Battery AI & Modelling Research Fellow

Coventry University Group; Coventry; On-site; GBP 36,000 - 48,000; Full time

Benefits offered by this job

Pension scheme

30 days leave + bank holidays

Holiday purchase scheme

Life Assurance 4x Salary

BUPA Cash Plan

Staff tuition discounts

CU Reward Scheme

Cycle To Work

Job summary

Coventry University invites applications for a Research Fellow to join an industry-led project on battery intelligence for energy storage systems. The role focuses on battery testing, modelling, and AI-based state estimation, with practical validation against laboratory measurements and real‑world data.

You will work within a multidisciplinary team, contribute to experimental investigations, algorithm development, and dissemination of results.

Qualifications

• PhD in Electrical, Electronic, Control Engineering, Computer Science, Energy Systems or related field.
• Expertise in lithium‑ion batteries and BMS is essential.
• Strong research record with publications and multidisciplinary collaboration.

Responsibilities

• Conduct experimental investigations and data collection for battery assessment.
• Develop battery modelling methods and AI‑enabled state estimation algorithms.
• Implement algorithms and validate outcomes using lab measurements and real‑world data.

Skills

Lithium-ion batteries

BMS (Battery Management System)

Research publications

Cross-disciplinary collaboration

Proposal development

Education

PhD in a related field

Master's degree in a relevant field

Bachelor's degree with equivalent experience

Job description

Coventry University invites applications for a Research Fellow to join an industry-led project on battery intelligence for energy storage systems. The role focuses on battery testing, modelling, and AI-based state estimation, with practical validation against laboratory measurements and real‑world data.

You will work within a multidisciplinary team, contribute to experimental investigations, algorithm development, and dissemination of results.