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 techno-economic optimization of electrolytic hydrogen production under dynamic operations. This project will involve researchers at MITEI and the Electrochemical Energy Lab in the Department of Mechanical Engineering at MIT. Expanding decarbonization efforts beyond the power sector is contingent on cost-effective production of energy carriers like hydrogen (H2) with near-zero life-cycle carbon emissions. This project will investigate the dynamic operation of water electrolyzers and the influence of stack degradation and efficiency on the levelized cost of hydrogen supply. The study will involve a combination of phenomenological and data-driven modeling of stack degradation under dynamic operation as well as techno-economic analysis based on mathematical programming techniques. For the latter, the emphasis will be on incorporating use-dependent degradation mechanisms along with dynamic efficiency considerations within a previously developed modeling framework to evaluate least-cost design and operation of electrolysis systems supported by colocated renewables and/or grid electricity supply. The study findings will be used to understand how methods and operating protocols to minimize stack degradation could impact the levelized cost of electrolyticH2 supply under various system scenarios.
REQUIRED : a Ph.D. in an engineering discipline with a demonstrated background in electrochemical reaction systems and familiarity with modeling and techno-economic analysis. Should be comfortable working in a multidisciplinary environment. PREFERRED : familiarity with algebraic modeling languages used for linear and mixed integer programming (e.g., Julia/JuMP, Python/Pyomo). Job #19910
For further information on the group and related projects, please feel free contact the project PIs, Dr. Dharik Mallapragada (email@example.com) and Prof. Yang Shao-Horn (firstname.lastname@example.org).
Applicants should also be prepared to provide at least two letters of recommendation when requested.
The tentative start date for the project is October 1, 2021.
This is a temporary, eighteen-month appointment.