Master's degree in computer science or related discipline and 8 years of related experience.
Candidates with significant professional experience who do not currently possess the required terminal degree may still be considered.
Additional Job Description:
Special Instructions:
Please attach ALL documents under the Resume/CV section of your application. Please provide three professional references including name, title, phone number and e-mail address.
A copy of your transcript(s) may be attached to your application (if available). However, original transcripts are required prior to hire.
For questions or concerns regarding the status of your application, salary ranges, or other details pertaining to the position please contact Dr. Ibrahim Baggili at ibaggili@lsu.edu.
Posting Date:
April 21, 2026
Closing Date (Open Until Filled if No Date Specified):
October 18, 2026
Additional Position Information:
Background Check - An offer of employment is contingent on a satisfactory pre-employment background check.
Essential Position (Y/N):
LSU is an Equal Opportunity Employer.
All candidates must have valid U.S. work authorization at the time of hire and maintain that valid work authorization throughout employment. Changes in laws, regulations, or government policies may impact the university's ability to employ individuals in certain positions.
HCM Contact Information:
Benefits
Health insuranceDental insuranceVision insuranceFlexible schedule
Additional Information
All Job Postings will close at 12:01a.m. CST (1:01a.m. EST) on the specified Closing Date (if designated).
If you close the browser or exit your application prior to submitting, the application progress will be saved as a draft. You will be able to access and complete the application through "My Draft Applications" located on your Candidate Home page.
Job Posting Title:
Professional In Residence
Position Type:
Faculty
Department:
LSUAM Engineering - School of Computer Science and Engineering (Ibrahim Baggili (00076668))
Work Location:
3325 Patrick F. Taylor Hall
Pay Grade:
Academic
Job Description:
The Professional-in-Residence will be an experienced Artificial Intelligence practitioner who bridges academic instruction with current industry practice. This role delivers undergraduate and graduate courses in applied machine learning, generative AI, agentic systems, and cloud- and GPU-based AI infrastructure, ensuring students gain workforce-ready skills aligned with rapidly evolving technologies. The position also collaborates on research initiatives, contributes to externally funded projects, and mentors students in applied AI research and development while strengthening connections between the department and industry.
75% Teach undergraduate and graduate-level AI courses aligned with current and emerging industry practices, including applied machine learning, generative AI, agentic systems, cloud- and GPU-based AI infrastructure, and enterprise AI deployment.
25% Support and collaborate on research initiatives, contribute to externally funded projects, and mentor students in applied AI research and development.