The University of Glasgow invites applications for a Research Fellow in Applied AI for the Energy Transition in the James Watt School of Engineering, Glasgow. You will work on physics-informed machine learning to advance subsurface characterisation for offshore renewable energy and net-zero projects.
Applicants from machine learning, AI, computer science, statistics, data science, engineering, or applied mathematics are welcome.
Applied AI Research Fellow - Subsurface & Net-Zero Energy in Glasgow employer: UK Energy Research Centre
Join a leading global university renowned for its commitment to sustainability, where you will play a vital role in managing utilities and driving environmental performance. Our supportive work culture fosters professional growth, offering opportunities to develop your skills in energy management while contributing to meaningful sustainability initiatives. With a focus on collaboration and innovation, this position not only enhances your career but also allows you to make a significant impact on the university's low-carbon future.
