Research Associate in Machine Learning and Wireless Communications

Location: South Kensington Campus, London, UK 

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 24 months.

Further information about the post 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
• Programming experience
• Excellent communication skills, ability 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 salary range £38,194 - £41,388 per annum.

Further information is available in the job description.

Should you require any further details on the role please contact: Dr Deniz Gunduz at d.gunduz@imperial.ac.uk.

Application process queries should be directed to: Ms. Joan O'Brien at j.obrien@imperial.ac.uk.

The College is currently trialling a Work Location Framework until early 2023. Hybrid working may be considered for this role and the role holder may be expected to work 60% or more of their time onsite, with 40% the minimum time spent onsite. The opportunity for hybrid working will be discussed at interview.

The College is a proud signatory to the San-Francisco Declaration on Research Assessment (DORA), which means that in hiring and promotion decisions, we evaluate applicants on the quality of their work, not the journal impact factor where it is published. For more information, see https://www.imperial.ac.uk/research-and-innovation/about-imperial-research/research-evaluation/

The College believes that the use of animals in research is vital to improve human and animal health and welfare. Animals may only be used in research programmes where their use is shown to be necessary for developing new treatments and making medical advances. Imperial is committed to ensuring that, in cases where this research is deemed essential, all animals in the College’s care are treated with full respect, and that all staff involved with this work show due consideration at every level.

http://www.imperial.ac.uk/research-and-innovation/about-imperial-research/research-integrity/animal-research/ 

Imperial College is committed to equality of opportunity, to eliminating discrimination and to creating an inclusive working environment. We are an Athena SWAN Silver award winner, a Stonewall Diversity Champion, a Disability Confident Employer and work in partnership with GIRES to promote respect for trans people.

Closing date: 10/05/2023

To apply, visit www.imperial.ac.uk/jobs and search by the job reference ENG02564.

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