Company Overview
About the job
This is an exciting opportunity to work in a collaborative partnership between the University of the West of England (UWE) and WASE Limited under the UK Government sponsored Knowledge Transfer Partnership (KTP) programme.
The position is a 36-month fixed term contract, which includes management and business skills training provided by the national KTP programme and a further £6k per annum dedicated training budget tailored towards your personal development. WASE’s purpose is to protect the planet for future generations by ensuring we live sustainably.
They have made it their mission to unlock the power of waste and make it the fuel of the future. WASE aims to accelerate the global adoption of circular waste treatment through affordable and accessible innovation.
With specialist support from the College of Arts, Technology and Engineering academic team at UWE Bristol, you will lead on a 36-month project where you will revolutionise wastewater management by advancing machine learning-based soft sensing technology for industrial use within WASE’s Electro-Methanogenesis Reactor (EMR) industrial systems. This project will provide key monitoring metrics for stakeholders, driving advancements in industrial optimisation and setting new standards in sustainability and wastewater management.
About you:
- An honours degree in Computer Science, Data Science, Software Engineering, or a related field.
- Experience in machine learning in a software development life cycle Proficiency in software design, distributed computing, full stack development and data analytics
- Experience in implementing and managing a technical project successfully
- Ability to think logically and develop creative approaches to problem solving
- Ability to work independently and maintain effective communication with partners
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