Create and release your Profile on Zintellect – Postdoctoral applicants must create an account and complete a profile in the on-line application system. Please note: your resume/CV may not exceed 3 pages.
Complete your application – Enter the rest of the information required for the IC Postdoc Program Research Opportunity. The application itself contains detailed instructions for each one of these components: availability, citizenship, transcripts, dissertation abstract, publication and presentation plan, and information about your Research Advisor co-applicant.
Additional information about the IC Postdoctoral Research Fellowship Program is available on the program website located at: https://orise.orau.gov/icpostdoc/index.html.
If you have questions, send an email to ICPostdoc@orau.org. Please include the reference code for this opportunity in your email.
Research Topic Description, including Problem Statement:
An extensive body of work has sought to model the navigational modalities of human beings in urbanized environments by leveraging agent-based computational modeling (ABM) techniques. However, this literature has assumed simple travel distance cost-optimization strategies, encoded in the decision-rules followed by individual model agents (cf. the canonical Dijkstra algorithm). Recent, groundbreaking research leveraging anonymized en masse data collection has revealed that human beings rather employ more complex decision-rules in their navigational choices.
This project seeks to address the problem: how can we more accurately model human navigation to better inform large-scale models of human mobility in urbanized environments? The project will support development of novel computational approaches that more accurately reproduce real-world navigational choices now revealed in empirical data. Candidates for consideration will demonstrate deep competence in large-scale modeling of human mobility in urbanized environments, leveraging advanced computational techniques.
Empirically-informed large-scale agent-based computational modeling of human mobility in urbanized environments, leveraging research-grade high-performance computing resources for model development, testing and evaluation.
Relevance to the Intelligence Community:
DNI Priority 4: Promoting expertise, data, science, and innovation. Drawing on external and internal expertise, developing new expertise, consistently promoting knowledge as a resource and underlying on evidence-driven insights to innovate.
IC STG Goal 4: Create the Future Operational Landscape. Find, create, and deploy scientific discoveries and new technologies, nurturing innovative thought, advancing tradecraft, and improving mission and business processes.
Identified IC S&T Needs addressed by the proposed work are:
Key Words: human mobility, human navigation, human trajectory analysis, agent-based modeling.