Digitally Enabled Self-Optimisation of Heterogenous Chemical Processes
£20,780 - £20,780
Feb 27, 2026
United Kingdom
individual
About This Opportunity
This PhD research project focuses on developing an advanced platform utilizing AI and self-optimizing reaction technology to improve the efficiency and effectiveness of heterogeneous chemical reactions, thereby accelerating product development. The project aims to expand automated reaction platforms beyond homogeneous reactions to heterogeneous reactions, which constitute 75-80% of reactions in pharmaceutical synthesis. The research will combine automated reaction platforms with optimization algorithms to create Self-Optimization Flow Reactors (SOFRs) for heterogeneous processes. This industrially supported project builds on collaboration between the University of Leeds and Dr Reddy's Ltd, harnessing complementary expertise to address real-world challenges in pharmaceutical synthesis and chemical manufacturing.
Who Can Apply
- Region
- United Kingdom
- Citizenship
- United Kingdom
- Residency
- United Kingdom
- Project in
- United Kingdom
- Applicants
- individual
- Organizations
- academic
Application Details
Stages
- 1 single_stage
Required documents
Review process
Competitive selection based on academic merit through EPSRC Faculty Doctoral Landscape Award Competition
Additional benefits
- training
Restrictions
- geographic_restrictions
External Application
This opportunity requires you to apply directly on the funder's website.
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Always verify on the official sourceKey Information
- Award Amount
- £20,780 - £20,780
- Application Deadline
-
February 27, 2026 at 23:59 UTCDeadline passed
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