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Senior Research Associate: Physical and Data-driven Modelling in Battery Research

Engineering
Salary:   £34,804 to £40,322
Closing Date:   Thursday 12 September 2019
Interview Date:   To be confirmed
Reference:  A2793

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.

The ability to work in a multidisciplinary research environment and liaise with partners across multiple institutions is essential to this post. 

Surrounded by three national parks and the Irish Sea, Lancaster is a great place to work and live. We are committed to family-friendly and flexible working policies on an individual basis, as well as the Athena SWAN Charter, which recognises and celebrates good employment practice undertaken to address equality issues in higher education and research. 

This is a fixed term appointment to 28 February 2021.

Informal enquiries to Dr Denes Csala d.csala@lancaster.ac.uk or Professor Harry Hoster, Director of Energy Lancaster h.hoster@lancaster.ac.uk

We welcome applications from people in all diversity groups.



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