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models can support energy-system modelling and optimization, including applications such as prediction, surrogate modelling, uncertainty quantification, and decision support. Coordinate the joint research
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, a new funding programme to support outstanding women scientists on their path to independent research leadership. The Fellowship gives excellent candidates the resources and hands-on leadership
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the Rheintal project Integrate CCUS and industrial processes into the energy system models Assess the energy system towards different metrics and optimization objectives such as cost and CO2 emissions Coordinate
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surface science Prior experience with piezoelectric- or ferroelectric nitrides is an advantage Knowledge of PVD process development and pulsed sputtering is an advantage Proficiency in Python programming
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for assessing heat stress and evaluating mitigation strategies Plan and perform experiments using thermal manikins, environmental sensors, physiological measurements, and climatic test facilities Analyse and
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synthesis and characterization. Familiarity with cell culture and in vitro assays. Experience in catalysis, programming and large data analysis is a plus. Excellent communication skills and fluency in English
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, or related methods, is also advantageous. Programming and data analysis skills in Python, MATLAB, R, or similar are advantageous. Proficiency in English; German is a plus. Enthusiasm for interdisciplinary
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offer You will conduct your research in Empa’s laboratories in Dübendorf and will be enrolled in the doctoral program in Electrical Engineering at ETH Zurich. The project is part of the National Centre
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enhance your academic track record. Your responsibilities will include: Help coordinate project activities and develop synergies within the team and between project partners. Supervise intern students
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good skills in programming Fluent in English, (German is beneficial) then, this position might be for you. Our offer Project duration is two years. The candidate will perform his/her research at Empa in