Fully Funded PhD: AI-Driven Energy Systems for Net Zero

University of Nottingham; Nottingham; On-site; GBP 20,000 - 24,000; Full time

Job summary

The University of Nottingham invites applications for a fully funded PhD project that aims to develop and evaluate a novel hybrid energy system. The work combines thermodynamic modelling, transient simulation, techno-economic assessment, life cycle analysis, and AI-driven optimisation to support the UK's net-zero ambitions.

The successful candidate will work within the Net2Zero Centre for Doctoral Training under a supervisory team from the University of Nottingham, collaborating with Aston

Qualifications

• First-class or strong 2:1 degree in Chemical Engineering, Mechanical Engineering, Energy Engineering, Process Engineering, or related.

Responsibilities

• Develop thermodynamic models of integrated hybrid energy systems.

Skills

Thermodynamics

Energy systems

Process modelling

Programming

Education

First‑Class or strong 2:1 degree in Chemical Engineering, Mechanical Engineering, Energy Engineering, Process Engineering, or related

Tools

MATLAB

Python

Aspen Plus

TRNSYS

EES

Job description

The University of Nottingham invites applications for a fully funded PhD project that aims to develop and evaluate a novel hybrid energy system. The work combines thermodynamic modelling, transient simulation, techno-economic assessment, life cycle analysis, and AI-driven optimisation to support the UK's net-zero ambitions.

The successful candidate will work within the Net2Zero Centre for Doctoral Training under a supervisory team from the University of Nottingham, collaborating with Aston