Fully Funded PhD Position in Artificial Intelligence and Robotics
Quick Information Overview
| Host Country | Germany |
|---|---|
| Institution / Host | Technical University of Munich |
| Opportunity Type | PhD Positions |
| Academic Level | PhD |
| Subject Area | Computer Science & AI |
| Funding Status | Fully Funded |
| Application Deadline | 30 April 2027 |
| Eligible Applicants | Open to international candidates holding an accredited Master's degree in CS, Robotics, or Mathematics |
| Official Website | Apply on Official Institution Portal |
Ready to Submit Your Application?
Applications for this opportunity must be submitted directly through the official Technical University of Munich portal. Ensure you have reviewed all eligibility criteria, funding coverage, and deadline dates before beginning your submission.
Overview
The Department of Computer Science at the Technical University of Munich (TUM) invites applications for a 3-year, fully funded doctoral research position in Artificial Intelligence and Autonomous Robotics.
This position is embedded within the TUM Munich Institute of Robotics and Machine Intelligence (MIRMI), offering candidates access to world-class high-performance computing clusters and cutting-edge robotic laboratories.
Research Focus
Selected doctoral researchers will work on foundational and applied questions in:
- Deep Reinforcement Learning for multi-agent robotic manipulation
- Vision-Language-Action (VLA) foundation models for robotic reasoning
- Safe control barriers and formal verification in autonomous physical systems
Funding and Benefits
- Monthly Stipend: TV-L E13 German civil service salary scale (approx. €2,800–€3,200 net per month after taxes).
- Tuition: 100% tuition-free (semester administration fee of €85 covered).
- Travel & Conference Grants: Dedicated annual budget of €3,500 for NeurIPS, ICRA, and CVPR attendance.
- Health & Social Insurance: Comprehensive German health insurance, pension, and unemployment coverage included.
Eligibility Criteria
- Candidates must hold an accredited Master of Science (or equivalent degree) in Computer Science, Artificial Intelligence, Robotics, or Electrical Engineering.
- Strong programming background in Python, C++, and PyTorch / JAX.
- Proven academic writing capability with demonstrated research output (thesis or conference paper).
- English language proficiency (IELTS 7.0 or TOEFL 95+ required for non-native speakers).
Application Procedure
Applicants must compile their curriculum vitae, academic transcripts, master’s thesis summary (maximum 2 pages), and two letters of recommendation into a single PDF document. Applications must be submitted directly through the TUM official career portal using the link above.