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A position exists for a talented Research Associate to join a fast-paced and dynamic Wellcome Trust LEAP 1kD project on early brain and cognitive development. This interdisciplinary research programme will develop lab-based and portable scalable tools – including dyadic-EEG, eye-tracking, motion-tracking, speech and video analytics – for the measurement of the effects of social interaction on infants’ developing cognition and executive function. You will join a dynamic and friendly international consortium, based at the Department of Applied Mathematics and Theoretical Physics and working closely with Associate Prof. Victoria Leong in the Baby-LINC lab at Nanyang Technological University (Singapore) and Prof. Zoe Kourtzi Cambridge, (UK), and contribute to scientific operations across the two or more international study sites. You will be specifically offered the opportunity to participate in short-term overseas deployments to conduct data collection at LEAP partner sites such as Brazil (Sao Paolo) and South Africa (Cape Town).
The primary responsibility of the Research Associate will be to participate in and/or help to lead data collection efforts in Cambridge and at least one international site (e.g. Brazil, South Africa or Singapore). You will also be expected to lead/assist in data analysis in one or more of the core sociometrics domains (dyadic EEG+ECG, eye-tracking, motion tracking, speech analysis, synchrony analysis, social interaction analysis), working closely with the computational modelling team on deep phenotyping and EF prediction. You will also write or contribute to publications or disseminate research findings using other appropriate media. You will help to keep accurate records of project activities, deliverables and milestones, and provide pro-active and effective trouble-shooting for any problems that arise.
The role holder will also assist in the supervision and training of more junior staff and research project students, participate in networking activities, and support the general administrative running of the project.
The successful candidate will have PhD in Psychology, Neuroscience, Biomedical Engineering, Medical Sciences or related fields or an equivalent qualification.
Overseas travel is essential, and remote working at other times will be considered. The role holder may be required to work on weekends. Please note that you will require a passport with at least 6 months’ validity remaining.
Fixed-term: The funds for this post are available until 31st July 2023 in the first instance.
Informal inquiries can be made by contacting Victoria Leong ([email protected]) or Ellen Ashmore ([email protected]).
The closing date is Friday 24th February 2023, and the interviews are likely to be in early March 2023.
To apply online for this vacancy and to view further information about the role, please visit: www.jobs.cam.ac.uk/job/38740.
Please indicate the contact details of two professional referees on the online application form and upload a full curriculum vitae.
Please quote reference LE34714 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. We particularly welcome applications from women and /or candidates from a BME background for this vacancy as they are currently under-represented at this level in our Department.
The University has a responsibility to ensure that all employees are eligible to live and work in the UK.
