The Center for Energy Markets (CEM) at Technical University Munich is dedicated at advancing research on the global energy transition. Energy markets are at the heart of one of the biggest societal challenges of our time - creating a sustainable, reliable and affordable energy provision. CEM brings together economics, finance and engineering approaches to offer applied research contributions to topical real-world energy sector questions.
🌿 Dive into Sustainability at Hop Hallertau! 🌱
The TUM Center for Energy Markets (CEM) proudly presents an exclusive Project Study opportunity in collaboration with the award-winning startup, HopfON. Explore sustainable hop development, local energy production, and international trade prospects in…
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We are seeking motivated master's or final year bachelor's students to join our research team for an exciting project study on the economic, environmental, and social impacts of metals & metals mining activities in the Global South. Collaborating with the prestigious Bureau of Economic Geology at…
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Are you interested in #Sustainability and would like to participate in a project study as part of a cooperation between the Center for Energy Markets (CEM) at TUM School of Management and #Allianz insurance? Don’t miss your chance to become part of one of the world's leading insurers and to…
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CEM invites applications for a Research Assistant (Wissenschaftliche Hilfskraft, 3 hours a week). Tasks and responsibilities include data and literature screening tasks, management of the CEM website and the administration of workshops or events held at CEM.
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At the TUM Center for Energy Markets we are looking for master students for thesis titled "Can green hydrogen enable the sustainable growth in Europe? An industry perspective"
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Mario Daniele Amore & Sebastian Schwenen's paper titled "Hiring Lucky CEOs" has now been published by "The Journal of Law, Economics, & Organization".
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At the TUM Center for Energy Markets, we offer a unique and comprehensive dataset related to the European power market and look for candidates interested in multi-disciplinary, applied ML work. Specific details of the project will be shared with interested applicants.
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