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Fully Funded PhD: Modelling Integrated Energy Systems

The UK Energy Research Centre

Leeds

On-site

GBP 40,000 - 60,000

Full time

Today
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Job summary

A leading energy research institution in Leeds is offering a fully funded PhD opportunity focusing on integrated energy systems and their role in achieving global net zero emissions. Candidates will conduct cutting-edge research involving modelling, simulation, and optimisation of energy systems. Requirements include a strong academic background in relevant disciplines alongside programming competencies. The position aims to innovate sustainable strategies for energy management and decarbonisation in complex systems.

Qualifications

  • Strong passion for energy system related studies.
  • Demonstrated capability for academic writing and a record of peer‑reviewed publications.
  • Ability to work both independently and collaboratively in a multidisciplinary team.
  • Excellent problem‑solving and analytical skills for complex energy challenges.

Responsibilities

  • Conduct holistic modelling and analysis of integrated energy systems.
  • Reach optimal system performance incorporating sustainable energy infrastructures.
  • Research topics include energy management and decarbonisation.

Skills

Research-driven and self-motivated
Proficiency in English
Competency in computer programming (e.g., Python, MATLAB)
Energy system modelling expertise

Education

First class or upper second class British Bachelors Honours degree (or equivalent)

Tools

Python
MATLAB
Job description
A leading energy research institution in Leeds is offering a fully funded PhD opportunity focusing on integrated energy systems and their role in achieving global net zero emissions. Candidates will conduct cutting-edge research involving modelling, simulation, and optimisation of energy systems. Requirements include a strong academic background in relevant disciplines alongside programming competencies. The position aims to innovate sustainable strategies for energy management and decarbonisation in complex systems.
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