PhD Scholarship at Robotics Lab: The Learning Systems and Robotics Lab, led by Prof. Angela Schoellig at the Technical University of Munich (TUM), invites applications for three exceptional PhD candidates. This scholarship opportunity is designed for individuals passionate about advancing research in robotics and related learning systems.
PhD Scholarship Opportunity at Learning Systems and Robotics Lab
Designation
PhD Candidate (Full-time, TV-L E13)
Research Area
- Safe and capable humanoids in interaction-rich scenarios
- Semantically safe robot interaction
- Distributed multi-agent planning and control for large aerial swarms
- Safe collaborative manipulation in cluttered and dynamic environments
Location
Technical University of Munich (TUM), Germany
Eligibility/Qualification
- A relevant master’s degree or equivalent qualification in a related field
- Strong background in robotics, machine learning, or related disciplines
- Proven ability to conduct innovative research
- Good communication skills in English
- Experience in interdisciplinary teamwork is advantageous
Job Description
Successful candidates will engage in innovative research and contribute to ongoing projects in the lab. Responsibilities include:
- Conducting independent research aligned with the lab’s focus areas
- Collaborating with team members on various projects
- Publishing research findings in high-impact journals
- Participating in conferences and workshops
How to Apply
Applicants must complete the application form and submit a single PDF file containing:
- A personal statement (max 500 words) highlighting research interests and relevant experience.
- An academic CV, including a full list of publications.
- Academic transcripts.
- Relevant certificates (e.g., university degrees, additional courses).
- Contact information of three referees.
- Any additional supporting documents that may strengthen the application.
For further information, visit the lab’s website or Angela Schoellig’s Google Scholar.
Application Link: Open PhD Positions
Last Date to Apply
Full consideration will be given to applications received by December 06, 2024. Applications are open from September 30, 2024.
