Start Date
Immediate
Expiry Date
08 Oct, 25
Salary
56345.0
Posted On
09 Jul, 25
Experience
0 year(s) or above
Remote Job
Yes
Telecommute
Yes
Sponsor Visa
No
Skills
Design, Algorithms, Harmonic Analysis, Communication Skills, New Concepts, Applied Mathematics, Processing, Inverse Problems, Signal Processing
Industry
Information Technology/IT
EDUCATION
EXPERIENCE
KNOWLEDGE
Knowledge in several areas among:
SKILLS & ABILITIES
FURTHER INFORMATION
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
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 THE ROLE
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
Key responsibilities include: