|Salary:||£33,797 to £40,322 per annum Grade 8|
|Placed On:||9th September 2019|
|Closes:||13th October 2019|
Contract Type: Fixed Term (3 years)
Closing Date: 23.59 hours BST on Sunday 13 October 2019
Interview Date: To be confirmed
We are looking for a highly motivated individual for this postdoctoral research position in the general areas of statistical physics, machine learning and Bayesian inference, and their application to optical communication networks. The emphasis of this research will be on developing and employing theoretical and numerical methods from Bayesian statistics, machine learning and statistical physics to optimise routing and containment strategies on optical networks as well as the inference and optimisation of operational parameters in single channels.
You should have excellent mathematical and computational skills and have a background in statistical physics, Bayesian inference and machine learning. knowledge of optics/laser-based systems is an advantage. While the main thrust of the work will be carried out within the Nonlinearity and Complexity Research Group and with Professor Saad, the position is part of the multi-institutional EPSRC-funded programme grant TRANSNET; hence, a significant level of collaboration with the Aston Institute of Photonics Technologies, University College London and Cambridge University is expected.
Further details on the collaborative TRANSNET research project can be found on http://gow.epsrc.ac.uk/NGBOViewGrant.aspx?GrantRef=EP/R035342/1.
Informal inquiries should be directed to Professor David Saad. D.Saad@aston.ac.uk
Aston University is committed to the principles of the Athena SWAN Charter http://www.ecu.ac.uk/equality-charter-marks/athena-swan/, recognised by a silver award. We pride ourselves on our vibrant, friendly, supportive working environment and collaborative atmosphere.
Please visit our website http://www.aston.ac.uk/jobs for further information and to apply online.
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