Join Me!

Description:

I'm always on the lookout for enthusiastic students. If you're passionate about cutting-edge research and innovation at the intersection of transportation engineering, behavioral sciences, computer simulations, artificial intelligence, and urban planning and policy, this could be a perfect opportunity. The selected candidates will have the chance to contribute to groundbreaking research that drives real-world impacts on creating better, brighter future cities in one or more of the following areas:

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1. Full-scale Agent- and Activity-based Simulation: Contribute to developing a uniquely realistic simulation platform that models complex interactions between various elements of an Urban Ecosystem (humans, man-made, and natural) and their state dynamics in different time scales, ranging from pre-day planning to within-day actions.

2. AI-based Innovative Smart Mobility Solutions: Be at the forefront of design and simulation-based evaluation of novel AI-driven solutions that revolutionize Urban Ecosystems, making them more efficient and sustainable.

3. Behavioral Analysis and Modeling: Explore diverse behavioral data sources to generate insights into people's behavior in various contexts and its sensitivity to different policies.

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The selected candidates will be able to thrive in a dynamic network of researchers from various disciplines in esteemed academic institutions and gain valuable skills and knowledge that will set them on a path to becoming leaders in the field.

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Both selected candidates will receive a full-time research assistantship support package, which includes a tuition waiver and the University of Arizona's Graduate Assistant benefits listed here.

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Qualifications:

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I seek critical thinkers passionate about pushing boundaries and contributing to cross-disciplinary research. The ability to work efficiently individually and in collaborative settings is strongly preferred.

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In addition,

• A solid academic background in one or more of the following disciplines, or any other related disciplines, is required: Transportation Engineering, Urban planning, Econometrics, Computer Science, and Social Science.

• A master's degree (or equivalent) in one of the above disciplines is preferred but not required.

• Proficiency in Object-oriented programming in C++ and Python is preferred but not required.

• Back-end software development experience is preferred but not required.

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Minimum application requirements set forth by the University of Arizona's Graduate College and the Department of Civil & Architectural Engineering & Mechanics can be found here and here.

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How to Apply:

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If you are excited about joining my research team, please start your application by sending me your CV, unofficial transcripts, a brief statement on your research interests and their alignment with mine (no more than a single page), and names of two references to shamshiripour@arizona.edu. Please use the subject line "[Your Full Name] - Ph.D. Research Assistant Application."

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Feel free to share this opportunity with anyone interested,

or contact me directly if you have any questions.