Research Associate in mmWave RF Sensing and Machine Learning

at  Imperial College London

WHAT WE ARE LOOKING FOR

It will be expected that the candidate will have a PhD in a Communications field (from Electrical and Electronics Engineering or Computer Science) that demonstrates knowledge of the spectrum of the subject from theory to practical implementation.
You will have had experience working in an area pertinent to IntentMAPs, i.e. in Artificial Intelligence and RF sensing with Reconfigurable Intelligent Surfaces to carry out Human Activity, Gesture and Pose Recognition research.
You will have experience in publishing research in leading conferences and journals.

You will demonstrate the ability to build proofs-of-concept of such systems and have a practical understanding of:

• Signal processing algorithms,
• Channel modelling
• Antennas and RF sensing
• Machine learning for communications systems
• Machine Learning for human activity classification and pose determination.

You will enjoy adventure in research, broadening your knowledge and trying new things.

See job description for full list of requirements.

• Candidates who not yet been officially awarded their PhD will be hired at Research Assistant level: salary scale £43,003 - £46,297 per annum.

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

We are seeking to hire a Research Associate (Post-Doc) to join the EPSRC funded IntentMAPS: Anticipating Intent facilitated by Multi-scale Adaptive Passive RF Sensing Project. This project aims to carry out Human Activity monitoring at scale in complex environments.

WHAT YOU WOULD BE DOING

This project aims to combine mmWave RF Sensing, enhanced using Reconfigurable Intelligent Surfaces (aka IRC) and machine learning to better understand human pose, gesture and activity recognition. The work aims to build proofs of concept demonstrations of the technology in challenging situations. The research will involve building demonstrations of such systems, but this is driven from the fundamental theoretical knowledge that underpin them.
You will be co-creating new models, algorithms and schemes to advance the field of joint sensing and communications for 6G telecoms and way beyond.