Postdoctoral Researcher in Urban Analytics with Focus on Big Mobility Data
4 weeks ago
This postdoctoral position is an excellent opportunity for an independent and motivated researcher interested in urban analytics of big movement data, applied to transport and mobility questions. You will develop a national open data set of traffic and pedestrian flows based on mobile phone GPS location data. In addition to research, you will contribute to GIS education at both the undergraduate and master level.
Project Description
The project 'FlowSense: High-Resolution Empirical Traffic Flow Data for Research and Decision Making' aims to produce empirical data of vehicle and pedestrian flows with high spatial and temporal resolution and extensive coverage, using reproducible methods, based on mobile phone GPS location data. Empirical data on traffic flows are instrumental for research and to support decision-making in diverse domains, including transport planning, urban logistics, urban mobility, urban design and planning. However, these data are simply non-existent or do not provide the necessary spatial-temporal coverage or resolution.
The result of the project will report the intensity of traffic flows at the road link level, at different times, covering entire metropolitan areas in Sweden and abroad. The application of the data will be demonstrated in relevant transport and urban planning use cases, e.g. congestion, traffic safety, pedestrian exposure to noise, usage of public space. The database and the applications will support data-driven decision-making in planning practice, overcoming existing limitations of traffic flow data.
Major Responsibilities
As postdoctoral researcher, you will be the main researcher on the project: 'FlowSense: High-Resolution Empirical Traffic Flow Data for Research and Decision Making'. You will be responsible for data processing, model calibration, replication of the method in different locations, and demonstration of the database. Your findings are expected to be published in high-impact journals, and the methods and data will be made available to researchers and stakeholders through open access.
Qualifications
To qualify for the position, you must hold a doctoral degree in Urbanism, Urban Analytics, Transport planning, Geomatics, Data Science, or a related field, awarded no more than three years prior to the application deadline. Exceptions from the 3-year limit can be made for longer periods resulting from parental leave, sick leave or military service.
The position requires experience of geodata processing, spatial analysis, statistical analysis, and visualization of urban environments, knowledge of programming in one (or more) of R, Python, SQL, and the use of Github or equivalent. You must also have experience with open-source geodatabases (e.g. PostGIS) and with open-source GIS software (e.g. QGIS).
You are a person who can work independently and lead the writing of scientific articles and reports. Sound oral and written skills in English are a requirement.
Additional Merits
Additional merits taken into account are: experience of GPS movement data analysis, publication and maintenance of open data and open-source repositories, knowledge of big data technologies, e.g. Spark, Geomesa, teaching GIS at bachelor and/or master level, and experience preparing research funding applications.
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