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academic and 7 industrial PhD students. During the course of the DDLS program more than 260 PhD students and 200 postdocs will be part of the Research School. The DDLS program has four strategic areas: cell
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://academicpositions.com/ad/kth-royal-institute-of-technology/2024/phd-stu… Contact City Stockholm Website http://www.kth.se Postal Code 11428 STATUS: EXPIRED
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assess the impact of control strategies or interventions. The Division of Decision and Control Systems conducts, among others, fundamental research in networked control systems. The PhD project will
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copper, read more here . We are looking for a PhD candidate highly motivated and with a background in electrochemistry. This recruitment is connected to the Wallenberg Initiative Materials Science for
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with a strong background in system security, formal verification, and/or machine learning to apply for two PhD positions, funded by Wallenberg AI, Autonomous Systems and Software Program (WASP
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to characterize different brain diseases, including Parkinson's disease, Alzheimer's disease, multiple sclerosis, and brain tumors. The following two PhD student positions are offered in this call: 1. Fast and
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Doctoral student in development of novel catalysts for hydrogen fuelled alkaline membrane fuel cells
months at the fuel cell company Powercell in Gothenburg. After accomplished education the doctoral student will acquire a double PhD degree from Aalto and from KTH. The project Unite!Energy, is funded by
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programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Project description Third-cycle subject: Computer science PhD student 1 will be a part of an EU project
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? Not funded by an EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Project description Third-cycle subject: Engineering Mechanics The two PhD
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. This eligibility requirement must be met no later than the time the employment decision is made. Prior publications within top machine learning venues. Prior experience with under supervised deep learning during PhD