One graduate student (PhD preferred) starting Fall 2022 in the Department of Geography, University of Oregon. The successful applicant will work on the application of methods such as Bayesian analysis, spatiotemporal statistics, hierarchical modeling, and machine learning to epidemiology/public health (e.g., HIV, opioid overdose), active transportation, and mobile geospatial health data analysis.
Relevant background and skills:
- A bachelor or master’s degree in geography, GIScience, data science, statistics, public health, urban planning, or a related field;
- Familiarity with at least one programming language, e.g., R, Python;
- Familiarity with at least one GIS software package, e.g., ArcGIS, QGIS;
- Proficiency in both written and spoken English (for non-native speakers);
- Motivation and passion to complete a PhD in GIScience/Geography;
- Research experience in one of the aforementioned fields is a plus.
The successful applicant will receive support from a combination of a research grant to me and a teaching assistantship in the Department of Geography. The applicant will also have opportunities to receive the following fellowships:
- Raymond Fellowship (graduatestudies.uoregon.edu/
- Promising Scholar Award (graduatestudies.uoregon.edu/
- Lokey Graduate Science Awards (graduatestudies.uoregon.edu/
Interested applicants should send a CV and a brief statement of research interests to Hui Luan at firstname.lastname@example.org.