Research Associate

University of Portsmouth - Faculty of Technology

Interview date: 12 October 2017

Working autonomously with instruction from the lead researcher, the objective of this project is to explore and develop deep-learning networks for super-resolution imaging. The successful candidate should possess skills in Convolutional and Recursive Networks with excellent programming skills. Familiarity with TensorFlow or Theano is expected. The Networks’ training may require the use of the Faculty’s supercomputer facility and therefore some prior experience with using multi-core computing resources is desirable.

Applications are particularly encouraged from traditionally under represented groups in science and technology. The University of Portsmouth hold Athena SWAN bronze awards as such we are committed to introduce organisational and cultural practices that promote gender equality in science and technology and create a better working environment for men and women.

For an informal discussion about this post, please contact Djamel Ait-Boudaoud, Dean Faculty of Technology via email to Djamel.Ait-boudaoud@port.ac.uk

For detailed information about the vacancy, please select this link: ZZ602429 - Research Associate.docx

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South East England