Open Positions

MoCA Lab welcomes motivated students and researchers who are passionate about advancing mobility systems through rigorous computational methods and data-driven insights.

We have full funding available for PhD students, MSc students, and postdoctoral researchers working in our research areas. You can either join one of our open projects or develop your own research direction that aligns with our work.

Open Projects

We currently have open projects actively seeking team members:

Open, PhD/MSc

Privacy-preserving mobility choice modeling

Mobility data is powerful, but it is also sensitive. Cities and platforms increasingly want to learn how people travel while protecting privacy. This project will develop methods that allow us to obtain meaningful behavioral insights via structural spatiotemporal choice models, meanwhile ensuring privacies are protected.

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Open, PhD/MSc

Designing information in mobility systems

When many travelers respond to the same guidance (e.g., route recommendations), the outcome is not simply everyone gets faster routes. Their responses interact through congestion in mobility systems. This project develops system-level models and algorithms for information design: how agencies or platforms should structure guidance so that the whole network performs better, not just individual trips.

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Open, MSc/RA

Privacy-preserving data and experimentation platform

Many important mobility questions cannot be answered without careful data collection and controlled experiments. This project develops a privacy-preserving platform that supports safe mobility data collection and, later, controlled studies of information interventions.

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Positions Available

PhD Students

Work on problems spanning theory, methodology, and real-world application. Develop new models and algorithms, apply them to mobility challenges, and use data to estimate models and evaluate policies.

Requirements:

  • Strong quantitative background (optimization, economics, control, statistics, machine learning)
  • Interest in both theoretical foundations and real-world applicability
  • Good programming skills
  • Strong written and verbal communication skills

MSc Students

Work on focused research problems that connect theory to practice. Help model real-world mobility challenges, analyze data, or evaluate policies and platform designs.

Requirements:

  • Good quantitative background
  • Programming experience
  • Commitment to high-quality research

Postdoctoral Researchers

Work across the full research pipeline—from developing theoretical foundations and methodologies, to modeling real systems, to applying data-driven insights to improve policies and platform designs.

Requirements:

  • PhD in a relevant field (transportation engineering, operations research, computer science, or related)
  • Strong publication record
  • Experience with computational methods and/or large-scale data analysis

Semester Projects & Visiting Students

We welcome undergraduate and graduate students for semester projects, as well as visiting students and researchers from other institutions. Please contact us to discuss opportunities.

Research Areas

We work in five main research directions:

  • Behavioral foundations — Modeling how travelers and platforms make decisions
  • Dynamic decisions and adaptation — Studying sequential decision-making and adaptive behaviors
  • Information and guidance — Understanding how guidance affects network conditions
  • Equilibrium, stability, and system design — Analyzing system-level behaviors and design
  • Human–AI mobility ecosystems — Exploring how digital tools and AI influence mobility

Our work integrates choice modeling, network modeling, optimization, machine learning, and policy analysis.

How to Apply

Please contact us to discuss your research interests and potential fit with the lab.

Include in your email:

  1. Brief introduction and research interests
  2. Your CV
  3. What you want to work on — mention specific open projects if interested, or describe your own research direction

For external PhD applicants: Please also include transcripts (unofficial is fine).

Note: After we confirm mutual interest, students must also complete the official application process through the Technion Graduate School. Both steps are required.