Postdoc openings at MIT Energy Initiative - process and energy systems modeling

The MIT Energy Initiative (MITEI, ) has two postdoc openings in the area of process and energy systems modeling to study low-carbon fuels production and their role in renewables-dominant power systems. These two positions are part of a project that will involve researchers at MITEI and departments of mechanical and chemical engineering at MIT, with a tentative start date of September 1, 2022. Applications received before July 15th, 2022 will be given priority. We welcome applicants from all backgrounds, especially women and members of under-represented minority groups.

One of the positions focuses on process modeling and optimization of alternative low-carbon fuel production pathways as well as their use for dispatchable power generation as part of a renewables-dominant grid. Of particular interest are pathways for low-carbon ammonia production and its use as a fuel for dispatchable power generation. Emphasis will be on understanding scalability, economic and cradle-to-grave environmental impacts of low-carbon fuels utilization.

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The second position focuses on studying the role for alternative technology retrofits of existing thermal generation in supporting renewables integration, decarbonization and reliable power system operations. This position will use and expand GenX, an open-source planning model, developed at MITEI and jointly maintained with Princeton University’s Zero Lab ( ). As a case study, the developed models will be used to evaluate the role for technology retrofits in the long-term evolution of India’s electric grid.

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Both positions are 12 month appointment with renewal contingent on performance and funding. To apply for this opportunity, applicants should submit their application package (full CV) via the online application portal, ideally before July 15th, 2022. Please also directly email Emre Gencer (, Guiyan Zang (Guiyan Dharik Mallapragada ( with your CV and cover letter. The applicants should also be prepared to provide at least two letters of recommendation as and when requested.

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