[asme-dtm] Job Opening: SETA position for Machine Learning and Optimization for Design supporting ARPA-E's new programs

  • From: Mark D Fuge <fuge@xxxxxxx>
  • To: asme-dtm@xxxxxxxxxxxxx
  • Date: Fri, 8 Mar 2019 09:52:59 -0500

Dear DTM Community,

Booz Allen Hamilton is looking to hire a PhD-level scientist as a Systems
Engineering and Technical Assistance (SETA) contractor to work closely with
ARPA-E to support a new program on using Machine Learning to improve design
processes and tools for energy-related product design. They are looking for
capable, post-PhD scientists and engineers who have exposure/background in
some subset of design optimization, machine learning, generative design,
physics simulation, etc. that can assist in new programs in these areas in
the years to come. AI/ML for design/operations/maintenance enhancement has
become an increasingly important theme within ARPA-E (and DOE at large), so
future growth opportunities would abound for anyone with a background at
that intersection; that is, the role would not be only limited to a single
program. They are looking for people to start anytime from the near
future/now through the summer depending on the quality of the applicant.
The position would be based in/around Washington, DC.

If any candidates are interested in this, you can apply to it via the
following link:
https://careers.boozallen.com/en-US/job/machine-learning-and-optimization-design-engineer-senior/J3N73T6WFD2Y2C9RB58
You can also email Geoffrey Short at short_geoffrey@xxxxxxx for further
information on the position and requirements if you are unsure. If you are
unfamiliar with what SETA roles entail and what the job is about, you can
also email Geoffrey to discuss. Or, if doing so would make you feel
uncomfortable, you can also ping me and I can give you a brief rundown of
what those roles mean. In brief, if you like having a broad purview of and
being exposed to various technical areas in design/engineering and seeing
how the internals of large funding/research programs run and are designed,
I think you would find the position interesting. Personally, I think that
capable scientists who have conducted research in the ASME design community
(particularly in DTM, DAC, CIE, and DFMLC) would be excellent candidates
for what they have in mind.

All the best,

Mark Fuge
Assistant Professor of Mechanical Engineering
Affiliate Faculty, Institute for Systems Research
Member, Maryland Robotics Center
Member, Human-Computer Interaction Lab
University of Maryland
2172 Glenn L. Martin Hall, College Park, MD 20742
(301) 405-2558 | http://ideal.umd.edu ;| http://designmeetsdata.com/
Latest Papers/News RSS feed: http://ideal.umd.edu/rss.xml

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  • » [asme-dtm] Job Opening: SETA position for Machine Learning and Optimization for Design supporting ARPA-E's new programs - Mark D Fuge