Postdoctoral Associate - Analytical Capabilities

SUNY Polytechnic
Utica, NY

Category: Research Foundation

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Department: College of Arts & Sciences

Locations: Utica, NY

Closes: Jul 31, 2026 - 11:59 PM EDT

Type: Full-time Temporary

Ref. No.: R26-01

Salary Type: Annually

Salary Range: $60,000.00 - $65,000.00

Position ID: 197626

Postdoctoral Associate - Analytical Capabilities

About SUNY Polytechnic Institute:

The Research Foundation for The State University of New York (RF) is the largest comprehensive university-connected research foundation in the country.

Our mission is to provide talent, services, and technology that empower SUNY to research, innovate, and transfer discoveries that transform the world's knowledge economy.

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The RF serves SUNY by providing essential administrative services that enable SUNY faculty to focus their efforts on the education of students and the performance of life-changing research across a wide range of disciplines including medicine, engineering, physical sciences, energy, computer science, and social sciences. We work with the academic and business leadership of SUNY campuses to support research and discovery through the administration of sponsored projects and technology transfer and management of intellectual property for public benefit and economic growth.

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Job Description:

Position Overview / Introduction to Lab / Center / PI

Job Title: Postdoctoral Associate - Analytical Capabilities

Office/Location: SUNY Polytechnic Institute

The Artificial Intelligence Exploration (AIX) Center at SUNY Polytechnic Institute seeks a postdoctoral associate to develop methods and metrics for evaluating how consultation with large language models affects analytical work products and team interaction patterns in complex information environments. The appointment is for one year, renewable based on funding and performance. The focus is on building infrastructure for capturing observable traces of human-AI interactions and developing evaluation frameworks for analytic quality. Applications span information campaign assessment, higher education advising systems, municipal policy development and other organizational decision-making contexts. The position involves collaboration with partner researchers examining information analysis from complementary disciplinary perspectives.

The successful candidate will join a multidisciplinary research team comprising mathematicians, physicists, engineers, and other faculty members at SUNY Polytechnic Institute. The position is based in Utica, NY.

Job Responsibilities
  • Design test suites modeling realistic analytical processes for comparing traditional and AI-augmented analysis
  • Build infrastructure for capturing observable traces of human-AI analytical interactions
  • Develop tools and metrics to quantify accuracy and efficiency of AI-augmented research
  • Operationalize analytic quality as measurable dimensions across multiple contexts
  • Conduct mixed-methods validation including controlled experiments, observational studies, and user research
  • Perform sequence analysis, network analysis, and pattern mining to identify team-level interaction motifs
  • Write and prepare papers for submission to peer-reviewed journals and conference proceedings
  • Participate actively in the preparation and writing of grant proposals
This position is contingent on the satisfactory completion of a background check; this position may require annual checks.

Salary: $60,000 - $65,000

Requirements:

Minimal Qualifications:

The successful candidate will hold a doctoral degree in computational social science, human-computer interaction, computer science, data science, social science, cognitive science, information science, or a closely related field, completed by June 1, 2026.

Required Skills:

Required skills include strong quantitative methods and data analysis, ability to build working analytical tools and technical infrastructure, ability to translate between technical implementation and analytical/organizational processes, strong communication and writing skills for interdisciplinary research, and creative problem solving with commitment to understanding AI-augmented work as a human experience.

Preferred Skills:

Preferred skills include experience with open-source LLM infrastructure or vendor-independent systems, background in decision-making research or collaborative work analysis, familiarity with information environments or narrative analysis, social network analysis or conversation analysis experience, track record of interdisciplinary collaboration and publications, and understanding of analytical workflows in complex information environments.

Additional Information:

Additional Information:

Research Foundation for SUNY Polytechnic Institute offers exceptional benefits such as healthcare, dental, vision, pension plans, competitive pay, generous paid time off, tuition assistance, life insurance and long-term disability insurance.

As an Equal Opportunity / Affirmative Action employer, Research Foundation for SUNY will not discriminate in its employment practices due to an applicant's race, creed, religion, color, citizenship, national origin, sex, age, sexual orientation, predisposing genetic characteristics, gender identification or expression, genetic information, familial status, marital status, pregnancy, status as a domestic violence victim, criminal conviction, disability, military status, disabled veteran, recently separated veteran, Armed Forces Service Medal veteran, active duty or wartime campaign badge veteran, or other characteristic as protected by law. Please feel free to review your equal employment opportunities protections and laws pertaining to these protections at

The Company will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant.

Review of applications will begin immediately and continue until the position is filled.

Research Foundation employees are subject to restrictions related to participation in Foreign Government Talent Recruitment Programs, as defined and detailed in United States Department of Energy Order 486.1. You will be asked to disclose any such participation at the time of hire for review by the Research Foundation. The full text of the Order may be found at:

Application Instructions:

Persons interested in the above position should submit a cover letter, CV including full list of publications in peer-reviewed journals, research statement, and employment application. In compliance with the Americans with Disabilities Act (ADA), if you have a disability and require a reasonable accommodation to apply for a position, please email us at [email protected]
Posted 2026-05-30

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