A position exists for a Marie Curie Early Stage Researcher in the Department of Engineering, Cambridge University, to work on data-driven machine learning with Gaussian Processes to eliminate thermoacoustic instability. The post holder will be working within the research group of Professor Carl Rasmussen.
The aim of this project is to combine experiments and machine learning so that a computer can build up a data-driven model of a system and use it to design out thermoacoustic oscillations.
The key responsibilities are to: work towards the project's objectives; present and publish research; manage own research and administrative activities; communicate technical material; liaise with colleagues; attend group meetings and training schools in Europe and attend secondments to partners.
Requirements: clear written and spoken English; background in Acoustics, Fluid Mechanics, or Machine Learning; experience in numerical methods and programming; experience with experimental methods is desirable but not essential.
Candidates can be of any nationality. The candidate must not have resided or carried out their main activity (work, studies) in the UK for more than 12 months in the 3 years immediately prior to the recruitment date. Candidates must be in their first 4 years of their research career and have not yet been awarded a doctoral degree. The 4 years are counted from the date a degree was obtained which formally entitles to embark on a doctorate. Please refer to the HR7/Further Information for more details. Applications from female candidates are strongly encouraged.
Applicants must have an undergraduate degree or Masters degree in Engineering, Physics, Mathematics or related area.
The successful candidate will be expected to register for a PhD at the University of Cambridge.
Salary: €44895.96 + Allowances (GBP converted equivalent).
Fixed-term: The funds for this post are available for 36 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.
Following submission of your online application, please email your Curriculum Vitae (CV) and a covering letter to Mrs Kate Graham, email: firstname.lastname@example.org. Any un-requested additional documents will not be considered. Please submit your application by midnight on the closing date.
For specific questions about the role, please contact Professor Carl Rasmussen, email email@example.com or Professor Matthew Juniper, email: firstname.lastname@example.org. If you have any questions about the application process, please contact Mrs Kate Graham, email: email@example.com, Tel: +44 01223 766805.
Please quote reference NM13140 on your application and in any correspondence about this vacancy.
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