Job Description

POSTDOCTORAL ASSOCIATE, Chemical Engineering (ChemE), to join a project focused on developing advanced decision-support tools for exploring the potential of demand-side flexibility in decarbonizing energy systems. The project will focus on building the modeling framework to link the hydrogen, CO2 infrastructure, and bulk power system with the distribution power system in a highly granular regional energy system.  Accurately representing these infrastructures within macro-scale energy systems models is essential to studying the holistic impact of technologies and policies and will require advances in modeling as well as solution strategies to enable computational tractability. As a case study, the developed framework will be used to evaluate deep decarbonization pathways for ERCOT with a focus on the role of demand.  

REQUIRED:  Ph.D. in an engineering discipline; demonstrated background in optimization methods and applied energy system modeling; familiarity with algebraic modeling languages used for linear, nonlinear, and mixed-integer programming (e.g., Julia/JuMP and/or Python/Pyomo); and comfort working in a multidisciplinary environment.  Job #24175

This project will involve faculty and researchers at MIT Chemical Engineering and MIT Energy Initiative, with a tentative start date of September 1, 2024.  It is a fifteen-month appointment with renewal contingent upon performance and funding.

In addition to applying online with a full CV, applicants are asked to submit a full CV and a cover letter to the principal investigators, Prof. Sungho Shin at sushin@mit.edu and Dr. Pablo Duenas Martinez at pduenas@mit.edu, and be prepared to provide at least two letters of recommendation as and when requested. For further information about the group and related projects, please feel free to contact the project’s principal investigators.

6/25/24

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