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Postdoctoral Research Associate in Statistics and Machine Learning

The University of Edinburgh - College of Science and Engineering / School of Mathematics

Location: Edinburgh
Salary: £37,099 to £44,263 (A revised salary range for this grade of £39,347 to £46,974 is planned to take effect from Spring 2024)
Hours: Full Time
Contract Type: Fixed-Term/Contract
Placed On: 27th February 2024
Closes: 25th March 2024
Job Ref: 9842

Contract type: Full Time (35 hours per week)

Fixed term: 2 years (starting 1st September 2024)

We are looking for a Postdoctoral Research Associate in Statistics and Machine Learning.

This post is advertised as full-time (35 hours per week); however, we are open to considering part-time or flexible working patterns.  We are also open to considering requests for hybrid working (on a non-contractual basis) that combines a mix of remote and regular on-campus working.  

The Opportunity:

The NeST programme grant is a mathematical collaboration on dynamic networks, a six-year, multi-million pound initiative across several UK institutions. This postdoctoral position is one of several attached to the "Dynamic network embedding" stream, which is principally between Imperial and Edinburgh. The role-holder will develop statistical theory and methodology relating to embedding dynamic networks, i.e., finding vector representations of the nodes, or nodes over time, and utilising these representations for various statistical tasks (e.g., clustering).

Your skills and attributes for success:

  • Advanced mathematical skills
  • Programming experience
  • Publications in top-tier journals or ML conferences

Applicants should upload a CV and a brief research statement (max two pages) when applying for the post online. In addition, they should arrange for at least two letters of reference to be sent direct to references@maths.ed.ac.uk quoting the reference number. For informal enquiries please contact Prof. Patrick Rubin-Delanchy at prubind@ed.ac.uk

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