Join the European leader bringing autonomous vehicles to marketSelf-driving cars are one of the most significant research and engineering challenges of our time.
At FIVE, we're using the power of autonomy to transform Europe's cities. For everyone. We'll transform cities, transport, the environment, safety, access and lifestyle.
We're bringing together the best minds in AI, engineering and mobility to deliver a fully autonomous shared transport service for Europe's cities.
The benefits will be vast and wide-ranging.
With experienced founders, world-class scientists and supervision from top professors, our team is accelerating research in advanced machine learning and computer vision, and applying it in the real world.
We're a well-funded energetic group of creative problem-solvers and practical doers from a range of backgrounds in areas such as motorsport, robotics, machine learning, computer vision, control engineering, software assurance, simulation and verification.
We are looking for individuals to help build our vision, to shape, develop and validate our world-changing software, and to deliver it into one of the most exciting markets for ML.
So if you are a self-motivated engineer, computer scientist, mathematician or physical scientist, and want to play your part in shaping the future, come and join us.
About the Oxford Research Group :
Five AI's Oxford Research Group conducts and publishes state-of-the-art research in computer vision and machine learning.
We have a particular focus on techniques that can be applied in an autonomous driving context. Led and managed by Dr Stuart Golodetz, with strong collaborative links to Professor Philip Torr's Computer Vision Group in Oxford's Engineering Science Department.
Example areas that we cover include, but are not exclusive to, adversarial robustness, camera pose estimation, depth estimation, meta-
learning, network calibration, network compression, object tracking, semantic segmentation and SLAM. We're looking for contributors who can positively add to research in these and other areas of computer vision and machine learning.
About this Internship :
The purpose of this internship is to conduct state-of-the-art research in either network calibration or domain adaptation / transfer learning.
A deep curiosity coupled with expertise in either or both of these areas will pique our interest. However, we're also open to people with expertise in other areas and enthusiasm for conducting research on these topics.
domain adaptation / transfer learnin
The internship itself is expected to last approximately six months, maybe longer depending on availability.
About You :
in line with your career stage and the research opportunities you have had, or have demonstrable potential to publish in such venues.