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integrated circuits (EICs), and advanced packaging technologies. The co-design and optimization of these building blocks are essential for achieving breakthroughs in data rate, power efficiency, scalability
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support. The PhD candidate will develop and validate a hybrid methodology that combines established stochastic optimization with AI-based learning. The aim is not only to develop new algorithms, but also to
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19th October 2026 Languages English English English The Department of Electric Energy has a vacancy for a PhD Candidate in Risk-Based Power System Operation and Utilisation of Transformer Capacity
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for outstanding and enthusiastic PhD candidates, with a proven track record of excellence, to work on a challenging PhD project, in an exciting multidisciplinary team. Section Mechanics of Materials The section
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12th October 2026 Languages English English English The Department of Electric Energy has a vacancy for a PhD Candidate in Multimarket Bidding Decision Support in Nordic Power Markets Apply
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Are you fascinated by application-oriented research in mathematics and eager to work at the interface of numerical optimization, optical design, and uncertainty quantification? In this PhD project
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Department for Energy Science is seeking candidates who wish to pursue a PhD in Energy Engineering. Your research will focus on developing and applying optimisation models to analyse the future role of
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Positions PhD Positions Application Deadline 22 Sep 2026 - 20:00 (Europe/Paris) Country France Type of Contract Temporary Job Status Full-time Offer Starting Date 1 Oct 2026 Is the job funded through the EU
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optimization. Strong programming skills (Python, Julia, Jax). Experience with numerical optimization is also desirable. Personal characteristics To complete a doctoral degree (PhD), it is important that you are
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optimization of these building blocks are essential for achieving breakthroughs in data rate, power efficiency, scalability, and overall system cost. This PhD project focuses on the electronic integrated circuit