*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@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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