Job Description

Job number

ENG03605

Faculties

Faculty of Engineering

Departments

Department of Electrical and Electronic Engineering

Salary or Salary range

48,056 - 56,345 per annum

Location/campus

South Kensington Campus - Hybrid

Contract type work pattern

Annualised Hours - Full time Fixed term

Posting End Date

29 Jul 2025

About the role

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Applications are invited for a Research Associate in Signal Processing for Communications



The research Associate will conduct original research in signal processing, optimization, and inverse problems with implications in communications. The opening is part of the EPSRC funded project across the UK on Future Communications Hub in All-Spectrum Connectivity.

The Research Associate will work on the foundational aspects of signal processing, in particular Unlimited Sensing (https://alumni.media.mit.edu/~ayush/usf.html) with applications tied to communication theory and methods including communication systems. Among other aspects, the key idea here is to exploit a co-design between hardware and algorithms to go beyond conventional barriers in digital data acquisition.

What you would be doing

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Key responsibilities include:


To take initiatives in the planning of research To direct the work of small research teams To identify and develop suitable techniques and apparatus for the collection and analysis of data To conduct data analysis To ensure the validity and reliability of data at all times To maintain accurate and complete records of all findings To write reports for submission to research sponsors To present findings to colleagues and at conferences To submit publications to refereed journals To provide guidance to staff and studentsTo attend relevant workshops and conferences as necessary To develop contacts and research collaborations within the College and the wider community

What we are looking for

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Education

Research Associate:

Hold a PhD (or equivalent) in the general area of
+ Inverse Problems
+ Signal Processing
+ Applies Mathematics, or a closely relate discipline

Research Assistant:

Near completion of a PhD (or equivalent) in the general area of
+ Inverse Problems
+ Signal Processing
+ Applied Mathematics, or closely related discipline

Experience

Practical experience within a research environment and / or publication in relevant and refereed journals Experience of dealing with specific groups of people, e.g. industry, sponsors, patients Practical experience in a broad range of techniques, including.
+ Design and optimisation of signal processing systems.
+ Design of experiments to validate ideas.
+ implementation of algorithms via hardware, where possible.

Knowledge

Knowledge in several areas among:


Sampling Theory Harmonic Analysis Inverse Problems Signal and Image Processing

Skills & Abilities

Ability to conduct a detailed review of recent literature Ability to develop and apply new concepts Creative approach to problem-solving Excellent verbal communication skills and the ability to deal with a wide range of people Excellent written communication skills and the ability to write clearly and succinctly for publication Ability to direct the work of a small research team and motivate others to produce a high standard of work

What we can offer you

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The opportunity to continue your career at a world-leading institution and be part of our mission to continue science for humanity. Grow your career: gain access to Imperial's sector-leading dedicated career support for researchers as well as opportunities for promotion and progression. Sector-leading salary and remuneration package (including 39 days off a year and generous pension schemes). Be part of a diverse, inclusive and collaborative work culture with various staff networks and resources to support your personal and professional wellbeing.

Further information

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Please note that job descriptions cannot be exhaustive, and the post-holder may be required to undertake other duties, which are broadly in line with the above key responsibilities



For any specific queries regarding the post please contact Dr Ayush Bhandari a.bhandari@imperial.ac.uk

Available documents

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Attached documents are available under links. Clicking a document link will initialize its download.

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.

We reserve the right to close the advert prior to the closing date stated should we receive a high volume of applications. It is therefore advisable that you submit your application as early as possible to avoid disappointment.



If you encounter any technical issues while applying online, please don't hesitate to email us at support.jobs@imperial.ac.uk. We're here to help.

About Imperial

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Our Culture

We work towards equality of opportunity, to eliminating discrimination, and to creating an inclusive working environment for all. We encourage applications from all backgrounds, communities and industries, and are committed to employing a team that has diverse skills, experiences and abilities. You can read more about our commitment on our webpages.



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