Research Associate/Fellow on Digital Twinning (Fixed-Term) (ENG245025)

Karlstad University; Nottingham; On-site; GBP 30,000 - 40,000; Full time

Job summary

A leading research institution in the UK is seeking a Research Associate/Fellow to work on innovative electric propulsion systems for future green aircraft. The successful candidate should have a PhD in Electrical Engineering or a related field, and strong expertise in power electronics and machine learning. This is a full-time, fixed-term position for 12 months with a closing date for applications on 22 Nov 2025.

Qualifications

• Conduct research in electric propulsion systems for green aircraft.
• Support delivery of EU‑funded projects.
• Good research methodology and communication skills.

Responsibilities

• Design, model and simulate propulsion drive systems.
• Liaise with industrial partners and prepare reports.
• Disseminate research through publications and presentations.

Skills

Power electronics principles

Data-driven machine learning algorithms

Control and optimisation algorithms

Education

PhD in Electrical and Electronic Engineering or closely related topic

Job description

Research Associate/Fellow on Digital Twinning (Fixed-Term) (ENG245025)

We are a pioneering institution that provides an exceptional research‑led education for 45,000 students from over 150 countries.

Applications are invited for the above research position to join the Power Electronics, Machines and Drives Research Group at the University of Nottingham. The PEMC group has undergone a significant period of growth and now has over 150 members, with 18 academics (including 7 full professors) and approximately 120 PhD students and post‑doctoral research fellows. The group has excellent facilities for experimental work including approximately 2500m2 of research space and a construction and testing capability up to 5MW.

The successful candidate will conduct research in innovative electric propulsion systems for future de‑carbonised, green aircraft and will support delivery of one of our new flagship EU‑funded projects. In particular, the role holder will work in the areas of design, modelling and simulation, optimisation, development and laboratory testing of future aircraft electric propulsion drive systems.

Candidates should hold or be shortly due to obtain a PhD in Electrical and Electronic Engineering, Control Engineering, Computer Science or a very closely related topic. The following expertise is required:

• Strong understanding of power electronics principles
• Excellent knowledge of data‑driven machine learning algorithms and experience in using these algorithms for electrical engineering problems
• Excellent knowledge of control and optimisation algorithms with implementation to power electronics design experience

Good research methodology, communication skills and the ability to work in a team are essential. The successful candidate will be expected to liaise with industrial partners, prepare and present reports and disseminate results of their work through academic publications and presentations.

This is a full‑time post and will be offered on an initial fixed‑term contract for a period of 12 months.

Applications: please click “apply now” and provide a copy of your CV and Cover Letter.

Informal enquiries may be addressed to Prof. Tao Yang ([e-mail]). Please note that applications sent directly to this email address will not be accepted.

Closing Date: 22 Nov 2025

Category: Research and Teaching (R&T)