The Human Exploitation and Resilience Initiative invites applications for two (2) quantitative research assistantships at the NYU Marron Institute starting in Fall 2021. Graduate students (MS or PhD) from all disciplines and programs across NYU are welcome to apply, and we seek a diversity of disciplinary training, backgrounds, and perspectives. The quantitative research assistant positions are data-focused, so candidates with expertise in data science, statistical modeling, network analysis, and/or web development and interactive data visualization are particularly encouraged to apply.
About the Human Exploitation and Resilience Initiative (HERI):
Led by Dr. Meredith Dank, HERI research primarily focuses on both US-based and international forced labor and human trafficking, in addition to other types of gender based violence. There are currently several projects at HERI that are funded by the Department of State, the National Institute of Justice, National Science Foundation, in addition to private foundations. Research Assistants will have an opportunity to work across several projects and assist the research team in providing new insight, knowledge, and opportunities for action. The positioning of the research assistant positions at the Marron Institute ensures that impact-driven projects are balanced with fundamental research advanced through widely-disseminated research that is transparent and reproducible. RAs can expect to:
- Work on one (or more) research projects as part of the HERI research team, including State Department funded projects focused on measuring the prevalence of forced labor in Costa Rica and Tanzania, and a prevalence study on sex trafficking in Belize.
- Produce R code, data tools, and visualizations, and models using a range of data.
- Contribute, as appropriate, to conference and journal publications.
- Proficient in R
- Completed graduate level research methods coursework, and familiar basic concepts involving survey research designs, and experimental research designs involving RCT
- Prior experience in data management tasks, such as data logical consistency, search and identify outliers, data cleaning, recoding, and merging
- Experienced at producing summary statistics, data displays such as histograms, frequency tables, cross-tabs
- Familiar with multivariate statistical procedures, including logistical regression and time-series analysis
- Ability to effectively communicate in English, both orally and in writing
To apply, please submit the following:
- A cover letter (no more than 1 page) summarizing your relevant experience and training, together with a statement of how the research assistant position would further your career goals.
Application materials should be emailed as a single PDF to email@example.com no later than November 12, 2021. Research assistant positions are for the Fall 2021 and Spring 2022 semester, with a possible extension into the Fall and Spring 2023 semesters.