Research fellow(LEAP Project coordinator)
The Baby-LINC Singapore Lab (https://blogs.ntu.edu.sg/baby-linc/) is looking for a talented Research Fellow to act as the Project Coordinator for a fast-paced and dynamic new Wellcome Trust LEAP 1kD infant sociometrics programme led by PI Associate Professor Victoria Leong. 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 as part of the Baby-LINC lab in Singapore and in Cambridge (UK), helping to coordinate study operations across the two study sites. You will also have ample opportunities to interact with the wider Wellcome Trust LEAP network whose partners include Harvard, Yale, Stanford and other Universities across global sites in Boston, New Zealand, Sao Paolo, Singapore, Malawi and more.
The responsibilities of the position include:
- Assist the PI with day-to-day management of the LEAP sociometrics project, working in close coordination with co-PIs A/Prof Domenico Campolo, Prof Juan-Pablo Ortega (School of Mathematical & Physical Sciences), and industry collaborator Neeuro
- Lead data collection efforts for the two main experimental studies to be conducted over two sites (Singapore and Cambridge) and involving over 200 parent-infant dyads · Lead 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)
- Help to oversee the core research team and affiliated research students
- Provide administrative oversight to ensure timely reporting to the funder and tracking of project deliverables and milestones
- Provide pro-active and effective trouble-shooting for any problems that arise
- Work closely with the funder on data sharing and management activities, to ensure compliance with University data management policies, ethics and other governance matters.
Essential requirements:
- A PhD in Psychology, Neuroscience, Biomedical Engineering, Medical Sciences or related Technical and Computational fields
- Strong technical and analytical skills, as demonstrated in relevant research publications
- Experience with human psychological data collection and study design
- Efficient, organised and self-motivated with the ability to work to tight deadlines
- A good team player with strong interpersonal and communication skills
- Experience in project management and research administration
- Experience in working with children (particularly infants) and families
- Experience with EEG and other forms of neuroimaging data collection and analysis
- Experience with computational modelling and advanced statistical analysis
- Experience with paradigms for measurement of executive function, including memory, inhibition and cognitive flexibility
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Experience with measurement and analysis of human social interactions
To apply, please send a Curriculum Vitae to Assoc Prof Victoria Leong (victorialeong@ntu.edu.sg)