Research Associate in AI in communication Networks, and 6G Network Design

☞ King’s College London

見る: 108

更新日: 01-06-2024

場所: London

カテゴリー: 電気通信

業界:

ジョブタイプ: Full-time, Fixed term contract

給料: £40,386 - £43,745 a year

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仕事内容

Job description
Applications are invited for three positions as Research Associate in AI for communication Networks, and 6G mobile network design, including Edge AI, distributed AI, digital twining and energy efficiency in mobile and wireless networks. The positions are full-time at King’s College London, and fixed term until 28 February 2025. The three posts are due to start shortly after.
The role will be part of a £12 million strategic investment of the UK government in project REASON. This is a joint project with academic partners, including Uni of Bristol, Strathclyde, and Southampton, and industrial partners, including Ericsson, Nokia, Samsung UK, Thales UK, and BT.
You will be a conscientious, innovative scientist who has successfully completed a PhD (or equivalent) in Telecoms, computer science and engineering including electrical/electronic engineering or similar. Experience in designing machine learning algorithms for edge-enabled wireless networks is preferred.
At King’s, you will join a research-leading and multi-disciplinary team REASON, including Dr Yansha Deng, Dr Vasilis Friderikos, Prof Toktam Mahmoodi, and Prof Osvaldo Simeone. You will be based in the Centre for Telecommunications Research (CTR) at the Department of Engineering. The successful candidate will also be expected to collaborate with the project partners and members of the research group.
These posts will be offered on a fixed term contract until 28th February 2025. . These are three full-time post - 100% full-time equivalent

Key Responsibilities
The roles will involve carrying out research in machine learning for 6G wireless networking, including edge networks, with the objective of developing task-oriented dynamic computation offloading and distributed intelligence for edge automation via simulations and prototypes. Research will need to be carried out to:
  • Design communication-efficient distributed learning algorithms for 6G wireless edge networks
  • Design task-oriented communications for 6G wireless edge networks
  • Design and prototype Open Edge Computing Platform
The successful candidate will have a strong interest in at least one of these, and a keen interest in the other. The successful candidate will be able to develop skills in the exciting and emerging field of machine learning for future wireless edge networks.
The role may involve irregular hours, with intense periods of activity leading up to deadlines such as publications or deliverable milestones.
The key challenges on which the applicant will focus can be briefly defined as the following:
  • Work closely with the Principal Investigators (PIs) to ensure that the aims and objectives of the project are achieved in a timely and effective way.
  • Write papers for publication in journals and for presentation at conferences, seminars and other research meetings.
  • Participate in relevant events within the institution or externally, in order to build contacts to facilitate the exchange of information and advance thinking.
  • Support events, conferences and workshops run by the project to develop the project outputs and research agenda.
  • Contribute to the development of further research proposals.
The above list of responsibilities may not be exhaustive, and the post holder will be required to undertake such tasks and responsibilities as may reasonably be expected within the scope and grading of the post.
Skills, knowledge, and experience
Essential criteria
Education/qualification and training:
1. BSc in Telecoms, Computer Science, Electronic Engineering or related area.
2. PhD awarded in relevant topics of Telecoms, Computer Science, Electronic Engineering or related area (or near completion).
Please note that this is a PhD level role but candidates who have submitted their thesis and are awaiting the award of their PhDs will be considered. Should the successful candidate be awaiting the award of their PhD, the appointment will be made at Grade 5, spinal point 30 with the title of Research Assistant until confirmation of the award of the PhD has been received. Upon confirmation of the award of the PhD, the job title will become Research Associate and the salary will increase to Grade 6, spine point 31
Experience:
1. Ability to demonstrate a record of peer-reviewed journal publications.
2. Publications demonstrating his/her experience in relevant research topics.
3. Ability to use Python and MATLAB.
Personal characteristics/other requirements:
1. Strong appetite for interdisciplinary research.
2. Ability to work collaboratively and independently.
3. Good interpersonal / team working skills
Desirable criteria
1. Knowledge of edge computing and 5G/6G wireless networks
2. Prototyping experience in open-air interface and Software-defined Radio
3. Expertise and track record in mobile edge computing
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締切: 16-07-2024

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