Research Fellow in Computational Modelling of Energy Geotechnics

Research Fellow in Computational Modelling of Energy Geotechnics

University of Surrey

Location:

Location:

Surrey

Hours:

Hours:

Full Time

Contract Type:

Contract Type:
Fixed-Term/Contract

Placed On:

Placed On: 28th August 2026

Closes:

Closes: 7th September 2026

The role

We are looking for an enthusiastic and highly motivated researcher to join an EPSRC-funded UKRI-Norway project on
Energy Micropile Retrofits for Climate Change Adaptation of Existing Buildings
. This is an exciting opportunity to contribute to research at the interface of
computational geotechnics, data-centric methods, sustainable infrastructure, low-carbon energy systems, and climate-change adaptation
.

The project aims to develop and validate energy micropile retrofit solutions that can support the decarbonisation of existing buildings by combining structural foundation performance with renewable thermal energy exchange. Based within the University of Surrey's School of Engineering, the successful candidate will lead the project's computational modelling strand, developing complex numerical models and validating them against datasets generated by collaborators. The candidate will use surrogate modelling and data-centric approaches to complement simulations, incorporating uncertainty to evaluate system resilience, and developing useful tools that will enable industry to adopt energy micropiles as a dual structural–energy retrofit solution.

This research will be performed in close collaboration with colleagues at the University of Surrey and with project partners at the Universities of Leeds, Cambridge and NTNU, as well as relevant industrial collaborators. The role offers the opportunity to undertake cutting-edge computational research, contribute to high-impact publications, and engage with a multidisciplinary consortium addressing an important challenge in sustainable infrastructure.

About you

The successful candidate will have a
PhD, or be near completion of a PhD, in Geotechnical Engineering, Civil Engineering, Mechanical Engineering, Geo-energy, Energy Systems, Computational Mechanics or a related discipline
. You will have experience with numerical modelling and/or data-centric methods and a keen interest in applying these to energy and infrastructure challenges.

You should be able to demonstrate experience in numerical modelling of coupled thermal, hydraulic and/or mechanical processes, alongside strong scientific programming, data-handling and analytical skills. Experience in probabilistic analysis and uncertainty quantification within an engineering context, a track record of high-quality peer-reviewed research, and the ability to work independently and collaboratively are also essential, together with strong communication and problem-solving skills and a willingness to travel occasionally within the UK and internationally.