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Research Fellow

Business & Law

Location:  Highfield Campus
Salary:   £28,982 to £35,609 per annum
Full Time Fixed Term (15 months)
Closing Date:  Sunday 21 August 2016
Interview Date:   Tuesday 30 August 2016
Reference:  748816F1

Research Fellow in Optimisation

University of Southampton - Southampton Business School

Centre of Excellence for Decision Analytics & Risk Research (CEDARR) at the University of Southampton offers an exciting opportunity to work on a research project collaborated with one of world largest Telecom companies. The position offer an exciting opportunity for conducting internationally leading and impactful research, which aims to solve real-world challenge on optimisation the quality-of-service fault tolerant algorithms for future software-defined networks. You will work on optimising the resilience of future software defined network.  The work will involve building probabilistic optimisation models (e.g. probabilistic constraint satisfaction) for quality of service related probabilistic  fault-tolerant algorithms, finding optimal performance between parameters of the designed algorithms (e.g. adopt Mixed Integer Programming, Cplex etc.), design and implement heuristic methods for finding approximate solutions (e.g. genetic algorithms),  test such scalable fault tolerant algorithms and their optimisations within SDN testbed environments.  You will be employed by the University of Southampton on a 15 months fixed term contract, but with possible extension with future projects with the industry partner.  You will receive training within Centre of Excellence for Decision Analytics & Risk Research, and have opportunities to visit the global headquarter of the industry partner to represent your research output. 

Project background: Software-Defined Networking (SDN) and Network Function Virtualisation (NFV) are emerging architectures purporting to be dynamic and adaptable to be suitable for future data-driven virtualised networks (e.g. content distribution networks). Similar to the concept of Cloud computing, SDN architectures decouple network control and forwarding functions, enabling network control to become directly programmable and the underlying infrastructure to be abstracted from applications and network services. Network dependability is one of the most important and challenging aspects of SDN to ensure a qualified network service delivery and availability. Nowadays, many commercial venders’ aims to provide 99.999+% service availability yet still ensure the flexible SDN service adaptation and low operational management costs. Therefore, effective fault-tolerance designs and optimisation become absolutely essential for SDN.

This project will require a complex set of skills to be integrated in order to achieve the final product outcome.  The Associate will be required to access different skills sets and knowledge within the University of Southampton in order to develop elements of the project such that market launch can be achieved. In this respect it is anticipated that the team will need to utilize leading expertise from the Centre of Excellence for Decision Analytics & Risk Research (CEDARR).

You should also have applied probability and quantitative experience, including a proven publication track record, in one or more of the following areas: probabilistic optimisation, telecom network systems, quality of service optimisation, mixed integer programming, stochastic programming, simulation. You should have a PhD (or equivalent experience and/or qualifications) in operations research, applied mathematics computer science, electronic engineering, or a related area. Candidates close to completion of their PhD will also be considered.

You must have excellent communication skills and be able to organise your own work and prioritise work to meet conference and project deadlines. All applicants must be fluent in spoken and written English. You will be part of the Centre of Excellence for Decision Analytics & Risk Research (CEDARR). Evidence of satisfactory knowledge in computer programming/simulation (especially Cplex or C/C++), software define network (e.g. openflow, virtualised network and quality of services optimisation would be an advantage. Previous experience of telecom, network and reliability industry, through direct former employment or student placement or previous post-Doctoral position, would be helpful. Ideally the Associate would have some knowledge of simulation, network level programming, software define networks or quantitative quality of service evaluation would be advantageous. Prospective research associate will be a logical thinker, a good communicator with the ability to understand and solve complex problems and to work to deadlines and high quality standards. Other skills required include: ability to write academic reports, good presentational skills, and good time management.

Applications will be considered from candidates who are working towards or nearing completion of a relevant PhD qualification.  The title of Research Fellow will be applied upon completion of PhD.  Prior to the qualification being awarded the title of Senior Research Assistant will be given.

For more information please contact the academic supervisor for this project, Dr. Tiejun Ma tiejun.ma@soton.ac.uk or Prof. Tolga Betkas T.Bektas@soton.ac.uk

Application procedure:

You should submit your completed online application form at www.jobs.soton.ac.uk. The application deadline will be midnight on the closing date stated above. If you need any assistance, please call Geraldine Lewis (Recruitment Team) on +44 (0) 23 8059 2507. Please quote reference 748816F1 on all correspondence.

The closing date for this job opportunity has now passed, and applications are no longer being accepted for this position

Further details:

We aim to be an equal opportunities employer and welcome applications from all sections of the community. Please note that applications from agencies will not be accepted unless indicated in the job advert.


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