PhD and MS Positions in The GeoSocial Lab
We are always looking for MS/PhD or PhD students with the following desirable research interests:
- 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)
- 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)
- High performance computing, Hadoop and big data storage systems (MongoDB)
- 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:
- One of the programming languages such as Java, C++, or Python;
- Statistical computing such as R or Matlab
- GIS Software such as ArcGIS or QGIS.
- Database management systems such as Postgresql, PostGIS and MongoDB
- English Proficiency (TOEFL)
The application deadline is Jan 1. Candidates should contact Dr. Koylu indicating their interest in one of the programs along with their research interests and CV. Competitive students will be invited for a Skype interview.
Upon admittance you will be a member of the Geo-Social Lab, which is home to research projects aimed at developing innovative computational and visualization tools to better understand and analyze massive and complex geo-social networks. The Geo-Social Lab is located within the brand new research facility at the Informatics Initiative which is equipped with cutting edge research infrastructure such as the Visualization Wall, lab computers and meeting rooms, and prioritized access to High Performance Computing (HPC) and Hadoop clusters.
For all inquiries, please contact Dr. Koylu