Postdoctoral Research Fellow in Intelligent Navigation for Space Vehicles

City, University of London

Postdoctorate Position Permanent London, UK

Uploaded 14 Jan 2021

Job Description

Developments adopting Artificial Intelligence (AI) for navigation, more precisely for space navigation, are very innovative. More importantly, the application of the latest deep neural network technology to this field is of ultimate novelty. The potential for applicability of AI spans multiple space scenarios and missions, such as like LIDAR-based precise planetary landing missions or camera-based orbital relative navigation. For this, the strategy is to build a deep, full navigation algorithm including the imaging processing part and the relative motion estimation part that are required to achieve accurate Guidance, Navigation and Control (GNC) operations, integrated together. We will work on this topic for multiple scenario cases with the prestigious body European Space Agency (ESA) and the qualified person will have the chance to interact ESA technical officers. 

Job Purpose 

The Postdoctoral Research Fellow involved in this project will focus on the study and preliminary development of deep learning-based networks for algorithms required to achieve accurate LIDAR space landing and vision-based orbital rendezvous scenarios. The developed algorithms are required to be tested in simulation, tested at City, University of London facilities and at ESA ESTEC facilities in the Netherlands.

Main Responsibilities 

The key tasks of the appointee to this research are to: 

  • Undertake research in the field specified to meet the aims, objectives and project specifications given in the proposal.
  • Build upon previous literature and experience in Space Robotics, Navigation and Localisation, in relation to space landing and orbital space rendezvous.
  • Support the administration of the project including preparation and maintenance of Risk Assessment procedures and forms, as well as study monitoring, etc.
  • Preliminary design and development of the algorithms of the project.
  • Work with the project consortium to improve and test the algorithms developed.
  • Liaise with other members of the research team to ensure the delivery of the project objectives and achievement of milestones.
  • Contribute to reporting of the progress of the research.
  • Take an active role in IP protection, including drafting patents.
  • Prepare and make presentations on the work for the project requirements.
  • Work as a member of the research team within the discipline, playing a full part in the research life of the University in general, and the School of Mathematics, Computer Science and Engineering, in particular.
  • Take up other duties and tasks, such as supporting the writing of research and teaching activities, as may reasonably be assigned by the supervisor and/or Head of School.

Person Specification

The successful candidate will hold a relevant MSc or PhD in Electrical or Mechanical Engineering, Space Engineering, Computer Science, Mechanical Engineering or a related field. They should have experience in research in the area of space engineering, deep networks, guidance navigation and control and computer vision. Software and Real time programming capabilities is highly desirable.

For more details on requirements see the full description on the City University of London website.