Huawei Research Center Germany & Austria
Research Engineer - Robot Learning(m/w/x)
Full-timeOn-siteSenior
München
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BMBMW Group
PhD Embodied AI for Robust Multi-Modal Perception and Learning(m/w/x)
München
Full-timeOn-siteSenior
AI/ML
Nejo AI Summary
Developing and validating multi-modal AI for robotic systems, utilizing advanced hardware at the RoboTac Lab. Extensive C/C++/Python software development and one top IEEE publication required. Work in international team, flexible hours, mobile working.
Requirements
- Master's degree in Electrical Engineering, Computer Science, Mathematics, Systems, Control, or related field
- Strong mathematical background and interest in robotics, robot learning, Transfer Learning, machine learning, Deep Active Learning, Multi-modal Active Perception and Learning, AI-based Control Architecture, Human-Machine Interaction
- Extensive practical software development experience, preferably in C/C++ and Python
- Experience with deep learning frameworks (e.g. PyTorch, Tensorflow)
- At least one publication in top IEEE conferences or top journals
- Efficient communication skills in English; German is an advantage
- Valid residence or work permit for citizens outside the European Union
Tasks
- Develop Multi-Modal Perception and Learning for intelligent interactive systems
- Implement and validate advanced frameworks in robotic systems
- Collaborate with an international team of AI/ML and robotics experts
- Conduct research at the RoboTac Lab in Munich
- Access cutting-edge resources, including advanced hardware and robotic platforms
- Showcase research at leading international conferences
Work Experience
- approx. 4 - 6 years
Education
- Master's degree
Languages
- English – Business Fluent
- German – Basic
Tools & Technologies
- C/C++
- Python
- PyTorch
- Tensorflow
Benefits
Flexible Working
- Flexible working hours
- Digital offers & mobile working
Competitive Pay
- Attractive, fair remuneration
Mentorship & Coaching
- Comprehensive mentoring & onboarding
Learning & Development
- Personal & professional development
Other Benefits
- Apartment offers for students
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of BMW Group and processed the information on Nejo with the help of AI for you. Despite careful analysis, some information may be incomplete or inaccurate. Please always verify all details in the original posting! Content and copyrights of the original posting belong to the advertising company.
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PhD Embodied AI for Robust Multi-Modal Perception and Learning(m/w/x)
München
Full-timeOn-siteSenior
AI/ML
Nejo AI Summary
Developing and validating multi-modal AI for robotic systems, utilizing advanced hardware at the RoboTac Lab. Extensive C/C++/Python software development and one top IEEE publication required. Work in international team, flexible hours, mobile working.
Requirements
- Master's degree in Electrical Engineering, Computer Science, Mathematics, Systems, Control, or related field
- Strong mathematical background and interest in robotics, robot learning, Transfer Learning, machine learning, Deep Active Learning, Multi-modal Active Perception and Learning, AI-based Control Architecture, Human-Machine Interaction
- Extensive practical software development experience, preferably in C/C++ and Python
- Experience with deep learning frameworks (e.g. PyTorch, Tensorflow)
- At least one publication in top IEEE conferences or top journals
- Efficient communication skills in English; German is an advantage
- Valid residence or work permit for citizens outside the European Union
Tasks
- Develop Multi-Modal Perception and Learning for intelligent interactive systems
- Implement and validate advanced frameworks in robotic systems
- Collaborate with an international team of AI/ML and robotics experts
- Conduct research at the RoboTac Lab in Munich
- Access cutting-edge resources, including advanced hardware and robotic platforms
- Showcase research at leading international conferences
Work Experience
- approx. 4 - 6 years
Education
- Master's degree
Languages
- English – Business Fluent
- German – Basic
Tools & Technologies
- C/C++
- Python
- PyTorch
- Tensorflow
Benefits
Flexible Working
- Flexible working hours
- Digital offers & mobile working
Competitive Pay
- Attractive, fair remuneration
Mentorship & Coaching
- Comprehensive mentoring & onboarding
Learning & Development
- Personal & professional development
Other Benefits
- Apartment offers for students
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of BMW Group and processed the information on Nejo with the help of AI for you. Despite careful analysis, some information may be incomplete or inaccurate. Please always verify all details in the original posting! Content and copyrights of the original posting belong to the advertising company.
About the Company
BMW Group
Industry
Automotive
Description
Das Unternehmen bietet spannende Praktika im Bereich Markenerlebnis und Eventmanagement und legt großen Wert auf Gleichbehandlung und Chancengleichheit.
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