Job description
Job summary
Applications are invited for a Research Associate position in the intersection of machine learning and communications. The successful candidates will be based within the Information Processing and Communications Laboratory under the direction of Prof. Deniz Gunduz.
This is a fixed-term appointment: for 12 months or until 31 October 2022.
Further information about the posts is available in the job description.
Duties and responsibilities
Your role will be to carry out independent research in the intersection of machine learning, information theory, and wireless communications. Background and research experience in some or all of wireless communication system, coding theory, information theory, distributed learning, reinforcement learning, and modern deep learning architectures is desired.
You are expected to actively write and submit publications to top refereed journals and conferences and to contribute to attracting external research funding.
The project includes an allowance for you to travel to international conferences.
Essential requirements
You must have a PhD degree (or equivalent research, industrial or commercial experience) in Electrical and Electronic Engineering, Computer Science or a closely related discipline
You must also meet the following criteria:
- Considerable experience in machine learning, coding theory, communication theory, optimization and information theory.
- High level of analytical and computing skills
- Proven research record and publications in relevant areas, commensurate with career stage
- Programming experience
- Excellent communication skills, and able to organise your work with minimal supervision
- Fluent in spoken and written English
Further information
*Candidates who have not yet been officially awarded their PhD will be appointed as Research Assistant within the salary range £36,694 - £39,888 per annum.
For informal enquiries about the post please contact Dr Deniz Gunduz at [email protected] .
Any queries regarding the application process should be directed to Ms. Joan O'Brien at [email protected] .
Documents
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