Research Associate/Fellow in 3D Printing Machine Learning
Develop machine learning tools and software platforms to predict and automate 3D printing outcomes.
Best for:Best for researchers with a PhD in engineering or data science and strong computational modeling skills.
Overview
The University of Nottingham is seeking a Research Associate or Fellow for an 18-month fixed-term position within the Faculty of Engineering. Working as part of the EPSRC Programme Grant 'Dialling Up Performance for On Demand Manufacturing', the successful candidate will focus on developing machine learning and computational tools to model 3D printing workflows. Responsibilities include gathering experimental data, building screening and analytical tools, and collaborating with partner institutions to create an open-source manufacturing platform. Candidates will receive dedicated support to foster research independence and career growth.
What you'll do
- Develop and apply machine learning algorithms and computational tools to predict 3D printing outcomes.
- Collect, curate, and analyze experimental and simulation data to inform toolkit development.
- Design automated computational screening tools and decision-support analytical methods.
- Collaborate with interdisciplinary research teams across Nottingham, Strathclyde, and Loughborough.
- Contribute to academic publications and present research findings at national and international conferences.
- Help build and maintain an open-source platform for automating manufacturing workflows.
Requirements
Degree required: PhD in engineering, data science, or equivalent degree
Language: English
Instruction: English
- Demonstrated programming experience in scientific languages and packages
- Ability to develop machine learning or computational models
- Strong interpersonal skills with proven capability to work collaboratively in a team
- Track record of meeting strict project deadlines
- Applicants must have or be about to complete a relevant PhD
- Must have the relevant permission to work in the UK as set out by UK Visas & Immigration
Funding & terms
How to apply
Deadline: 2026-11-01
Prepare an updated CV and cover letter outlining your motivation and how you meet the selection criteria. Submit your complete application through the official University of Nottingham online job portal before the deadline. Informal inquiries may be directed to Prof Ricky Wildman via email, though direct email applications will not be accepted.
- CV
- Cover letter
Contact
Ricky Wildman· Professor
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