Doctoral Student in Data/AI: KTH Royal Institute of Technology invites applications for a doctoral student position focused on Data/AI driven choice modeling in public transport. The research aims to address the challenges posed by the rapid population growth in the Stockholm region, utilizing large datasets to improve public transport policies. This position offers a dynamic and international research environment, with a target degree of Licentiate.
Doctoral Student (Licentiate) in Data/AI Driven Choice Modeling in Public Transport
Summary Table:
| Designation | Doctoral Student (Licentiate) |
|---|---|
| Research Area | Data/AI Driven Choice Modeling in Public Transport |
| Location | Stockholm, Sweden |
| Eligibility/Qualification | Master’s degree in transportation, data science, computer science, operation research, or related disciplines; experience with data analytics, machine-learning, AI, transport modeling; programming skills in Python or other languages. |
| Job Description | Conduct research on synthesizing public transport data, developing choice models, and contributing to policy decision tools. Collaborate with KTH, VTI, and Region Stockholm. |
| How to Apply | Apply through KTH’s recruitment system with a CV, application letter, diplomas, grades, and relevant publications. |
| Last Date to Apply | 19 June 2024 |
Designation: Doctoral Student (Licentiate)
Research Area: Data/AI Driven Choice Modeling in Public Transport
Location: Stockholm, Sweden
Eligibility/Qualification:
- Passed a second cycle degree (e.g., master’s degree) in transportation, data science, computer science, operation research, or related disciplines.
- Experience with choice and behavioral modeling, data analytics, machine-learning, artificial intelligence, transport modeling, and simulation.
- Proficiency in data science and programming (Python or other languages).
- Mandatory English proficiency equivalent to English B/6.
Job Description: The doctoral student will work on synthesizing data from public transport ticket validations to reveal representative traveler groups and develop choice models. The project aims to support policy decisions by evaluating potential impacts on public transport demand and performance. Collaboration with KTH, VTI, and Region Stockholm is essential. The position offers a dynamic research environment, employee benefits, and a monthly salary as per KTH’s agreement.
How to Apply: Submit your application through KTH’s recruitment system. Ensure your application includes:
- CV detailing relevant experience and knowledge.
- Application letter (max 2 pages) describing your research interests and motivation.
- Certified copies of diplomas, grades, and language proficiency certificates.
- Representative publications or technical reports (with summaries and web links for longer documents).
Last Date to Apply: 19 June 2024
Contact:
- Matej Cebecauer: matej.cebecauer@abe.kth.se
- Zhenliang Ma: zhema@kth.se
- Wilco Burghout: wilco@kth.se
Take this opportunity to contribute to innovative public transport solutions and advance your research career at KTH Royal Institute of Technology.
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