Application are invited by Aston Institute of Photonic Technologies (AiPT) for two prestigious three-years postgraduate positions as Early Stage Researcher (ESR) within the European Industrial Doctorate project REAL-NET. The project is supported through the Horizon 2020 Marie Skłodowska-Curie actions (MSCA).
ESR1: Novel digital signal processing techniques for nonlinear fibre systems
ESR2: Machine-learning techniques for nonlinearity mitigation
REAL-time monitoring and mitigation of nonlinear effects in optical NETworks (REAL-NET) is a European Industrial doctorate (EID) project.
Within the exponential surge in the global data traffic, the training of a new generation of engineers with expertise in optical communications, nonlinear science methods, digital signal processing (DSP), and design of implementable algorithms is of high importance. The multi-national & multi-interdisciplinary REAL-NET project provides timely doctoral training for PhD students through industry, over relevant research in the fast-growing area of high practical relevance.
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The successful candidates will be employed on a full-time basis with a competitive salary in accordance with the MSCA regulations. The successful candidate will receive a financial package consisting of MSCA living allowance and mobility allowance, together £38,850 pa. Eligible candidates will also receive an additional family allowance according to the MSCA rules.
This position includes a fee bursary to cover the home/EU fees. Applicant from outside the EU will need to pay the difference between the “Home/EU” and the “Overseas” tuition fees, currently being £12,290 pa in 2018/2019.
REAL-NET aims to bring this exciting new approach into commercial application with the help of its world leading industrial partners, Infinera and Orange, where successful applicants will spend 18 months of their appointment. REAL-NET researchers will benefit from further continuing education including training activities and active participation in external scientific training events, conferences and workshops.
REAL-Net is looking for candidates with exceptional skills in machine-learning, signal processing, optical communication or applied mathematics. Knowledge of scientific programming and computing, physical optics, communications. Knowledge in differential equations, mathematical physics, numerical analysis, information or communication theory is essential.
At minimum, the successful applicants should have an outstanding BSc (first class or upper second-class honours degree) or equivalent in engineering or physics. The successful applicants are expected to register for a PhD at Aston University and therefore will have to comply with minimum PhD Entry Requirements to be found here.
Applicants must be in the first four years (full-time equivalent research experience) of their research careers, and not have been awarded a doctoral degree.
Applicants may not have resided or carried out their main activity (work, studies, etc.) in the UK for more than 12 months in the 3 years immediately before the recruitment date.
For informal enquiries please contact Martina Pasini by email: [email protected]