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Massachusetts Institute of Technology
Cambridge, Massachusetts
Department of Nuclear Science and Engineering and Schwarzman College of Computing

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Faculty Positions in Computing for Health of the Planet
in Nuclear Science and Engineering and the Schwarzman College of Computing

The Massachusetts Institute of Technology (MIT) Department of Nuclear Science and Engineering together with the Schwarzman College of Computing (SCC) in Cambridge, MA seeks candidates for tenure-track faculty positions in Computing for Health of the Planet to start July 1, 2022 or on a mutually agreed date thereafter.   The search is for candidates to be hired at the assistant professor level; under special circumstances, however, an untenured associate or senior faculty appointment is possible, commensurate with experience.

The health of the planet is one of the most important challenges currently facing humankind.   The vision of the Nuclear Science and Engineering Department is to create a sustainable future where nuclear science and technology are appropriately used for the benefit of humankind and the planet.   Our faculty, graduates, and researchers will lead the key technology and policy work to combat climate change with clean and secure energy, to end nuclear threats and to enable basic scientific discovery.   Recent advances in multi-scale and multi-physics modeling, AI and Machine Learning, coupled with the rapidly advancing capabilities of high-performance computers and associated algorithmic and simulation methodologies, are making it possible to simulate nuclear systems with much higher fidelity than ever before and accelerate their impact for the health of the planet.   An integrated focus on computing, modeling and simulation underlies all carbon-free energy research in NSE.   We seek candidates who have skills in computing and data-driven science and engineering, and who can apply it at the intersection of computing and carbon-free fission and fusion energy systems, including but not limited to areas such as reactor physics; thermal hydraulics; probabilistic risk assessment; fusion plasma control, heating and transport; atomic-resolution, long-timescale materials simulation in nuclear energy systems; as well as nuclear security.

The successful candidate would have a shared appointment in both the Department of Nuclear Science and Engineering and also the Schwarzman College of Computing, in either the Department of Electrical Engineering and Computer Science (EECS) or the Institute for Data, Systems, and Society (IDSS).


We are especially interested in qualified candidates who can contribute, through their research, teaching and/or service, to the diversity and excellence of the academic community.   Faculty duties include teaching at the undergraduate and graduate levels, advising students, conducting original scholarly research, and performing service at the Institute.   Candidates must hold a Ph.D. in Engineering, Physics, Data Science, Computer Science, or Applied Mathematics or a similar discipline by the beginning of the employment.  

Applications must include a cover letter, curriculum vitae, 2-3 page statement of research and teaching interests and goals.   In addition, candidates should provide a statement regarding their views on diversity, inclusion, and belonging, including past and current contributions as well as their vision and plans for the future in these areas.   Approaches to fostering an inclusive environment including but not limited to teaching, mentoring, and affirming diverse viewpoints, are encouraged to be discussed.   They should provide copies of no more than three publications.   They should also arrange for four individuals to submit letters of recommendation on their behalf.   This information must be entered electronically at the following site: https://school-of-engineering-faculty-search.mit.edu/nse-scc/register.tcl by January 3, 2022 when review of applications will begin.

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's full policy on Nondiscrimination can be found here.

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