DEPARTMENT: Engineering or Science
POSITION: Multiple Positions for Assistant and Full Professor (Tenure-Track or Tenured)
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Purdue University Colleges of Engineering and Science
Faculty Openings in Predictive Science & Engineering for
Decision-Making
The College of Engineering and the College of Science at
Purdue University have identified predictive science & engineering for
decision-making in the field of material/product co-design as a strategic area
for multi-disciplinary discovery and learning. We are currently accepting
applications to fill multiple positions for tenure-track and tenured positions
at the Assistant and Full Professor levels. The successful candidates will
conduct original research, will advise graduate students, will teach undergraduate
and graduate level courses, and will perform service both at the School and
University levels. Candidates with experience working with diverse groups of
students, faculty, and staff and the ability to contribute to an inclusive
climate are particularly encouraged to apply.
The ability to predict performance with quantified
confidence via an optimal combination of experiments, theory and simulation is
expected to lead to shorter and less costly development and certification
cycles for new materials enabling material/product co-design for a wide range
of applications. Purdue’s Predictive Science and Engineering initiative aims at
the synergistic integration of state-of-the-art modeling and simulation,
high-performance computing, uncertainty quantification, and design of
experiments to achieve this goal. The effort builds on Purdue’s strengths and
leverages capabilities in these areas in the Engineering and Science colleges
as well as Discovery Park.
Candidates must hold a Ph.D. degree in a field of Engineering
or Science related to the initiative. They should have a distinguished academic
record, exceptional potential for world-class research, and a commitment to
teaching and collaboration. Areas of interest include, but are not limited to,
the following: i) predictive, multi-scale modeling of materials and devices
including their processing and fabrication; ii) uncertainty quantification for
decision-making and design of physical and computational experiments; iii)
extreme-scale computing for science and engineering of materials; iv)
multi-fidelity, on-demand experimentation at the material and product level.
Experience or interest in multiple of these areas or related expertise is
sought. Individuals with a track record and interest in cross-discipline interactions
and broad impact across Engineering and Science are especially encouraged to
apply. The primary faculty appointment will be in a school of the College of
Engineering or a department of the College of Science and will depend on the
candidate’s qualifications; cross-department appointments are anticipated.
Candidates should submit their application online at:
http://eng.purdue.edu/PredictiveSE. The application should include a cover
letter, a complete and detailed vitae, and statements of research and teaching
interests. Also, please include names, addresses, telephone numbers, and e-mail
addresses for three or more references. For information/questions regarding
applications contact Marion Ragland, Faculty Recruitment Coordinator, College
of Engineering, at ragland@purdue.edu. Review of applications will begin
immediately and will continue until position is filled. A background check will
be required for employment in this position.
Purdue University is an EEO/AA employer fully committed to
achieving a diverse workforce. All individuals, including minorities, women,
individuals with disabilities, LGBTQ, and veterans are encouraged to apply.
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