and interest in mathematics, machine learning, artificial intelligence. Prior experience in coding is not necessary, but is an advantage. Standard admissions criteria apply. Full scholarship (fees+stipend) is only available to EU/UK eligible candidates.

The studentship is expected to start in January 2021.

To enquire about this PhD project, please contact Prof. Alexei Lapkin (

Please quote reference NQ23526 on your application and in any correspondence about this vacancy.

The University actively supports equality, diversity and inclusion and encourages applications from all sections of society.

The University has a responsibility to ensure that all employees are eligible to live and work in the UK.

Key Information

Department of Chemical Engineering and Biotechnology

Reference: NQ23526

Dates and deadlines:

Tuesday, 21 July, 2020
Closing Date
Thursday, 20 August, 2020