Two postdoctoral research fellow positions at the University of California Santa Barbara
The MOVE Laboratory (http://move.geog.ucsb.edu) at the Geography Department at UC Santa Barbara is hiring two postdoctoral research fellows.
Position 1 – Cartography of Movement:
We seek a postdoctoral fellow with a background in geographic visualization and spatial cognition. The postdoc will be engaged in an NSF funded project entitled: “Visualizing Motion: A Framework for the Cartography of Movement”. The project aims to develop and evaluate cartographic theories and tools to understand how humans perceive movement patterns using different visualization forms. The postdoctoral fellow will work with Dr. Somayeh Dodge and her team to develop visualization methods and evaluate the usability of cartographic techniques for mapping movement patterns and the interaction between individuals in space and time.
- PhD in Geography, GIScience, Computer Science, Cartography, Psychology, Human-Computer Interaction, or other related disciplines
- Background in Cartography or Data Visualization
- Knowledge of experimental design for applied spatial cognition research
- Knowledge of theories in Visual Perception and Spatial Cognition
- Previous experience in the design and conduct of eye-tracking experiments
- Previous experience in cartographic mapping and analysis of movement data
- Familiarity with web and/or software development
Position 2 – Movement Data Science:
We are seeking a postdoctoral fellow with a background in data science and movement data analytics. The postdoc will be engaged in multiple projects on analysis, modeling, and simulation of movement. The aim is to develop data science approaches to study movement in different contexts including human mobility, migration, health geography, and movement ecology. The postdoctoral fellow will work with Dr. Somayeh Dodge and her team to incorporate the latest machine learning methods and simulation techniques into data fusion, analysis, and modeling of movement using geo-enriched trajectory data sets obtained from GPS or other location-aware sensors.
- Ph.D. in Geography, GIScience, Computer Science, Data Science, or related disciplines
- Previous experience in developing quantitative methods, data analytics, machine learning, geocomputation, or geosimulation tools
- Advanced knowledge of programming (Python, R, or Java)
- Previous experience in movement data analytics or big data analytics
- Background in computational research, familiarity with algorithmic optimization
MOVE@UCSB engages in conducting cutting-edge basic and applied research to study movement and spatiotemporal processes such as human mobility, animal movement, migration, disease diffusion, natural hazards (e.g. wildfires, hurricanes). Using large arrays of geo-enriched tracking data sets, MOVE@UCSB advances Spatial Data Science methodologies for movement data analytics, knowledge discovery, modeling, agent-based simulation, and visualization. For more information about MOVE@UCSB please see http://move.geog.ucsb.edu.
The duration for both positions is one year with a flexible start date as of January 2020 or after. To apply, please send a cover letter describing your education background, your research interests, and your qualifications with respect to the selected position. In your cover letter please make sure to specify which position you wish to apply to and how your background fits the scope of the research. Please send your cover letter together with a copy of your curriculum vitae including contact information of three references, as a single PDF to Dr. Somayeh Dodge (firstname.lastname@example.org). Review of applications will begin on 15 December 2019 and continue until the positions are filled. For any questions regarding these positions, please feel free to contact Dr. Dodge (email@example.com).
The University of California is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability status, protected veteran status, or any other characteristic protected by law.