Doctoral Research Fellow (BRAINET MSCA DN) - CSEE

Department

The School of Computer Science and Electronic Engineering at the University of Essex hosts research in communications, networking, signal processing and modelling under severe energy, bandwidth and safety constraints. The posts are based in the Unconventional Communications and Computing Laboratory (UC2), led by Dr Michael T. Barros. The appointments are part of BRAINET (Networked Distributed Neural Interfaces for Interference-Based Brain Stimulation), an MSCA Doctoral Network.

Appointment will be to the position of Senior Research Officer and as such, will be referred to by this job title in the attached job pack.

Duties of the Role

You will register for a PhD at the University of Essex and undertake doctoral research aligned to one of two Essex-hosted BRAINET projects. DC4 develops multiphysical communications for networked power and information transfer (magnetoelectric, NFC, ionic media and optics), characterising biophysical limitations of the human head and designing an optimised system under those constraints. DC5 develops a multimodal communication system for subdural brain implants enabling networking, including efficient signal processing and data compression methods, and evaluation of safety, reliability and long-term viability.

You will contribute to project deliverables, produce publishable outcomes, and participate in BRAINET training and consortium activities. Planned secondments depend on project assignment: DC4 includes Aalborg University (3 months) and INRIA (3 months); DC5 includes INRIA (3 months) and G.TEC (3 months).

Skills and qualifications required

You should have a good honours degree in Electrical/Electronic Engineering, Computer Science, Biomedical Engineering, Communications Engineering, Signal Processing, Physics, Mathematics, or a closely related discipline. A Masters degree in Electrical/Electronic Engineering, Computer Science, Biomedical Engineering, Communications Engineering, Signal Processing, Physics, Mathematics, or a closely related discipline is desirable.

You must be eligible to register for a PhD at Essex. You will need strong quantitative skills, research-grade programming ability (e.g., Python/MATLAB), and the ability to run rigorous computational experiments with reproducible workflows.

Familiarity with communication systems, signal processing, biophysical channel modelling, and/or neural/physiological signals is desirable; evidence of strong research aptitude and rapid learning is essential. You must be willing and able to undertake international secondments.

A full list of duties and responsibilities can be found within the job pack.

Please note (MSCA mobility rule)

Applicants must comply with the MSCA Doctoral Networks mobility rule: in general, they must not have resided or carried out their main activity (work, studies, etc.) in the UK for more than 12 months in the 36 months immediately before their recruitment date; eligibility will be checked during recruitment. 

The University of Essex is committed to equality, diversity and inclusion and welcomes applications from all sections of the community, particularly from groups underrepresented within the University, including women and non-binary people.

Please use the 'Apply' button to read further information about this role including the full job description and person specification which outlines the full duties, skills, qualifications and experience needed for this role. You will also find details of how to make your application here.

Our website http://www.essex.ac.uk contains more information about the University of Essex. If you have a disability and would like information in a different format, please email resourcing@essex.ac.uk.

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