Data Analytics Engineer (KTP Associate) 216336
 

Salary range:  £34,500 - £40,000
FTE:  1
Term:  Fixed (2 years)
Closing Date: 22 September 2019

The Department of Electronic and Electrical Engineering, Institute for Energy and Environment in partnership with ICR Integrity (https://icr-world.com) are seeking to appoint a Knowledge Transfer Partnership (KTP) Associate in the area of Asset Integrity Management, with a focus on developing and deploying predictive analytics capability for pipework corrosion using machine learning techniques.

ICR is a global maintenance and integrity company offering a range of solutions in pipeline and structural maintenance, integrity, corrosion and repair across the oil and gas sector.  As a KTP Associate you will be principally based at the ICR Integrity offices, Bridge of Don, Aberdeen but will spend periods of time at the University of Strathclyde as required.  You will work jointly with Strathclyde and ICR to apply emerging machine learning and predictive analytics techniques for corrosion monitoring which will integrate into ICR’s Asset Integrity Management (AIM) lifecycle platform for Risk Based Inspection (RBI).  You will integrate into an agile team of software engineers and corrosion specialists, taking on responsibility for driving forward the prognostic capabilities of the AIM platform.  The project will see you developing, demonstrating and evaluating algorithms for predicting the presence and extent of corrosion, based on existing client data and in conjunction with the research team at Strathclyde.  Following evaluation, you will be responsible for translating these algorithms into deployment for use in the field, integrating them into ICR’s existing asset management software.

The project is part of the Knowledge Transfer Partnership (KTP) programme that aims to help businesses to improve their competitiveness and productivity through the better use of knowledge, technology and skills that reside within the UK knowledge base. Successful Knowledge Transfer Partnership projects are funded by UK Research and Innovation through Innovate UK and are part of the government’s Industrial Strategy. To find out how KTP works and the vital role you will play if you successfully secure a KTP Associate position please visit: www.ktpws.org.uk

To be considered for the role you will be educated to a minimum of 2:1 Honours Bachelor’s degree in a relevant discipline support by significant, related industrial experience. Whilst not essential for the role it would be desirable if applicants had a PhD in Engineering, Computer Science, Applied Physics, Mathematics or a related discipline; or have significant, related industrial experience. You will have knowledge and experience in one or more of the following areas; Machine Learning and data analytics including design and implementation of decision support systems, Software design including requirements gathering, development and deployment, testing and evaluation; Condition monitoring, diagnostics and prognostics, preferably in the energy sector;  You will be competent in at least one programming or statistical analysis package (examples include: Java, Python, C++, MATLAB, R) with preferable experience of databases. In addition, an awareness of commercial drivers for this work and an understanding of the current climate in the UK and international oil and gas sector would be of significant benefit.

In addition to the KTP core development training, you will have a dedicated training budget of £4,000 to further support your career development.

For informal enquiries, please contact Dr Graeme West, Senior Lecturer graeme.west@strath.ac.uk / 0141 548 3542

Initial interviews have been scheduled for 30 September 2019 and will take place at ICR offices in Aberdeen.

Previous applicants need not apply. 

Click here for full details
Faculty
Faculty of Engineering
Department/School
Electronic and Electrical Engineering
Staff Category
Research
Type of Employment
Fixed-term
Working Hours
Full-time
Vacancy Description
 
Salary range:  £34,500 - £40,000
FTE:  1
Term:  Fixed (2 years)
Closing Date: 22 September 2019

The Department of Electronic and Electrical Engineering, Institute for Energy and Environment in partnership with ICR Integrity (https://icr-world.com) are seeking to appoint a Knowledge Transfer Partnership (KTP) Associate in the area of Asset Integrity Management, with a focus on developing and deploying predictive analytics capability for pipework corrosion using machine learning techniques.

ICR is a global maintenance and integrity company offering a range of solutions in pipeline and structural maintenance, integrity, corrosion and repair across the oil and gas sector.  As a KTP Associate you will be principally based at the ICR Integrity offices, Bridge of Don, Aberdeen but will spend periods of time at the University of Strathclyde as required.  You will work jointly with Strathclyde and ICR to apply emerging machine learning and predictive analytics techniques for corrosion monitoring which will integrate into ICR’s Asset Integrity Management (AIM) lifecycle platform for Risk Based Inspection (RBI).  You will integrate into an agile team of software engineers and corrosion specialists, taking on responsibility for driving forward the prognostic capabilities of the AIM platform.  The project will see you developing, demonstrating and evaluating algorithms for predicting the presence and extent of corrosion, based on existing client data and in conjunction with the research team at Strathclyde.  Following evaluation, you will be responsible for translating these algorithms into deployment for use in the field, integrating them into ICR’s existing asset management software.

The project is part of the Knowledge Transfer Partnership (KTP) programme that aims to help businesses to improve their competitiveness and productivity through the better use of knowledge, technology and skills that reside within the UK knowledge base. Successful Knowledge Transfer Partnership projects are funded by UK Research and Innovation through Innovate UK and are part of the government’s Industrial Strategy. To find out how KTP works and the vital role you will play if you successfully secure a KTP Associate position please visit: www.ktpws.org.uk

To be considered for the role you will be educated to a minimum of 2:1 Honours Bachelor’s degree in a relevant discipline support by significant, related industrial experience. Whilst not essential for the role it would be desirable if applicants had a PhD in Engineering, Computer Science, Applied Physics, Mathematics or a related discipline; or have significant, related industrial experience. You will have knowledge and experience in one or more of the following areas; Machine Learning and data analytics including design and implementation of decision support systems, Software design including requirements gathering, development and deployment, testing and evaluation; Condition monitoring, diagnostics and prognostics, preferably in the energy sector;  You will be competent in at least one programming or statistical analysis package (examples include: Java, Python, C++, MATLAB, R) with preferable experience of databases. In addition, an awareness of commercial drivers for this work and an understanding of the current climate in the UK and international oil and gas sector would be of significant benefit.

In addition to the KTP core development training, you will have a dedicated training budget of £4,000 to further support your career development.

For informal enquiries, please contact Dr Graeme West, Senior Lecturer graeme.west@strath.ac.uk / 0141 548 3542

Initial interviews have been scheduled for 30 September 2019 and will take place at ICR offices in Aberdeen.

Previous applicants need not apply. 

Click here for full details