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Postdoctoral Fellow-Computing

Job Description

POSTDOCTORAL FELLOW-CLIMATE AND COMPUTING, MIT Climate & Sustainability Consortium (MCSC)-Impact Fellowship Program, to assume a position for a computing-oriented individual who want to transcend academia and industry and apply their expertise to near-term change for a more sustainable future.  MCSC Impact Fellows work with MIT researchers and consortium industry members in collaboration with external organizations and communities to implement solutions needed for global economic transformation to address the global climate change and sustainability crisis. Throughout the program, fellows prepare for leadership positions within the sustainability domain in a wide range of contexts and prepare to drive research that advances breakthrough scalable solutions towards accelerated change.  Within the next decade computing and communications will consume more than 20% of the world’s electricity coupled with a significant impact on materials and chemical use and waste generation. This burden is juxtaposed with the tremendous benefits from computing capability that will be critical to rapidly and broadly decarbonizing energy use and mitigating pressures on planetary boundaries. The Impact Fellow will explore both the burdens and benefits of computing.  

Job Requirements:

REQUIRED: Ph.D. in electrical engineering, computer science, or artificial intelligence and decision-making; familiarity with at least three of the following: computer architecture, integrated circuits, AI/ML algorithms, programming languages, optimization, and/or graphics; experience with proposal writing and group management and coordination; strong listening and written and verbal communication skills. Seek a highly collaborative individual who is able to work in a team-oriented environment with experts from diverse backgrounds.  Job #22712

As the climate implications of computing and communications is a broad topic with many interconnected sub-disciplines (data center efficiency, computing architectures, algorithm development, power systems, opportunities in global data and networks to name a few), candidates should showcase their experience traversing disciplines during problem-solving in their application materials.

5/8/23

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