Avleen Kaur Malhi

PhD position at Tallinn University of Technology (TalTech) in advanced AI-based forecasting models for renewable energy integration . The project focuses on developing next-generation forecasting methods for renewable energy production, especially solar and wind , to improve power-system planning, grid stability, and operational efficiency. Research topics include machine learning , deep learning , time-series analysis , probabilistic modeling , uncertainty quantification , weather-integrated forecasting , and edge-deployable AI . The work mentions architectures such as GNNs , CNN-LSTM , and Transformers , plus explainable and real-time models for energy systems. Applicants should have a Master’s degree in electrical engineering , computer science , or a related field, along with strong programming and analytics skills. A good command of English is required (at least CEFR C1 ). Experience with PyTorch , TensorFlow , MATLAB , Python , R , Graph Neural Networks, probabilistic modeling, or edge/distributed AI is listed as beneficial. The position is a 4-year PhD opportunity. The post highlights opportunities for conference visits, research stays, and networking, but does not specify a stipend or tuition details. The application window is 18 June 2026 to 18 July 2026 , and the deadline is 2026-07-18 . Supervisors listed are Dr. Avleen Malhi (main supervisor) and Noman Shabbir (co-supervisor), both affiliated with TalTech / the FinEst Centre for Smart Cities and the Office of the Vice-Rector for Research.