PhD in Battery Safety & Sustainable Modelling

PhD in Battery Safety & Sustainable Modelling

Full-Time 19350 - 23650 Β£ / year (est.) No working from home possible
Technical University of Denmark

At a Glance

  • Tasks: Conduct research on battery safety and sustainability using advanced modelling techniques.
  • Company: University of Birmingham, a leader in energy materials research.
  • Benefits: Fully funded PhD for four years with dedicated training opportunities.
  • Other info: Collaborative environment with a focus on real-world impact.
  • Why this job: Join the fight for a low-carbon future while advancing your academic career.
  • Qualifications: Must have UK home fee status and a passion for energy research.

The predicted salary is between 19350 - 23650 Β£ per year.

This Ph D opportunity in the Energy Materials Group at the University of Birmingham offers the chance to contribute to research supporting the transition to a low-carbon future.

It focuses on predicting battery behaviour during inactivity and improving safety-related ageing models using Py Ba MM.

Funding is available for four years for home students; UK home fee status is required.

The project explores environmental impacts and safety risks associated with disused batteries, with dedicated training

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PhD in Battery Safety & Sustainable Modelling employer: Technical University of Denmark

The University is an exceptional employer, offering a supportive and collaborative work environment that prioritises employee well-being and professional growth. With the flexibility of hybrid working and generous leave entitlements, including 36 days off, staff are encouraged to maintain a healthy work-life balance while contributing to the academic success of students in the Faculty of History.

Technical University of Denmark

Contact Details:

Technical University of Denmark Recruitment Team

We think you need these skills to ace PhD in Battery Safety & Sustainable Modelling

Research Skills
Battery Modelling
Safety Analysis
Environmental Impact Assessment
Data Prediction
PyBaMM
Ageing Models