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: This email address is being protected from spambots. You need JavaScript enabled to view it. and include the position you are applying for in the email subject line to help speed up the process.