- Developing tools for optimising cubesat configurations using PolyChord algorithm as a global optimiser underarbitrary nonlinear constraints
- Exploring the application of Bayesian parameter estimation, model comparison and tension quantification in GNSS-R problems
- Applying the cutting edge of Likelihood-free inference techniques for simulation-based predictions
- Exploring the use of machine learning emulators for enhancing the above processes in speed and accuracy
- MSc degree in Physics, Engineering, Mathematics, Computer science or related fields.
- Solid mathematical background, outstanding academic records, and excellent communication skills in oral and written English.
- Strong Python programming & computing skills
- Experience with Bayesian analysis, machine learning & high performance computing is desirable but not essential.
- Your CV (1 to 2 pages in pdf format)
- A list of grades/diplomas, certificates
- A list of referees (three at least)
- A motivation letter
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PhD Studentship in the framework of the MSCA Doctoral Network GLITTER: Advanced Bayesian analysis and optimisation - Cambridge, United Kingdom - University of Cambridge
Description
Fixed-term: The funds for this post are available for 36 months in the first instance.
Summary: Full-time PhD position funded by UKRI, in the context of the ERC doctoral network GLITTER (12 PhD students), to perform doctoral research in the development of modern antenna technology and radio instrumentation for GNSS-R and Radio Astronomy from space. The PhD candidate will join a multidisciplinaryteam and will be supervised by Dr Will Handley alongside data scientists at PolyChord Ltd (a spin-out company from the University of Cambridge) and researchers from Dr Will Handley's group based in the Kavli Institute for Cosmology, University of Cambridge. The PhD candidate will benefit from the GLITTER events in order to further improve technical and complementary skills: four one-week training schools, and three workshops. In addition, the PhD candidate will interact with CSIC and SYNTONY through 3 month secondments working with Dr Cardellach and Dr Carrie. `
Projects will include:
PolyChord Ltd is a spin-out company (SME) from the University of Cambridge, transferring technology from academia to industry, with current applications including rail monitoring, sensor placement optimisation, protein folding, and battery design. It has a long-term interest in the application of it's know-how and IP to the spacesector, and the PhD candidate will be a key part of this process.
Requirements for the candidate:
Application Process: The application process will be open until noon on 18th May. The applications received after this date will not be evaluated.
The four documents should be preferably assembled in a *.zip file with a file name that starts with DC12.
The University actively supports equality, diversity and inclusion and encourages applications from all sections of society.
The University has a responsibility to ensure that all employees are eligible to live and work in the UK.
