Research Associate (Fixed Term)

University of Cambridge
June 04, 2023
Offerd Salary:£35,308-£43,155
Working address:N/A
Contract Type:Fixed-term: The fund
Working Time:Negotigation
Working type:N/A
Ref info:N/A
Research Associate (Fixed Term)

The National Institute for Health Research, Biomedical Research Centre is part of the NIHR and hosted by Cambridge University Hospitals in partnership with Cambridge University to deliver ground breaking research that benefits patients

The Devices and Advanced Therapies theme was developed in line with the UK government's Life Sciences Vision 2021, which aims to fast-track patient access to new treatments and technologies.

This is an exciting new theme driven by the need to support the rapid advancements in Medical Devices and Advanced Therapy research in Cambridge.

Applications are invited for

A Research Associate to advance ear-level worn sensors to measure human motion, and EEG and eye movements. Our stated aims are to be able to reconstruct human body movement from ear level motion capture devices (accelerometer, gyroscope, magnetometer) and EEG from ear level sensing electrodes, as well as electro-oculography to measure eye movements for a range of applications. This is for outpatient monitoring of patient health states and rehabilitation.

As part of the Medical Devices and Advanced Therapeutics theme we are looking for an enthusiastic post doctorial researcher to help drive forward our work into wearable movement analysis technologies.

The successful candidate will have:

Experience in collecting movement data (motion capture, electrophysiology EMG EOG, inertial measurements) from people with movement or balance problems. Any experience with eye gaze or attention tracking would be an advantage. They will have a good understanding of data classification and neural networks. Knowledge in human movement simulation would be an advantage. Key to the role is the fusion of multiple data sources to derive an understanding of the system state.

The candidate will support the team in developing an understanding between localised measurements of movement and body state from the head measurements and relating this to whole body and environmental information.

The candidate will have or be near completion of a PhD in a physical engineering related field.

Key skills might include: 3d rigid body dynamics, simulation of 3d rigid body dynamics, EEG measurements (Analytics, i.e. Data Classification, Sensor data fusion, Embedded design, sensor fabrication), knowledge in software tools / languages such as Vicon Nexus, OpenSim, visual 3D, Python, Unreal would be an advantage.

For questions relating to the post, please contact Professor Manohar Bance at [email protected]

Fixed-term: The funds for this post are available for 18 months in the first instance.

Once an offer of employment has been accepted, the successful candidate will be required to undergo a health assessment and an enhanced Disclosure and Barring Service check. This appointment also requires a Research Passport application.

Closing Date: 4 June 2023

Interview Date: w/c 12th June 2023

Click the 'Apply' button below to register an account with our recruitment system (if you have not already) and apply online.

Please ensure that you upload a covering letter and CV in the Upload section of the online application. The covering letter should outline how you match the criteria for the post and why you are applying for this role. 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 include details of your referees, including e-mail address and phone number, one of which must be your most recent line manager.

Please quote reference ZE36698 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.

Further information
  • Further Particulars
  • Department/Location

    Department of Clinical Neurosciences








    12 May 2023

    Closing date

    4 June 2023

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