Research Associate/Fellow in Optimisation for 3D Printing
Develop advanced computational frameworks and optimisation techniques for 3D printed biocatalytic flow reactors.
Best for:Best for researchers with a PhD in engineering or physics, strong Python or MATLAB skills, and a background in computational modelling or optimisation.
Overview
The University of Nottingham's Faculty of Engineering is seeking a Research Associate/Fellow to contribute to an interdisciplinary EPSRC Programme Grant focused on on-demand manufacturing and 3D printing. The successful candidate will develop software tools and optimisation techniques to determine novel geometrical configurations for biocatalytic flow reactors and related products. Responsibilities include building computational frameworks, drafting research publications, presenting findings at conferences, and collaborating with a multidisciplinary team. This 18-month full-time position offers career development support in a collaborative, team-oriented environment.
What you'll do
- Develop and advance computational frameworks to describe and model biocatalytic flow reactors
- Design and apply optimisation techniques to determine new product geometrical configurations
- Collaborate with interdisciplinary researchers across engineering, catalysis, optimisation, and computational modelling
- Contribute to drafting research manuscripts for peer-reviewed academic publications
- Present research findings at national and international academic conferences
- Liaise with project partners and external collaborators to ensure project milestones are met
Requirements
Degree required: PhD in engineering, physics or a related discipline (or about to complete)
Language: English
Instruction: English
- Demonstrable ability to use scientific programming languages and packages such as Python or MATLAB
- Strong background in computational modelling, optimisation, or related engineering techniques
- Ability to work effectively in an interdisciplinary team environment
- Good interpersonal and communication skills with the ability to meet tight deadlines
- Must have or be about to complete a PhD in engineering, physics or a related discipline
- Must have the relevant permission to work in the UK as set out by UK Visas and Immigration
Funding & terms
How to apply
Deadline: 2026-10-30
Submit your application through the official University of Nottingham online job portal. Include a comprehensive CV and a cover letter that clearly demonstrates how you meet the selection criteria and outlines your motivation for applying.
- CV
- Cover letter
Contact
Ricky Wildman· Professor
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