Associate Research Professor

Penn State University•University Park, IL

5d•Onsite

About The Position

The Department of Informatics and Intelligent Systems in the College of Information Sciences and Technology at The Pennsylvania State University invites applications for an Associate Research Professor in Artificial Intelligence and Applications. The position begins in January or July 2027 at the University Park campus in State College, Pennsylvania. It is a non-tenure-line, one-year term appointment combining research and teaching responsibilities. Fully remote appointments are not permitted. Continuation beyond the term discussed during the interview will depend on university need, performance, and/or funding availability. The faculty member will teach two courses in the College of IST each semester and conduct research contributing to an NSF-funded project developing machine-learning methods to segment stomata and surrounding cells in 3D plant microscopy images. Candidates must hold a Ph.D. in computer science, electrical engineering, or a related field, and have expertise in machine learning, computer vision, and image analysis. University-level teaching excellence and a commitment to teaching learners at all levels and from all backgrounds are essential. Experience with 3D biomedical imaging and scientific machine learning is preferred. Applicants must submit a cover letter detailing their qualifications, a curriculum vitae, and contact information for at least three professional references. The cover letter should identify specific courses from the Artificial Intelligence Methods and Applications and Data Science programs that the applicant would be excited to teach. All materials must be combined into one PDF. Employment requires successful completion of background checks in accordance with University policies.

Requirements

Ph.D. in computer science, electrical engineering, or a related field.
Expertise in machine learning, computer vision, and image analysis.
Evidence of excellence in teaching at the university level.
Commitment to teaching learners at all levels and from all backgrounds.
Successful completion of background check(s) in accordance with University policies.

Nice To Haves

Experience with 3D biomedical imaging.
Experience with scientific machine learning.

Responsibilities

Teach two courses in the College of IST each semester.
Conduct research contributing to an NSF-funded project developing machine-learning methods for segmenting stomata and surrounding cells in 3D plant microscopy images.