Tenured/Tenure line Positions in Interdisciplinary Research "and" AI (ICDS Co-hire)

APPLICATION INSTRUCTIONS: 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. 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. 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, see  Notice to Out of State Applicants . POSITION SPECIFICS The Institute for Computational and Data Sciences (ICDS) at Penn State University is hiring multiple Tenure-track or Tenured faculty as part of the second year of an ambitious multi-year cluster hire in AI across multiple university campuses.

These faculty will complement a strong cohort of over 30 existing AI faculty plus many more whose work leverages AI to advance the sciences and engineering. The focus of this year’s search is on faculty with expertise in AI + Materials, AI + Health, and Foundations of AI . Ideal candidates’ research will focus on AI + X , meaning faculty who advance AI methods to solve scientific problems in different disciplines (X), rather than X + AI, where faculty use existing methods.

The successful candidates will join a vibrant, interdisciplinary research community at Penn State and will have collaborative opportunities and access to extensive resources offered by the interdisciplinary research institutes. As a joint appointment, successful candidates will be expected to contribute to both their tenure home units and to ICDS. Faculty members in these positions will be expected to develop nationally recognized research programs, contribute to excellence in education, and engage in collaborative, interdisciplinary scholarship.

The tenure home and specific requirements will be based on the specific position(s) applied for and the successful candidate’s expertise. Applicants should submit a single PDF through the application portal containing the following materials in this order: cover letter, teaching statement, research statement, the names and contact information for four references, and their curriculum vitae. The cover letter should explicitly specify the area(s) and department(s) to which the applicant is applying (see below for information about calls for each department).

Applicant review will begin in October 2026. For full consideration, please submit applications no later than December 7, 2026. For Questions, contact ICDS director Guido Cervone ( icds@psu.edu ). Penn State Academic Ranks Defined: Assistant professors should show early promise in teaching or research through emerging scholarly or professional contributions. Associate professors should have a record of high-quality publications and demonstrate teaching excellence in their field.

Full professors should demonstrate a distinguished record of advanced work and leadership, reflecting established excellence in teaching, mentoring, and/or research. AI + Materials Department of Materials Science and Engineering, College of Earth and Minerals Science, University Park, PA : An Assistant , Associate , or Full Professor whose research and teaching advance interdisciplinary materials science by adopting advanced methods in artificial intelligence (AI), machine learning (ML), and data-driven research to generate new fundamental science and accelerate materials innovation.

The research will be accompanied by department service and teaching that reflects both ML/AI approaches and the traditional tenets of Materials Science and Engineering. The successful candidate will develop, manage, and sustain an active extramurally funde