University of HoustonAbout this role
Department: Industrial & Systems
EngineeringSalary: Commensurate with experience
Description:
The Department of Industrial & Systems Engineering (ISE) at
the University of Houston invites applications for a tenure-track
faculty position at the Assistant Professor rank, specializing in
AI/Machine Learning, beginning in Fall 2027. Successful candidates
will be expected to establish or sustain a nationally recognized,
externally funded research program; teach undergraduate and
graduate courses; mentor students; and contribute to professional,
departmental, college, and university service. Candidates should
have a strong methodological foundation and research expertise in
at least one of the three areas: research, teaching and
service.
Qualifications: Applicants must hold a Ph.D. in
industrial and systems engineering or a closely related field by
the appointment date. Successful candidates are expected to
establish a nationally recognized, externally funded research
program and contribute to the department’s teaching mission.
Candidates must demonstrate strong potential for excellence in
scholarship, teaching, and service and for securing competitive
research funding.
The Department: The ISE Department has 24
full-time faculty members and approximately 900 students enrolled
in bachelor’s, master’s, and doctoral degree programs. The
department is experiencing rapid growth in both research activity
and student enrollment. Faculty members have opportunities to
collaborate with colleagues across the university and in the
Houston community in areas including supply chain, logistics,
transportation, energy, power systems, resilience, smart cities,
sustainability, and manufacturing.
The University: UH is a Carnegie-designated Tier
One public research university and the flagship institution of the
UH System. With more than 49,000 students, UH is consistently
recognized for its commitment to academic excellence, research
innovation, and community engagement. The university maintains
strong collaborations with the world-renowned Texas Medical Center,
NASA’s Johnson Space Center, and Houston’s energy, healthcare, and
technology industries. Faculty enjoy access to outstanding research
facilities, opportunities for cross-disciplinary collaboration, and
strong support for securing competitive external funding.
The City of Houston: Located on a 600-acre campus
near downtown, the University of Houston is situated in the
nation’s fourth-largest city. Houston is a global center for
energy, healthcare, manufacturing, engineering, technology, and
biomedical innovation. The region offers a dynamic economy, major
league sports, and year-round outdoor activities.
Application Submission: Applications will be
reviewed on a rolling basis until the positions are filled, with
full consideration given to those received by December 1.
Applicants should submit (1) a cover letter highlighting the
candidate’s strengths and interest in the position, (2) a
curriculum vitae, (3) a statement of teaching interest, and (4)
names and contact information of three references. Applications
must be submitted online at https://uh.edu/human-resources/careers/.
Employees are expected to have a home address in the state of
Texas for the duration of their appointments.
Official transcripts are required for a faculty appointment and
will be requested upon selection of the final candidates.
All positions at the University of Houston-System are security
sensitive and will require a criminal history check. Individuals
conducting research in critical infrastructure areas (i.e.,
communication infrastructure systems, cybersecurity systems,
electric grid, hazardous waste treatment systems, and/or water
treatment facilities) are subject to regular review to ensure the
security and integrity of the research is maintained.
The University of Houston System and its universities are Equal
Opportunity Institutions. Everyone is encouraged to apply.
Company:
University of Houston
Level of experience (years):
Senior (5+ years of experience)
How to apply:
Please mention NLP People as a source when applying