Location: | Birmingham, Fenstanton |
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Salary: | £32,000 per annum with up to £5000 for personal and professional development for the duration of the project |
Hours: | Full Time |
Contract Type: | Fixed-Term/Contract |
Placed On: | 1st February 2023 |
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Closes: | 6th March 2023 |
Job Ref: | 0079-23 |
Location: The Hazard Management & Environmental Services Laboratories Limited trading as Thames Laboratories, Hollow Farm, Fenstanton, Cambs, PE28 9LJ
Contract Type: Fixed Term (30 months)
This KTP project aims to create a system that centralises social housing residents' job requests and pushes them directly to contractors ensuring:
Candidate Profile: MSc (Merit or above) in Computer Science, Mathematics, Artificial Intelligence, Data Science or another subject involving mathematics and computing.
Key skills required: The Associate should be able to demonstrate their numerical and machine learning software skills in appropriate programming packages e.g. MATLAB/Python.
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Benefits:
This is a Knowledge Transfer Partnership (KTP) funded by Thames Laboratories and Innovate UK-KTN. It is essential you understand how KTP works and the vital role you will play if you secure this position. To learn more please visit: www.aston.ac.uk/ktp
The Company: The Hazard Management and Environmental Services Laboratories Ltd trading as Thames Laboratories (TL) is primarily an asbestos consultancy supplying surveys, project management and training across the UK. These services are provided to businesses, local authorities, social housing and education facilities using a fleet of mobile engineers. On average completing in excess of 25,000 individual jobs per year for in excess of 150 Clients across nearly 500 programmes of works. More information: https://www.thameslabs.co.uk/
Location: You will be based predominantly at Thames Laboratories in Fenstanton but will also have access to facilities at Aston University in central Birmingham. Some travel to key clients may also be required.
For informal enquiries about this role please contact Dr Alina Patelli, Senior Lecturer, Informatics and Digital Engineering, a.patelli2@aston.ac.uk
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