*Professor of Practice, Computation and Data Analytics*
The Department of Industrial and Systems Engineering (ISE) invites
applications for a full-time, non-tenure track Professor of Practice in
Computation and Data Analytics. We welcome applicants with an established
strength in Data Analytics and/or High-Performance Computing and a degree
in any ISE-relevant discipline, including industrial engineering,
operations research, systems engineering, and computer science. A Ph.D is
preferred, but exceptional candidates with an MS will be considered. The
primary duties of this position will involve the teaching of courses
related to both data analytics and computation at both the undergraduate
and masters levels. Additional duties may include mentoring students in
industry and other research projects and theses; developing industry and
government partnerships to increase the ISE department's intellectual
footprint; serving as academic advisor; helping to maintain and develop the
department's computational facilities; and contributing to curriculum
development. Participation in collaborative research projects is also
possible.
The department is undergoing significant growth in various areas of
operations research, data analytics, and computing. Current research
thrusts include (1) optimization, (2) high-performance computing, (3) data
analytics (machine learning, data mining), (4) supply chain management, (4)
financial engineering, (5) healthcare systems engineering, and (6)
stochastic processes. Recent hires have joined the Department in these and
related areas with specializations in computational optimization, parallel
and grid computing, robust optimization, financial engineering, supply
chain analysis, and stochastic processes.
Established in 1926, the ISE Department currently has 20 full-time faculty
members, 165 undergraduate and 260 graduate students, 40 of whom are Ph.D.
students. We offer comprehensive research and education programs at the
B.S., M.S., and Ph.D. levels. The ISE faculty maintains an outstanding
international reputation in a variety of research areas. Active research
topics include discrete optimization, nonlinear optimization, interior
point methods, conic linear optimization, high performance computing,
financial engineering, and a variety of topics in logistics and supply
chain analysis.
The Department maintains excellent computational and laboratory facilities,
including a parallel computing cluster and other associated computing
infrastructure housed in a brand new state-of-the-art facility maintained
as part of the Laboratory for Computational Optimization Research. The
department is also linked to powerful central facilities dedicated to high
performance computing through a campus-wide computational grid. Annual
research expenditures exceed $3 million. The Department has extensive
interdisciplinary ties with the business school through the Center for
Value Chain Research, and with the finance and mathematics departments
through the Analytical Finance program.
For 150 years, Lehigh University has combined outstanding academic and
learning opportunities with leadership in fostering innovative research.
The institution is among the nation's most selective, highly ranked private
research universities. Lehigh's four colleges provide graduate and
undergraduate education to approximately 7,000 students. Located in
Bethlehem, Pennsylvania, Lehigh is 80 miles west of New York City and 50
miles north of Philadelphia, providing an accessible and convenient
location that offers an appealing mix of urban and rural lifestyles.
All applications must be submitted through AcademicJobsOnline.org. Review
of applications will begin December 1, 2015 and applicants should submit
materials by then for full consideration. The application should include a
cover letter, a statement of research and teaching interests, a curriculum
vitae, names and addresses of at least three references, and representative
research paper(s). Inquiries may be addressed to Professor Ted Ralphs,
Search Committee Chair, ted@lehigh.edu.
--
Dr. Ted Ralphs
Professor, Lehigh University
(610) 628-1280
ted 'at' lehigh 'dot' edu
coral.ie.lehigh.edu/~ted
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