Senior Systems Engineer – RRM & Network Optimisation Algorithms

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Role : A vacancy has arisen to work on Radio Resource Management (RRM) & Optimisation (e.g. SON, O-RAN RIC) algorithm design and performance evaluation for NEC’s current and future O-RAN RAN 5G products by exploring existing and new techniques in telecoms, computing, mathematics and related sciences (e.g. AI/ML). Main Duties: The main duties will be: Contribute to the creation and evaluation of NEC’s RRM & Network Optimisation technology by: Providing initiative in proposing new relevant areas of investigation that would add-value to the current and future products Contributing to the algorithm design and performance evaluation of new RRM & Network Optimisation features Design and implementing simulations in C++, MATLAB and Python Running simulations and analysing results i.e. extract useful information from raw data, spot anomalies and construct testable hypotheses to explain them. Producing technical reports on RRM & Network Optimisation algorithms and system performance relating to future 3GPP features and any related architecture changes Providing input to RRM & Network Optimisation feature systems analysis and design Knowledge and Experience: The successful candidate must have: Experience of simulation & prototyping techniques in communications networks Knowledge of AI/ML principles and key techniques (e.g. deep learning, reinforcement learning, etc.) Experience in RRM and/or network optimisation (SON) algorithm design (e.g. handover, admission control, power control, Load Balancing, Handover Optimisation, etc.) Ability to undertake system level simulation of a mobile radio network e.g.: knowledge of methods to model radio propagation, packet data traffic patterns, layer 1 and layer 2 network behaviour) and ability to judge an appropriate level of detail to which the system needs to be modelled to answer the question at hand. C++, Matlab, Python programming skills. Analytical and mathematical skills (e.g. matrix algebra, simple calculus), and in particular probability and statistics The following experience is desirable: Experience of using AI/ML tools (e.g. TensorFlow) Familiarity with virtualisation techniques for real-time systems Practical experience of virtualisation tools (e.g. Docker/Kubernetes) Link level simulation experience Knowledge of 3GPP RAN architecture, protocols and functionality of 3GPP mobile communications systems Familiarity with Call Processing and Real Time concepts Capabilities: The ideal candidates will be a motivated, collaborative team player, able to work pro-actively and with integrity and ability to maintain consistency under pressure. You will need an ability to abstract ideas and innovate solutions to complex problems as well as effective oral and written communication skills in English. It will be necessary to build relationships with NEC’s technical teams around the world and work well with the local NEC Telecom MODUS team. Work is done within an ISO 9001 QA system where we continually look for ways to improve quality and efficiency. Qualifications: Minimum of an Honours degree in Communications, Electronics, Physics, Computing or Maths. Ideally a completed PhD involving research into mobile networks

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