Research Asst II (Temp) - GIS

Summary

The Principal Investigator is seeking a motivated and detail-oriented graduate student to join a research team focused on analyzing micromobility safety data at the local, state, and national levels. The ideal candidate will have expertise in natural language processing, statistics, modeling, GIS, and advanced clustering analysis. The successful applicant will work on extracting insights from diverse data sources, including crash analysis, public health data, and trauma data, to inform policy and improve safety measures for micromobility users.

Responsibilities*

• Conduct comprehensive analyses of micromobility safety data, including crash analysis, public health data, and trauma data

• Utilize natural language processing to interpret and classify textual data

• Apply statistical methods and modeling techniques to identify trends and patterns

• Perform advanced clustering analysis to segment data and uncover hidden relationships

• Collaborate with multidisciplinary teams to integrate findings into actionable recommendations

Required Qualifications*

• Must be a student currently enrolled in a graduate program

• Must be well-versed in natural language models, machine learning, and quantitative analysis

Desired Qualifications*

• Strong work ethic

• Able to meet deadlines

• Capacity to devote at least 6-8 hours per week on the project

• Strong writing skills

• Knowledge of research methods and grant writing.

Work Schedule

This position begins immediately and continues through the Fall 2024 semester.

Additional Information

University of Michigan-Flint - Plan for Diversity, Equity and Inclusion

The University of Michigan-Flint's DEI plan can be found at: https://www.umflint.edu/dei/?