Partnerships Office

KTP Associate Vacancies

Research & Knowledge Exchange

IoT Database Developer (KTP Associate 1) – Job Ref: 1779721

INVISIBLE SYSTEMS Limited

Salary: £25,750 - £29,000
Contract type: Fixed Term
Duration of contract: 24 months
Hours: Full time
Closing date: 19 Dec 2018
Location: Company Premises (KTP Only)

Based in Milnthorpe, Cumbria

KTP Associate with Invisible Systems Ltd

Overview

In collaboration with Invisible Systems Ltd, the University of Salford has secured a Knowledge Transfer Partnership (KTP). The project’s aim is to develop a database structure and relevant algorithms to support  Real-time Online user interfaces.

Based primarily at Invisible Systems’ offices in Milnthorpe, Cumbria (LA7), the successful applicant will manage the project supported by experienced staff from both Invisible Systems Ltd and the University of Salford.

Established in 2003, Invisible Systems manufacture hardware and software enabling customers to monitor, measure and manage environmental conditions via their Realtime-Online cloud software management portal.   The company provide solutions including critical asset management, water hygiene & food temperature compliance, energy metering, boiler control plus general condition and monitoring control. Their clients across the UK include the National Grid, Royal Mail, United Utilities, British Gas and Network Rail.

The KTP project will establish a deep knowledge base of skills and expertise in three main areas; ‘Big Data’ handling; Development of customisable and user-friendly software and advanced visualization techniques. The KTP model will enable the academic team to embed modern software development and deployment architectures for new software modules providing services for IoT wireless networks in order for the company to be able to continually innovate as the demands of the market change.

Excellent training and career progression is available for the right candidate.

The Academic team at the University of Salford consists of Professor Farid Meziane, Dr Julian Bass and Dr Elon Correa.

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IoT Web Application Developer (KTP Associate 2) – Job Ref: 1779730

INVISIBLE SYSTEMS Limited

Salary: £25,750 - £29,000
Contract type: Fixed Term
Duration of contract: 24 months
Hours: Full time
Closing date: 19 Dec 2018
Location: Company Premises (KTP Only)

KTP Associate with Invisible Systems Ltd

Overview

In collaboration with Invisible Systems Ltd, the University of Salford has secured a Knowledge Transfer Partnership (KTP). The project’s aim is to develop a front end web application for an Internet of Things solution, with modular user interface to present information in a dynamic, customizable and easy to read way.

Based primarily at Invisible Systems’ offices in Milnthorpe, Cumbria (LA7), the successful applicant will manage the project supported by experienced staff from both Invisible Systems Ltd and the University of Salford.

Established in 2003, Invisible Systems manufacture hardware and software enabling customers to monitor, measure and manage environmental conditions via their Realtime-Online cloud software management portal. The company provide solutions including critical asset management, water hygiene & food temperature compliance, energy metering, boiler control plus general condition and monitoring control. Their clients across the UK include the National Grid, Royal Mail, United Utilities, British Gas and Network Rail.

Invisible Systems recognize that in order to better serve existing and new customers, they need to redesign their current products and services, including the development of the front-end applications using advanced visualization techniques.  The current PHP platform and Realtime-Online software does not currently offer client end users the option to customize their own dashboards and reports; as well as lacking the capability to handle ‘Big Data’.  

The KTP project will establish Invisible Systems as an Innovator and market leader in the Internet of Things industry with the future potential to change the way of presenting and visualizing information collected by sensor devices in a dynamic, customizable and easy to read way.

Excellent training and career progression is available for the right candidate.

The Academic team at the University of Salford consists of Professor Farid Meziane, Dr Julian Bass and Dr Elon Correa.

APPLY NOW