Start Date: Sunday, 1/26/25
End Date: Saturday, 5/10/25
Paid: $36.67 per hour at 9 hours per week
For Credit (DACSS 698): no
Skills Required: Strong communication and collaboration skills are essential to facilitate a productive learning environment and achieve high-quality deliverables that enhance strategic planning and food assistance outcomes.
Research Position Description: We seek a doctoral or advanced master’s student with expertise in statistical analysis and Geographic Information Systems (GIS) to support a team of up to six master’s students collaborating with the Food Bank of Western Massachusetts for the School of Public Policy Workshop. This project involves conducting a service area assessment to analyze food assistance and equity data by census tract, municipality, and county to provide actionable recommendations for the Food Bank’s service improvement and food equity efforts. The assistant will guide the team in applying statistical models, conducting overlay data mapping, and developing both qualitative and quantitative insights based on survey data of volunteers, staff, and community members.
Contact Info: Please send a brief cover letter and a resume to Professor Thad Miller at @email. The review of applicants will begin December 2, 2024.
Start Date: First week of spring 2025 semester
End Date: End of spring 2025 semester
Paid: No
For Credit (DACSS 698): yes (2 credits)
Open to Online students? No
Skills Required: No required skills. Experience with statistical analysis, automated text analysis, and environmental policy a plus.
Research Position Description: Target hours are 6 hours (2 credits) per week, but there is flexibility for fewer or more hours. Deliverables include contributing to the creation of the first national database of permitting process and timelines for large-scale wind and solar energy. Other deliverables may include completing literature reviews for academic papers, producing quantitative analyses using data collected in the lab.
Contact Info: Interested students should send a cover letter (two pages or fewer), along with their resume, to Professor Juniper Katz juniperkatz@umass.edu.
Start Date: 1/30/25
End Date: 5/22/25
Paid: No
For Credit (DACSS 698): yes (1 or 2 credits)
Skills Required: text data analysis tools
Open to Online students? Yes
Research Position Description: 5-8 hours/week, data analysis (text analysis, data visualization, etc.)
Contact Info: Email sooyoungbae@umass.edu with resume, transcript and cover letter indicating interests and experience
Start Date: 1/30/25
End Date: 5/22/25
Hours per week: 8
Paid: No
For Credit (DACSS 698): no
Skills Required: Statistics, programming, AI tools
Open to Online students? Yes
Research Position Description: Seeking a motivated Research Assistant to support a study on LinkedIn and social inequalities. The ideal candidate will have experience in data analysis, visualization, and literature review, with a strong interest in social media analysis and inequality studies. Responsibilities include conducting statistical analyses on large LinkedIn datasets, creating compelling visualizations to highlight key findings, and synthesizing relevant academic literature to contextualize the research. Proficiency in tools such as Python, R, or Julia and familiarity with sociological concepts are preferred.
Contact Info: Email tjhoran@umass.edu with resume, transcript and cover letter indicating interests and experience.
Students can submit their resume here to try to be matched with a faculty member looking for research assistance.