Applications and Funding
We offer a diverse set of degrees and research experiences for graduate, undergraduate and high school students through the Department of Geographical and Sustainability Sciences, and
the Interdisciplinary Graduate Program at Informatics (IGPI), and the Secondary Student Training Program (SSTP) at the University of Iowa.
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Geography graduate degrees
are classified as STEM with the CIP code 45.0702 (Cartography and Geographic Information Systems).
- For students from Computer Science and other related disciplinary background,
Interdisciplinary Graduate Program in Informatics (IGPI)is a great fit.
- For undergraduate students we offer a 5-year
U2G Programwith a B.S. Geography/GIScience and M.S. degree in Informatics.
- For high school students we offera multi-week residential summer research program.
Graduate teaching and research fellowships, and assistantships are available for competitive students.
Before applying, please contact Caglar Koyluwith your brief research interests and CV attached.
Competitive students will be invited for a Skype interview. The interview starts with a 6 minute, 40 second, a Pecha Kucha style presentation.
Your presentation should focus on your current work, future research goals and interests, and how those intersect with the Lab's research agenda.
We are always looking for MS / PhD or PhD students with a variety of research interests such as:
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Spatial interaction analysis and visualization (e.g., network measures, spatial community detection, spatial interaction modeling and diffusion models, flow mapping and clustering)
Spatial data mining (e.g., clustering, association rule mining, machine learning and deep learning)
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Geovisual analytics and human computer interaction (e.g., interactive cartography, flow mapping, coordinated views, and utility and usability evaluation)
- Big data analytics for social media and networking applications (e.g., geospatial semantics, natural language processing, topic modeling and sentiment analysis)
- Application areas such as human migration and mobility, geographically-embedded social networks (e.g., interpersonal communication, family tree), patient mobility,
human communication, transportation, and energy networks; movement and pass networks in sports (e.g., soccer, basketball); analysis of social media data;
social sensing and networks for disaster response, recovery and resilience
In addition to the above research interests, students should have, or be interested in developing, ability in:
- Geospatial programming in Java and/or Python
- Web-based GIS and Geovisualization: JavaScript, D3, React, etc.
- Statistical computing in R
- Interactive computing using Jupyter andObservableNotebooks
- GIS Software such as ArcGIS or QGIS
- Database management systems such as PostgreSQL/PostGIS
- High performance computing, Spark, Hadoop and big data storage and management systems (MongoDB)
