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University of Connecticut – Postdoctoral Research Associate
Company NameUniversity of Connecticut
Position TitlePostdoctoral Research Associate
Company Information
The University of Connecticut is ranked first among public universities in New England and in the top 20 nationwide. It is located in northeastern Connecticut, with easy access to Boston and New York City. The University’s Department of Statistics is a vibrant, collaborative environment that will provide exposure to a vast array of research areas.
Duties and Responsibilities
The Postdoctoral Research Associate will work under the mentorship of Dr. Ofer Harel and will potentially collaborate with his collaborators across the university and the medical and dental schools. We seek candidates with strong analytical, computational, and communication skills. While a background in medical imaging or electronic health records (EHR) is beneficial, it is not required.
Position Qualifications
MINIMUM QUALIFICATIONS
Ph.D. in Statistics, Biostatistics, Computer Science, Data Science, Information Science, or a closely related field (completed by start date).
Demonstrated research experience in statistical/mathematical foundations relevant to modern data science (e.g., Bayesian or frequentist inference, information theory, uncertainty quantification, high-dimensional methods).
Programming skills in Python and/or R, with evidence of producing well-structured, user-friendly, reproducible research code (e.g., packages, documented pipelines, open-source contributions, or similar).
Written and oral communication skills, with the ability to work effectively in an interdisciplinary team.
PREFERRED QUALIFICATIONS
Experience with one or more of the following: knowledge graphs, graph machine learning, link prediction, representation learning/embeddings, probabilistic graphical models, or causal/relational inference.
Background or strong interest in meta-research / scientometrics / scholarly communication, including citation-based analysis, claim/evidence modeling, or evaluation of research impact and novelty.
Experience working with large-scale scholarly datasets and infrastructure (e.g., corpus construction, entity resolution, graph databases, text-mining/NLP pipelines).
Experience developing research software that supports end users, including building web-based tools/platform features, APIs, dashboards, and deployable prototypes (level of depth can vary).
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).
Evidence of strong collaborative instincts and experience engaging with diverse faculty, students, and research stakeholders.
Benefits
This is a full-time, 12-month position and may be renewed annually based on performance and availability of funds. It is anticipated that there will be 2-3 years of funding to support this position. The incumbent will start as soon as possible, with the latest start date of fall 2026.
Other rights and terms and conditions of the appointment are contained in the collective bargaining agreement between the University of Connecticut and the International Union, United Automobile, Aerospace, and Agricultural Implement Workers of America (UAW), Local 6950.
TERMS AND CONDITIONS OF EMPLOYMENT
Employment of the successful candidate is contingent upon the successful completion of a pre-employment criminal background check.
Position or Company Websiteuconn.edu
Application Instructions
TO APPLY
Please apply online at https://hr.uconn.edu/jobs, Staff Positions, Search #499493 to upload a resume, cover letter, and the contact information for three (3) professional references. Two reference letters may be requested later. For questions, please contact Mackenzie Murphy (Mackenzie.murphy@uconn.edu).
Review of applications will begin on April 9, 2026, and continue until the position is filled.
All employees are subject to adherence to the State Code of Ethics which may be found at https://portal.ct.gov/Ethics/Statutes-and-Regulations.