Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Join a cutting-edge research team focusing on wind energy and AI for sustainable power systems.
- Company: University of Warwick, a top-ranked research university with a vibrant academic community.
- Benefits: Competitive salary, generous holiday, pension scheme, and onsite childcare facilities.
- Other info: Opportunity for industry secondments and excellent career growth in a dynamic environment.
- Why this job: Make a real impact in renewable energy while developing your research career.
- Qualifications: Good honours degree in relevant fields and strong communication skills required.
The predicted salary is between 48542 - 57710 £ per year.
Location: University of Warwick Campus, Coventry
Department: School of Engineering
Position Type: Fixed Term
Duration: 3 Year Fixed Term Contract, finishing no later than 31st January 2030
Salary: £48,542.72 to £57,710.28 per annum
About the Role:
3 full-time positions (36.5 hrs/week) – Fixed Term positions for 36 months (3 years) each. Starting the 1 October 2026 or as soon as possible thereafter (preferably no later than 1 February 2027). Salary for this position will vary depending on entitlement of family allowance and enrolment in the pension scheme. The mobility allowance is automatically included as part of the salary which currently is £493.91 per month.
The School of Engineering is looking to appoint three full-time Marie Skłodowska‑Curie Doctoral Researchers. Two posts will focus on modelling, stability, and control of grid‑forming technologies in wind power systems, while a third post will focus on AI‑based energy management for wind farm‑hydrogen hybrid systems. The post holders will have the opportunity to undertake secondments with industry partners. The posts are funded by the MSCA Doctoral Network project WindConnect.
The WindConnect project (Wind Farm Control and Integration in Sector‑Coupled Power Systems), led by the University of Warwick, aims to train the next generation of researchers to address key challenges in integrating large‑scale wind energy into modern power systems. The programme focuses on grid‑forming technologies, AI‑driven optimisation, and the integration of wind power and green hydrogen within sector‑coupled energy systems. The consortium brings together 15 Marie Skłodowska‑Curie Doctoral Researchers across 8 leading academic institutions in 6 European countries, supported by 12 major industrial partners including Vestas, Ørsted, GE, 50Hertz, NESO, and SSE.
Through a combination of cutting‑edge research and comprehensive technical, entrepreneurial, and transferable skills training, WindConnect equips researchers to drive innovation and support Europe’s transition to a sustainable, decarbonised energy system.
About You:
It is essential that you have a good honours degree in the fields of Control Engineering, Machine Learning, Data Science, Electrical Engineering or Mechanical Engineering. You should have a developing research profile with the ability to publish high‑quality research output. You should have excellent IT skills including demonstrable ability to use IT to write technical research papers and presentations. You are also required to be an excellent communicator with strong communication skills and evidence excellent interpersonal skills with relevant experience of working independently and as part of a team.
The successful candidate will have strong experience and/or knowledge in at least one of the following areas: control systems, data science, machine learning, renewable energy, and power systems. You will be required to meet Marie Curie Researcher eligibility criteria. As a condition of the project at the time of recruitment the researcher shall NOT have resided or carried out their main activity in the UK for more than 12 months in the 3 years immediately prior to their recruitment under the project, and you must not have been awarded a doctoral degree. Applicants must be in the first four years (full‑time equivalent research experience) of their research career and you will be registered, or demonstrate a willingness to register, for a PhD degree at the University of Warwick.
About the Department:
This post is based in the School of Engineering at the University of Warwick, within the Intelligent Control and Smart Energy Research Group, which has state‑of‑the‑art research and experimental facilities.
About the University:
We are a world‑leading research‑intensive university founded in 1965. We are ranked 74th in the world and 9th in the UK. Additionally, 92% of our research is rated world‑leading or internationally excellent.
What We Offer:
- An attractive pension scheme.
- 30 days holiday plus University Christmas closure.
- Generous parental/adoption leave policy.
- Onsite childcare facilities.
- Excellent learning and development opportunities.
Marie Skłodowska-Curie Doctoral Researcher x3 (Wind Energy, Power Systems, Artificial Intelligence f employer: University of Warwick
Contact Detail:
University of Warwick Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Marie Skłodowska-Curie Doctoral Researcher x3 (Wind Energy, Power Systems, Artificial Intelligence f
✨Tip Number 1
Network like a pro! Reach out to current researchers or alumni from the University of Warwick. They can give you insider tips and might even put in a good word for you.
✨Tip Number 2
Prepare for your interview by brushing up on your technical knowledge. Be ready to discuss your research interests and how they align with the WindConnect project. Show us your passion!
✨Tip Number 3
Don’t underestimate the power of a follow-up! After your interview, drop a quick thank-you email to express your appreciation and reiterate your enthusiasm for the role.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you’re serious about joining our team at the University of Warwick.
We think you need these skills to ace Marie Skłodowska-Curie Doctoral Researcher x3 (Wind Energy, Power Systems, Artificial Intelligence f
Some tips for your application 🫡
Tailor Your Application: Make sure to customise your CV and cover letter for the role. Highlight your relevant experience in control systems, data science, or renewable energy, and show us how you fit into the WindConnect project.
Show Off Your Skills: We want to see your excellent IT skills in action! Include examples of technical research papers or presentations you've worked on. This will help us gauge your ability to communicate complex ideas effectively.
Be Clear and Concise: When writing your application, keep it clear and to the point. Use straightforward language and avoid jargon where possible. We appreciate a well-structured application that’s easy to read!
Apply Through Our Website: Don’t forget to submit your application through our website! It’s the best way to ensure we receive all your details correctly and can process your application smoothly.
How to prepare for a job interview at University of Warwick
✨Know Your Stuff
Make sure you brush up on the key areas mentioned in the job description, like control systems, machine learning, and renewable energy. Be ready to discuss your experience and how it relates to the specific projects at the University of Warwick.
✨Showcase Your Research Skills
Prepare to talk about your research profile and any publications you've contributed to. Highlight your ability to produce high-quality research outputs, as this is crucial for a role focused on cutting-edge research.
✨Communicate Clearly
Since excellent communication skills are essential, practice explaining complex concepts in simple terms. You might be asked to present your ideas or past work, so clarity and confidence are key!
✨Ask Insightful Questions
At the end of the interview, don’t forget to ask questions! Inquire about the WindConnect project, potential secondments with industry partners, or the team dynamics. This shows your genuine interest and helps you assess if it's the right fit for you.