Fully funded PhD in Artificial Intelligence for Photovoltaics Australian National University in Australia

Postdoctoral Fellow in AI and Machine Learning for Photovoltaics at the University of New South Wales (Sydney, Australia) The School of Photovoltaic and Renewable Energy Engineering (SPREE) at UNSW is recruiting a postdoctoral fellow to work on artificial intelligence (AI), machine learning (ML), and data-driven methods for emerging thin-film and tandem photovoltaic technologies. The role involves developing predictive and physics-informed models, analysing experimental and operational datasets,...

PhD position available at Forschungszentrum Jülich in Germany on hybrid electronic/photonic integrated neuromorphic computing systems for large-scale machine learning . This opportunity is aimed at candidates interested in computer science , electrical engineering , physics , and related hardware-oriented research areas. The project focuses on next-generation computing architectures that combine electronic and photonic integration for neuromorphic and machine-learning applications. No supervisor...

The ACDC Research Group at the University of New South Wales (UNSW Sydney) is inviting applications for a fully funded PhD position in photovoltaics and solar energy research. The project area spans advanced photovoltaic research, including solar cell characterisation, defects, contacts, imaging, PV systems, and AI/ML applications for photovoltaics. Example topics include novel tandem characterisation techniques, machine learning for luminescence and thermal imaging, and machine learning for uti...

🚨 CIFRE PhD opportunity at STMicroelectronics France in Crolles, with academic collaboration. The project is focused on AI for semiconductor modeling, specifically the automatic generation of SPICE models using artificial intelligence. This is a research opportunity at the intersection of machine learning, physics-aware modeling, device simulation, and interpretable equations for SPICE. Ideal candidates should have a strong background in machine learning, deep learning, and Python. Interest in s...

CSIRO Industry PhD opportunity in Physics-Informed and Explainable AI for Water Security : Uncertainty-Aware Modelling from Multisource Environmental Observations . This PhD project combines environmental modelling , machine learning , data science , hydrology , remote sensing , and statistics to build AI methods for water-security applications. The work uses diverse environmental observations, including in-situ water-quality measurements, flow data, hyperspectral reflectance, and satellite imag...