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 work on a project on advancing systems modeling tools related to power sector investment planning under uncertainty through advanced optimization. The project is primarily supported by the Low-Carbon Energy Centers (LCEC) on electric power systems and will develop optimization models and methods to study the cost-effectiveness of investments in generation, storage, and transmission in the bulk power sector under uncertain technology and policy futures, while explicitly considering the flexibility requirements of future renewables-dominated power systems. Will study the role of emerging energy storage technologies in future low-carbon electricity systems under uncertain technology (e.g., storage cost and performance) and policy (e.g., carbon policy, market structures) futures. Responsibilities include developing/improving computationally efficient power system optimization models; using the developed models to provide policy-relevant recommendations through studying applications pertaining to the role of existing and new natural gas assets and emerging technologies (e.g., battery storage); presenting research results in sponsor meetings and center workshops; and publishing papers in international conferences and peer-reviewed journals. The position offers opportunities for working closely with MIT researchers and involvement in MITEI’s LCEC.
REQUIRED: Ph.D. in an engineering discipline; demonstrated background in energy systems (e.g., energy engineering, electrical engineering, chemical engineering, or industrial engineering); excellent communication skills, including spoken and written English fluency; independent research skills; and ability to prioritize work to meet deadlines. The ideal candidate possesses expertise and relevant track record in formulating and solving optimization models; working knowledge of power systems and grid technologies; and experience handling large data sets and with at least one of the following: Julia, GAMS, Python, and/or MATLAB. Job #18935
In addition to applying online via the MIT website with a full CV and research statement, applicants are asked to submit these materials plus two letters of recommendation to Dr. Dharik Mallapragada at firstname.lastname@example.org.
This is a one-year position with possibility of renewal depending on the progress achieved and continued funding.
MIT is an equal employment opportunity employer. All qualified applicants will receive consideration for employment and will not be discriminated against on the basis of race, color, sex, sexual orientation, gender identity, religion, disability, age, genetic information, veteran status, ancestry, or national or ethnic origin.
MIT considers equivalent combinations of experience and education for certain jobs. All candidates who believe they possess equivalent experience and education are encouraged to apply.