University of Colorado Boulder
PostDoctoral Research Associate
University of Colorado Boulder, Boulder, Colorado, United States, 80301
Job Summary
We invite applications for a PostDoctoral Research Associate position in the Department of Geography at the University of Colorado Boulder (CU Boulder). The position is supported by a newly funded project aimed at developing advanced computational methods to extract historical geographic information from digital archived maps, and approaches to implement these spatio-temporal data in novel scientific studies of human-environment interactions. This project will extract spatial road network data from historical USGS data originally published between 1884 and 2006 and integrate the extracted spatio-temporal data in research on the impact of transportation infrastructure on urban and economic development and environmental processes. The postdoctoral researcher is expected to collaborate in developing spatially explicit machine learning approaches and/or applying image processing or computer vision techniques to explore innovative ways to understand geographical data and extract useful information from the data. The postdoctoral researcher is expected to lead efforts in data evaluation and demonstrate how the extracted information in combination with other historical data from historical maps or property-level data can be utilized in scientific studies to advance knowledge of human interactions with their environment over extended time periods.
What We Offer
The position can start as early as June 2025 or as soon as possible. The initial appointment will be for one year with the possibility of renewal for a second-year contingent on satisfactory performance and fund availability.
Benefits
The University of Colorado offers excellent benefits, including medical, dental, retirement, paid time off, tuition benefit and ECO Pass. The University of Colorado Boulder is one of the largest employers in Boulder County and offers an inspiring higher education environment.
Responsibilities
Collaborate on machine learning-based information extraction from geographic data, develop evaluation processes and perform uncertainty analysis to apply the extracted spatio-temporal data in case studies that model changes in human-environment interactions over long time periods. Develop manuscripts for submission to peer-reviewed journals and conference proceedings; Present and communicate the findings to the communities of researchers and stakeholders; Assist and develop new grant proposals on related topics for submission to funding agencies; Mentor graduate and undergraduate students.
Qualifications
What We Require Qualified applicants should have a PhD degree (or ABD) in Geography/GIScience, Statistics, Computer Science, Information Science or related discipline.
What You Will Need Expertise in geographic information science, uncertainty assessment, data integration, spatial data extraction, statistical analysis/machine learning.
What We Would Like You To Have Preferences will be given to applicants with strong quantitative backgrounds and programming experience (e.g., Python, R) in statistics, machine learning and spatiotemporal analysis who have experience in working with large datasets.
Special Instructions
To Apply, Please Submit The Following Materials Resume/CV Cover Letter PDF Sample of Work Please put the required documents into one single PDF file.
During the application process you will need to enter contact information for two references who will be contacted to provide letters of recommendation as the search progresses.
Please apply by
10/3/2025
for consideration.
Note: Application materials will not be accepted via email. For consideration, please apply through CU Boulder Jobs.
In compliance with the Colorado Job Application Fairness Act, in any materials you submit, you may redact or remove age-identifying information such as age, date of birth, or dates of school attendance or graduation. You will not be penalized for redacting or removing this information.
#J-18808-Ljbffr
We invite applications for a PostDoctoral Research Associate position in the Department of Geography at the University of Colorado Boulder (CU Boulder). The position is supported by a newly funded project aimed at developing advanced computational methods to extract historical geographic information from digital archived maps, and approaches to implement these spatio-temporal data in novel scientific studies of human-environment interactions. This project will extract spatial road network data from historical USGS data originally published between 1884 and 2006 and integrate the extracted spatio-temporal data in research on the impact of transportation infrastructure on urban and economic development and environmental processes. The postdoctoral researcher is expected to collaborate in developing spatially explicit machine learning approaches and/or applying image processing or computer vision techniques to explore innovative ways to understand geographical data and extract useful information from the data. The postdoctoral researcher is expected to lead efforts in data evaluation and demonstrate how the extracted information in combination with other historical data from historical maps or property-level data can be utilized in scientific studies to advance knowledge of human interactions with their environment over extended time periods.
What We Offer
The position can start as early as June 2025 or as soon as possible. The initial appointment will be for one year with the possibility of renewal for a second-year contingent on satisfactory performance and fund availability.
Benefits
The University of Colorado offers excellent benefits, including medical, dental, retirement, paid time off, tuition benefit and ECO Pass. The University of Colorado Boulder is one of the largest employers in Boulder County and offers an inspiring higher education environment.
Responsibilities
Collaborate on machine learning-based information extraction from geographic data, develop evaluation processes and perform uncertainty analysis to apply the extracted spatio-temporal data in case studies that model changes in human-environment interactions over long time periods. Develop manuscripts for submission to peer-reviewed journals and conference proceedings; Present and communicate the findings to the communities of researchers and stakeholders; Assist and develop new grant proposals on related topics for submission to funding agencies; Mentor graduate and undergraduate students.
Qualifications
What We Require Qualified applicants should have a PhD degree (or ABD) in Geography/GIScience, Statistics, Computer Science, Information Science or related discipline.
What You Will Need Expertise in geographic information science, uncertainty assessment, data integration, spatial data extraction, statistical analysis/machine learning.
What We Would Like You To Have Preferences will be given to applicants with strong quantitative backgrounds and programming experience (e.g., Python, R) in statistics, machine learning and spatiotemporal analysis who have experience in working with large datasets.
Special Instructions
To Apply, Please Submit The Following Materials Resume/CV Cover Letter PDF Sample of Work Please put the required documents into one single PDF file.
During the application process you will need to enter contact information for two references who will be contacted to provide letters of recommendation as the search progresses.
Please apply by
10/3/2025
for consideration.
Note: Application materials will not be accepted via email. For consideration, please apply through CU Boulder Jobs.
In compliance with the Colorado Job Application Fairness Act, in any materials you submit, you may redact or remove age-identifying information such as age, date of birth, or dates of school attendance or graduation. You will not be penalized for redacting or removing this information.
#J-18808-Ljbffr