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Research Associate in Machine Learning

King's College London - Natural, Mathematical & Engineering Sci

Location: London
Salary: £43,205 to £50,585 per annum, including London Weighting Allowance
Hours: Full Time
Contract Type: Fixed-Term/Contract
Placed On: 7th December 2023
Closes: 15th January 2024
Job Ref: 080725
 

Job description

Applications are invited for a position as a Research Associate in Machine Learning at King’s College London. The position is full-time and with up to a one-year contract initially, and extendable to 2 years. The post is due to start in the first quarter of 2024.

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 federated learning/deep reinforcement learning/generative AI is preferred.

At King’s, you will join a research-leading and multi-disciplinary team led by Dr Yansha Deng. You will be based in the Centre for Telecommunications Research group at the Department of Engineering.

This post will be offered on a fixed term contract for one year, or until 31st March 2025 initially, and extendable to 2 years. This is a full-time post - 100% full-time equivalent.

Key Responsibilities

The role will involve carrying out research in machine learning for 6G wireless networks with other team members, with a focus on developing machine learning solutions for task-oriented communications. The successful candidate will be able to develop skills in the exciting and emerging field of machine learning for future 6G 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:

  • BSc in Computer Science, Telecoms, Electronic Engineering, or related area.
  • PhD awarded in a relevant topic of Computer Science, Telecoms, 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:

  • Ability to demonstrate a record of high-quality peer-reviewed top AI or conference or journal publications.
  • Publications demonstrating his/her experience in multi-agent deep reinforcement learning/ federated learning/ generative AI, etc.
  • Ability to carry out cutting-edge research in machine learning.
  • Ability to use Python and Matlab with strong coding skills.
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