Working at MIT offers opportunities, an environment, a culture - and benefits - that just aren't found together anywhere else. If you're curious, motivated, want to be part of a unique community, and help shape the future - then take a look at this opportunity.
POSTDOCTORAL ASSOCIATE , MIT Energy Initiative (MITEI) , to join a project on climate-resilient energy infrastructure planning for low-carbon energy futures. The project is primarily supported by the low-carbon energy center (LCEC) on electric power systems (EPS) and will involve researchers at MITEI and the Laboratory for Information & Decision Systems (LIDS) and the Department of Civil and Engineering at MIT. The project will develop large-scale stochastic optimization models and methods to investigate planning of multi-vector (electricity, gas) energy infrastructure for low-carbon energy futures while explicitly factoring resiliency to climate-induced disruptions. The developed framework will be used as part of an industry-sponsored study to evaluate the relative merits of direct electrification versus other strategies (e.g., using hydrogen in gas network) to decarbonize space heating in buildings. Responsibilities will include developing/improving computationally efficient optimization models to incorporate resiliency aspects in multi-vector energy infrastructure planning, using the developed models to provide policy-relevant recommendations regarding cost-effective strategies for decarbonizing space heating in buildings in cold climates, and investigating use of real-world data for model calibration and/or validation.
Job Requirements REQUIRED : a Ph.D. in an engineering discipline; demonstrated background in deterministic and stochastic optimization and data-driven modeling and familiarity with energy systems (e.g., industrial engineering, electrical engineering, chemical engineering with a systems focus). Wil be expected to regularly present research results in sponsor meetings and center workshops and to publish papers in international conferences and in peer-reviewed journals. Job #19355
For further information on the group and related projects, please feel free contact Dr. Dharik Mallapragada (email@example.com) and Prof. Saurabh Amin (firstname.lastname@example.org).
Application material should include a full CV and a research statement. Applicants should also be prepared to provide at least two letters of recommendation as and when requested.
This is a one-year position, available immediately, with possibility of renewal depending upon the progress achieved and continued funding.
The project will be based at the MIT campus in Cambridge, MA, but the option of working remotely for the initial period will be considered.
Internal Number: 19355
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