[Job-offers-cs] MIT Faculty Positions in Computing for Health of the Planet

[Pekka Orponen]

The *Massachusetts Institute of Technology* (MIT) has several FACULTY 
POSITIONS in *Computing for Health of the Planet*.

These are joint searches with the *Schwarzman College of Computing* and 
include these two searches:

  * *Nuclear Science and Engineering Department*, see:
    web.mit.edu/nse/jobs/index.html
    <https://web.mit.edu/nse/jobs/index.html>
  * *Mechanical Engineering Department*, see:
    meche.mit.edu/faculty-positions
    <http://meche.mit.edu/faculty-positions>. See also details below for
    this Position.

FACULTY POSITION in Computing for Health of the Planet

*in Mechanical Engineering and Schwarzman College of Computing 
Massachusetts Institute of Technology*

*Cambridge, MA*

The Massachusetts Institute of Technology (MIT) Department of Mechanical 
Engineering together with the Schwarzman College of Computing 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 facing 
humankind today. The need for a sustainable planet demands integrated 
research efforts that develop novel fundamental modeling, computation, 
machine learning and AI methods with technological innovation. A 
creative /mens et manus/ approach is essential to ensure the health and 
security of our environment.

We seek candidates who have skills in computing and data-driven science 
and engineering, for applications and solutions related to the health of 
the planet. Topics include but are not limited to:

  * *Intelligent environmental monitoring and forecasting*, e.g.,
    fundamental and applied research in integrating dynamical models,
    machine learning, and physical systems for sensing, forecasting, and
    risk assessment of environmental hazards, such as sea-level change,
    flooding events, coastal pollution, heat waves, biodiversity
    threats, and adverse effects on human health
  * *AI-driven solutions for climate change mitigation and adaptation*,
    e.g., computational and robotic systems, integrated smart sensors
    and dynamics, and deep learning methods to explore, utilize and
    protect our environment
  * *Sustainable mobility and transportation*, e.g., use of data for
    estimation, prediction, autonomy, or control relevant to autonomous
    vehicles, clean transports, and ocean environments and systems
  * *Resilient solutions for clean air, usable water, and food*, e.g.,
    use of data-driven models and AI-embedded engineering for clean
    filtration, desalination, water management, smart irrigation,
    digital agriculture, sustainable aquaculture, clean harvesting, and
    food security
  * *Computing for sustainable and renewable energy*, e.g.,
    computational and data-driven approach for energy conversion with
    renewable storage, efficient carbon capture, smart power systems,
    low emission propulsion, green buildings
  * *Smart sustainable manufacturing and design*, e.g., computing and
    data-driven process development, control, and optimization;
    discovery of new materials; AI-based design of devices, structures
    and systems that are energy-efficient, promote reuse and recycling
    of materials, reduce consumption, or otherwise mitigate climate
    change and environmental impact on the planet

Candidates should possess fundamental skills in one or more of the 
following areas: learning for dynamics, nonlinear dynamical systems, 
closure models, computational modeling, scientific machine learning, 
high dimensional statistics and optimization, science of autonomy, 
intelligent systems, smart sensing, computing devices, decision theory, 
risk analysis, and data-driven science and engineering.

The Department of Mechanical Engineering and the Schwarzman College of 
Computing (SCC) are committed to fostering interdisciplinary research 
that can address grand challenges facing our society. 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. We seek candidates who will provide inspiration 
and leadership in research, contribute proactively to both undergraduate 
and graduate level teaching in the Mechanical Engineering department and 
SCC. The successful candidate would have a shared appointment in both 
the Department of Mechanical Engineering and also the Schwarzman College 
of Computing, in either the Department of Electrical Engineering and 
Computer Science (EECS), or in the Institute for Data, Systems, and 
Society (IDSS). Candidates can also become members of the Center for 
Computational Science and Engineering (CCSE) and of other groups at MIT.

Faculty duties include teaching at the undergraduate and graduate 
levels, advising students, conducting original scholarly research and 
developing course materials at the undergraduate and graduate levels. 
Candidates must hold a Ph.D. in Engineering, Physics, Data Science, 
Computer Science, or Applied Mathematics or a similar discipline by the 
beginning of employment.

Applications must include a cover letter, curriculum vitae, 2–3 pages 
statement that explicitly highlights how their research has and/or will 
contribute to the health of the planet, as well as corresponding 
teaching interests and goals. In addition, candidates should provide a 
statement regarding their views on diversity, equity, 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 also 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: school-of- 
engineering-faculty-search.mit.edu/meche/... 
<https://school-of-engineering-faculty-search.mit.edu/meche/register.tcl> by 
December 15, 2021 when review of applications will begin.

MIT is an equal-opportunity/affirmative action employer. The Department 
of Mechanical Engineering with the Schwarzman College of Computing are 
keenly interested in diversifying its faculty and encourages 
applications from candidates from historically underrepresented group(s) 
in higher education to apply. Women and underrepresented minorities are 
especially encouraged to apply.
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