Sort by
Refine Your Search
-
application! We are now looking for a PhD student in Energy Systems for a project on industrial sustainability and digitalization. Your work assignments The industry is facing major challenges related to energy
-
30 Aug 2025 Job Information Organisation/Company Linköping University Research Field Computer science » Digital systems Technology » Information technology Technology » Interface technology
-
, particularly related to data sharing between actors in the supply chain. This project will study how digital product passports (DPP), and ontology-based platforms for collecting and interpreting such data, can
-
, dynamic programming , statistical signal processing, reinforcement learning, and have good programming skills in Python and MATLAB. - Ability to work independently and ability to formulate and tackle
-
understanding and innovative fabrication processes to solve urgent problems in organic electronic devices, and enable new components with sustainable functionalities. Collaboration with industry partners will
-
electronic doping to control and modify their electronic characteristics. The project’s goal is to develop fundamental understanding and innovative fabrication processes to solve urgent problems in organic
-
and Information Science. These positions are funded by the Wallenberg AI, Autonomous Systems and Software Program (WASP). Wallenberg AI, Autonomous Systems and Software Program (WASP) is Sweden’s
-
curiosity-drive person, fascinated by the complexity of biological systems and their ability to self-organize, and the manner in which they come about via evolutionary processes. You are also drawn
-
novel machine learning method development. However, you will be part of a larger cross-disciplinary research initiative involving both computer and material scientists, providing excellent opportunities
-
cross-disciplinary research initiative involving both computer and material scientists, providing excellent opportunities for practical impact by taking the outputs from the developed machine learning