Morgan State University
Postdoctoral Associate
Skills
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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