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. Profile Applicants must hold a M.Sc. Diploma (120 ECTS points) or equivalent in civil, mechanical or electrical engineering, geosciences, physics, applied mathematics, computer sciences or related fields
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100%, Zurich, fixed-term We have an open PhD position at the intersection of machine learning, embedded intelligence and human–computer interaction. The project will explore how learning systems can
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transfer, developing and employing laboratory experiments, computer simulations, and field analyses. Our aim is to gain fundamental insights and to develop sustainable technologies that address societal
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the University of Basel. Specifically, it comprises: Supporting the development of flipped classroom courses (e.g., for the Pathways to Sustainability course program); Conducting a market analysis of existing
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The Institute for the History and Theory of Architecture (gta) is inviting applications for two visiting lectureship positions in the history of architecture, urbanism or landscape. The appointment is limited to two years, with one position starting in September 2026, the other in February...
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Position in the NorSCAPE Project: “Norway Spruce in a Changing Climate: Adaptation, Acclimation, and Physiological Responses for Resilient Forests in Europe” for 2 years, with possibility of extension.This project is in collaboration with the COSTAction CLEANFOREST. Norway spruce (Picea abies)...
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period. The Geneva Graduate Institute has an interdisciplinary MA programme (MINT) and awards MAs and PhDs in five departments: IHP, International Economics, International Relations & Political Science
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methods in learning sciences and educational research You are preferably studying Computer Science or a related field You are interested in Learning Sciences or Human-Computer Interaction (HCI) You are
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This computational project will employ calculations based on density functional theory (DFT) and extensions of DFT, such as DFT+U and DFT in combination with dynamical mean-field theory (DMFT). It is
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for the renewable energy sector via the M2A European Training Network (ETN), funded by the European Commission’s Horizon 2020 Marie Skłodowska-Curie programme. Project background M2A puts forward a robust methodology