Salary/Position Classification

• $70,000 – $85,000, Dependent on Experience, 9-month contract, Exempt
• 40 hours per week
• This position will work onsite at UND Grand Forks, ND campus

Purpose of Position

The School of Electrical Engineering and Computer Science (SEECS) at the University of North Dakota invites applications for a nine-month Teaching Assistant Professor in Data Science and Artificial Intelligence. The successful candidate will teach core undergraduate and graduate courses—including Machine Learning, Data Visualization, Data Mining, Applied Deep Learning, and Reinforcement Learning—implement high-impact instructional practices, and help launch the School’s new Ph.D. program in Artificial Intelligence.
The School of Electrical Engineering and Computer Science is housed in the College of Engineering and Mines and currently offers BS and MS degrees in Electrical Engineering, Computer Science, Data Science, and Cyber Security; PhD degrees are offered in Electrical Engineering, Artificial Intelligence, and Computer Science

This position aligns with UND’s strategic focus on emerging technologies. The successful candidate will ensure continuity in core Data Science and AI offerings, enhance student retention via active learning, and contribute to the Ph.D. in AI program.

Duties & Responsibilities

• Teach approximately 4/4 course load in areas including but not limited to data science, machine learning, and artificial intelligence.
• Develop new graduate AI courses required for the Ph.D. program.
• Implement high‑impact teaching practices to improve recruitment and retention.
• Mentor undergraduate and graduate students in projects and research.
• Participate in departmental service, assessment, and outreach.
• Roughly 10 % effort may be allocated to Data Science and/or applied AI research.

Required Competencies

• Excellent written and verbal communication skills
• The ability to teach, inspire, and mentor students 
• Effective interpersonal skills, including the ability to collaborate effectively with faculty, staff, and students
• Competent in using technology and able to adopt new tools for both on-campus and online course delivery.
• Excellent written and verbal communication skills
• The ability to teach, inspire, and mentor students
• Effective interpersonal skills, including the ability to collaborate effectively with faculty, staff, and students
• Competent in using technology and able to adopt new tools for both on-campus and online course delivery.

Minimum Requirements

• Ph.D. in Computer Science, Data Science, Artificial Intelligence, or a closely related field.
• Experience teaching data‑science and/or AI‑related courses.
• Successful completion of a Criminal History Background Check

In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the US and to complete the required employment eligibility verification form upon hire. 

Preferred Qualifications

• Experience teaching both undergraduate and graduate courses.
• Industry experience in applied machine learning or artificial intelligence.
• Record of course development.
• Peer‑reviewed publications or externally funded projects in Data Science, AI/ML.
• Experience mentoring students and supervising student research projects/independent studies
  
  
  

To Apply

To assure full consideration, applications must be received by October 15, 2025 and include the following materials:

• Cover letter
• Curriculum vitae
• Two‑page statement of teaching philosophy and teaching interests
• Contact information for three references
• Unofficial transcripts (official transcripts required upon hire)
  
  

Position remains open until filled.

Direct questions to Dr. Mohammad Rasouli (School Director) at mohammad.rasouli@und.edu.