Connectionists: research fellow in machine learning: post announcement, university of lincoln uk

[Stefanos Kollias]

*Research Fellow in Machine Learning and Deep Neural Architectures for 
Signal Analysis and Prediction *

*School of Computer Science, University of Lincoln, UK*

**

*Salary: * From £32,004 per annum
This post is fixed term for 27 months
*Closing Date: * Thursday 08 June 2017
*Interview Date: * Monday 19 June 2017
*Reference: *COS417


We seek to employ a highly motivated post-doctoral researcher that will 
be working on the EU-H2020 project "CORe monitoring Techniques and 
EXperimental validation and demonstration (CORTEX)". The project will 
give the opportunity to the post holder to engage with other partners of 
the project across Europe. You should hold a PhD (or equivalent) or be 
near to completion, and should be able to demonstrate a good track 
record in at least one of the following research fields:  Machine 
Learning,Deep Learning,Signal Processing Applications,Pattern Analysis.

The contract is fixed for 27 months (September 2017 – December 2019).

This position is funded by the EU-H2020 project CORe monitoring 
Techniques and EXperimental validation and demonstration. The CORTEX 
project aims at developing core monitoring techniques that can be used 
to detect and characterize operational problems, before they have any 
inadvertent effect on plant safety and availability. The project relies 
on using the fluctuations existing in any process parameter that can be 
measured at the plants in order to monitor their state, primarily the 
neutron flux. The postholder will work on applying machine learning and 
deep learning techniques for analysing the collected signals and produce 
effective and transparent predictions.

You can apply on-line through the University of Lincoln web site.

If you would like to know more about this opportunity, please contact 
*Professor Stefanos Kollias* (Founding Professor of Machine Learning, 
skollias at lincoln.ac.uk <mailto:skollias at lincoln.ac.uk>).
-------------- next part --------------
An HTML attachment was scrubbed...
URL: <http://mailman.srv.cs.cmu.edu/pipermail/connectionists/attachments/20170512/72780340/attachment.html>