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.

This is a term position; length of the term will be discussed during the interview process. Continuation past the term length discussed will be based on university need, performance, and/or availability of funding.

 

POSITION SPECIFICS

The Department of Statistics at The Pennsylvania State University, invites applications for a Postdoctoral Scholar position in the research group of Dr. Aleksandra (Sesa) Slavkovic. Potential research projects include (but are not limited to) work on various statistical aspects of data privacy methodology, including validity of inference, measurement error, nonparametric statistics, causal inference, synthetic data, reproducibility, intersection of AI and data privacy, and work with survey, census, health/genomic and other complex data. The scholar will have an opportunity to collaborate with other researchers, and mentor graduate and undergraduate students, and may also teach one course per year for the Department of Statistics.

 

Education and Experience

A Ph.D. in Statistics, Biostatistics, Machine Learning, or a directly related field at the time of appointment is required. The successful applicants will be expected to have a strong statistical and computational background, research experiences showing independence and innovation, and demonstrated academic writing and communication skills. Experience designing or using AI-assisted research workflows (e.g., LLM-supported literature synthesis, structured extraction of claims/evidence, reproducible AI-in-the-loop pipelines, or evaluation/verification of model-generated outputs) is preferred.

Additional Information

Applicants must complete the Penn State application and must submit an application through Mathjobs.org (https://www.mathjobs.org/jobs/list/28282) with the following materials in order for the application to be complete: (1) Curriculum Vitae; (2) Statement of Research Experience and Interests; (3) Names and Contact Information for three references.

 

Review of applications will begin immediately and continue until the position is filled. Following a screening of initial application materials, candidates will be contacted by email asking for letters of reference to be sent. Informal inquiries about this search may be directed to Dr. Aleksandra Slavkovic (sesa@psu.edu).

 

BACKGROUND CHECKS/CLEARANCES

Employment with the University will require successful completion of background check(s) in accordance with University policies.

 

 

 

BENEFITS

Penn State provides a competitive benefits package for full-time employees designed to support both personal and professional well-being.

 

For more detailed information, please visit our Benefits Page. (Note: For Postdoctoral benefits, please see our Postdoctoral Benefits page.)

 

CAMPUS SECURITY CRIME STATISTICS

Pursuant to the Jeanne Clery Disclosure of Campus Security Policy and Campus Crime Statistics Act and the Pennsylvania Act of 1988, Penn State publishes a combined Annual Security and Annual Fire Safety Report (ASR). The ASR includes crime statistics and institutional policies concerning campus security, such as those concerning alcohol and drug use, crime prevention, the reporting of crimes, sexual assault, and other matters. The ASR is available for review here.

Penn State is committed to and accountable for advancing equity, respect, and belonging. We embrace individual uniqueness, as well as a culture of belonging that supports equity initiatives, leverages the educational and institutional benefits of inclusion in society, and provides opportunities for engagement intended to help all members of the community thrive. We value belonging as a core strength and an essential element of the university’s teaching, research, and service mission.

 

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