Postdoctoral Research Associate in AI and Human Resource Management

The Sloane Lab at the University of Virginia School of Data Science is seeking a postdoctoral researcher to conduct impactful and cutting-edge qualitative research on AI and human resource management. The ideal candidate will have expertise in conducting qualitative data collection and analysis and will examine research questions related to how AI technologies are integrated into and impact human resources management practices, specifically recruiting. This includes examining the implications for fairness, efficiency, transformation of work practices, responsible AI design and policy. The candidate will collaborate closely with the PIs Mona Sloane (UVA School of Data Science), Sarah Lebovitz (UVA McIntire School of Commerce), and Roshni Raveendhran (UVA Darden School of Business), contributing to the development of new interdisciplinary insights and the dissemination of research findings through high-impact publications, presentations, and practitioner engagement. The candidate will be hired through the School of Data Science but will be eligible to hold an additional affiliation with the Darden School of Business.

Responsibilities:

• Delve deep into literature related to human resource management and technology, including but not limited to fair, accountable, and transparent AI, critical technology studies, and management scholarship.

• Design and conduct qualitative data collection, including but not limited to interviews, ethnographic observation, and/or discourse analysis.

• Analyze and interpret data using qualitative techniques and generate findings that contribute to existing work and practice.

• Collaborate with team members from diverse disciplinary backgrounds.

• Manage highly motivated research assistants and graduate students.

• Disseminate research findings through peer-reviewed publications, conference presentations, and practitioner and public engagement activities.

• Contribute to the development of research proposals and funding applications.

• Participate in the activities and culture of our vibrant lab.

Qualifications:

• A Ph.D. in Sociology, Anthropology, Business Administration, Information Science, Communication, or a closely related field, with a strong focus on qualitative research methods by the start date of the appointment.

• Demonstrated proficiency and experience in conducting qualitative research, including data collection, and analysis.

• Strong interest in AI and technology's role in organizational and professional practices, particularly in the context of human resources and recruiting.

• Excellent writing skills and publication record in-lieu with career stage.

• Excellent communication and interpersonal skills, with the ability to work collaboratively in an interdisciplinary team.

Applications will be reviewed on a rolling basis until the position is filled.

To Apply: Please visit https://jobs.virginia.edu and search for R0057645

Complete an application online and attach:

• A cover letter (one page maximum) explaining your interest in the position and your research experience related to AI and HRM practices (specifically recruiting).

• A curriculum vitae including a list of publications and work in progress.

• A sample of your written work (e.g., a published article, dissertation chapter).

• Contact details for three references (letters will only be solicited at the last stage).

Internal Applicants: Please apply through your Workday Home Page, search "Find Jobs", and search for R0057645

*** Please note that you MUST upload ALL documents into the CV/Resume box. Applications that do not contain all of the required documents will not receive full consideration ***

For questions about the application process, please contact Rhiannon O'Coin, Senior Academic Recruiter, [email protected] .

The selected applicant will be required to complete a background check prior to their first day of employment per University policy.

Interested candidates are encouraged to contact Dr. Mona Sloane ([email protected] ) for more information.

The Sloane Lab is committed to equal employment opportunity regardless of race, ethnicity, color, national origin, religion, sex, gender identity, age, marital status, disability, or other factors that are irrelevant to the advertised position. If you have a special need for the interview, please do not hesitate to indicate required accommodations.

The University of Virginia, i ncluding the UVA Health System which represents the UVA Medical Center, Schools of Medicine and Nursing, UVA Physician’s Group and the Claude Moore Health Sciences Library, are fundamentally committed to the diversity of our faculty and staff.  We believe diversity is excellence expressing itself through every person's perspectives and lived experiences.  We are equal opportunity and affirmative action employers. All qualified applicants will receive consideration for employment without regard to age, color, disability, gender identity or expression, marital status, national or ethnic origin, political affiliation, race, religion, sex (including pregnancy), sexual orientation, veteran status, and family medical or genetic information.