RA – Physical and Data-driven Modelling in Battery Research


£34,804 to £40,322 p.a.

The Energy Storage Group at Lancaster University is looking to employ a Senior Research Associate at the postdoctoral level. You will be working in the framework of the Faraday Institution, specifically, as a member of the “Multi Scale Modelling” (MSM) consortium. The MSM consortium, led by Imperial College and includes 8 academic partners and several industry collaborators.

You will continue the development of a platform for Visualisation and Data Management (VISDAM) as a tool for the MSM consortium and you will support the liaison between battery modellers, simulation experts and data scientists. Likewise, the role has four objectives:

1. To support and promote collaboration within the MSM consortium. You will design metadata structures and user interfaces to facilitate seam- and frictionless sharing of modelling and experimental data. Those will bridge gaps between modelling techniques and scales and will yield efficient experiment-model validation loops.

2. To visualise findings from complex modelling and experimental approaches and the underlying assumptions. This will remove communication hurdles internally and externally, thus promoting progress and impact. We call this the ‘Living Review’.

3. To provide interactive interfaces for the interaction of external stakeholders with findings of the MSM consortium. Mid-term, those interfaces will also include battery modelling, design, and planning tools. This will serve the wider research community and industry.

4. To help the Energy Storage Group at Lancaster University to develop hybrid, physics and data-driven models for battery lifetime estimation and effectively facilitate liaison between the experimental and data modelling teams.

As this position is inherently interdisciplinary, the optimal candidate will hold a PhD in Chemistry, Physics, Engineering, Computer Science, Data Science or a related discipline. We would welcome applications from battery modelers, with experience with large/complex datasets and a basic understanding of data standards and/or managing data across organisations. That could also include experience with data storage and sharing platforms (SQL, Hadoop), web-based interactive visuali­sation applications (plotly, Dash, Grafana, D3), or industry-level design tools.

Further details and apply here.