Research Fellow in

Advanced Machine Learning for Energy Systems

Join NTU-GridLab and work on cutting-edge topics on Machine Learning application in Energy Systems!
We are part of the global efforts for creating cleaner air for all.
Make a difference by joining us on this journey...

Salary range: Grade G (£31,607 - £36,371 p.a. pro rata)
Full-Time Fixed-Term for 1 year

About the Role

We are looking for a Research Fellow to join our NTU-GridLab team to work on Advanced Machine Learning techniques in the area of Energy Systems with a specific focus on local energy communities encompassing storage systems (mobile and stationary). As a member of our team, you will be responsible for developing innovative algorithms and techniques at the intersection of Advanced Machine Learning techniques and their application to the integration of Energy Systems and energy forecasting. This position requires expertise in Advanced Machine Learning algorithms, advanced reinforcement learning, collaborative Machine Learning, and data-driven predictive modeling, analysis, and decision making. We are seeking candidates with a degree in computer science, electrical or mechanical engineering, applied mathematics, economics, or a related engineering-oriented discipline, as well as proven research experience and interests aligned with the aforementioned fields. You must be proficient in programming languages such as Python and have experience with relevant libraries and frameworks like TensorFlow and PyTorch. Furthermore, the candidate should demonstrate expertise in the application of Machine Learning techniques to Energy Systems through publications or projects. Applicants should possess a passion for research and knowledge transfer, possess a practical mindset for developing innovative solutions, work effectively independently and collaboratively, demonstrate analytical and conceptual thinking skills, and have a proficient command of English. This is an exciting externally funded position within NTU-GridLab.

For more details, please take a look at the attached Job Description & Person Specification. 

We'll still consider applications even if you don't meet every single one of the requirements, so don't be put off if you don't match them perfectly.

Interviews are planned to be on week commencing 29th April 2024

About Us

The School of Science and Technology at Nottingham Trent University (NTU) is an exciting multidisciplinary environment for learning, teaching and research, with some of the best facilities in the UK.

We pride ourselves on delivering high-quality teaching and diverse, real-world research. We specialise in biosciences, chemistry, computing and technology, as well as engineering, forensic science, mathematics, physics and sport science. This mix of traditional and modern subjects encourages and inspires future innovators.

For any informal queries about the role or the team, please contact Dr Vahid Vahidinasab (Director of NTU-GridLab and Associate Professor of Power and Energy Systems) via vahid.vahidinasab@ntu.ac.uk.

Join Us

• Between 30 and 35 days annual leave per year (dependent on grade) plus statutory bank holidays and 5 university closure days pro rata 
• Hybrid working - we encourage and offer a mixture of office working and working from home.  You're empowered to define how you work best for the benefits of your stakeholders.
• Flexibility - take ownership over how you get your work done.  We're open to different working patterns and approaches.
• Salary Sacrifice Retirement Savings Plan with life assurance and income protection. Available to colleagues who choose to opt out of the contractual pension scheme. Minimum colleague contributions of 0% matched with minimum NTU contributions of 8%.
• Access to a wealth of formal and informal professional development opportunities to develop your skills and advance your career.
• Range of health and wellbeing services, voluntary benefits, discounts, and savings for all colleagues. Find out more about the range of benefits we offer at  Benefits | Nottingham Trent University
• And a whole lot more…

Come and be part of our success.  Apply today.

Safe and Inclusive

At NTU, we continue to build an inclusive culture that encourages, supports and celebrates the diverse voices and experiences of our students and colleagues. We welcome the unique contributions that you can bring and we encourage people from underrepresented communities and backgrounds to apply to join our team.

Applications from job seekers who require sponsorship to work in the UK are welcome and will be considered alongside all other applications.

Whilst this role is currently eligible for sponsorship under the Skilled Worker Route, upcoming immigration rules changes may impact on eligibility for sponsorship, we recommend that you assess your eligibility before applying for this position. Visit https://www.gov.uk/skilled-worker-visa for more information.

This role is covered by the Rehabilitation of Offenders Act (1974) and successful applicants will be asked to declare any unspent criminal convictions.