Ihre Aufgaben

• Resilient Communication and Learning-based Control for Embodied Networked Intelligence (6G-life) (ID: TUEILSY-PHD15)
• Safe and capable humanoids in interaction-rich scenarios (ID: TUEILSY-PHD12)
• Act Based on What You See: Semantically Safe Robot Interaction (ID: TUEILSY-PHD20240930-SSR)
• Distributed Multiagent Planning and Control for Large Aerial Swarms in Changing Environments (ID: TUEILSY-PHD20240930-SAS)
• Safe Collaborative Manipulation in Cluttered and Dynamic Environments (ID: TUEILSY-PHD20240930-SCMM)

Ihre Qualifikationen

• Top-ranked Master's degree in robotics, computer vision, system control, machine learning, mathematics, or a related field
• Excited to make a real impact with thesis work in the field of robotics
• Strong programming skills in C++ and/or Python, with experience in implementing robot learning algorithms
• Strong background in control theory, machine learning, and/or computer vision
• Proven track record demonstrating strong problem-solving skills and the ability to conduct independent research
• Excellent communication skills in English and ability to work in a dynamic team environment
• Previous experience working with real robots is a plus

Ihre Vorteile

• Full-time PhD positions (100%, TV-L E13)
• Commitment to fostering a diverse and inclusive research environment
• Opportunity to make a significant impact in robotics research
• Rolling review process for applications
• Encouragement for candidates from underrepresented groups to apply