PhD Position in Dynamic Vehicle Routing with Time Synchronization
Develop advanced routing and control algorithms for multi-agent systems in aerospace engineering.
Best for:Best for PhD candidates with expertise in optimization, control systems, and multi-agent coordination, seeking to contribute to aerospace engineering innovations.
Overview
This PhD position at Munich Aerospace focuses on advancing dynamic vehicle routing and predictive control for multi-agent systems under uncertain conditions. The successful candidate will design optimization-based methods for time-synchronized coordination, contributing to cutting-edge aerospace engineering solutions. The role involves both theoretical research and practical implementation, aiming to enhance the efficiency and reliability of multi-agent systems. Applicants should have a strong background in engineering, computer science, or a related field, with an interest in optimization and control systems. The position offers a unique opportunity to work at the intersection of aerospace and computational engineering.
What you'll do
- Develop and implement dynamic vehicle routing methods for coordinating multi-agent systems with time synchronization tasks.
- Design optimization-based predictive path tracking controllers to enhance system performance under uncertainties.
- Conduct theoretical research and practical experimentation to validate and refine routing and control algorithms.
- Collaborate with interdisciplinary teams to integrate solutions into broader aerospace engineering projects.
- Publish research findings in peer-reviewed journals and present results at academic conferences.
- Contribute to the development of innovative methodologies for managing time-sensitive operations in complex systems.
Requirements
Degree required: Master's degree in Aerospace Engineering, Computer Science, Mechanical Engineering, or a related field.
Degree offered: PhD
Language: English; proficiency sufficient for academic research and collaboration
Instruction: English
- Strong background in optimization algorithms and control theory.
- Proficiency in mathematical modeling and computational methods.
- Experience with multi-agent systems or distributed control systems.
- Familiarity with programming languages such as Python, MATLAB, or C++.
- Ability to work in interdisciplinary research environments.
- No specific nationality restrictions, but eligibility may depend on funding or visa requirements.
- Applicants must not have already completed a PhD.
Funding & terms
How to apply
Deadline: 2026-10-31 (Europe/Berlin)
Applicants should submit their application materials directly to the University of the Bundeswehr Munich. The application package typically includes a CV, a letter of motivation, academic transcripts, and contact details for two references. Ensure all documents are in English and clearly demonstrate your qualifications and interest in the position.
- Curriculum Vitae (CV)
- Letter of motivation
- Academic transcripts (Bachelor’s and Master’s degrees)
- Two reference letters
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