Research Assistant in Using Machine Learning to

1 week ago


Cambridge, Cambridgeshire, United Kingdom University of Cambridge Full time

For this to happen, your job would be to integrate two key technologies and implement them to the electric ducted fan design.

First, there are many Machine Learning algorithms available and there are several cases of successful adoption of these into aerospace engineering.

However, they normally require a large quantity of data, but the number of experimental cases usually available is limited to single digits or maximum of 10.

This is why the second technology developed at the Whittle Laboratory is a capability for rapid testing of fans and compressors.

Currently, it allows us to print one blade set overnight and test it in a day, therefore allowing to reach more than a hundred trial geometries tested during the project under real operating conditions.

The post holder will be located at the Whittle Laboratory, Cambridgeshire, UK.

The key responsibilities and duties are:

  • Develop ML-based tool to predict electric ducted fan performance based on its design parameters. The tool is to be trained on limited experimental data points in 3-4 iterations.
  • Postprocessing experimental data
  • Running and processing various ML algorithms
  • Comparing with CFD or other loworder design methods
  • Designing the next set of trial designs to be tested
  • Determining first order understanding of flow physics and design principles
  • Writing research publications and attending conferences
  • Writing project reports and attending meetings with project partners
The skills, qualifications and experience required to perform the role are:

  • Knowledge of turbomachinery aerodynamics
  • Experience in managing your own workload and working with initiative
  • Excellent communication skills
  • Experience of experimental testing in wind tunnels or rotating rigs
  • Experience of CFD simulations in turbomachinery
  • Experience of using machine learning tools
Fixed-term: The funds for this post are available until 31 March 2025 in the first instance.

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

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