Sort by
Refine Your Search
-
Category
-
Employer
-
Field
-
of intelligent and secure energy systems where artificial intelligence meets reliable power electronic systems? We are looking for two motivated PhD candidates, as part of the AI:X initiative at Aalborg University
-
Are you interested in shaping the future of intelligent and secure energy systems where artificial intelligence meets reliable power electronic systems? We are looking for two motivated PhD
-
innovation (Track B). Note: Digital and commercial innovation should include emerging technologies (e.g., artificial intelligence, spatial computing). “Responsible innovation” is to be defined by the candidate
-
/101227683 ) consortium unites leading experts from academia and industry across Europe, leveraging expertise in wind energy, power systems, power electronics, control engineering, artificial intelligence, and
-
/101227683 ) consortium unites leading experts from academia and industry across Europe, leveraging expertise in wind energy, power systems, power electronics, control engineering, artificial intelligence, and
-
electronics, control engineering, artificial intelligence, and energy economics. This multidisciplinary collaboration addresses the pressing challenges of integrating wind energy into sector-coupled power
-
electronics, control engineering, artificial intelligence, and energy economics. This multidisciplinary collaboration addresses the pressing challenges of integrating wind energy into sector-coupled power
-
conversion and storage applications. You will work with around 40 colleagues with diverse backgrounds in computational and experimental science, machine learning, and artificial intelligence. We work with our
-
Promoting a Green Transition What we expect: The applicant should have completed a Master’s degree (MS / MSc / MTech / ME etc.) in Software Engineering, Information Technology, Computer Science, Artificial
-
digital technologies within mathematics, data science, computer science, and computer engineering, including artificial intelligence (AI), machine learning, internet of things (IoT), chip design