Associate Professor Industrial & Mgmt. Systems Eng

The Department of Industrial and Management Systems Engineering invites applications for one tenured/tenure-track faculty position at the Associate/Assistant Professor levels starting in August 2026. The research and educational interests of the applicants should align with the departments core thrust in developing scalable trustworthy and human-centered AI-driven methodologies and solutions leveraging optimization machine learning statistical learning and reinforcement learning. Applicants are expected to apply these approaches to enable intelligent decision-makingin complex and smart infrastructure and socio-technical systems including autonomous systems cybersecurity healthcare sustainable energy logistics and public health. Minimum qualifications include a doctoral degree in industrial engineering computer science electrical engineering or a related field from an accredited research institution. Preferred qualifications include: 1) research expertise in one or more of the above areas; 2) a strong publication record in top-tier peer-reviewed journals/conferences and if seeking the associate professor rank a high citation h-index; 3) significant potential (or demonstrated record for associate level) for securing research grants and contracts from federal agencies and state/private sources as a principal investigator; 4) potential or a demonstrated ability to form multi-level interdisciplinary research collaborations; 5) a strong potential/record of successfully funding and mentoring doctoral students and/or post-doctoral scholars; and 6) demonstrated experience/potential for developing and teaching undergraduate and graduate courses. Successful candidates are expected to possess strong leadership and communication skills work effectively in teams integrate research education and service activities and be actively engaged in professional societies.

The IMSE Department currently has 16 full-time faculty members and offers BSIE MSIE and Ph.D. degrees in Industrial Engineering together with an M.S. degree in Engineering Management (MSEM) and an M.S. degree in Data Intelligence (MSDI) and is highly engaged in distance learning. The department currently hosts 266 undergraduates 125 masters and 27 full-time doctoral students. IMSE faculty have strong collaborations with other departments within the College of Engineering the Colleges of AI Cybersecurity and Computing Medicine Nursing Public Health Business and Arts & Sciences. The department has strong ties with various centers and institutes such as the Institute of Applied Engineering Center for Urban Transportation Research the H. Lee Moffitt Cancer Center and Research Institute Byrd Alzheimers Institute USF Sleep Research Center and with organizations outside of USF such as City of Tampa Tampa Electric Company Tampa General Hospital and James A. Haley Veterans Hospital.

Established in 1964 and currently led by Dean Levi Thompson the College of Engineering at the University of South Florida is ranked #56 among public institutions (#89 overall) by U.S. News & World Reports 2025 Engineering & Specialties Rankings. The college serves more than 3700 students offering nine bachelors programs as well as 12 masters and eight doctoral degrees. The college is actively engaged in local and global research activities with $46 million in research expenditure for the fiscal year 2023-2024. The college has 12 major research centers and institutes and is actively engaged in local and global research activities focused on sustainability biomedical engineering computing technology and transportation.

The University of South Florida is a high-impact global research university dedicated to student success. Over the past ten years no other public university in the country has risen faster in U.S. News and World Reports national university rankings than USF. Further USF joined the American Association of Universities (AAU) in 2023. Serving more than 50000 students on campuses in Tampa St. Petersburg and Sarasota-Manatee the Florida Board of Governors designated USF as a Preeminent State Research University placing it in the most elite category among the states 12 public universities. USF is a member of the American Athletic Conference. Learn more at.

An application package should include a cover letter indicating interest in a specific rank a complete curriculum vitae with a list of publications and research grants detailed contact information for four references a one-page statement of the applicants research vision and a one-page teaching cover letter should be addressed to Dr. Hadi Gard Search Committee Chair Industrial and Management Systems must electronically submit the application packet as one PDF file to the following website: will be reviewed on a rolling basis until the position is filled.

USF is an equal opportunity equal access academic institution that embraces diversity in the workplace. The University of South Florida does not discriminate on the basis of age disability genetic information national origin pregnancy race/color religion sex sexual orientation gender identity or any other unlawful basis. Dual career couples with questions about opportunities are encouraged to contact the Department chair. To request disability accommodations in the application and interview process please notify Melanie Salarbux at at least five working days in advance.

Pursuant to Title IX USF does not discriminate on the basis of sex in education programs or activities that it operates. Such protection extends to students employees admission and employment. Questions or inquiries concerning the application of Title IX may be referred to the Title IX Coordinator or to the U.S. Assistant Secretary for Civil Rights. The most current contact information for the USF Title IX Coordinator and resources can be found on the USF Title IX webpage at Qualifications:

Minimum qualification will be a doctoral degree either in industrial engineering electrical engineering computer science or a related field from an accredited research institution.

Preferred Qualifications:

Preferred qualifications include 1) Research expertise in one or more areas aligned with the departments core thrust including scalable trustworthy and human-centered AI-driven methodologies and solutions leveraging optimization machine learning statistical learning and reinforcement learning with applications in complex and smart socio-technical systems such as autonomous systems cybersecurity healthcare sustainable energy logistics and public health; 2) A strong publication record in top-tier peer-reviewed journals/conferences and if seeking associate professor rank a high citation h-index; 3) Significant potential (or demonstrated record for associate level) for conducting research funded by grants and contracts from federal agencies and state/private sources as a principal investigator; 4) Potential/demonstrated ability to form multi-level interdisciplinary research collaborations; 5) A strong potential/record of successfully funding and mentoring doctoral students and post-doctoral scholars; 6) Demonstrated experience/potential for developing and teaching undergraduate and graduate level courses particularly Ph.D. level courses. Successful candidates are expected to possess strong leadership and communication skills work effectively in diverse teams integrate research education and service activities and be actively engaged in leadership in one or more professional societies.