University of Oxford  Jobs

University of Oxford

Applications Close:

central Oxford

5 Star Employer Ranking

"Postdoctoral Research Assistant in AI-informed Material Processing and Testing"

Academic Connect
Applications Close
Is this job right for you? View Vital Job Information and Save Time

Postdoctoral Research Assistant in AI-informed Material Processing and Testing

Postdoctoral Research Assistant

4 March 2026 (midday)

Location

central Oxford

University of Oxford

Type

Full-time fixed-term (12 months)

Required Qualifications

PhD in Engineering, Physics, Chemistry, or Materials Science (or near completion)
Essential: AI modelling experience
Advantageous: AI for materials design/discovery
Advantageous: Mechanical testing & digital image correlation
Advantageous: Polymer filament extrusion for FDM 3D printing

Research Areas

AI-informed material processing
Recycled polymers & additive manufacturing
Sustainable materials
Materials testing (MT 2.0/VFM)
Protective equipment validation
71% Job Post Completeness

Our Job Post Completeness indicates how much vital information has been provided for this job listing. Academic Jobs has done the heavy lifting for you and summarized all the important aspects of this job to save you time.

Postdoctoral Research Assistant in AI-informed Material Processing and Testing

We are seeking a full-time Postdoctoral Research Assistant to work under the supervision of Professor Reece Oosterbeek and Dr Aaron Graham at the Department of Engineering Science (central Oxford), within the Solid Mechanics and Materials Engineering Group. The post is funded by the SCGC Fund for Innovation and Research in Sustainability and Technology (SCGC-FIRST) and is fixed-term for 12 months.

This opportunity allows a postdoctoral researcher to work on an industrially facing project, applying artificial intelligence (AI) methods to better inform processing to obtain high-quality engineering polymers from recycled plastic feedstock. You will utilise pre-existing modern metrological methods such as MT 2.0/VFM to obtain rich datasets from a relatively sparse set of tests on recycled polymers, using additive manufacturing. AI methods will then be applied to this large database to inform optimal processing parameters that will produce components with reliable material properties. The process will be validated in a high-demand protective equipment application. You will be responsible for manufacturing and testing of materials, and development of a model to inform material design.

You should possess a PhD in a relevant field (e.g. Engineering, Physics, Chemistry, Materials Science) or be close to completion prior to taking up the appointment. Previous experience with AI modelling is essential, and further experience in some (but not necessarily all) of the following would be advantageous: AI for materials design/discovery, mechanical testing and digital image correlation, polymer filament extrusion for FDM-based 3D printing.

You will be responsible for organising and overseeing your own research and administrative tasks, including managing small-scale project activities and coordinating multiple work streams to meet deadlines.

Informal enquiries may be addressed to Professor Oosterbeek and/or Dr Graham (email: reece.oosterbeek@eng.ox.ac.uk or aaron.graham@eng.ox.ac.uk).

For more information about working at the Department, see www.eng.ox.ac.uk/about/work-with-us/.

Only online applications received before midday on 4 March 2026 can be considered. You will be required to upload a covering letter/supporting statement, including a brief statement of research interests (describing how past experience and future plans fit with the advertised position), CV and the details of two referees as part of your online application.

The Department holds an Athena Swan Bronze award, highlighting its commitment to promoting women in Science, Engineering and Technology.

AI for materials design Materials discovery Materials testing 2.0 Additive manufacturing Sustainable materials

Tell them AcademicJobs.com sent you!

Apply Now

Frequently Asked Questions

🎓What qualifications are required for this <strong>Postdoctoral Research Assistant</strong> role?

A PhD in Engineering, Physics, Chemistry, Materials Science, or equivalent is essential (or near completion). AI modelling experience is required; advantageous skills include AI for materials design, mechanical testing, digital image correlation, and polymer extrusion for FDM 3D printing. See academic CV tips and postdoc success guide. View similar postdoc jobs.

🔬What are the main responsibilities in this <strong>AI materials processing</strong> project?

Manufacture and test materials using additive manufacturing and metrological methods like MT 2.0/VFM on recycled polymers. Develop AI models to optimize processing parameters for reliable properties. Validate in protective equipment applications. Manage research, admin, and coordinate work streams. Funded by SCGC-FIRST for sustainability. Explore AI research trends.

📝How to apply for this <strong>Oxford postdoc</strong> position?

Submit online by midday 4 March 2026: covering letter with research interests, CV, two referees. Address informal enquiries to Professor Oosterbeek or Dr Graham. Only online apps considered. Use research assistant tips (adaptable globally) and research jobs board.

📅What is the employment type and duration for this <strong>sustainable materials</strong> role?

Full-time, fixed-term 12 months, funded by SCGC-FIRST. Based in central Oxford's Engineering Science Department. No salary listed; check University of Oxford scales. Visa sponsorship not mentioned. Related: postdoc opportunities and early career funding insights.

🚀What research areas does this <strong>AI-informed material testing</strong> postdoc cover?

AI methods for recycled plastic polymers, materials testing 2.0, additive manufacturing, sustainable materials design. Industrially-focused validation for protective gear. Advantageous: digital image correlation. Read postdoc thriving guide and RA jobs for prep.

⚙️Is prior experience in <strong>3D printing polymers</strong> or <strong>mechanical testing</strong> needed?

Essential: AI modelling. Advantageous (not required): polymer filament extrusion for FDM 3D printing, mechanical testing, digital image correlation. PhD in relevant field mandatory. Build skills via RA excellence tips.
522 Jobs Found

AcademicJobs.com

New York, New York
Academic / Faculty
Add this Job Post to Favorites
Closes: Apr 20, 2026

AcademicJobs.com

New York, New York
Academic / Faculty
Add this Job Post to Favorites
Closes: Apr 19, 2026

Foothill-De Anza Community College District

12345 El Monte Rd, Los Altos Hills, CA 94022, USA
Academic / Faculty
Add this Job Post to Favorites
Closes: Apr 7, 2026

Foothill-De Anza Community College District

12345 El Monte Rd, Los Altos Hills, CA 94022, USA
Academic / Faculty
Add this Job Post to Favorites
Closes: Apr 7, 2026
View More