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Urban Human Mobility Professor Jobs (NOW HIRING)

Ciencia Puerto Rico

Tenure-track Assistant Professor - AI for Automotive and Mobility Systems Tenure-track Assistant ... human-centric infrastructure. We are particularly interested in candidates whose research ...

Indiana University

Assistant Professor

Bloomington, IN · On-site

... Human Sciences Location Indianapolis Position Summary Indiana University Indianapolis invites ... Located in the heart of downtown Indianapolis, IU Indianapolis offers a distinctive urban research ...

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As of Sep 11, 2026, the average yearly pay for urban human mobility professor in the United States is $80,057.00, according to ZipRecruiter salary data. Most workers in this role earn between $60,000.00 and $91,500.00 per year, depending on experience, location, and employer.

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Infographic showing various Urban Human Mobility Professor job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 80% Full Time, 16% Part Time, and 3% Contract. Highlights an 92% Physical, 2% Hybrid, and 6% Remote job distribution, with an average salary of $80,057 per year, or $38.5 per hour.

Tenure-track Assistant Professor - AI for Automotive and Mobility Systems

On-site

Ciencia Puerto Rico
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Posted 9 days ago

Job description

Tenure-track Assistant Professor – AI for Automotive and Mobility Systems

Tenure-track Assistant Professor – AI for Automotive and Mobility Systems

The Ohio State University: College of Engineering: Mechanical and Aerospace Engineering

Position Overview

This regular, full-time faculty position will support research and education in the development and application of AI for ground transportation and mobility systems, with particular emphasis on automotive applications. There is a strong university-wide focus at The Ohio State University on AI and machine learning (ML), and this position is intended to advance the integration of AI/ML across existing, emerging and future mobility technologies, including automotive and transportation systems, propulsion, automation, and intelligent, resilient, safe and human-centric infrastructure. We are particularly interested in candidates whose research integrates AI/ML with strong foundations in areas such as control, optimization, dynamical systems, decision-making,designor related methodological fields to address emerging challenges in mobility. Successful candidates shoulddemonstratethe potential to make impactful contributions to one or more areas within this broad theme. AI/ML should constitutea central componentof the candidate’s current and proposed research program, through the development of novel AI methods and/or their innovative application to transportation and mobility systems.

The successful candidate is expected toestablisha strong externally funded research program, contribute to both undergraduate and graduate teaching, and support the continued success of the Mechanical Engineering program. Furthermore, they will strengthen the department'sexpertiseat the intersection of AI and transportation while fostering interdisciplinary collaborations across mechanical engineering, automation, robotics,controls,and intelligent systems.

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