Research Assistant in Prognostics and Predictive Maintenance

Applications are invited for a postdoctoral fellowship position in artificial intelligence to join University of Cambridge. This position is available for 24 months. The deadline for applying is October 15, 2018.

A position exists, for Research Assistant/Associate in the Department of Engineering, to work on failure prognostics and predictive maintenance for complex engineering systems.

The researcher will be involved in developing novel techniques, algorithms and tools aiming at improving through-life performance and reliability of complex engineering systems such as aerospace engines and gas turbines by better use of emerging cloud data management techniques and sensing technologies.

The researcher will work in the Distributed Information and Automation Laboratory (DIAL) at the Institute for Manufacturing. One of the key areas of focus for the project is the development of prognostics and failure prediction techniques for aircraft engine / gas turbine components and sub-systems. The researcher is expected to analyse vast quantities of sensor data, explore methods to effectively manage the data on the cloud, and use the latest machine learning and artificial intelligence approaches for predicting failures. Moreover, the research will involve exploiting these predictions to determine suitable maintenance actions and timings that are optimal at the system and fleet levels.

In addition, the researcher will contribute to other research activities within DIAL.

Applicants must have (or be close to obtaining) a PhD in Engineering, Computer Science, or relevant discipline. The researchers’ expertise will include data analysis, machine learning, reliability engineering, predictive maintenance, and optimisation. Appreciation and knowledge in data management and experience of the aerospace sector is desirable. Experience in working with industrial partners on research projects is necessary.

The post holder will be located in West Cambridge, Cambridgeshire, UK.

Appointment at Research Associate level is dependent on having a PhD. Those who have submitted but not yet received their PhD will be appointed at Research Assistant level, which will be amended to Research Associate once the PhD has been awarded.

Fixed-term: The funds for this post are available for 24 months in the first instance.

Once an offer of employment has been accepted, the successful candidate will be required to undergo a health assessment.

Upload your CV, covering letter, two relevant publications in the Upload section of the online application. If you upload any additional documents which have not been requested, we will not be able to consider these as part of your application. Submit your application by midnight on the closing date.

For questions about this vacancy or the application process, contact Rebecca Fowler ( To discuss the role, contact Dr Ajith Parlikad (


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