Research Associate


Imperial College London is a science-based institution with the greatest concentration of high-impact research of any major UK university. All of our academic departments are located on a single campus in South Kensington, giving a concentration of talent that creates a stimulating and vibrant research community. You can find out more about our staff benefits, including generous annual leave entitlements and our excellent professional development opportunities, here:

The Department of Bioengineering at Imperial College London is leading the bioengineering agenda both nationally and internationally, advancing the frontiers of our knowledge in the discipline’s three main areas: Biomedical Engineering (Developing devices, techniques and interventions for human health), Biological Engineering (Solving problems related to the life sciences and their applications for health), Biomimetics (Using the structures and functions of living organisms as models for the design and engineering of materials and machines). At White City, the Department boasts state-of-the-art laboratories, including ‘wet labs’ for cell culture, chemistry, histology, flow studies, biosensors and electrophysiology, biomaterials, molecular biology, and high throughput biological screening; as well as ‘dry labs’ for modelling, electronics, imaging and mechanics. The space has been designed to promote greater interaction among researchers – just what is needed for the interdisciplinary field that is modern bioengineering.


The role of the person appointed with this position will be the development of blind-source separation algorithms to process neural signals recorded using ultra-high-density sensors placed on muscles or on the scalp. This is in the context of the actions of a UK-EPSRC large project in which several PIs at Imperial College collaborate to develop new noninvasive neural recording systems. The work also involves collaborating with other groups taking part in the project, as well as expertise in mathematics and statistics, advanced signal processing, spectral analysis and biological signal processing.

Further information

You must have a good undergraduate degree/ MSc in Biomedical Engineering, Electronics and Communications, Systems Engineering, Informatics, Robotics (or equivalent). You will have a significant theoretical background and hands-on expertise in electronics, programming, control theory, mathematics, and in general hardware implementation. Good programming skills in Matlab or Python are required for this position. Experience with running user studies as well as industrial-level experience are a plus.

For informal enquiries about the post please contact Professor Dario Farina at

Our preferred method of application is online via our website. Please click ‘apply’ below or go to  (Select “Job Search” then enter the job title or vacancy reference number into “Keywords”). Please complete and upload an application form as directed quoting reference number ENG01434. Further information is also available on the job description.

Any queries regarding the application process should be directed to Miss Jo Adam at

Closing Date: 4 weeks from the date of posting

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