We are seeking a full-time Postdoctoral Research Assistant to join the Dynamic Robot Systems Group, part of the Oxford Robotics Institute and the Department of Engineering Science, University of Oxford (Central Oxford). The post is funded by the Engineering and Physical Sciences Research Council (EPSRC) and is for 12 months in the first instance.
The researcher will develop mapping and reconstruction algorithms suitable for navigation in challenging field environments by fusing vision, LIDAR and inertial sensing. You will be responsible for the development and evaluation of algorithms intended for our robots - the ANYmal quadruped robot and other UGVs. The vision of our group is to achieve reliable multi-sensor navigation on computationally constrained platforms moving dynamically in challenging lighting conditions. Our focus is on developing 360 degree situational awareness and spatial perception.
You should have a PhD/DPhil (or near completion) in robotics, computer vision, machine learning or a closely related field. You should have an excellent academic track record in topics relevant to robotics, visual navigation, visual inertial navigation (VINS), mapping (SLAM), path and motion planning or related areas. Ideally you should have experience working with real robots and have experience working in a team. Experience working with legged locomotion would be desirable but not expected.
Informal enquiries may be addressed to Dr Maurice Fallon (firstname.lastname@example.org). Further information can be found at:
Only online applications received before midday on the 31st March 2021 can be considered. You will be required to upload a covering letter/supporting statement, including a brief statement of research interests (describing how past experience and future plans fit with the advertised position), CV and the details of two referees as part of your online application.
The Department holds an Athena Swan Bronze award, highlighting its commitment to promoting women in Science, Engineering and Technology.
Keywords: robotics, navigation, mapping, SLAM, exploration