and work with many different platforms. Loving drones and writing software are key to succeeding in this role. You must have these to apply: Bachelor's degree in Robotics, Computer Science, Mechatronics, Electrical Engineering, Mechanical Engineering, or related field Experience developing code for autopilots, Ardupilot or PX4 Experience developing companion compute solutions using frameworks like MAVLink, MAVSDK, or DJI … time to build, test, and deploy capabilities in the real world A desire to work on critical software that has a real-world impact Nice to have: Experience with computervision based positioning and navigation in UxVs (Visual Odometry, SLAM) Experience with simulation tools (Gazebo, X-Plane, Airsim, Unreal, etc.) Familiarity with optical sensors and solutions Experience designing More ❯
the opportunity to lead the Podium Institute and serve as its Director. The successful candidate will hold a doctorate in the general area biomedical engineering, information engineering, electrical engineering, computer science or in a cognate discipline relevant to the requirements of the post. They will have a proven research track record in the general field of biomedical engineering or … its applications, in the general area of computervision, wearable, neuroimaging and machine learning technologies for mental health and cognition. They will contribute to research in biomedical engineering and experimental psychology, supervise research students and research assistants, and obtain external funding to enable development of new and independent research and ensure the longer-term sustainability of the Podium … appointee may also tutor, supervise or co-supervise advanced undergraduate students in Experimental Psychology. Qualifications and Research A doctorate in the field of biomedical engineering, information engineering, electrical engineering, computer science or in a cognate discipline relevant to the requirements of the post An internationally recognised academic and research record, or on a trajectory to achieve this, within the More ❯
art The field of machine learning has recently been much impacted by deep learning. Deep neural networks are now at the basis of the state-of-the-art in computervision, natural language processing, to cite just a few. While very effective, these models are computationally costly and require large quantities of data for their many parameters to More ❯
