School of Computing, Engineering & Physical Sciences in partnership with BRS Technology Limited

Job Title:       Data Scientist - KTP Associate    
Req No:         REQ000722
Location:      Glasgow and occasional travel to Paisley
Salary Scale: £28,500 to £33,500 per annum, plus £4,000 personal development 
budget
Full-time:       37.5 hours per week 
Fixed Term:   24 months

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 residential and 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: www.ktpws.org.uk or contact Stuart McKay stuart.mckay@uws.ac.uk 

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, H2o.ai, 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.   

If you have questions about this vacancy contact: Dr. Zeeshan Pervez zeeshan.pervez@uws.ac.uk or Prof. Naeem Ramzan naeem.ramzan@uws.ac.uk  

Further information, including details of how to apply is available at http://www.uws.ac.uk/about-uws/jobs

Closing date:  Sunday 28th April 2019
Interviews to be held: Wednesday 15th May 2019 at BRS Technology Ltd 

UWS is committed to equality and diversity and welcomes applications from underrepresented groups. 

UWS is a “Disability Confident” employer.

University of the West of Scotland is a registered Scottish charity, no. SC002520