About the role
The work will include design of AI/ML algorithms, both network design and routing to maximise network throughput and the experimental implementation and testing of the systems.
For the intelligent network post, the researcher will:
Develop new AI/ML techniques for the analysis of core and data-centre network topologies Develop new AI/ML based routing algorithms to maximise network throughput and minimise delays Analyse the impact of network traffic statistics on network architectures and throughput Develop universal network tools covering core, metro and access architectures as well as data centres and within high-performance computer architectures
For the ML-based transceiver and transmission post, the researcher will participate in the design and development of intelligent, ML-based transceivers and extremely wideband optical fibre transmission, in which the researcher will:
Develop and apply ML-based methods for optical signal generation and detection, equalisation and fibre nonlinearity mitigation (, neural networks, learned digital back-propagation, deep-learned auto-encoders) and other digital signal processing techniques Design spectrally-efficient transmission systems exploiting the nm – nm wavelength band. Develop and use computer simulations of the systems, including the effects of fibre nonlinearity (, SPM, XPM and stimulated Raman scattering). Carry out high-speed optical transmission experiments using straight line and recirculating loop testbeds in various transmission scenarios and explore the use of different sources, fibres, amplifiers, and nonlinear optical devices.
2 of the posts are available from 1st January funded for 24 months in the first instance. One post is available for 36 months in the first instance. Further funding to support the posts may be available.
About you
Applicants should have a PhD (or about to submit) for Grade 7 & 8 and a good undergraduate degree in a relevant branch of science or engineering (Electronic Engineering, Information Engineering or Physics) for Grade 6B.
They should have strong knowledge of experimental research and hands on lab skills, including the use of advanced electronic and optical test instruments (, spectrum analyser, oscilloscopes, arbitrary waveform generators), with experience and track record of hands-on experimental research in optical fibre transmission, including experience with DSP, advanced optical modulation formats and BER measurements.
The successful candidate will have knowledge of noise, distortion/nonlinearity and crosstalk from electronic and optoelectronic devices, physical phenomena in optical fibre signal transmission (, chromatic dispersion and nonlinearity).
All applicants should possess strong programming skills in MATLAB and Python. Substantial experience of developing and using computer simulation tools. Experience developing programs implementing machine learning algorithms (, use of TensorFlow, PyTorch, JAX)
Those applying at Grade 8 should have significant post-doctoral experience on research (theoretical and experimental) associated with optical fibre communications.
Further Details:
To apply for the role, click the 'Apply Now' button at the bottom or top of the page Applications close on 3rd January at 23:59 A job description and person specification can be accessed at the bottom of this page Informal enquiries regarding this post can be addressed to Prof Polina Bayvel at . Please contact Rebecca Thomas at for enquiries about the application process.
What we offer
As well as the exciting opportunities this role presents, we also offer some great benefits some of which are below:
41 Days holiday (27 days annual leave 8 bank holiday and 6 closure days) Additional 5 days’ annual leave purchase scheme Defined benefit career average revalued earnings pension scheme (CARE) Cycle to work scheme and season ticket loan Immigration loan Relocation scheme for certain posts On-Site nursery On-site gym Enhanced maternity, paternity and adoption pay Employee assistance programme: Staff Support Service Discounted medical insurance
