Assistant Professor - Fintech and Cyber Risk - Industrial Engineering & Operations Research

Assistant Professor
The Department of Industrial Engineering & Operations Research (IEOR) at the University of California, Berkeley, welcomes applications for a full-time tenure-track Assistant Professor. We are searching for candidates conducting fundamental and applied research in stochastic modeling, machine learning, game theory, optimization, or operations management, with demonstrated commitment and interest in applications within risk management and financial technology (FinTech).
The successful candidate will teach courses within the professional Masters of Engineering (MEng) program at the Fung Institute for Engineering Leadership, the Masters of Analytics (MAnalytics) program, and in IEOR. The position involves teaching at all levels from undergraduate courses to advanced graduate seminars, and supervision of graduate students. Teaching responsibilities will also include curriculum design and development for the Professional MEng or MAnalytics degree.
The department offers bachelor’s, master’s, and doctoral degrees. It is at the forefront of research and teaching of operations research and analytics methods, as well as the advancement of quantitative solutions in the areas of healthcare, logistics and transportation, supply chains, energy, security, finance, and e-commerce. The department has strong ties with other departments in the UC Berkeley College of Engineering, and enjoys close relationships with the College of Computing, Data Science, and Society; the Haas School of Business; and the department of Mathematics. To learn more about IEOR and its programs, please visit
IEOR Department website
.
UC Berkeley values the family needs of faculty, including dual career couples, single parents, or those who may have taken time off for family reasons. For information about potential relocation to Berkeley, or career needs of accompanying partners and spouses, please visit the
Office for Faculty Equity and Welfare's website

Department
:
https://ieor.berkeley.edu/

Basic qualifications
(required at time of application)
PhD (or equivalent international degree), or enrolled in PhD or equivalent international degree-granting program at the time of application

Preferred qualifications
A wide variety of academic backgrounds and applicants from all IEOR research areas will be considered, with an emphasis in financial technology applications, broadly defined. The ideal candidate will have experience with state-of-the-art methods, tools, and software.
Candidates should have the potential to develop a strong record of research, teaching, and service, as well as the interest and ability to pursue industrial interaction and research funding from industrial and/or governmental sources.

Document requirements
Curriculum Vitae - Your most recently updated C.V.
Cover Letter
Statement of Research - Please discuss research accomplishments and proposed plans. This can include, for example, your publication record, awards, presentations, and areas for future research.
Statement of Teaching, Mentoring, and Service - Please discuss prior teaching experience, teaching approach, and future teaching interests. Please also discuss your mentoring experiences and approach. Please discuss specific prior and proposed academic, professional and/or public service activities. This can include, for example, participating in professional or scientific associations, and/or serving on committees that advance department, campus, or discipline goals.
Most relevant publications - A minimum of one publication, working paper is acceptable.
Most relevant publications - Additional publications: applicants are encouraged to upload these optional documents if available.
(Optional)
Reference requirements
3 letters of reference required
Apply link:
https://aprecruit.berkeley.edu/JPF05519

Help contact:
jillfujisaki@berkeley.edu