Secure Imagery over Mesh Space (SIMS) (Ref 16/2)

Company Name: SQR Systems

Location: Covent Garden, London

Company Description

SQR Systems is a young, ambitious team committed to making cyber security usable and reliable, while improving the user experience. We are building the next generation of secure communications products with applications varying from ensuring data privacy on mobile devices, to providing enhanced surveillance capabilities for law enforcement and the protection of IoT sensors.

We are proud winners of the November 2011 Shell LiveWIRE Grand Ideas Award and the Shell LiveWIRE Innovation Award 2012, both of which recognise young entrepreneurs with the most innovative business ideas. In 2013 we won the Cambridge Wireless Discovering Start-ups Competition, that year we also won the Start-up category at the Global Security Challenge, and was runner-up at Vator Splash London. In 2014, we were finalists of the Smart UK Project, a competition to find the UK’s most innovative mobile company, and this year we were one of the showcase winners of Innovate 2015, UK’s largest innovation conference.

Having worked on exciting new products for mobile devices, we are now turning our attention to space.

Project Description

The vision is to deploy a network of sensors (i.e. CubeSats) securely sharing data with each other in space, over disadvantaged networks. The objective of the internship is to demonstrate SQR Systems technology streaming imagery on a sensors platform, with data travelling securely through a mesh of embedded devices, in a way that the data can be adapted by mesh nodes in real-time in response to network conditions.

The applicant will investigate physical interfaces for embedded devices (emulating CubeSat platforms) to communicate. He/she will implement a mesh network infrastructure using standard mesh network protocols over a number of embedded devices.

The applicant will work with our API to encode and encrypt the imagery using SQR Systems’ unique patented encryption solution, and implement the signalling allowing individual mesh nodes to adapt the imagery characteristics and bandwidth requirement without decrypting the data.

Student Specification:

Targeted courses

The successful applicant should be studying Computer Science, Electronics & Communications Engineering or similar technical discipline from a top University.

Key skills

Experience in embedded programming using C/C++, networking technologies and streaming protocols (RTP, RTSP, HTTP) and an interest in cryptography would be an advantage. The applicant will be working with our pre-compiled software libraries so development on Linux platforms is essential particularly familiarity with build tools such as Makefiles and CMake.

Knowledge or an interest in the Internet of Things (IoT) protocols and standards would be an advantage.

The Nitty Gritty: 8 week fixed term contract to be agreed with the successful candidate. The programme’s Induction Day will be at Harwell on 27th June. Gross salary £1,500 pcm.

Closing Date for Applications: 1 February 2016

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