Research Associate​/Fellow

Salary

£32,080 to £47,389 per annum, depending on skills and experience (minimum £35,608 with relevant PhD).

Jubilee Campus, University of Nottingham.

Saturday 22 August 2026.

ENG
1828626.

We are seeking a highly motivated Research Associate/Fellow to join the Hydrogen Research Group at the University of Nottingham. The successful candidate will be part of a multidisciplinary team of scientists and engineers working on the optimisation of metal (complex) hydrides and the development of advanced solid‑state hydrogen storage and compression technologies. A key aspect of the role will be the computational discovery, design, and modelling of metal (complex) hydrides using state‑of‑the‑art atomistic and data‑driven approaches.

The Hydrogen Research Group comprises five academic staff members, eight research fellows, and eight PhD researchers. The group brings together internationally recognised expertise in both experimental and computational hydrogen materials research, spanning materials synthesis, characterisation, atomistic modelling and materials informatics. We maintain strong collaborations with industrial partners and leading research institutions worldwide, enabling impactful and translational research in hydrogen technologies. We are committed to providing a supportive, collaborative, and inclusive research environment and welcome applications from individuals with diverse backgrounds, experiences and career pathways.

You will hold, or be close to completing, a PhD (or equivalent qualification) in a relevant discipline such as Chemistry, Physics, Materials Science or a related field. You should have strong expertise in the atomistic computational modelling of solid‑state materials, with experience in density functional theory (DFT) and/or machine learning interatomic potentials. We welcome applicants with a broad range of research interests and experiences who can contribute to our multidisciplinary research programme.

Candidates should demonstrate experience in at least one of the following areas:

• Developing, implementing, or adapting Python‑based codes and workflows for training machine learning interatomic potentials for solid‑state materials.
• High‑throughput computational screening and materials discovery, including the application of machine learning methods.
• CALPHAD modelling and thermodynamic assessments.
• Phase‑field modelling of materials behaviour and evolution.

The successful candidate will be able to work effectively both independently and collaboratively, and will be enthusiastic about advancing hydrogen storage materials through innovative computational research.

• A friendly, diverse and supportive working environment.
• Generous holiday entitlement (plus bank holidays and university closure days).
• Access to training, development and career progression opportunities.
• Staff discounts, travel schemes and a wide range of additional benefits.

This is a fixed‑term position available for 2 years. Working hours are 36.25 hours per week (full‑time).

Further information is available in the role profile. To apply for this vacancy, click ‘Apply Now’ to complete your details.

Please contact Dr Sanliang Ling (Sa) if you have further questions about this role. Applications sent directly to this email address will not be accepted.

Our university is a supportive, inclusive, caring and positive community. We welcome applicants from all backgrounds and are a Disability Confident Employer (Level 2). We proudly hold the Athena Swan Gold Award and maintain a strong commitment to diversity, equity and inclusion. All applicants will be considered on an equal basis, subject to the relevant permission to work in the United Kingdom as set out by UK Visas & Immigration.