Postdoctoral Position: Machine Learning for robotics
Research of machine learning approaches for sensor data processing, sensor fusion and robotics algorithms.
Multi-Robot Systems Group (MRS), Czech Technical University in Prague
We are seeking a postdoctoral researcher for machine learning aimed at mobile robotics. Machine learning is nowadays part of many parts of a mobile robot autonomy stack: sensor preprocessing, sensor fusion, mapping, localization and many others. We are strongly focused on developing systems that run onboard a mobile robot in real time.
Job Description
- Fundamental research in machine learning related to mobile robotics applications.
- Involvement in application-oriented projects driven by real-world impact.
- Supervising and co-supervising a team of 3–6 PhD and Master’s students.
- Collaboration with a dedicated team of hardware engineers in maintaining specialized UAVs dedicated to real-world experiments.
Eligibility Criteria
Experience:
- PhD degree (completed or close to defense).
- Max 8 years of research experience after PhD.
- Experience with modern machine learning (LLMs, VLMs).
- Strong publication record in top-tier venues (RSS, ICRA, IROS, Q1–Q2 journals).
Required Skills
- PhD in Computer Science, Machine Learning or a related field.
- Excellent written and spoken English.
- Strong interest in mathematics, programming, and abstract thinking.
- Experience with Linux OS, Git, ML toolboxes (pytorch, tensorflow).
- Ability to design and implement complex algorithms efficiently.
What we offer
- Highly competitive salary (approx. double the national average).
- Family allowance for applicants with dependent family members.
- Travel support for conferences and research budget.
- Work in a world-class group (Winner of MBZIRC, DARPA SubT Challenge).
About MRS Group: We integrate disciplines for the design and deployment of complex robotic systems. More info at mrs.fel.cvut.cz.
How to Apply / Contact
Please send your motivation letter, CV, and list of publications to:
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