PhD Candidate In The Area Of Counterfactual Machine Learning (F/M/D)

Key Skills

Aartificial intelligence, AI Robotic systems, C Programming, C++, Effective communication skills, German Language, Machine learning techniques, Python Programming, PyTorch, TensorFlow

Job Description

Bridging the gap between your doctoral studies and the kind of career challenge you’re looking for isn’t always easy. That’s why our ProMotion PhD programme gives you the opportunity to apply your passion and scientific expertise to very real challenges that could shape the future of mobility. If selected, you’ll have the chance to really develop your own future career path with us through your practice-related thesis, promote your chosen specialty from within – and position yourself to secure the career you’ve always wanted.

We, the BMW Group, offer you an interesting and varied phd position in the area of Counterfactual Machine Learning for Intelligent Interactive Systems.

Innovation occurs at the intersection of multiple disciplines. We are offering an exciting Ph.D. program in Artificial Intelligence, Robotics, and Machine Leaning.

What awaits you?

• Ph.D. program at the BMW Group in the field of Artificial Intelligence, Robotics, and Machine Learning.
• Excitement over the development of novel Counterfactual Machine Learning for Intelligent Interactive Systemsr and smart vehicles with various sensing modalities that must perform optimally under any conditions.
• Implementation and validation of developed frameworks in Robotic systems and Intelligent Interactive Vehicle.
• Collaborating with a highly specialized international team of AI/ ML and robotics scientists and engineers.
• The work will be carried out at the RoboTac Lab, BMW Group Research (AI and Robotic Center of Excellence), Munich, Germany. 
• The RoboTac Lab is equipped with cutting-edge hardware, robotics systems, intelligent vehicle, computational devices, software, etc. 
• Opportunity to attend top International Conference in AI/ML and Robotics such as ICRA, IROS, CVPR, ICML, ...

What should you bring along? 

• Master's degree in Electrical Engineering, Computer Science Mathematics, Systems, and Control, or a related field from a top international university.
• Strong mathematical background and a strong interest in robotics and 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 required.
• Experience with deep learning frameworks (e.g. PyTorch, Tensorflow).
• Having at least one publication in top IEEE conferences such as ICRA, and IROS or top journals such as T-RO, AURO, RAL, etc.
• Good teamwork and communication skills, and an independent and structured working style.
• Efficient communication skills in English. German is an advantage.

Are you enthused by new technologies and an innovative environment? Apply now!

At the BMW Group, we see diversity and inclusion in all its dimensions as a strength for our teams. Equal opportunities are a particular concern for us, and the equal treatment of applicants and employees is a fundamental principle of our corporate policy. That is why our recruiting decisions are also based on personality, experience and skills.

Find out more about diversity at the BMW Group at bmwgroup.jobs/diversity.