PhD Opportunities in Optimisation in Japan

These two PhD positions are part of the Dutch CO2URAGE project, which explores CO2 utilisation via reactive adsorption on intermittent green electricity . The project aims to enable competitive, defossilized chemical processes built around flexible CO2 capture and conversion systems, combining process intensification, electrification, and dynamic operation. The research is hosted at Utrecht University , within the Copernicus Institute of Sustainable Development and the Energy & Resources group ....

The Norwegian University of Science and Technology (NTNU) is seeking a PhD candidate in the Department of Energy and Process Engineering to investigate the thermal cycling of compact steam cycles, with particular emphasis on once-through steam generators (OTSGs) used in offshore and other space- and weight-constrained applications. The doctoral project, DUOP – Deeper Understanding of Once-through steam generator Operational Physics , combines advanced numerical modelling with controlled experime...

DTU Compute is offering PhD scholarships in machine learning for the optimization of cyber-physical systems . The project focuses on developing learning-based methods that can speed up analysis and improve the optimization of systems where exact solutions are too costly to compute in practice. The selected PhD student will work in the Embedded Systems Engineering section at the Technical University of Denmark and join a research environment centered on embedded, distributed, and cyber-physical s...

Research opportunity in quantum control and quantum algorithms at the Department of Electronic Systems, Aalborg University. The project sits within the Learning and Decisions Lab and is led by Professor Rafal Wisniewski, in an international environment with weekly meetings, close day-to-day supervision, and collaboration with senior researchers, PhD students, postdoctoral fellows, and international partners. The PhD is part of the QUANTA project, which studies how to view quantum programs as ope...

The Department of Engineering Science at the University of Skövde offers a creative and collaborative research environment with modern facilities, strong industrial links, and a track record of applied research and high-quality education. The successful doctoral student will join a team whose work is relevant to industry, society, and academia, and will be based in the area of information technology as defined by the university. This PhD project focuses on smart grids in the context of industria...

This PhD project is part of the Collaborative Doctoral Partnership between the Universidad de Sevilla and the European Commission’s Joint Research Centre . The doctoral candidate will work at the intersection of artificial intelligence, simulation, sustainable transport, energy systems and policy support for decarbonisation. At the Universidad de Sevilla, the student will join the Robotics and Computer Technology Laboratory (RTC) within the Architecture and Computer Technology (ATC) Department ....

This PhD scholarship at the Technical University of Denmark (DTU) , within DTU Sustain - Department of Environmental and Resource Engineering , focuses on advancing solar-driven hybrid methane production for bio-electrochemical CO2 utilization . The project sits at the intersection of environmental engineering, biotechnology, electrochemistry, and process optimization, with the aim of improving the conversion of biogenic CO2 into methane. You will work within the Water Technology and Processes (...

Linköping University is offering a PhD position in communication-efficient distributed inference within the project “Communication-Efficient Synchronization of Predictions for Distributed Intelligent Systems (CESP),” funded by the Swedish Research Council. The research aims to establish theoretical foundations for communication-efficient cooperation among distributed predictive agents. The project focuses on synchronizing predictions when agents operate with mismatched local contexts and models,...

DTU Compute is offering a PhD scholarship focused on developing machine-learning methods for faster analysis and optimization of cyber-physical systems. The project will connect learned prediction models with optimization methods to address analytical calculations and simulations that are too expensive to evaluate repeatedly within practical computing budgets. The PhD researcher will develop surrogate models for predicting outputs such as execution delays, energy use, and resource demands. Machi...