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. Collecting and analyzing data from a full-scale (150 kWh capacity) pilot installation at DTU. Developing a computer model (“digital twin”) that link physical experiments with advanced control and operation
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PhD Positions Country Denmark Application Deadline 1 Dec 2025 - 23:59 (Europe/Copenhagen) Type of Contract Temporary Job Status Full-time Is the job funded through the EU Research Framework Programme
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Development of electromagnetic measurement techniques Interaction with relevant industrial partners As a PhD candidate at DTU, you will take part in an educational program of 30 ECTS tailored to your needs
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, visit: www.algoritmer.org . The candidate will conduct teaching as part of the ph.d. programme. You must have a two-year master's degree (120 ECTS points) or a similar degree with an academic level
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Aarhus BSS Graduate School, Aarhus University invites applicants for a PhD Scholarship in connection with the research project Econometrics at the PhD Programme Economics and Business Economics. The
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2 Nov 2025 Job Information Organisation/Company Aalborg Universitet Department The Technical Faculty of IT and Design, Department of Computer Science, Section for DATA Research Field
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Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description The Department of Electronic Systems at The Technical Faculty of IT and
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. Developing a computer model (“digital twin”) that link physical experiments with advanced control and operation strategies. The model will be utilized for techno-economic investigations regarding flexible
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DTU Tenure Track Researcher in Low-Noise Supercontinuum Lasers and Supercontinuum Laser based Opt...
of Professional Associations. The allowance will be agreed upon with the relevant union. Starting date is 1 July 2026. Location: DTU Electro, Campus Lyngby. The position is part of DTU’s Tenure Track program. Read
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computer science. The candidate is expected to have solid knowledge in most of the following areas: Robotics Control theory Deep Learning & Machine learning Modelling and control of soft/continuum robots Experience