Research Assistant/Associate in Industrial Machine Learning (Fixed Term) University of Cambridge, Department of Engineering United Kingdom

Research Assistant/Associate in Industrial Machine Learning (Fixed Term)


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 skills, qualifications and experience required to perform the role are a PhD (or close to obtaining a PhD) in Engineering, Maths, Computer Science or related scientific discipline, and research experience in all or some of the following areas:

 

Simulation, optimisation and modelling approaches, for example with agent-based systems
Data science and analytics
Writing software programs and developing prototype systems for demonstration and experimental learning.

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.

 

Salary Ranges: Research Assistant: £26,243 - £30,395 Research Associate: £32,236 - £39,609

 

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.

 

To apply online for this vacancy, please click on the 'Apply' button below. This will route you to the University's Web Recruitment System, where you will need to register an account (if you have not already) and log in before completing the online application form.

 

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)

 

Please quote reference NM17719 on your application and in any correspondence about this vacancy.

 

The University values diversity and is committed to equality of opportunity.

 

The University has a responsibility to ensure that all employees are eligible to live and work in the UK.


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