Research Assistant (LEAP Sociometrics Project)
The Baby-LINC Singapore Lab (https://blogs.ntu.edu.sg/baby-linc/) is looking for two talented Research Assistants to join 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). You will also have 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 primary responsibilities of the Research Assistants will be to perform participant recruitment, data collection and basic data analysis for the two main experimental studies to be conducted in the laboratory and at home respectively, involving over 100 parent-infant dyads in Singapore. This will involve the simultaneous collection from parent and infant of multiple data streams including EEG, ECG, eye-tracking, motion tracking, video and audio data, whilst they are engaged in a variety of social interactive and cognitive tasks. You will also be expected to assist with data coding of video and audio data for behavioural analysis of parent-infant social interaction and synchrony. Finally, you may be asked to assist with related graduate and undergraduate student projects, and to perform other administrative and research duties as necessary and appropriate.
The responsibilities of the position include:
- Perform participant recruitment, data collection and basic data analysis for the two main experimental studies to be conducted with parents and infants in the laboratory and at home
- Assist with data coding of video and audio data for behavioural analysis of parent-infant social interaction and synchrony
- Assist with graduate and undergraduate research student projects
- Provide other administrative and research support to the PI where necessary
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Responsible for overseeing research staff and students and tracking budgetary information across the entire project
Essential requirements:
- A good Bachelor’s degree (at least second-upper) in Psychology, Neuroscience, Biomedical Engineering, Medical Sciences or related Technical and Computational fields
- Experience with human psychological data collection, working with children (particularly infants) and families
- Efficient, organised and self-motivated with the ability to work to tight deadlines
- A good team player with strong interpersonal and communication skills
- Experience with EEG and/or eye-tracking data collection
- Skills in programming and/or computational analysis of data
- Interest in parent-child social interaction and the early development of executive functions and cognition
