Postdoc in GPU-Accelerated Battery Thermal Runaway Simulation (COMPEL) at Lund University

Job Description

Lund University’s Division of Heat Transfer is hiring a postdoc to build GPU-accelerated thermal runaway simulations for lithium-ion battery cells, modules and packs, within the Swedish government’s COMPEL initiative on battery technology and electrification and in collaboration with Scania Industrial Battery Systems. Thermal runaway is a chain reaction that can release a cell’s stored energy uncontrollably and cause fires, and the project develops next-generation OpenFOAM methods on modern GPU architectures to predict how it starts and spreads.

At a glance

• Position: Postdoctoral fellow (1 post), full time
• Where: Division of Heat Transfer, Department of Energy Sciences, Faculty of Engineering (LTH), Lund
• Contacts: Martin Andersson, martin.andersson@energy.lth.se; Christer Fureby, christer.fureby@energy.lth.se
• Reference: PA2026/2624
• Apply by: 11 October 2026
• Apply: 11 October 2026

About the thermal runaway postdoc

• Develop and implement GPU-accelerated thermal runaway models and numerical methods in OpenFOAM
• Design high-performance frameworks for reacting-flow and battery-safety simulation on GPUs
• Couple cell-level models to module, pack and system-level simulations
• Publish in leading journals and conferences, and work with Scania and COMPEL partners
• Contribute to funding applications and supervise doctoral and master’s projects

How Lund postdocs work

A postdoc at Lund University is a career-development post focused on research, normally for applicants whose PhD is no more than three years old at the time of the employment decision. Teaching can take up to 20% of working time, and the post includes three weeks of training in university teaching.

What Lund University is looking for

• A PhD in the subject of the position; priority to candidates who graduated within three years of the deadline
• Very good spoken and written English
• Documented experience of programming and/or energy system modelling

Nice to have

• Developing and optimising scientific software for GPUs, with CUDA, HIP, SYCL, OpenACC or similar
• Porting CPU-based CFD or multiphysics codes to heterogeneous HPC systems
• Profiling and optimising parallel code with tools such as NVIDIA Nsight or rocProfiler
• Parallel programming with MPI and OpenMP

Pay and location

Lund’s advert does not state a salary; the start date is by agreement.

How to apply

Apply through the official Lund University page. The closing date is 11 October 2026.

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