The University of Tulsa
Tulsa, Oklahoma, United States
(on-site)
30+ days ago

Description

Job Description

With the ambitious goal of becoming a research-intensive R1 institution and a top 75 school, the University of Tulsa (TU) is investing and expanding in several strategic research areas. To support this growth initiative, the newly formed College of Engineering and Computer Science ( ECS ) at the University of Tulsa will significantly increase its faculty in the next 5 years and seeks inspired, driven faculty to join us in this mission.

The University of Tulsa is located in Tulsa, Oklahoma with a population of over 1,000,000 in the metro area. With over $1.2 billion in endowment, The University of Tulsa is a private university with approximately 4,000 undergraduate and graduate students in the Colleges of Arts and Sciences, Business, Engineering and Computer Science, Health Sciences, and Law. TU is one of the top 100 private U.S. research institutions and Oklahoma's highest-ranked private university based on US News and World Report data. The College of Engineering and Computer Science has a global reputation in Energy and Cyber Security with long-standing scholarship for service programs supported by the NSF and the National Security Agency. TU also boasts a large-scale research facility that hosts numerous Industry/University partnerships and consortia for more than 50 years. The College is home to 52 tenured/tenure-track faculty and 18 teaching faculty and has six PhD programs, which produce excellent scientists and engineers for placement as professors and researchers at universities, industries across the nation and the world, and at national labs.

The College of Engineering and Computer Science invites applications for tenured or tenure-track faculty positions at the assistant, associate, or full professor level with expertise in autonomous systems, included but not limited to autonomous decision making under uncertainty, hybrid dynamical system verification, run-time assurance, multi-agent systems, swarm intelligence, and vehicle autonomy. The successful applicants will be required to teach; advise and mentor graduate students; develop a strong independent, externally funded research program; participate in all aspects of the department's activities; and serve the profession. Strong written and verbal communication skills are required.

Required Qualifications

Applicants must possess a doctorate in Engineering, Computer Science or related discipline. Applications by candidates from a range of technical disciplines, included but not limited to computer science, electrical and computer engineering, mechanical engineering and mathematics will be considered. Candidates with relevant non-academic experience are encouraged to apply.

Preferred Qualifications

Physical Demands

Minimal Physical Demands

Posting Detail Information

Posting Number
F133P

Open Date
09/08/2023

Close Date

Open Until Filled
Yes

Special Instructions to Applicants

Application reviews will begin on October 1st, 2023, and will continue until all positions are filled. It is anticipated the appointment will begin fall 2024.

Applicants should submit a cover letter, curriculum vitae, teaching statement, research statement, and a list of four (can be between 3 - 5) references (including postal addresses, phone numbers and email addresses).

Advertising Summary

EEO Statement

EEO Statement

Eeo Statement Summary

The University of Tulsa seeks to recruit and retain talented students, faculty and staff from diverse backgrounds. The University of Tulsa is an affirmative action/equal opportunity employer and encourages qualified candidates across all group demographics to apply. The University does not discriminate on the basis of personal status or group characteristic including, but not limited to race, color, religion, national or ethnic origin, age, sex, disability, veteran status, sexual orientation, gender identity or expression, genetic information, ancestry, or marital status. The University of Tulsa is an Equal Opportunity Employer including Disability/ Veteran.

Job ID: 72889033
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