The University of Nottingham is inviting applications for the position of Research Associate/Fellow in Optimisation for 3D Printing within the Faculty of Engineering. This 18-month fixed-term post is funded by the EPSRC Programme Grant titled “Dialling Up Performance for On Demand Manufacturing.” The successful candidate will play a pivotal role in developing computational tools and design optimisation frameworks to advance the capabilities of 3D-printed biocatalytic flow reactors and related advanced products.
Quick Overview
| Designation | Research Associate / Research Fellow |
|---|---|
| Research Area | Additive Manufacturing (3D Printing), Optimisation, Computational Modelling, Flow Reactors |
| Institution | University of Nottingham |
| Location | Nottingham, United Kingdom |
| Tenure | Fixed-term (18 Months, Full-time) |
| Application Status | Open |
Designation
Research Associate / Research Fellow in Optimisation for 3D Printing (Fixed-term, 36.25 hours per week with flexible working options).
Research Area
Engineering, Physics, Computational Modelling, Mathematical Optimisation, Additive Manufacturing / 3D Printing, Biocatalytic Flow Chemistry.
Location
Faculty of Engineering, University of Nottingham, Nottingham, United Kingdom.
Eligibility & Qualifications
Candidates must meet the following essential and desirable criteria:
- Education: Hold (or be close to completing) a PhD in Engineering, Physics, Applied Mathematics, or a closely related scientific discipline.
- Technical Competence: Demonstrable proficiency in scientific programming languages and packages such as Python or MATLAB (essential).
- Domain Knowledge: Prior exposure to or working knowledge of 3D printing techniques and design optimisation frameworks (desirable).
- Soft Skills: Strong interpersonal and communication skills, with a proven ability to work collaboratively in multidisciplinary teams under deadline-driven environments.
- Motivation: Demonstrated interest in developing research independence and contributing to academic publications and presentations.
Job Description & Key Responsibilities
The appointed researcher will contribute directly to the development of an integrated “TOOLKIT” designed to facilitate the rapid formulation and manufacture of 3D-printable materials. Key tasks include:
- Developing and enhancing computational frameworks describing biocatalytic flow reactors to enable automated design optimisation.
- Utilising algorithmic and mathematical optimisation approaches to identify innovative geometrical configurations suitable for manufacturing.
- Collaborating closely with an interdisciplinary team across engineering, catalysis, optimization, and computer modelling.
- Drafting and submitting high-impact research articles for peer-reviewed journals.
- Presenting project outcomes and research developments at national and international conferences.
- Liaising with institutional and industrial collaborators to integrate computational methods into experimental workflows.
How to Apply
Interested candidates should submit their application online through the University of Nottingham official vacancy portal. The application must include:
- An up-to-date Curriculum Vitae (CV).
- A detailed Cover Letter clearly articulating how your skills, background, and experience meet the role requirements outlined above, along with your motivation for the post.
Note: Informal enquiries can be directed to Prof Ricky Wildman via email at ricky.wildman@nottingham.ac.uk. Please do not send formal job applications directly to this email address, as only applications submitted through the recruitment portal will be considered.
Last Date for Apply
Applications should be submitted as early as possible. The position is available to commence from 1st November 2026 (or as soon as possible thereafter). Check the official portal listing (Reference: ENG0484726) for the finalized closing deadline.
Apply Link
To view the full role profile and submit your formal application, visit:
Apply Online – University of Nottingham Vacancy ENG0484726
