Research Fellow in Machine Learning - Brighton, United Kingdom - University of Sussex
Description
We are looking for a post-doctoral research fellow with a strong machine learning background to work with Profs Luc Berthouze and George Parisis on one of 77 adventurous new projects recently funded by the EPSRC under the New Horizons initiative to explore high-risk speculative research ideas across Engineering and ICT.
Our project aims to transform
the way ICT networks are being conceptualised for management, by developing a data-driven (e.g., temporal network based) characterisation of emerging dependencies between ICT components and allowing to characterise and act upon the functional impact of complex and changing interactions across layers and processes.
The primary aim will be to develop and implement methods for inferring time-varying latent inter-dependencies based on events emitted, processed and stored in modern network and service deployments.
A secondary aim is to disambiguate hypothetical causal structures from the above statistical dependencies, with the view to provide interpretable and actionable insights.
- The University of Sussex values the diversity of its staff and students and we welcome applicants from all backgrounds._
- You can find out more about our values and our EDI Strategy, _Inclusive Sussex_, on our webpages._
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