Research Assistant in Computational Modelling of Neural Interfaces (Fixed Term)

A position exists for a Research Assistant in the Department of Engineering, University of Cambridge, to work on an exciting new project developing minimally invasive implantable neural probes for brain interfacing. The project will involve the design, evaluation and characterisation of advanced neural interfaces, supported by computational modelling to investigate their electrical performance and safety.

The post holder will be located in the Department of Engineering, The Institute for Biomedical Innovation, 11 JJ Thomson Avenue, Cambridge, CB3 0FF.

The key responsibilities and duties are to contribute to the design and evaluation of implantable neural interfaces; undertake electrical characterisation and computational simulations using tools such as Sim4Life or COMSOL; analyse and interpret experimental and simulation results; collaborate with researchers working on device fabrication and electrophysiology; maintain accurate research records; and contribute to research reports, publications and presentations.

The skills, qualifications and experience required to perform the role are an undergraduate degree in Engineering, Biomedical Engineering, Physics or a related discipline, with a postgraduate qualification in neural engineering, bioelectronics or a related field desirable. Applicants should demonstrate knowledge of neural interfaces, implantable bioelectronic devices or related biomedical technologies, together with relevant research experience in device design, testing, electrical characterisation or electrophysiology. Familiarity with computational modelling tools such as Sim4Life or COMSOL is also essential. The successful candidate will have good analytical, problem solving and communication skills, and the ability to work effectively within an interdisciplinary research team.

Salary Ranges:  £33,662 - £36,320

Fixed-term: The funding is for 12 months or through until 30 November 2027, whichever of these comes soonest.

To apply online for this vacancy and to view further information about the role, please click the 'Apply' button above.

Please ensure that you upload your Curriculum Vitae (CV), a covering letter and publication list in the Upload section of the online application. If you upload any additional documents which have not been requested, we will not be able to consider these as part of your application. Please submit your application by midnight on the closing date.

If you have any questions about this vacancy, please contact Amparo Güemes (ag2239@cam.ac.uk) for queries of a technical nature related to the role and Kirsty Sylvester (kjs64@cam.ac.uk) for queries related to the application process.

Please quote reference NM51621 on your application and in any correspondence about this vacancy.

The University actively supports equality, diversity and inclusion and encourages applications from all sections of society.

The University has a responsibility to ensure that all employees are eligible to live and work in the UK.

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