Job Description

Responsibilities include teaching undergraduate and graduate courses relating to artificial intelligence, developing a strong research program funded by external sources, supporting and mentoring undergraduate and graduate students, and providing service to the University and the profession along with other activities typical for a tenure-track faculty.

Minimum Qualifications:

A Ph.D. in computer science, or a closely related field, is required by the date of hire.

Applicants should demonstrate potential for establishing a record of excellence in teaching, contributions in research, and experience with collaboration.

Preferred Qualifications:

Research experience with deep learning architectures (including, but not limited to, recurrent, convolutional, attention, and transformer architectures).

Experience in training and evaluating generative models (e.g., transformer-based language models, diffusion models).

Willingness and ability to teach courses in data science, machine learning, and artificial intelligence.

Required Application Materials:

Please submit:

Cover letter addressed to the CS Search Committee indicating your interests and qualifications for this position

A CV that includes employment history (including dates of employment)

Statements of research and teaching interests

Provide three professional references with contact information.

Closing Date:

Review of applications will begin on November 11 and will continue until the position is filled.

Please contact Dr. Casey Kennington at [email protected] if you have any questions about this position.

Salary and Benefits:

Salary ranges from $100,000 to $110,000 (9-month contract) for Assistant Professor

Boise State University is committed to offering a benefits package that provides health and financial protection plans as well as resources to promote health and well-being. Our program provides flexibility so you can choose the benefits that are right for you and your family.

About the University and Department:

Boise State University has made a significant investment in the growth of the Department of Computer Science, with eighteen new faculty hires, a new building downtown, and several new undergraduate and graduate programs at both the Masters and Ph.D. levels, including programs in Cybersecurity, Data Science, Computer Science, and CMSE. This investment has enabled the department to more than triple in size over the last six years to 26 faculty (18 tenure-track) with 100+ graduates each year and 20-30 MS/PhD graduates each year. .