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Pennsylvania State University – Assistant Professor
Company NamePennsylvania State University
Position TitleAssistant Professor
Company Information
The Department of Statistics at Penn State has a history of excellence in both theoretical and applied statistics, with collaborative ties across the university. The University Park campus is located in State College, a welcoming and family friendly university town in central Pennsylvania, recently ranked "Best Small College Town" by USA Today.
Duties and Responsibilities
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.
Within this search the Department of Statistics seeks to hire an Assistant Professor in Statistics with a research emphasis on AI and Machine Learning for health data science, with applications in areas such as neuroscience, environmental health, and the social determinants of health. The successful candidate will contribute to interdisciplinary research in health analytics and develop new statistical and computational methodology at the interface of AI, population health, and societal impact. Applicants will be expected to develop an independent research program and will contribute to the department’s and college’s teaching and service mission. Competitive applicants for the rank of Assistant Professor must possess a Ph.D. (or equivalent terminal degree) in Statistics, Biostatistics, Bioinformatics, Data Science, Machine Learning, or a closely related field before their appointment start date at Penn State.
The Department of Statistics at Penn State has a history of excellence in both theoretical and applied statistics, with collaborative ties across the university. The University Park campus is located in State College, a welcoming and family friendly university town in central Pennsylvania, recently ranked "Best Small College Town" by USA Today. Questions about the position and the Department of Statistics at Penn State may be directed to Professor Nicole Lazar, Department Head, at nfl5182@psu.edu.
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.
Applicants should submit a single PDF through the application portal (https://psu.wd1.myworkdayjobs.com/en-US/PSU_Academic/job/Penn-State-University-Park/Tenured-Tenure-line-Positions-in-Interdisciplinary-Research--and--AI--ICDS-Co-hire-_REQ_0000082162-1) 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.
Applicant review will begin in October 2026. For full consideration, please submit applications no later than December 7, 2026.
Position Qualifications
Ph.D. (or equivalent terminal degree) in Statistics, Biostatistics, Bioinformatics, Data Science, Machine Learning, or a closely related field before their appointment start date at Penn State.
Application Instructions
Applicants should submit a single PDF through the application portal (https://psu.wd1.myworkdayjobs.com/en-US/PSU_Academic/job/Penn-State-University-Park/Tenured-Tenure-line-Positions-in-Interdisciplinary-Research--and--AI--ICDS-Co-hire-_REQ_0000082162-1) 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.
Applicant review will begin in October 2026. For full consideration, please submit applications no later than December 7, 2026.