EO Data Engineering Internship for In-Orbit Object & Event Detection utilising Satellite Edge Computing

Remote (UK)

Job Type

Full Time Internship

Job ID

-

Title: EO Data Engineer for In-Orbit Object & Event Detection utilising Satellite Edge Computing


Code: 22/68


Company:

Little Place Labs LTD.


Location:

Remote


Company Description:


Little Place Labs (“LPL”) is building software applications utilising advanced machine learning techniques that can be deployed on remote sensing satellites optimised for the Space environment. This is also known as “Satellite Edge Computing” and will allow raw data to be processed immediately as it is captured, and insights to be developed in orbit.


LPL was formed in 2020 and the founding team members have roots at the University of Oxford. We have a very diverse background culturally and professionally, we all love space and tech, and share the same passion of building Space-tech solutions to improve people’s wellbeing, help the environment and change the world for the better. Our key partners include academic and market leaders like Deloitte, Amazon Web Services, Starburst, Oxford Space Initiative and Edge Computing in Space Alliance.



Project Description:


Today’s satellites capture huge amounts of raw data and sending that to Earth via ground stations is slow and expensive due to constraints on power and bandwidth for these satellites. Only minimal processing is done onboard the satellite. As a result, it takes way too long to get meaningful insights into the hands of end-users. Additionally, many companies cannot even downlink all of their raw data from the satellite and even the one that’s downloaded is sometimes unusable.


Satellite earth observation is crucial for detecting time-sensitive events like natural disasters, Illegal activities, defence etc. To minimise the impact, it is critical for decision-makers and responders on the ground to know, with minimum latency, where and when such events happen. Early actionable alerts can improve operational efficiency, mitigate losses and even save lives. Using wild detection as an example, imagine first responders being notified within a few minutes of the onset instead of hours.


LPL is engaged in various object detection projects using satellite data including RGB, mutli-spectral and SAR, and onboarding processing. The end use cases include surveillance of vessels in the open ocean, tracking of trucks and ground fleets, measuring of emissions & carbon impact etc. The successful candidate would be involved in upcoming milestones such as:


  • Building Data Pipes and Architecture

  • Enhancing our machine learning solutions

  • Testing in a ground lab simulating the environment of a satellite

  • Deploying our solutions onto a satellite in space




Applicant Specification:


Applicants will need to have an interest in Earth Observation and Machine learning, basic programming skills in Python, willingness to learn quickly and the ability to follow instructions. Minimum bachelor degree in GIS, Geography, Geoscience, Computer Science or similar.


Minimum Requirements:


Experience in Satellite Data Preparation and Cleansing, GIS software skills (QGIS and/or ArcGIS), Python programming, experience working with geospatial data.


Excellent communication skills, good listener, interest in undertaking research, ability to learn new technologies, ability to follow instructions, attention to details. Able to build modular & re-usable tools, writing maintainable code, owning technical and business documentation



Preferred Additional Requirements:


Experience applying machine learning and/or computer vision techniques (including

corresponding python libraries such as TensorFlow and OpenCV)


Experience using version control software (e.g. Git, SVN) and linux environments


Experience working with multi-spectral image data, or other data fusion tasks



Further details:


8 weeks minimum fixed term contract to be agreed with successful candidate. Virtual Induction Event to be held on Monday 27 June 2022. Ideally to complete before the start of the next academic year. Salary is £1,500 per calendar month gross.


Closing Date for Applications: 12pm on Tuesday 31st May


Applications should be made through the online form on the Satellite Applications Catapult website before the closing date.


https://sa.catapult.org.uk/work-with-us/space-placements-industry-spin/


Please note that elements of the form left incomplete will be deemed to render the application ineligible. They will be checked for eligibility and forwarded to the employer. Email applications made to the Satellite Applications Catapult, UK Space Agency, or host organisations will not be processed.