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Research Scientist (f/m) Machine Learning and Knowledge Representation
Published(566 days ago)
Honda Research Institute Europe GmbH (HRI-EU)Offenbach am Main
The Honda Research Institute Europe is working at the cutting edge of scientific research
towards artificial intelligence, robotics, and intelligent systems. Our vision is a society in which
humans and intelligent cyber-physical systems raise and support each other in accord
We are looking for a highly motivated and talented researcher m/f sharing our spirit of
turning pioneering scientific research into groundbreaking innovations. If you want to contribute
your ideas for making this a reality, join us at our institute at Offenbach am Main, Germany.
Research Scientist Machine Learning + Knowledge Representation
Understanding their environmental and their situational context is a key capability for interacting
robots and intelligent agents. This requires them to establish connections between
objects and actions sensed from the environment with concepts from their internal world
The combination with reasoning allows such systems to make inferences that support
their real-world operation. Additionally, it is necessary to continuously extend the knowledge
representation to enable a flexible operation in open environments.
Scientific research and technological contributions in the fields of knowledge representation,
knowledge incorporation and consolidation, inference, logic, approximate reasoning and
reasoning with uncertainty
Development of new algorithms and concepts for incremental common-sense knowledge
acquisition using machine learning and reasoning in real-world scenarios
Contribution to the implementation and validation of interactive prototypes in real-world
scenarios for robots or intelligent agents
Publication and presentation of research results in top-ranking conferences and journals
Cooperate with leading universities and industrial research partners
PhD or an excellent Master of Science degree, and experience in a related field
PhDs should have a proven track record of excellent research and the ability to define a
research agenda contributing to our vision
Applicants holding a master’s degree have the possibility to pursue a PhD in cooperation
with academic partner institutions
Interdisciplinary experience combining formal reasoning with probabilistic and machine
learning approaches is highly regarded
We look forward to hearing from you.
Please submit your application, your earliest starting date as well as your salary
expectations online at:
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