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

[Pekka Orponen]

-------- Forwarded Message --------

Subject: 	[SIAM-DY] MIT Faculty Position in Computing for Health of the 
Planet
Date: 	Tue, 24 Nov 2020 15:57:16 +0000
From: 	Pierre F.J Lermusiaux <pierrel at mit.edu>
To: 	Pekka Orponen <pekka.orponen at aalto.fi>
CC: 	The Dynamical Systems SIAG mailing list <siam-dy at siam.org>



*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 (SCC) 
seeks candidates for tenure-track faculty positions in Computing for 
Health of the Planet to start July 1, 2021 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. Ocean 
systems are particularly important and in need of both fundamental 
research and development of breakthrough solutions. A creative /mens et 
manus /approach is essential to ensure the health and security of our 
oceans and environment.

We seek candidates who have expertise in computing and data-driven 
science and engineering, and can apply it to:

  * Develop integrated systems using smart sensors and physics-informed
    machine learning.
  * Explore, utilize, and protect our environment and oceans.
  * Conduct fundamental and applied research in sensing, acoustics,
    communications, signal processing, control, autonomy, sea-level and
    climate change mitigation, environmental hazards, environmental risk
    assessment, among others.
  * Use data for estimation, prediction or control relevant to
    sustainable mobility, autonomous vehicles, sea transports, and ocean
    environments and coastal structures.
  * Provide usable water, resilient food, and sustainable energy (e.g.,
    desalination, water management, sustainable aquaculture, food
    security, wind and ocean renewable energy, low emission propulsion)
    using data-driven models and AI-embedded engineering.

Candidates should contribute to interdisciplinary research in 
environmental and ocean science and engineering such as marine robotics, 
sensing, structures, physics, acoustics, ecosystems, food, desalination, 
and renewable energy with fundamental expertise in one or more of these 
areas: learning for dynamics, nonlinear dynamical systems, computational 
modeling, physics-informed


machine learning, high dimensional statistics, 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 are committed to fostering interdisciplinary research that can 
address grand challenges facing our society. 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 and add to the diversity of the academic 
community. 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).

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. 
Prior to the start of the appointment, candidates must hold a Ph.D. in a 
field related to Engineering, Physics, Data Science, Computer Science, 
or Applied Mathematics or a similar discipline by the beginning of 
employment.

In addition to this search, the Mechanical Engineering department has 
positions available broadly in mechanical engineering: 
http://meche.mit.edu/faculty-positions. 
<http://meche.mit.edu/faculty-positions>

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. 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: 
_https://school-of-engineering-faculty-search.mit.edu/meche-scc 
<https://school-of-engineering-faculty-search.mit.edu/meche-scc>_ by 
December 1, 2020 when review of applications will begin.

MIT is an equal-opportunity/affirmative action employer. Women and 
underrepresented minorities are especially encouraged to apply.

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