Job description
This is an exciting opportunity to work in a collaborative partnership between the University of the West of England (UWE) and Metrea Mission Date under the UK Government sponsored Knowledge Transfer Partnership (KTP) programme. The position is a 24-month fixed term contract.
With specialist support from the Centre for Machine Vision academic team at UWE Bristol, you will lead on a 24-month project where you will analyse images and video footage of Resident Space Objects (RSOs) in Low Earth Orbit. Your deep learning analysis of these distance objects will aim to enable identification, size estimation and other characteristics.
To lead the KTP project, carrying out tasks as specified in the project workplan and/or as agreed by the Local Management Committee of the KTP, to include:
– Implementing state-of the-art techniques including generation of
higher from lower resolution images, object modelling, recognition and
classification, characterising of object position and attitude, and the
identification and use of appropriate machine learning methods.
– Determining optimal approaches by designing, implementing and
reporting performance of algorithims.
– Communicating with varied audiences/media including but not limited
to business directors in decision-making meetings, at scientific
presentations or trade conferences and in writing (technical reports).
– Integrate requirements with state-of-the-art methods to best
determine what to include in the data set and how it will enable consistent
testing across dependent stages.
– Understand MMD’s existing system, understand documentation and
work closely with software development teams to ensure conformity, and
support in the design of any required data communication interface.
– Efficient project management to de-risk the project. Must monitor
own progress against planned and effectively communicate this to the team
and manage and implement changes as the project progresses.
Project description
The project objective is to objective is to establish a unique software solution that adapts air platform mounted cameras to look up into orbit to detect, track, image and categorise Resident Space Objects. The KTP will embed machine learning principles to allow autonomous detection and categorisation of space objects to provide essential data to clients.
About the business
Metrea Mission Data (MMD) was originally founded in 2005, and is headquartered in Malvern, United Kingdom. MMD combines unique technical capabilities in C4ISR, tactical data links (TDL), and electronic warfare (EW) with significant operational expertise across the electromagnetic spectrum to help customers optimize their systems. We look beyond the sensors, terminals and platforms that fixate others to connect our partners with the data, skills and understanding they need.
Machine Learning
Space Data Analyst
Minimum 2I degree in relevant STEM discipline
20 November 2023
10 December 2023
R06750
This is an exciting opportunity to work in a collaborative partnership between the University of the West of England (UWE) and Metrea Mission Date under the UK Government sponsored Knowledge Transfer Partnership (KTP) programme. The position is a 24-month fixed term contract.
With specialist support from the Centre for Machine Vision academic team at UWE Bristol, you will lead on a 24-month project where you will analyse images and video footage of Resident Space Objects (RSOs) in Low Earth Orbit. Your deep learning analysis of these distance objects will aim to enable identification, size estimation and other characteristics.
To lead the KTP project, carrying out tasks as specified in the project workplan and/or as agreed by the Local Management Committee of the KTP, to include:
– Implementing state-of the-art techniques including generation of higher from lower resolution images, object modelling, recognition and classification, characterising of object position and attitude, and the identification and use of appropriate machine learning methods.
– Determining optimal approaches by designing, implementing and reporting performance of algorithims.
– Communicating with varied audiences/media including but not limited to business directors in decision-making meetings, at scientific presentations or trade conferences and in writing (technical reports).
– Integrate requirements with state-of-the-art methods to best determine what to include in the data set and how it will enable consistent testing across dependent stages.
– Understand MMD’s existing system, understand documentation and work closely with software development teams to ensure conformity, and support in the design of any required data communication interface.
– Efficient project management to de-risk the project. Must monitor own progress against planned and effectively communicate this to the team and manage and implement changes as the project progresses.