Associate Research Professor

APPLICATION INSTRUCTIONS: 1. CURRENT PENN STATE EMPLOYEE (faculty, staff, technical service, or student), please login to Workday to complete the internal application process. Please do not apply here, apply internally through Workday. 2. CURRENT PENN STATE STUDENT (not employed previously at the university) and seeking employment with Penn State, please login to Workday to complete the student application process. Please do not apply here, apply internally through Workday. 3. If you are NOT a current employee or student, please click "Apply" and complete the application process for external applicants. Approval of remote and hybrid work is not guaranteed regardless of work location.For additional information on remote work at Penn State, seeNotice to Out of State Applicants. This is a term position; length of the term will be discussed during the interview process. Continuation past the termlengthdiscussed willbebasedonuniversityneed,performance,and/oravailabilityoffunding. POSITION SPECIFICS The Department of Informatics and Intelligent Systems in the College of Information Sciences and Technology (IST) at The Pennsylvania State University invites applications for an Associate Research Professor position in Artificial Intelligence and Applications, beginning in January or July 2027 at the University Park campus in State College, Pennsylvania. This is a non-tenure-line, one-year appointment with a mix of research and teaching responsibilities. Fully remote appointments are not permitted for this position. The faculty member hired for this position will be expected to teach two courses in the College of IST each semester and conduct research contributing to an NSF-funded project developing machine-learning methods for segmenting stomata and surrounding cells in 3D plant microscopy images. Candidates must have a Ph.D. in computer science, electrical engineering, or a related field, with expertise in machine learning, computer vision, and image analysis. Experience with 3D biomedical imaging and scientific machine learning is preferred. Candidates should provide evidence of excellence in teaching at the university level. A commitment to teaching learners at all levels and from all backgrounds is essential. Applicants should include the following materials with their application: (i) a cover letter detailing their qualifications for the position; (ii) a curriculum vitae; and (iii) contact information for at least three professional references. In the cover letter, please indicate the specific courses from the Artificial Intelligence Methods and Applications and Data Science programs that you would be excited to teach. Please upload one document that combines the above materials into a single PDF. Inquiries about the position may be directed to [email protected] . Review of applications will begin immediately and will continue until the position is filled. 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