The Risk Analytics and Optimization (RAO) lab at the Ecole polytechnique fédérale de Lausanne (EPFL) led by Prof. Daniel Kuhn invites applications for a postdoctoral position in the area of optimization under uncertainty, in particular in the fields of (distributionally) robust optimization and stochastic programming, with applications to energy systems. The successful candidate will conduct research aiming to design and optimize drone operations at Swissgrid, the Swiss national electricity grid operator. Applicants must hold a PhD in a quantitative field and have a strong publication record in mathematical optimization. They also need to have experience in working with optimization software. Experience in stochastic programming or (distributionally) robust optimization is particularly valuable. We offer excellent working conditions and state-of-the-art infrastructure in a dynamic international environment at the forefront of research. The position comes with a competitive salary. The project offers the combination of an academically challenging research question and a novel high-impact industrial application in collaboration with Swissgrid. More information about our lab can be found on our website: https://www.epfl.ch/labs/rao/. Full information about the position and the application process can be found here: https://recruiting.epfl.ch/Vacancies/2084/Description/2------------------------------
Daniel Kuhn
Professor
Ecole Polytechnique Federale de Lausanne (EPFL)
Lausanne, Switzerland
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