Research Fellow: AI Battery State Estimation for BESS

Coventry University Group

Coventry

Presencial

GBP 40.000 - 60.000

Jornada completa

Hace 4 días
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Ventajas ofrecidas por este puesto de trabajo

Excellent pension contribution
30 days annual leave + bank holidays
Life assurance 4x salary
Staff tuition discount
Cycle to work scheme

Descripción de la vacante

Coventry University Group invites applications for a Research Fellow to join an industry-led project on battery intelligence for BESSs. You will focus on battery testing, data analysis, modelling, and AI-enabled state estimation, contributing to experimental investigations and algorithm development.

The project is fully funded by Innovate UK for 12 months from February 1, 2027. Based at Coventry University, you will work with two industry partners to address practical challenges in battery

Formación

  • PhD in Electrical/Electronic/Control/CS/Energy/Applied Mathematics or equivalent.
  • Expertise in lithium-ion batteries, BMS, and battery ageing.
  • Strong research track record with publications and cross-disciplinary collaboration.
  • Experience developing research proposals and managing projects.
  • Knowledge of regulatory compliance is essential.

Responsabilidades

  • Conduct battery testing, data analysis, modelling, and AI-enabled state estimation development.
  • Develop and implement state estimation algorithms for battery systems.
  • Validate research outcomes using laboratory measurements and real-world data.
  • Collaborate with industry partners and multidisciplinary teams.

Conocimientos

Research skills
Cross-disciplinary collaboration
Proposal development

Educación

PhD in Electrical/ Electronics/ Control/ CS/ Energy/ Applied Math or related
Related degree with equivalent research/industrial experience

Descripción del empleo

Coventry University Group invites applications for a Research Fellow to join an industry-led project on battery intelligence for BESSs. You will focus on battery testing, data analysis, modelling, and AI-enabled state estimation, contributing to experimental investigations and algorithm development.

The project is fully funded by Innovate UK for 12 months from February 1, 2027. Based at Coventry University, you will work with two industry partners to address practical challenges in battery

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