PhD Position: Physics-Informed Generative AI for Synthetic Energy Data at Radboud University, Netherlands
📋 About This Opportunity
SummaryRadboud University is offering a PhD position within the NWO-funded SHARE project to develop advanced AI models for generating realistic, privacy-preserving synthetic energy data. This crucial research aims to address the challenges of data availability for grid planning and decision-making in the energy This opportunity was collected by Gabeshana from ResearchersJob. Organization: ResearchersJob. Please visit the original source for complete eligibility requirements, official notification, application instructions and the latest information.
🎯 Eligibility
/QualificationRequired Qualifications:MSc degree (or expected before start date) in Computer Science, Artificial Intelligence, Data Science, Applied Mathematics, Physics, Electrical Engineering, or a related field.Solid background in machine learning.Good programming skills in Python and experience with a deep learning framework (e.g., PyTorch).Enjoyment of interdisciplinary work.Good command of spoken and written English.Strong Plus:Experience with deep generative models (VAEs, GANs, diffusion models) or probabilistic modelling.Note:Prior knowledge of energy systems is not required; domain context will be provided.Scholarship Description The PhD candidate will be a core contributor to Work