Classic KTP Vacancy advertisement details

Reference: 3874/1

Location: Glasgow, City of Glasgow, G21 4BF
Salary: £28,500 to £33,500 per annum
Qualification required: MSc in Computer Science/Data Science
Closing Date: 28 April 2019
KTP Advert Ref: 3874/1
An exciting opportunity for a Data Scientist for Internet of Things (IoT) Applications has become available to work full time on a 24 month Knowledge Transfer Partnership (KTP). The aim of the project is to improve the indoor air quality within social housing sector and provide analytics to home builders.

Key duties for the successful KTP Associate will include assessing the existing IoT framework, developing IoT enabled network to monitor the indoor environment, capture streaming data from a cluster of IoT devices using long-range wireless communication protocols and then train and embed IoT and machine learning capabilities within the company.

BRS Technology provide innovate software solutions to the residentia land commercial construction and building performance industry with a mission to improve the energy design and performance of residential homes.

The successful candidate will have the opportunity to register free of charge for a Higher Degree (Masters or Ph.D.), receive training in Chartered Management Institute (level 5), work with senior company management to realise benefits to the business and apply their degree and lead their own project in a business environment.

About KTP:

This position forms part of the Knowledge Transfer Partnership (KTP) funded by Innovate UK. It's essential you understand how KTP works with business and the University, and the vital role you will play if you successfully secure a KTP Associate position. Please visit: or contact Stuart McKay
Skills required: The successful candidate must possess:

A minimum of 2:1 in MSc in Computer Science/Data Science or a relevant degree in the areas of Software Engineering/Development, Information Technology, or Telecommunication.

The ideal candidate will have expertise in programming language like Python, Java, C/C++ or Matlab, prior experience of working with machine learning libraries such as Scikit-learn, TensorFlow, Keras,, experience in developing IoT applications and services using Raspberry Pi or Arduino boards. Hands-on experience of setting up long-range IoT sensing networks using LoRa and LoRaWAN is essential. You should have good project management skills, strong analytical and numerical skills with the ability to plan your work under your own initiative and work to deadlines. Strong skills in documentation, report writing and presenting to a diverse audience will be necessary for this post.
Knowledge Base Partner: West of Scotland, University of the
Company partner: BRS Technology Limited
Company business area: Provide innovate software solutions to the residential and commercial construction and building performance industry, specialising in SAP/EPC software and Thermal transmittance measurement.
Contact: Dr Zeeshan Pervez, University of the West of Scotland, Tel: ., Fax: .

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