Research Assistant (Neural Sociometrics)

The Baby-LINC Singapore Lab (https://blogs.ntu.edu.sg/baby-linc/) is looking for two talented Research Assistants in Neural Sociometrics. The Research Assistants will join a large-scale interdisciplinary research project, “A Sociometric AI Screening Tool to Risk-Stratify Infant Neurodevelopmental Trajectories (STARS)”, led by PI Associate Professor Victoria Leong at NTU. This project aims to develop a novel, scalable screening tool to assess infant mental wellbeing and psychosocial health, and map translational pathways for clinical deployment and policy implementation in Singapore. STARS will collect and analyse longitudinal parent-infant “neural sociometric” data (0-3 yrs), combining innovations in two-person brain imaging (dyadic-EEG) with powerful AI machine-learning methods to risk-stratify early neurodevelopmental trajectories, with reference to cognitive and executive function outcomes.

The successful candidates will conduct cutting-edge social neuroscience research with infants and parents (involving dyadic-EEG acquisition and analysis), including children with (or at risk for) Autism Spectrum Disorder (ASD), Attention Deficit and Hyperactivity Disorder (ADHD) or infants born prematurely. You will join a dynamic and friendly international consortium as part of the Baby-LINC lab in Singapore and in Cambridge (UK).

Job Responsibilities

• To lead and coordinate participant recruitment, data collection and basic data analysis for the main experimental studies involving over 200 parent-infant dyads in Singapore

• 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

• Expected to assist with data coding of video and audio data for behavioural analysis of parent-infant social interaction and synchrony

• May be asked to assist with related graduate and undergraduate student projects

• Perform other administrative and research duties as necessary and appropriate

Job Requirements

Essential

• 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

Desired  

• 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

We regret to inform that only shortlisted candidates will be notified.

Hiring Institution: NTU

In line with Singapore’s nationwide Vaccination-Differentiated Safe Management Measures (VDS), employees must be fully vaccinated to return to the workplace, unless certified to be medically ineligible. For Information on VDS, please click here .

The Baby-LINC Singapore Lab (https://blogs.ntu.edu.sg/baby-linc/) is looking for two talented Research Assistants in Neural Sociometrics. The Research Assistants will join a large-scale interdisciplinary research project, “A Sociometric AI Screening Tool to Risk-Stratify Infant Neurodevelopmental Trajectories (STARS)”, led by PI Associate Professor Victoria Leong at NTU. This project aims to develop a novel, scalable screening tool to assess infant mental wellbeing and psychosocial health, and map translational pathways for clinical deployment and policy implementation in Singapore. STARS will collect and analyse longitudinal parent-infant “neural sociometric” data (0-3 yrs), combining innovations in two-person brain imaging (dyadic-EEG) with powerful AI machine-learning methods to risk-stratify early neurodevelopmental trajectories, with reference to cognitive and executive function outcomes.

The successful candidates will conduct cutting-edge social neuroscience research with infants and parents (involving dyadic-EEG acquisition and analysis), including children with (or at risk for) Autism Spectrum Disorder (ASD), Attention Deficit and Hyperactivity Disorder (ADHD) or infants born prematurely. You will join a dynamic and friendly international consortium as part of the Baby-LINC lab in Singapore and in Cambridge (UK).

Job Responsibilities

• To lead and coordinate participant recruitment, data collection and basic data analysis for the main experimental studies involving over 200 parent-infant dyads in Singapore

• 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

• Expected to assist with data coding of video and audio data for behavioural analysis of parent-infant social interaction and synchrony

• May be asked to assist with related graduate and undergraduate student projects

• Perform other administrative and research duties as necessary and appropriate

Job Requirements

Essential

• 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

Desired  

• 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

We regret to inform that only shortlisted candidates will be notified.

Hiring Institution: NTU

In line with Singapore’s nationwide Vaccination-Differentiated Safe Management Measures (VDS), employees must be fully vaccinated to return to the workplace, unless certified to be medically ineligible. For Information on VDS, please click here .