RA in Automated Formulation & Computational Design of Antimicrobial Delivery
Loughborough
Fixed-term
Full-time
Competitive
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Sign in Create an accountLoughborough University is seeking a Research Associate to join a project focused on automated formulation and computational design of antimicrobial delivery systems.
This role sits at the intersection of pharmaceutical sciences, materials chemistry, and computational methods, contributing to the development of novel antimicrobial delivery strategies. The successful candidate will work within a multidisciplinary team to design, develop, and evaluate formulations using automated and high-throughput approaches, alongside computational modelling to guide and optimise delivery system design.
Responsibilities will include conducting experimental research into antimicrobial formulation, utilising automated laboratory platforms for high-throughput screening and formulation development, applying computational tools to model and predict formulation behaviour, contributing to the analysis and interpretation of data, and disseminating findings through publications and presentations.
Candidates should hold a PhD (or be near completion) in a relevant discipline such as pharmacy, pharmaceutical sciences, materials science, chemistry, or a related field. Experience in formulation science, drug delivery, computational modelling, or automated laboratory systems is desirable. Strong analytical and communication skills are essential, along with the ability to work collaboratively in a research team.
This role sits at the intersection of pharmaceutical sciences, materials chemistry, and computational methods, contributing to the development of novel antimicrobial delivery strategies. The successful candidate will work within a multidisciplinary team to design, develop, and evaluate formulations using automated and high-throughput approaches, alongside computational modelling to guide and optimise delivery system design.
Responsibilities will include conducting experimental research into antimicrobial formulation, utilising automated laboratory platforms for high-throughput screening and formulation development, applying computational tools to model and predict formulation behaviour, contributing to the analysis and interpretation of data, and disseminating findings through publications and presentations.
Candidates should hold a PhD (or be near completion) in a relevant discipline such as pharmacy, pharmaceutical sciences, materials science, chemistry, or a related field. Experience in formulation science, drug delivery, computational modelling, or automated laboratory systems is desirable. Strong analytical and communication skills are essential, along with the ability to work collaboratively in a research team.
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Job details
- Category
- Postdoctoral / Research Fellow
- Subject
- Pharmacy & Pharmacology
- Posted
- 12 Nov 2026
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