Overview
Chalmers University of Technology and the University of Gothenburg are offering a postdoctoral position focused on stochastic traffic networks. This role is significant for advancing research in automated vehicular technology and traffic management, aiming to enhance understanding of efficiency and behavior in complex traffic systems.
Background & Relevance
The field of traffic management is increasingly important as urban areas grow and vehicular automation becomes more prevalent. Understanding how to model and predict traffic behavior under uncertainty is crucial for developing effective solutions. This research will leverage interdisciplinary approaches, combining mathematical sciences with traffic flow theory to address these challenges. The outcomes are expected to contribute to safer and more efficient transportation systems.
Key Details
- Position Type: Postdoctoral
- Duration: 1+1 year (full-time temporary employment)
- Start Date: January 1, 2020, or as soon as possible
- Supervisors: Assoc. Prof. Annika Lang and Prof. Balázs Kulcsár
- Location: Chalmers University of Technology, Gothenburg, Sweden
- Application Deadline: September 22, 2019
- Application Reference: 20190450
- Links: Chalmers Mathematical Sciences, Chalmers Electrical Engineering
Eligibility & Participation
Candidates should possess a Ph.D. in Applied Mathematics, Mathematical Statistics, Control, Computational Science, Transportation, or a related field. The ideal applicant will have a strong background in modeling, traffic theory, and programming, along with knowledge of optimization and learning algorithms. Good communication skills in English are essential, and experience in reinforcement learning or random finite set theory is advantageous.
Submission or Application Guidelines
To apply, candidates must submit the following:
– A CV detailing educational background and a complete list of publications.
– A personal letter introducing themselves, summarizing previous research, and outlining future research goals.
– Two references that can be contacted.
– Attested copies of educational qualifications and grades.
Applications should be marked with the reference number 20190450 and written in English. For detailed application instructions, refer to this link.
Additional Context / Real-World Relevance
The research conducted in this position will have implications for real-world traffic systems, particularly in the context of increasing automation and the need for efficient traffic management solutions. By utilizing advanced computational techniques and data-driven models, this work aims to contribute to the development of smarter transportation systems that can adapt to changing conditions.
Conclusion
This postdoctoral position at Chalmers University presents a unique opportunity for researchers interested in the intersection of applied mathematics and traffic systems. Interested candidates are encouraged to apply and contribute to this vital area of research, fostering advancements that could lead to significant improvements in transportation efficiency and safety.
Category: PhD & Postdoc Positions
Tags: applied mathematics, traffic theory, stochastic models, deep learning, reinforcement learning, numerical analysis, Chalmers University, Gothenburg, transportation, mathematical statistics
