CERES is still recruiting for one PhD position. We are looking for a candidate to join our research team and work on projects in the next three years. Studentship is jointly funded by CERES and City, University of London.
PhD Position on “Artificial Intelligence tools for accelerated performance predictions and design in compressor systems”
The multidisciplinary PhD project, entitled “Artificial Intelligence tools for accelerated performance predictions and design in compressor systems”, is focused on creating a smart tool that yields new blade profiles with specified performance metrics and operating and manufacturing constraints. The key outcomes of the proposed project are an alternative AI-based analysis tool for performance analysis of compressor systems and a first-of-its-kind smart generative tool for novel rotor designs using AI.
The PhD student will work closely with the world leading experts in applied machine learning, artificial intelligence and modelling of rotating machinery under the Chair. The overall objective is to realise a smart tool that yields new blade profiles with specified performance metrics and operating and manufacturing constraints and validate these methods with the experimental results obtained in the state-of-the-art laboratory within the Centre for Compressor Technology and the Thermo-Fluids Research Centre.
It is expected that the candidate has a good mathematical background, experience in artificial intelligence, knowledge of thermodynamics and fluid mechanics, has good skills in using programming languages such as Python or similar. A Master’s degree in mechanical engineering or related discipline with prior experience in using machine learning tools such as Tensorflow/Keras is advantageous. The candidate is expected to have a positive attitude to teamwork, ability to work proactively and independently and has motivation to learn and contribute to this multidisciplinary project.
Further information about PhD Position here.
SALARY: £17.5K per year, 3 years plus travel budget
For further information about the post please contact ivona.ivkovic-kihic@city.ac.uk
Applications, consisting of a CV and a Personal Statement, should be submitted via email ivona.ivkovic-kihic@city.ac.uk
Closing date for applications: 17:00 on 25th August 2022
The role is available from October 2022
