Research - Laboratory/Non-Laboratory, Staff/Administrative
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 involving researchers at MITEI and the Laboratory for Information and Decision Systems (LIDS) at MIT. The project will expand available optimization-based decision-support tools related to power and hydrogen infrastructure planning at MITEI to model important elements relevant to the energy transition for the transportation sector. This includes operation and investment of technologies for synthetic fuel production from electricity and/or H2 and captured CO2; representation of CO2 infrastructure, including alternative technologies for direct air capture (DAC); representation of distribution infrastructure costs and constraints for each of the end-use vectors (electricity, hydrogen, and fuels); and using data-driven methods to incorporate the impact of inter-annual and intra-annual variations in demand and renewables availability. The developed framework will be used to evaluate regional and national decarbonization pathways and in particular study the relative merits of direct electrification versus other technology routes for the transportation sector. The postdoc's responsibilities will include incorporating the above-mentioned elements into existing planning models available at MITEI while balancing computational tractability and modeling accuracy, applying the developed models to study decarbonization questions for real-world cases and develop insights on the impact of various technological and policy drivers on decarbonization of the power sector and transportation sector, and investigating methods for representing spatio-temporal variability in input data in a computationally efficient manner within energy optimization models.
Job Requirements REQUIRED : Ph.D. in an engineering discipline with a demonstrated background in optimization methods and applied energy system modeling, familiarity with algebraic modeling languages used for linear and mixed-integer programming (e.g., Julia/Jump, Python/Pyomo), and comfort working in a multidisciplinary environment. Job #19708
For further information on the group and related projects, please feel free contact the project PIs, Dr. Dharik Mallapragada (firstname.lastname@example.org) and Dr. Audun Botterud ( email@example.com ).
Application material should include a full CV. Applicants should also be prepared to provide at least two letters of recommendation as and when requested.
This is a twelve-month appointment with annual renewal contingent upon performance and funding. The tentative start date is September 1, 2021.
Internal Number: 19708
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