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at Dartmouth College (USA). To follow the DTU program, you will be granted a unique study environment, together with several PhDs and Post Docs in related fields. Your primary tasks will be to improve
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of code to utilize GPU-acceleration on DTU’s high-performance computing cluster or other HPC systems. You will also analyze realistic physical implementations of the architectures you explore, with a
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processes, preferably HTPEM fuel cells. Proficiency in relevant computational tools, such as COMSOL Multiphysics. Familiarity with degradation mechanisms and the transient behavior of PEM fuel cell stacks is
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candidates will be asked to send an application to the PhD Secretariat, Faculty of Health Sciences, to be enrolled as PhD students. The PhD programme will be carried out in accordance with Faculty regulations
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in machine learning and artificial intelligence Experience with numerical analysis and scientific computing Knowledge of power systems and renewable energy technologies Experience in power system
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. For information about our enrolment requirements and the general planning of the PhD study programme, please see DTU's rules for the PhD education . Assessment The assessment of the applicants will be made by Prof
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position as research assistant for up to 6 months before starting the PhD program. The position is available from 1st September 2025 or soon thereafter. Application deadline is 20. June 2025. Research
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publications and presentations at international conferences. We are looking for a candidate who: Think creatively and approaches problems with an open, computational mindset. Is motivated to bring data-driven
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: Participate in an international research exchange program (3 months to 1 year) at a partner university or research institute to gain new skills and enhance collaboration. Qualifications A master’s degree (or
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of the PhD study programme, please see DTU's rules for the PhD education . Assessment The assessment of the applicants will be made by Dr. Lei Yang and Prof. Johannes Kabisch (Norwegian University of Science