Two postdoctoral research scholar 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 – Geographic Visualization and Spatial Cognition:
The UCSB Department of Geography seeks a PostDoctoral Scholar 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.
To apply, please visit https://recruit.ap.ucsb.edu/JPF01701.
Applicants must have completed all requirements for a PhD in Geography, GIScience, Computer Science, Cartography, Psychology or other related disciplines, except the dissertation at the time of application, with a background in cartography or data visualization at the time of application.
- Background in visual perception and spatial cognition
- Previous experience in cartographic mapping and analysis of movement data
- Familiarity with web and/or software development
- Knowledge of experimental design for applied spatial cognition research.
Position 2 – Data Science and Movement Data Analytics:
The UCSB Department of Geography seeks a Postdoctoral Scholar 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 scholar will work with Dr. Somayeh Dodge and her team to incorporate 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.
To apply, please visit https://recruit.ap.ucsb.edu/JPF01722
Applicants must have completed all requirements for a PhD in Geography, GIScience, Computer Science, Data Science, or other related
disciplines except the dissertation at the time of application, with a background in developing quantitative methods, data analytics,
geocomputation, or geosimulation tools and knowledge of programming (Python, R, or Java).
- Previous experience in developing quantitative methods , data analytics, 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 and 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, deep learning, modeling, agent-based simulation, and visualization. For more information about MOVE@UCSB please see http://move.geog.ucsb.edu.
Please be prepared to include a Cover Letter, your most recent Curriculum Vitae and three references. Primary consideration given to applications received by January 15th, 2020.
Earliest start date of February 3rd but no later than April 6th, 2020.
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.