[Iefac.list] Faculty Positions in the UNIST Department of Industrial Engineering

Chiehyeon Lim freechon at gmail.com
Thu Oct 6 08:29:15 EDT 2022


*Tenure-track Faculty Positions in the UNIST Department of Industrial
Engineering*



Ulsan National Institute of Science and Technology (UNIST) was founded in
2009 as the fourth National Institute of Science and Technology in South
Korea. Since its opening, UNIST has become a top-ranked research institute
in South Korea and one of the world’s leading universities in science and
technology, despite being younger than its peers.



The Department of Industrial Engineering at UNIST was established in 2016
to counter a lack of related skills in the metropolitan city of Ulsan, the
hub of Korean industry, where more than one million people live. Since
2018, the department has focused on the field of Data Science and developed
strong undergraduate, MSc, and Ph.D. programs focusing on data-driven
decision making.



The department is seeking applicants for multiple full-time, tenure-track
or tenured faculty positions expected to begin in 2023 (any time).
Appointments can be made at the Assistant Professor, Associate Professor,
and Professor ranks, commensurate with the individual’s records. Candidates
should have a Ph.D. (or near completion of the degree for assistant
professor-level applicants) in closely related disciplines (e.g.,
Industrial Engineering, Statistics, Computer Science) and demonstrate
strong competence in research and teaching.



The department is currently searching for faculty candidates with the
Graduate School of Artificial Intelligence at UNIST. Successful candidates
are expected to lead excellent research in the areas of Data Science with
two positions in the Department of Industrial Engineering and the Graduate
School of Artificial Intelligence. As such, the department welcomes
candidates who pursue publications in top journals and/or top conferences
related to Data Science.



· Area: Methodological/theoretical areas of interest include but are not
limited to statistics, stochastic optimization, machine learning, and data
mining. Application domains of interest include but are not limited to
healthcare, manufacturing, and logistics.

· Note: UNIST is well-known as the best place for research and academic
growth. In particular, the Department of Industrial Engineering at UNIST,
where young and enthusiastic faculty members collaborate actively with
experienced senior members, prides itself on its culture, capabilities,
resources, and high-quality student body. The department searches for
researchers who pursue original research for academic excellence and real
impact, teachers who care for students, and talented and robust people
eager for continuous growth and achievement. Our hiring philosophy is that
instead of simply counting the number of publications, we seek applicants
with academic intelligence, integrity, grit, and potential for excellent
research and educational contributions.



The university offers a competitive compensation package. Faculty members
at UNIST receive the highest starting salaries among all universities in
Korea. Faculty members also receive generous start-up research grants and
comprehensive benefits, including modern on-campus housing and moving
expenses. In addition, a daycare center for children under the age 7 is
available on campus. The teaching load is six credits per year (two major
courses usually).



Interested candidates should apply electronically via
http://invite.unist.ac.kr. Candidates should provide (i) a current C.V.,
(ii) a list of references, (iii) one-page summary statements describing
research and teaching plans, and (iv) copies of five prominent research
results at most. In addition, please visit the websites at
https://ie.unist.ac.kr/ and https://aigs.unist.ac.kr for information about
the Department of Industrial Engineering and the Graduate School of
Artificial Intelligence, respectively.



Faculty members from the department will be available to meet candidates at
the 2022 INFORMS Annual Meeting in Indianapolis. Please get in touch with
Professor Sungil Kim at sungil.kim at unist.ac.kr. Candidates should reach out
to the committee before October 15 to be considered for one of these
interviews.


Thank you.



Chiehyeon Lim, Ph.D.

Associate Professor

Service Engineering & Knowledge Discovery Lab (http://service.unist.ac.kr/)

Department of Industrial Engineering, Graduate School of Artificial
Intelligence

Ulsan National Institute of Science and Technology (UNIST)
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