Postdoctoral Fellowship Opportunity in Gender Studies in the Arts
- SMU DataArts
- Location: - Remote
- Job Number: 7305966
- Posting Date: Newly posted
- Salary / Pay Rate: 70,000-75,000
- Application Deadline: May 5, 2025
Job Description
SMU DataArts, the National Center for Arts Research at Southern Methodist University, invites applications for a post-doctoral fellowship, to begin August 2025 for a 1-year term. This fellowship opportunity is for a researcher interested in leveraging data and research tools towards advancing gender studies in the field of arts and culture. The fellow should have a stated interest in the arts and culture sector; however, candidates with a wide range of degrees would be considered for this position, including economics, statistics, data science, public policy, museum studies, gender studies, etc. The fellow will contribute to a wide range of DataArts research projects with opportunities to grow their qualitative and/or quantitative analysis expertise, work directly with DataArts clients in a consultative capacity, and build skills managing complex research initiatives. The research team will provide thought partnership and support to the fellow in developing research questions focused on gender studies using data available through DataArts.
This fellow would collaborate closely with the SMU DataArts research team with mentorship and a direct reporting line to the Research Director of DataArts. The research team would help connect the fellow with research colleagues as appropriate, including national funders, arts service organizations, academic researchers, and practitioners. The fellow would be encouraged to publish the results of their investigations on multiple platforms – including peer-reviewed publications, through the SMU DataArts website, and through webinars or conferences.
As a national nexus of data on the arts and culture sector, SMU DataArts is uniquely positioned to offer a springboard for a fellow to explore these types of inquiries. SMU DataArts employs a range of research techniques and high-powered computing to test hypotheses, build theory, and increase understanding of the arts and culture sector. Our research efforts range from academic papers published in leading journals, applied research undertaken with community partners, and actionable insights shared directly with arts practitioners.
The benefits to participants of this program include practical experience through every phase of the research process, an expansion of available networks and connections, and publication opportunities to strengthen job applications.
Qualifications
Minimum qualifications: completed PhD in arts & culture management, economics, statistics, data science, public policy, museum studies, gender studies, or related field by August 1, 2025.
Preferred qualifications: experience in a consulting environment, experience researching in the arts & culture field (systems, organizations, or policies) and/or experience researching workforce conditions in organizations or systems regardless of the field context; interest in making significant contributions to research and/or creative scholarship which leads to publication, exhibition or dissemination in refereed journals, and/or national venues.
To apply, upload a letter of interest, an updated CV, and the names and contact information of three references.
Review of applications will begin April 8, 2025. To ensure full consideration for the position, the application must be received by May 5, 2025, but the committee will continue to accept applications until the position is filled. The committee will notify applicants of its employment decisions after the position is filled. Hiring is contingent upon the satisfactory completion of a background check.
This fellow would collaborate closely with the SMU DataArts research team with mentorship and a direct reporting line to the Research Director of DataArts. The research team would help connect the fellow with research colleagues as appropriate, including national funders, arts service organizations, academic researchers, and practitioners. The fellow would be encouraged to publish the results of their investigations on multiple platforms – including peer-reviewed publications, through the SMU DataArts website, and through webinars or conferences.
As a national nexus of data on the arts and culture sector, SMU DataArts is uniquely positioned to offer a springboard for a fellow to explore these types of inquiries. SMU DataArts employs a range of research techniques and high-powered computing to test hypotheses, build theory, and increase understanding of the arts and culture sector. Our research efforts range from academic papers published in leading journals, applied research undertaken with community partners, and actionable insights shared directly with arts practitioners.
The benefits to participants of this program include practical experience through every phase of the research process, an expansion of available networks and connections, and publication opportunities to strengthen job applications.
Qualifications
Minimum qualifications: completed PhD in arts & culture management, economics, statistics, data science, public policy, museum studies, gender studies, or related field by August 1, 2025.
Preferred qualifications: experience in a consulting environment, experience researching in the arts & culture field (systems, organizations, or policies) and/or experience researching workforce conditions in organizations or systems regardless of the field context; interest in making significant contributions to research and/or creative scholarship which leads to publication, exhibition or dissemination in refereed journals, and/or national venues.
To apply, upload a letter of interest, an updated CV, and the names and contact information of three references.
Review of applications will begin April 8, 2025. To ensure full consideration for the position, the application must be received by May 5, 2025, but the committee will continue to accept applications until the position is filled. The committee will notify applicants of its employment decisions after the position is filled. Hiring is contingent upon the satisfactory completion of a background check.
