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Field
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that will develop and analyse computational models for electricity markets, the power system and hydro power scheduling. The position will be affiliated with the ENE Centre at the Department of Business
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] Subject Area: Engineering / Quantum Science and Engineering Appl Deadline: (posted 2026/01/06 05:00 AM UnitedKingdomTime, listed until 2026/06/29 04:59 AM UnitedKingdomTime) Position Description: Apply Position
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language processing, machine learning and skills taxonomies, you will help generate meaningful insights into current and future engineering skills needs. Your work will support industry, policymakers, educators and
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to wireless technologies, in coordination with academic and industrial collaborators. Qualifications Applicants must hold a PhD degree in electrical/electronics engineering, telecommunications or related field
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%) journals and collaborating with fellow postdocs on high-quality publications Your profile PhD in Robotics, Mechatronics, Computer Science, Mechanical Engineering, Electrical Engineering, Aerospace
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CIIMAR - Interdisciplinary Center of Marine and Environmental Research - Uporto | Portugal | 21 days ago
First Stage Researcher (R1) Positions PhD Positions Application Deadline 16 Apr 2026 - 23:59 (Europe/Lisbon) Country Portugal Type of Contract Not Applicable Job Status Full-time Hours Per Week 40 Offer
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20 Feb 2026 Job Information Organisation/Company Université de Pau et des Pays de l'Adour Department SIAME Research Field Engineering » Computer engineering Physics » Computational physics
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Job Description The Department of Civil and Mechanical Engineering at the Technical University of Denmark (DTU) invites three excellent candidates to join our team for three full-time Postdoc
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, and Gemini. Ability to work effectively in interdisciplinary and collaborative environments. Required Education: PhD from an accredited college or university in Educational Technology, Learning
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robotic arms and performing software and hardware integration Mentor and Advise PhD thesis within the research group. Current topics include, reinforcement learning for tactile-aware manipulation skills