We invite applications for a Senior Post-Doctoral Research Associate position to join the Next Generation Converged Digital infrastructure (NG-CDI) programme (NG-CDI) at Lancaster University. NG-CDI is an exciting, cross-disciplinary research project that will forge the foundational research needed to underpin the next generation converged digital infrastructure for the UK. This £5M programme is jointly funded by BT and the EPSRC. The consortium brings together research groups from the Universities of Lancaster, Cambridge, Bristol and Surrey to work alongside BT, one of the world’s leading communications service providers.
This post will to be to investigate decision-making frameworks alongside anomaly and change-detection on network data. There is scope to significantly shape the project to your interests; the kind of topics we are interested in include deciding when to flag a putative anomaly to a human engineer for investigation/labelling, recommending which intervention to action given current features of the network, and using feedback from the decision-making process to tune anomaly detection algorithms. In this sense, we are working to bring recommender systems and/or bandit techniques to bear on large scale network data.
You should have, or be close to completing, a PhD in Statistics, Machine Learning, Operations Research or a related discipline. You will be experienced in one of more of the following areas: computational statistics; recommender systems; sequential decision-making. A demonstrable ability to produce academic writing of the highest publishable quality is essential.
We welcome applications from people in all diversity groups.
Full details: Job Opportunity at Lancaster University: Senior Research Associate – Next-Generation Converged Digital Infrastructure
Closing date for applications: 5 April 2021
Start date for post: As soon as you like!
Length of post: You will join us on an indefinite contract, but the role remains contingent on external funding which, at this time, is due to come to an end on 31 October 2022
Candidates who are considering making an application are strongly encouraged to contact Professor David Leslie (Esta dirección de correo electrónico está siendo protegida contra los robots de spam. Necesita tener JavaScript habilitado para poder verlo.) to discuss the programme in greater detail.
--David Leslie (he/him/his), Professor of Statistical Learning.Head of Statistics, Lancaster University
