The Space Placements in INdustry scheme (SPIN) has been designed to provide an introductory link for those considering employment in the space sector and space sector organisations looking to find the most talented and enthusiastic people to ensure the future success of their businesses. The scheme is managed by the Institute for Environmental Analytics at the University of Reading and supported by the Satellite Applications Catapult and the UK Space Agency.
The value of practical experience in the workplace has long been recognised to offer benefits to the spintern, providing valuable experience of the work environment and the skills that are crucial to a successful career, and benefits to the sponsor or host organisation who can identify a project that might otherwise not be achievable, carried out with a fresh pair of eyes and perhaps a fresh perspective on their own organisation and possibly provide an informal extended interview of a potential employee.
The scheme has been running since 2013 and continues to grow in popularity. We always encourage enquiries from potential host organisations who have a short-term project (typically of eight weeks duration), and who would like to offer individuals the opportunity to gain new skills and an insight into their business.
We welcome applications from individuals from all disciplines who are enthusiastic to work in the Space sector and are keen to develop new skills, applying and building on the knowledge they’ve acquired in their studies to date.
The 2017 SPIN scheme is now open for applications
Project Descriptions are uploaded as we receive them from companies, and are then advertised for 4 weeks before a firm closing date. It is up to you to keep an eye out for new opportunities, which can arrive at any time. We also advertise them via Twitter (using #SPIN17), Facebook and LinkedIn. Good Luck!
If you have any questions regarding SPIN, please email firstname.lastname@example.org.
|Project Title||Ref||Company Name||Location||Closing Date|
|Design and implement a (Deep) Neural Network to identify and output rooftop coordinates in a specific region of interest||17/01||Bird.i||Glasgow||CLOSED|
|Contextualisation of satellite imagery||17/02||Bird.i||Glasgow||CLOSED|
|Satellite Data Visualisation||17/03||Bird.i||Glasgow||CLOSED|
|Populating an innovative web platform with Earth observation products and services||17/04||Geocento||Harwell||CLOSED|
|Open Source Satellite Applications for Land & Water Resource Management||17/05||Pixalytics||Plymouth||CLOSED|
|Developing an Animation to Communicate the Benefits of Satellite Earth Observation||17/06||eOsphere Ltd||Harwell||CLOSED|
|Software for Nanosatellite System||17/07||Open Cosmos||Harwell||CLOSED|
|Remote Sensing Flood Foresight||17/08||JBA Consulting||Oxfordshire / North Yorkshire||CLOSED|
|Mechanical Systems Project Activities||17/09||SSTL Ltd||Guildford, Surrey||CLOSED|
|Driving Simulator Integration||17/10||Spirent Communications||Paignton, Devon||CLOSED|
|A Self-Deploying Space Mast System Using Eddy Current Damping||17/11||Oxford Space Systems||Harwell, Oxfordshire||CLOSED|
|Using satellite data to track the disintegration of Antarctic peninsula glacier Larsen C||17/12||The Open University, Faculty of STEM||Milton Keynes||CLOSED|
|Visibility maps for remote sensing and surveying||17/13||The Open University, Faculty of STEM||Milton Keynes||CLOSED|
|Iceberg detection with satellite data||17/14||The Open University, Faculty of STEM||Milton Keynes||CLOSED|
|Characterisation of UVIS Spectrometer from in-flight data||17/15||The Open University, Faculty of STEM||Milton Keynes||CLOSED|
|Characterisation of a novel CMOS TDI image sensor||17/16||The Open University, Faculty of STEM||Milton Keynes||CLOSED|
|Extracting value from Sentinel data using Big data and Machine learning tools – Change detection, automatic classification||17/17||RHEA Group||Harwell, Oxfordshire||CLOSED|
|Using Space for Smart, Connected and Conscious Cities||17/18||Starlab Ltd||Harwell, Oxfordshire||CLOSED|
|Evaluating state-of-the-art atmospheric correction techniques for optical satellite data||17/19||Satellite Applications Catapult||Harwell, Oxfordshire||CLOSED|
|Crowd sourced Satellite Image Tagging for Machine Learning||17/20||Satellite Applications Catapult||Harwell, Oxfordshire||CLOSED|
|Predicting Spatial Patterns of Urban Growth in African Cities||17/21||Satellite Applications Catapult||Harwell, Oxfordshire||CLOSED|
|An end-to-end processing chain for operational optical ship detection using Earth Observation data||17/22||Satellite Applications Catapult||Harwell, Oxfordshire||CLOSED|
|Software Defined Radio (SDR) development for Nanosat Ground Segment||17/23||Satellite Applications Catapult||Harwell, Oxfordshire||CLOSED|
|Design Communicator – Human-Centred Design Guide for the Space Industry||17/24||Satellite Applications Catapult||Harwell, Oxfordshire||CLOSED|
|Building first ever cognitive recruitment App for intelligent and personalised hiring decisions||17/25||MeVitae||Harwell, Oxfordshire||CLOSED|
|Using InSAR to map and monitor deformation||17/26||NPA Satellite Mapping, CGG Services (UK) Ltd||Edenbridge, Kent||CLOSED|
|Radiation testing of digital ICs||17/27||Cobham RAD Solutions||Harwell, Oxfordshire||CLOSED|
|Transferring smart garment technology to the Space Sector||17/28||Kymira Ltd, University of Reading||Reading||CLOSED|
|Six Research Experience Placements in Meteorology, Geography and Environmental Science||17/29||SCENARIO Doctoral Training Partnership, University of Reading||Reading||CLOSED|
The Satellite Applications Catapult also hosts other internships which are run throughout the year, which can be found on our vacancies page.