Research Associate in Machine Learning and Information Theory

Location: Hybrid - South Kensington Campus, London, UK

About the role:

Applications are invited for a Research Associate* position in the intersection of machine learning and information theory. The successful candidates will be based within the Information Processing and Communications Laboratory under the direction of Prof. Deniz Gunduz.

What you would be doing:

Your role will be to carry out independent research in the intersection of machine learning, information theory, and communications. Background and research experience in some or all of communication systems, 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.

What we are looking for:

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 some or all of statistical learning theory, information theory, communication theory, optimisation, and coding 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

The post is for a full-time (35 hours per week, fixed-term appointment for up to 24 months.

Further information about the post is available in the job description.

*Candidates who have not yet been officially awarded their PhD will be appointed as Research Assistant within the salary range £43,003- £46,297 per annum.

Should you require any further details on the role please contact:

Dr Deniz Gunduz at d.gunduz@imperial.ac.uk .

Any queries regarding the application process should be directed to:

Ms. Joan O'Brien at j.obrien@imperial.ac.uk.

Please note that job descriptions are not exhaustive, and you may be asked to take on additional duties that align with the key responsibilities mentioned above.

Please apply by clicking the 'Apply' buton, above.

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