Research Associate in Transformer Data Analytics

We are currently seeking two post-doctoral research associates to work collaboratively on a project relating to transformer end-of-life prediction based on different approaches including modelling, and data analysis techniques. Due to the different research skills and knowledge required, there are two separate adverts for these different roles. This project is funded by NGET under the Network Innovation Allowance (NIA) funding mechanism and is called “DATAMINER”. The project is led by Prof. Zhongdong Wang (Principal Investigator) with support from Prof. Qiang Liu, Prof. Paul Jarman and Dr. Shanika Matharage (Co-Investigators). This advert is for the position focused on transformer data analytics. The research will be performed at the new UoM Engineering Campus Development on Oxford Road in Manchester, however some travel to the project partners National Grid Electricity Transmission (NGET) to discuss the work and present findings will also be expected.

It is a common practice to use chemical markers to predict the ageing state of transformer insulation. However, the ageing of the paper insulation is a complex phenomenon which depends on various factors such as design, loading and other ageing by-products in the insulation. Furthermore, the chemical markers generated from paper insulation further undergoes a complex partitioning process with different time constants affecting the concentration in the oil. This project will utilise the oil test data available from the in-service transformers and additional post-mortem data to identify the factors affecting the generation and the partitioning of chemical markers to develop life estimation algorithms.

What you will get in return:

• Fantastic market leading Pension scheme
• Excellent employee health and wellbeing services including an Employee Assistance Programme
• Exceptional starting annual leave entitlement, plus bank holidays
• Additional paid closure over the Christmas period
• Local and national discounts at a range of major retailers

As an equal opportunities employer we welcome applicants from all sections of the community regardless of age, sex, gender (or gender identity), ethnicity, disability, sexual orientation and transgender status. All appointments are made on merit.

Our University is positive about flexible working – you can find out more here

Hybrid working arrangements may be considered.

Please note that we are unable to respond to enquiries, accept CVs or applications from Recruitment Agencies.

Any recruitment enquiries from recruitment agencies should be directed to People.Recruitment@manchester.ac.uk.

Any CVs submitted by a recruitment agency will be considered a gift.

Enquiries about the vacancy, shortlisting and interviews:

Name: Qiang Liu

Email: qiang.liu@manchester.ac.uk

General enquiries:

Email: People.recruitment@manchester.ac.uk

Technical support: jobseekersupport.jobtrain.co.uk/support/home

This vacancy will close for applications at midnight on the closing date.

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