Associate/Full Professor, Machine Learning 128720

Apply now Job no:495152
Work type:Faculty Full-time
Location:Pensacola - Main Campus
Categories:Intelligent Systems and Robotics

The University of West Florida is an Equal Opportunity/Access/Affirmative Action/Disabled/Veteran employer. Any individual requiring special accommodation to apply is requested to advise UWF by contacting UWF Human Resources at 1-850-474-2694 (voice) or 1-850-857-6158 (TTY). E-Verify is required for employment. All applications for employment at the University are subject to Florida public records law. 

Please review job requirements carefully.  Failure to submit all pieces of the application may result in disqualification. Applications are accepted on the University of West Florida career site: https://careers.uwf.edu . For assistance contact UWF Human Resources at 850-474-2694 or [email protected] .

Employment based visa sponsorship will be considered for this position.

Position Number: 128720
Position Title (Classification Title):  Associate/Full Professor, Machine Learning, Professor
Job Summary: The UWF’s Department of Intelligent Systems and Robotics seeks exceptional candidates for a full-time, tenured or tenure-track faculty position at the associate/full professor level. We are seeking for outstanding candidates in the area of Machine Learning (ML), and, while applications in all areas of ML will be considered, we will give preference to researchers focusing on Natural Language Processing and/or Reinforcement Learning. The successful candidate will have a strong record of securing external funding from organizations such as NSF and NIH and experience collaborating with industry partners. They will also be expected to work closely with the Institute for Human and Machine Cognition (IHMC) on pursuing DoD-funded research. Teaching responsibilities include graduate courses in the applicant's area of expertise. The faculty member will play a key role in shaping the department's emerging Ph.D. program and an interdepartmental research cluster in computational science. For research-focused candidates, a joint appointment with IHMC is possible. Overall, we seek an accomplished scholar who can enhance our department's national reputation and impact through innovative research, student mentoring, and DoD collaborations.

All tenured and tenure-track positions require a Ph.D. or equivalent degree in Computer Science, Electrical Engineering, Mechanical Engineering, or related areas from an accredited institution at the time of employment.

Department Intelligent Systems and Robotics
FLSA: Exempt
Minimum Qualifications: Doctorate degree in an appropriate area of specialization. Earned tenure and promotion in rank in the field of the doctorate. Successful administrative experience in higher education with demonstrated achievement in academic personnel budget administration and comprehensive academic planning. At least one position held for a period of not less than three consecutive years. A successful track record demonstrating an ability to work effectively in an environment of shared governance that relies on collegiality and consultative decision-making. Experience in and knowledge of processes planning and policy implementation related to accreditation is required.
Position Qualifications: Ph.D. in Computer Science, Electrical Engineering, Mechanical Engineering, or field closely related to intelligent systems and robotics from an accredited institution with a strong commitment to academic research, service and teaching.
Special Requirements or Considerations of the Job:

This position requires a criminal background screen.

Number of Vacancies 1
FTE 1.0
Salary Range Commensurate with qualifications and experience
Pay Basis Annually
Preferred Response Date: 02/2/2024
Special Instructions to Applicants: Candidates must apply online through the University of West Florida website: https://careers.uwf.edu. Applicants are required to attach a resume, cover letter and contact information for three references. *References will be contacted upon submission of this application. An opportunity to upload these documents will be provided during the application process. For assistance, please contact Human Resources at 850-474-2694 or email [email protected].

Advertised:September 17, 2023
Applications close:Open until filled

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