Job Description
We are seeking Research Fellows to join our research team to work with PI and co-PIs in the Department of Civil and Environmental Engineering. The primary focus of this position is on developing destination choice models for future land use and transport systems using data-driven approaches.
Key responsibilities include:
- Collecting and analyzing relevant data.
- Designing tour-based destination choice models.
- Facilitating developed models into existing tour-based transport framework.
- Leading funded research projects, supervising research students, and preparing research proposals and reports.
Qualifications
- Possess a PhD in a related discipline (transportation engineering, operations research, computer engineering/science, or related disciplines) by December 2024.
- Strong knowledge and expertise in discrete choice modelling, statistical modeling, traffic simulation, machine learning, and optimization techniques.
- Strong expertise in discrete choice modelling, statistical modelling, and machine learning methods
- Proficiency in transport planning software such as EMME or PTV Visum.
- Programming expertise in at least one language, e.g., Python, Java, or C++.
- Strong written and oral communication skills.
- Open to fixed-term candidate.
Req ID: 34025