An exciting Postdoctoral Research Associate position is available in School of Electrical and Electronic Engineering. The main objective of the research project is to develop robust data-driven methods (signal processing and machine learning) and tools for wind turbine bearing condition assessment.
You will hold, or be about to obtain, a PhD in the area of data driven applications, machine learning and signal processing. You should have strong track record in leading publications in the relevant area and excellent programming skills. Excellent written and oral communication skills are also essential. You should be able to conduct data collection in the lab. Previous experience in the data driven methods for condition monitoring and fault diagnosis is desirable.
The School is committed to promoting equality and diversity, including the Athena SWAN charter for promoting women’s careers in STEMM subjects (science, technology, engineering, mathematics and medicine) in higher education. The School holds a Bronze Award for their commitment to the representation of women in the workplace and we particularly welcome applications from women for this post. Appointment will always be made on merit. For further information, please visit:
Please note that we are unable to respond to enquiries, accept CVs or applications from Recruitment Agencies
Enquiries about vacancy shortlisting and interviews:
Name: Long Zhang
Tel: 0161 275 4499
Tel: 0161 850 2004
This vacancy will close for applications at midnight on the closing date