14 master PhD scholarships at Luleå University of Technology in Sweden

PhD student in energy engineering – Energy system modeling to analyse the role of hydropower in the Swedish green energy transition

, Sustainable energy systems and Environmental system analysis, as well as supervising master student projects within the master program in Sustainable energy engineering. Qualifications You are qualified

PhD Student in Cyber-Physical Systems (CPS)

researchers on a European project. As a main topic, you will perform your research in one of these areas: -Data model translation, to enable the automatization of the engineering process. -Machine learning

PhD student in Machine Learning

very motivated and enthusiastic doctoral student who wants to conduct state-of-the-art research. You must have a master's degree in computer science or similar subject. Experience with machine learning

PhD Student in Energy Engineering with special emphasis on evaluation of biochar for sustainable steelmaking

. The project is led by BEST – Bioenergy and Sustainable Technologies GmbH and LTU is one of the main scientific partners. The project aims to develop application-tailored biomass pre-treatment procedures via

PhD student in Electronic Systems with focus on electrodynamic modeling

involved in challenging development projects. Your qualifications We are looking for committed people who have: -A solid educational background, civilingenjör or master's degree or equivalent, in electrical

PhD Student in Energy Engineering

. The project is led by BEST – Bioenergy and Sustainable Technologies GmbH and LTU is one of the main scientific partners. The project aims to develop application-tailored biomass pre-treatment procedures via

Phd position in Engineering Materials with the specialization life cycle assessment

contribute to the steel industry's transition towards carbon neutrality. The aim of this project is to use life cycle assessment (LCA) as a main tool to identify where in the steel’s material value chain

PhD Student in Applied Physics - Accelerating Nanomaterial Growth Simulations with Machine Learning

/InstituteLuleå University of TechnologyCountrySwedenCityLuleåPostal Code97187StreetLuleå university of technology Where to apply Website https://web103.reachmee.com/ext/I003/583/main?site=6&validator

PhD-student in Human Work Science

experience For eligibility, a Master's degree (or equivalent) with a specialization relevant to Human work science research, such as sociology, health sciences, human resource management and psychology is

PhD-student Energy Engineering emphasis hybrid solvents for CO2 separation

research education. Qualifications To be eligible, you must have a degree of Master of Science in Chemical Engineering, Materials Science, Energy Engineering, or similar specializations. You should have a