Job description
Northumbria University in partnership with ROSEN(UK) Ltd are seeking a high-calibre graduate with an MSc (or equivalent) or other Higher Degree in a relevant field such Computer Science or Data Science with a focus on Artificial Intelligence and Machine Learning. You will take a leading role in an ambitious project, developing and testing predictive models for pipeline asset integrity. This project is part of a Knowledge Transfer Partnership (KTP) and you will be working with ROSEN(UK) Ltd at their base in Newcastle upon Tyne (UK), collaborating with an academic team based within the Department of Computer and Information Sciences, Northumbria University.
Project description
This is a great opportunity to use cutting edge technical skills in AI and data engineering, including ETL and visualisation, to develop innovative methods for predicting unpiggable gas/oil pipeline conditions identifying features based on advanced anomaly detection and machine learning methods.
Please note the start date for the position will be agreed with the appointee. Start date is a guide only.
About the business
The ROSEN team at Quorum Business Park, Newcastle, works closely with global operators of oil & gas production facilities, pipelines and utility systems to reduce risk, maintain integrity and extend the service life of client assets. Many of our Principal Engineering Consultants are able to draw on more than 30 years of industry experience in materials, corrosion, welding and asset integrity. ROSEN in Newcastle applies this knowledge to develop and provide cost-effective solutions for our clients across the energy sector.
Energy, Engineering,
Data Science
MSc (or equivalent) or other Higher Degree in a relevant field such Computer Science or Data Science with a focus on Artificial Intelligence and Machine Learning.
5 September 2023
1 October 2023
1 December 2023
1500
Northumbria University in partnership with ROSEN(UK) Ltd are seeking a high-calibre graduate with an MSc (or equivalent) or other Higher Degree in a relevant field such Computer Science or Data Science with a focus on Artificial Intelligence and Machine Learning. You will take a leading role in an ambitious project, developing and testing predictive models for pipeline asset integrity. This project is part of a Knowledge Transfer Partnership (KTP) and you will be working with ROSEN(UK) Ltd at their base in Newcastle upon Tyne (UK), collaborating with an academic team based within the Department of Computer and Information Sciences, Northumbria University.