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Postdoctoral Associate

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Onsite

Postdoctoral Associate

Morgan State University

Postdoctoral Associate

Skills

Big DataPythonPyTorchTensorFlowMATLABRCybersecurityData AnalysisMachine LearningAICompliance

3 months ago

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Important information


Contract type:

Permanent

Location:

Washington, DC, USA

Work mode:

Onsite

Published on:

7 August 2026

What they need


Posting Summary

Job Title Postdoctoral Associate Division Divison of Academic Affairs Department National Transportation Center Job Effective Date 12/01/2025 Job End Date 12/30/2027 Work Status Full Time Position Category Contractual FLSA Exempt Annual Salary $50,000 - $75,000 / year Pays United States Percentage Amount 100 Fund Source Federal/Grant Requisition Reason New Job Duties

  • Conduct Research and Data Analysis
  • Connected and Automated vehicles
  • Cybersecurity
  • Prepare Publications and Reports
  • Mentor Graduate and Undergraduate Students
  • Proposal Development
  • Collaboration and Outreach
  • Administrative and Compliance Activities

Requested Minimum Qualifications

Education

  • Ph.D. degree by the start date of employment, in the following fields from an accredited college or university: transportation engineering, applied mathematics, statistics, economics, computer science, electrical engineering, mechanical engineering, and/or other relevant STEM fields.

Experience

  • Hands-on experience with AI/ML and statistical modeling and programming in Python, Matlab, C/C++, or other object-oriented programming languages, as well as R, Julia, Stan, WinBUGS, and so on.
  • Experience with Connected and Automated Vehicles Technology
  • Experience with mentoring Ph.D. students and managing multiple projects funded by DOTs and the NSF.
  • Strong interest and self-motivation to perform cutting-edge research and overcome challenges in real-world engineering, and to publish high-impact papers.
  • Strong background in transportation engineering, smart cities and mobility, traffic safety, smart sensing, artificial intelligence/machine learning, big data analytics, and/or applied statistics.

Other Preferences for Consideration

  • Strong background in linear algebra, probability theory, and computational mathematics.
  • Experience in developing machine learning models using Pytorch, TensorFlow, and/or other relevant packages/platforms.

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