[Job-offers-cs] Post-doctoral fellow in data science for engineering at Lehigh University
Pekka Orponen
pekka.orponen at aalto.fi
Thu Feb 6 17:57:24 EET 2020
-------- Forwarded Message --------
Subject: [DMANET] Post-doctoral fellow in data science for engineering
at Lehigh University
Date: Wed, 22 Jan 2020 16:39:16 -0500
From: Ted Ralphs <ted at lehigh.edu>
To: dmanet at zpr.uni-koeln.de
https://idisc.lehigh.edu/opportunities
*Postdoctoral Fellow in Data Science for Engineering*
We invite applications for a postdoctoral fellow position at Lehigh
University to work with a multidisciplinary team of researchers
exploring data scientific tools for inference and control of engineering
systems. We are looking for a postdoctoral fellow who is excited about
working in a collaborative environment to help advance a multifaceted
research project.
*More about the research team*
Our data-driven inference and control team is part of Lehigh
University’s new Institute for Data, Intelligent Systems and Computation
(I-DISC). This university-funded initiative brings faculty from across
colleges at Lehigh University to study issues related to data science
and artificial intelligence. This is comprised of faculty from
Electrical and Computer Engineering, Computer Science, Civil
Engineering, and Industrial and Systems Engineering. Our collaborative
effort aims to develop data scientific tools for robust, real-time,
explainable decision making in graphical dynamical systems. Our goal is
to address the growing complexity of infrastructural systems by
developing new operational paradigms that bring together the strengths
of machine learning, artificial intelligence, and optimization in
processing large volumes of multi-modal data real-time with the
well-formulated physical models of engineering system operations.
*Skills & Experience*
We are hiring a postdoctoral fellow to join our multidisciplinary team.
We seek a researcher with strong methodological foundations in data
science, and research interests in foundational or emerging areas,
including machine learning, statistical signal processing, scalable
information retrieval and inference, graphical modeling, dynamical
systems, and reinforcement learning. Prior research experience in
infrastructural systems such as those in energy, transportation, etc.,
is a plus.
*Qualifications*
Successful applicants will have a doctoral degree in an engineering or
computational science field related to the research project prior to the
start date and relevant research experience. In addition, demonstrated
proficiency in verbal and written communication skills and the ability
to work in a collaborative, multidisciplinary team are required.
*Position*
The postdoctoral fellow will work in an interdisciplinary team that
includes Prof. Parv Venkitasubramaniam and Prof. Rick Blum (Electrical
and Computer Engineering), Prof. Hector Munoz-Avila, Prof. Brian
Davison, Prof. Jeff Heflin, and Prof. Sihong Xie (Computer Science and
Engineering), Prof. Ted Ralphs (Industrial and Systems Engineering) and
Prof. Paolo Bocchini (Civil and Environmental Engineering). The position
will include opportunities to gain experience in multidisciplinary
research, to build skills in grant writing, and to participate in
synergistic activities with other research clusters at the I-DISC
Research Institute.
*Start Date*
The start date is negotiable, but we would like to fill the position as
soon as possible.
The initial appointment will be for 12 months, and extensions may be
provided conditional upon achievement of the required objectives.
Compensation will be commensurate with experience.
*How to apply*
Interested applicants should submit a cover letter, curriculum vita, a
brief statement of research accomplishments, and contact information for
at least three references.
Please email application materials to: Sarah Wing at idisc at lehigh.edu or
send by mail to: Sarah Wing, Business Manager, I-DISC, Building C Rm
229, 113 Research Drive, Lehigh University, Bethlehem PA 18015, USA
Review of applications will continue until the position is filled.
Lehigh University is an affirmative action/equal opportunity employer
and does not discriminate on the basis of age, color, disability,
gender, gender identity, genetic information, marital status, national
or ethnic origin, race, religion, sexual orientation, or veteran status.
--
Dr. Ted Ralphs
Professor, Industrial and Systems Engineering
Lehigh University
(610) 628-1280
ted 'at' lehigh 'dot' edu
coral.ie.lehigh.edu/~ted
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