英国伦敦城市大学博士后职位—人工智能和自主系统

Research Fellow

City, University Of London

Description

Founded in 1894, City, University of London is a global university committed to academic excellence with a focus on business and the professions and an enviable central London location.

City attracts around 20,000 students (over 40% at postgraduate level), from more than 150 countries and staff from over 75 countries.

In the last decade City has almost tripled the proportion of its total academic staff producing world-leading or internationally excellent research. During this period City has made significant investments in its academic staff, its estate and its infrastructure and continues to work towards realising its vision of being a leading global university.

Background

The School of Science and Technology, which offers a wide range of courses at Bachelors and Masters level within its four departments, with its research being organized across 12 multi-disciplinary Research Centres.

The Robotic, Autonomy and Machine Intelligence (RAMI) group where this post is located is an internationally well-established research group. More details can be found here: www. ramigroup.co.uk.

Responsibilities

RAMI Group as part of our Engineering Department is seeking to appoint on fixed term contract for 1 year (extendable depending on Performance and available budget) a Research Fellow in AI and Autonomous Systems. The fellow will develop and validate algorithms related to:

  Vision based Relative orbital Navigation of Space Vehicles using classical visual odometry and filtering techniques.

  Embedding algorithm in dedicated computing hardware

  The adoption of AI in Guidance, Navigation and Control (GNC) for Air, Space and Ground vehicles

  Single and cooperative robot’s visual Odometry (SLAM)

The Fellow will be on few prestigious research programs with partners like European Space Agency, MDA, and other research organizations and industrials in the UK and across Europe.

Person Specification

A PhD in Engineering (Electrical/Mechanical/Aeronautical) or Computer Science is required. Capability to carry out research on one or more of the following areas is essential: Vision based Navigation, Space GNC, AI, Deep Learning, Robotics, Computer vision, Embedded and Realtime Systems. Knowledge in navigation of Robots/Vehicles is desirable and Demonstrable knowledge of Programming skills (Python/C++/Matlab) is required.

Additional Information

City offers a sector-leading salary, pension scheme and benefits including a comprehensive package of staff training and development.

Closing date: 8th November 2022 at 11:59pm.