Description Join a cutting-edge project at the Power Electronics, Machines and Control (PEMC) Research Institute exploring how artificial intelligence can revolutionise power converter control in renewable energy systems. This internship will focus on developing and validating AI-driven model predictive controllers for smart grids and green energy technologies. Ideal for students passionate about AI, electronics, and sustainability. Start Date: 23rd June 2025 End Date: 10 weeks from start date Working Hours: Full time (approx. 36.25 hours/week) Location: Power Electronics, Machines and Control (PEMC) Research Institute, Jubilee Campus, University of Nottingham Dress Code: Casual The duties will include: - Reviewing cutting-edge literature on AI-based predictive control. - Designing and implementing an AI-enhanced MPC algorithms. - Benchmarking performance against traditional control strategies. - Running simulations and Hardware-in-the-Loop (HiL) tests. - Documenting results and contributing to future funding proposals and publications. Skills and experience required for the role: - Strong understanding of control systems and/or machine learning. - Familiarity with MATLAB/Simulink and programming languages (e.g., Python, C/C++). - Interest in renewable energy, smart grids, or power electronics. - Ability to work independently and as part of a team. What you can expect to gain during this role: - Experience developing advanced AI and control algorithms. - Exposure to industrial-grade HiL systems and experimental validation. - Insights into real-world challenges of integrating AI into green energy systems. - Skills that support future academic or industry careers in AI, energy, and electronics. Application Instructions: Application Deadline: 15th May 2025 The Careers and Employability Service supports student and alumni to make choices about their future after their studies. To support you every step of the way, the team can help you to: ace the recruitment process providing advice on CV writing and interview preparation. explore a wide range of careers areas through web resources and sector events. connect with employers with vacancies through careers fairs. generate career ideas if you're not sure what you want to do. develop the skills you need to be successful in the workplace. Go to the Careers and Employability Service website to find out more. Our University is a supportive, inclusive, caring and positive community. We warmly welcome those of different cultures, ethnicities and beliefs – indeed this very diversity is vital to our success, it is fundamental to our values and enriches life on campus. We welcome applications from UK, Europe and from across the globe. Further information: The University of Nottingham will ask you whether you have any unspent criminal convictions as part of our pre-assignment checks. If the position you are applying for is ‘exempt’ from the Rehabilitation of Offenders Act 1974 you will be asked to confirm both spent and unspent convictions at the point of offer. Examples of such posts include clinical, medical and allied health roles, roles involving childcare services. A DBS check may also be required. The University will only use information relating to criminal convictions where the law allows us to do so in line with our Data Protection Policy. Personal data relating to criminal convictions will be retained confidentially and securely and access to that data will be strictly controlled. More information relating to the manner in which we process your personal data is located within our privacy notice for staff, job applicants and others working at the University. Information about your rights relating to the use of your personal data can be found within our website privacy notice. What Next: To apply for this vacancy please click ‘Apply Now’ to complete your details. Please contact JobZone@nottingham.ac.uk for further information. Please note that applications sent directly to this email address will not be accepted.