Postdoctoral Associate – Center for Applied Research on Work

Zymtronix Catalytic Systems Inc

Town of Ithaca (NY)

On-site

USD 62,232 - 88,745

Full time

14 days+
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Benefits offered by this job

Research budget
Regular mentorship

Job summary

A renowned research institution is seeking a Postdoctoral Associate to support ongoing research projects focusing on Artificial Intelligence. This full-time position offers a salary of $70,000 annually plus a research budget of $2,000. Key responsibilities include data analysis, report writing, and the design of qualitative research. Applicants should hold a PhD in relevant fields and possess skills in statistical software. The location is Ithaca, NY, where no visa sponsorship is available.

Qualifications

  • PhD must be completed within five years of position start.
  • Demonstrated interest in AI or related topics.
  • Experience handling large data sets.
  • Familiarity with panel or longitudinal data analysis.
  • Preferred experience with mixed methods research.

Responsibilities

  • Analyze quantitative and qualitative data for research.
  • Design interviews and focus groups protocols.
  • Write reports and scholarly articles related to AI research.
  • Conduct surveys, collect and analyze data.

Skills

Artificial Intelligence
Statistical software (STATA, R, SAS, SPSS)
Data analysis
Mixed methods research

Education

PhD in labor relations, sociology, management, economics, applied statistics

Tools

STATA
R
SAS
SPSS

Job description

Postdoctoral Associate – Center for Applied Research on Work

Our Team:

The Center for Applied Research on Work (CAROW) is a hub for collaborative applied research efforts across the ILR School and the university. CAROW connects research on work with the practice of putting it to use. CAROW provides a platform for new interdisciplinary approaches, innovative methods, and nimble resourcing with the goal of bringing high quality research to bear on the challenges facing today’s labor markets and connecting that research to external stakeholders and policy makers. Utilizing trainings, convenings, and new tool development CAROW advances the work of faculty and institutes conducting translational labor research and brings them together to drive new insights.

Responsibilities:

This position will contribute to ongoing research projects with Artificial Intelligence (AI) focus related to CAROW. Responsibilities include: the utilization of direct data and secondary data sources for research; use and analysis of quantitative data in concert with extensive in-depth literature reviews and related written summaries targeting AI topics; completion of human subjects review requests to the Cornell IRB; design of interview and focus groups protocols; analysis of qualitative data results from interviews and focus groups; survey design, data collection, and analysis; analysis of relevant secondary data; writing of reports, scholarly articles, grant applications, as well as research-to-practice briefs, and practitioner journal articles.

Appointment Details:

  • This is a full-time, academic, non-tenure track, term position with an initial one-year appointment from September 1, 2026 to August 31, 2027.
  • No teaching responsibilities are required for this position.
  • The Postdoctoral Associate will receive regular supervision and mentorship from Professor Ariel Avgar.
  • The Postdoctoral Associate will receive $70,000.00 in salary as well as a research budget of $2,000.00.

Requirements:

  • Applicant must have a PhD in labor relations, sociology, management, economics, applied statistics or related fields completed within five years of starting the position.
  • Applicant must have demonstrated interest and scholarly efforts in AI or other related topics.
  • Applicants must have experience in the handling and organization of large data sets.
  • Familiarity with analysis of panel or longitudinal data and working with multilevel models is valued.
  • Additional skills with mixed methods research on related topics, including surveys, interviews, focus groups is preferred, but not required.
  • Must have expertise in using statistical software such as STATA, R, SAS or SPSS.

Visa sponsorship and relocation assistance is not available for this position.

This is an academic, full-time, non-tenure track benefits eligible term opportunity located in Ithaca, NY on the campus of Cornell University.

Pay Range:

$62,232.00 - $88,745.00

Pay Ranges:

  • Prior relevant work or industry experience.
  • Education level to the extent education is relevant to the position.
  • Academic Discipline
  • Unique applicable skills.

To Apply:

Application materials should be submitted through Academic Jobs Online: https://academicjobsonline.org/ajo/jobs/31810

Employment Assistance:

For general questions about the position or the application process, please contact the Recruiter listed in the job posting or email mycareer@cornell.edu.

If you require an accommodation for a disability in order to complete an employment application or to participate in the recruiting process, you are encouraged to contact Cornell Office of Civil Rights at voice (607) 255-2242, or email at accommodations@cornell.edu.

Applicants that do not have internet access are encouraged to visit your local library, or local Department of Labor. You may also request an appointment to use a dedicated workstation in the Office of Talent Attraction and Recruitment, at the Ithaca campus, by emailing mycareer@cornell.edu.

Notice to Applicants:

Please read the required Notice to Applicants statement by clicking here. This notice contains important information about applying for a position at Cornell as well as some of your rights and responsibilities as an applicant.

EEO Statement:

Cornellwelcomes students, faculty, and staff with diverse backgrounds from across the globe to pursue world-class education and career opportunities, to further the founding principle of “... any person ... any study.” No person shall be denied employment on the basis of any legally protected status or subjected to prohibited discrimination involving, but not limited to, such factors as race, ethnic or national origin, citizenship and immigration status, color, sex, pregnancy or pregnancy-related conditions, age, creed, religion, actual or perceived disability (including persons associated with such a person), arrest and/or conviction record, military or veteran status, sexual orientation, gender expression and/or identity, an individual’s genetic information, domestic violence victim status, familial status, marital status, or any other characteristic protected by applicable federal, state, or local law.

Cornell University embraces diversity in its workforce and seeksjob candidates who will contribute to a climate that supports students, faculty, and staff of all identities and backgrounds. Wehire based on merit, andencourage people from historically underrepresented and/or marginalized identities to apply.Consistent with federal law, Cornell engages in affirmative action in employment for qualified protected veterans as defined in the Vietnam Era Veterans’ Readjustment Assistance Act (VEVRAA) and qualified individuals with disabilities under Section 503 of the Rehabilitation Act. We also recognize a lawful preference in employment practices for Native Americans living on or near Indian reservations in accordance with applicable law.

About Us

Cornell University is an innovative Ivy League university and a great place to work. Our inclusive community of scholars, students and staff impart an uncommon sense of larger purpose and contribute creative ideas to further the university's mission of teaching, discovery and engagement. With our main campus located in Ithaca, NY, Cornell's far-flung global presence includes the medical college's campuses on the Upper East Side of Manhattan and Doha, Qatar, as well as the Cornell Tech campus located on Roosevelt Island in the heart of New York City.

We offer a rich array of services, programs and benefits to help employees advance in their career and enhance the quality of personal life, including: employee wellness, workshops, childcare and adoption assistance, parental leave, flexible work options.

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