Enable job alerts via email!

Research Associate in Modelling of Transformer Ageing

Economicsnetwork

Manchester

On-site

GBP 36,000 - 46,000

Full time

5 days ago
Be an early applicant

Boost your interview chances

Create a job specific, tailored resume for higher success rate.

Job summary

A leading university is seeking two post-doctoral research associates to join a project focused on transformer end-of-life prediction. The positions require expertise in modeling and data analysis to support innovative research at the new engineering campus in Manchester, with potential travel for collaborative discussions.

Benefits

Fantastic market leading Pension scheme
Excellent employee health and wellbeing services
Exceptional starting annual leave entitlement
Additional paid closure over the Christmas period
Local and national discounts at retailers

Qualifications

  • Experience in modeling and simulation.
  • Knowledge in transformer insulation aging.
  • Strong analytical skills.

Responsibilities

  • Work on transformer end-of-life prediction models.
  • Perform data analysis to support research.
  • Collaborate with University and project partners.

Skills

Modelling
Data analysis

Education

PhD in relevant field

Job description

Job reference:SAE-028232
Salary:£36,924-£45,163 per annum depending on relevant experience
Faculty/Organisational Unit:Science and Engineering
Location:Oxford Road
Employment type:Fixed Term
Division/Team:Department of Electrical and Electronic Engineering
Hours Per Week:Full Time (1 FTE)
Closing date (DD/MM/YYYY):02/07/2025
Contract Duration:15 Months
School/Directorate:School of Engineering

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 the Modelling and simulation of ageing of transformer insulation and the partitioning of chemical markers. 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.

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 morehere

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 toPeople.Recruitment@manchester.ac.uk.

Any CV’s submitted by a recruitment agency will be considered a gift.

Enquiries about the vacancy, shortlisting and interviews:

Name: Prof. Zhongdong Wang

Email:zhongdong.wang@manchester.ac.uk

General enquiries:

Email:People.recruitment@manchester.ac.uk

Technical support:

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

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

£36,924 to £45,163 per annum depending on relevant experience

Get your free, confidential resume review.
or drag and drop a PDF, DOC, DOCX, ODT, or PAGES file up to 5MB.