Research Assistant in Industrial Machine Learning

A position exists for a Research Assistant /Research Associate in the Distributed Information and Automation Laboratory (DIAL) to work on two projects: Airline Performance and Disruption Management Across Extended Networks (APEMEN) and Digital Through Life Engineering (DO-TES).

Both projects use a combination of optimisation and data analysis techniques. The focus of APEMEN is to develop methods for modelling and optimising the response of airline schedules for disruptions/delays. The focus of DO-TES is to develop solution approaches for spare part procurement using a combination of modelling, optimisation and data-driven techniques. For both projects the post-holder will help develop prototype software systems which can demonstrate the ability to automatically negotiate, optimise and test robust scheduling solutions.

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

Appointment at Research Associate level is dependent on having a PhD (or equivalent experience). 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.

Please ensure that you upload your Curriculum Vitae (CV) and a covering letter and 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. Please submit your application by midnight on the closing date.

If you have any questions about this vacancy or the application process, please contact: Miss Rebecca Fowler, dial-admin@eng.cam.ac.uk. (Tel +44 01223 764306)