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Research Fellow - Mathematics Engineering & Applied Science

Aston University - Engineering & Applied Science

Location: Birmingham
Salary: £33,797 to £40,322 per annum Grade 8
Hours: Full Time
Contract Type: Fixed-Term/Contract
Placed On: 9th September 2019
Closes: 13th October 2019
Job Ref: R190398

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

Informal inquiries should be directed to Professor David Saad.

Aston University is committed to the principles of the Athena SWAN Charter, recognised by a silver award. We pride ourselves on our vibrant, friendly, supportive working environment and collaborative atmosphere.

Please visit our website for further information and to apply online. 

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