Reference number PAR 2024/1057 The University of Gothenburg tackles society’s challenges with diverse knowledge. 56 000 students and 6 600 employees make the university a large and inspiring place to work and study. Strong research and attractive study programmes attract researchers and students from around the world. With new knowledge and new perspectives, the University contributes … Read more
Reference number PAR 2024/1137 The University of Gothenburg tackles society’s challenges with diverse knowledge. 56 000 students and 6 600 employees make the university a large and inspiring place to work and study. Strong research and attractive study programmes attract researchers and students from around the world. With new knowledge and new perspectives, the University contributes … Read more
Reference number PAR 2024/1111 The University of Gothenburg tackles society’s challenges with diverse knowledge. 56 000 students and 6 600 employees make the university a large and inspiring place to work and study. Strong research and attractive study programmes attract researchers and students from around the world. With new knowledge and new perspectives, the University contributes … Read more
Reference number PAR 2024/933 The University of Gothenburg tackles society’s challenges with diverse knowledge. 56 000 students and 6 600 employees make the university a large and inspiring place to work and study. Strong research and attractive study programmes attract researchers and students from around the world. With new knowledge and new perspectives, the University contributes … Read more
Reference number PAR 2024/932 The University of Gothenburg tackles society’s challenges with diverse knowledge. 56 000 students and 6 600 employees make the university a large and inspiring place to work and study. Strong research and attractive study programmes attract researchers and students from around the world. With new knowledge and new perspectives, the University contributes … Read more
The focus of the project is to integrate societal impact assessment of transport solutions with travel behavior models. Travel behaviour models and societal impact assessment methods are built separately and often need particular expertise to synthesize and streamline the findings. This project will address this issue in an effort to explore and develop integrated assessment … Read more
The Division of Network and Systems Engineering is looking for one doctoral students with a very strong background and interest in system modeling, optimization, and machine learning. The successful candidate will join a MSCA Doctoral Network project on developing rigorous, novel tools for safe and prompt learning and optimization of distributed network infrastructures. A strong … Read more
In the transition toward low-energy buildings and the 5th generation of district heating, using data-driven approaches to integrate decentralized renewables with optimal control will play a vital role. You will join an exciting research team and interdisciplinary Swedish and EU projects to develop and apply machine learning (ML) techniques, novel system control and optimization methods … Read more
The composition of Earth’s atmosphere and its ability to respond to pollution and climate change is maintained by oxidation reactions involving short-lived radicals. In particular, thousands of different organic radicals are present in the atmosphere, such as Criegee intermediate (CI), resulting from the reactions of unsaturated organic compounds with Ozone. Despite several decades of research, … Read more
This research position is part of the Interreg NWE funded ACCU project, which aims to organise local integrations of local renewable electricity generation with (collective) heating solutions in Local Energy Communities (LECs). It aims to overcome technical (e.g. (seasonal) disbalances and grid congestion), regulatory, social (e.g. capabilities for initiating and organizing LECs involving various local … Read more