Research Associate in Scalable Dynamic and Distributed Inference

A research associate position for 30 months is available on the University Defence Research Collaboration (UDRC) phase 3 project jointly funded by EPSRC and UK Ministry of Defence. This research associate position will contribute to the UDRC3 under Work Package 2.1, and will work within the Institute for Digital Communications at the University of Edinburgh.

This Research Associate position provides a unique opportunity to develop novel message passing algorithms for inference in distributed and modular sensor networks. The project is hosted by the Institute for Digital Communications (IDCOM) in the School of Engineering at the University of Edinburgh.

Bayesian hierarchical graphical models provide a powerful framework for representing structure in distributions over many heterogeneous variables. Scalable solutions focus on approximate inference, utilising:

  • bespoke approximations
  • Gaussian-mixture Belief Propagation (BP)
  • particle BP
  • kernel BP
  • expectation particle BP
  • approximate message passing algorithms

This research will investigate:

  1. trade-offs between accuracy, complexity, convergence, and communication-bandwidth for resource-constrained scenarios and high-volumes of data
  2. improving efficiency in settings with mixed-integer/non-Gaussian continuous variables

This post is full time and fixed term for 30 months.

Salary: £33,199 - £39,609 per annum.

Closing Date: Thursday 18th October 2018 at 5pm (GMT).

UoE Vacancy Ref: 

044881

Closing Date: 

Thursday, October 18, 2018

Contact Name: 

Contact Email: 

Contact Telephone: 

+44 (0) 131 650 5706