Research Fellow (Neural Sociometrics)

The Baby-LINC Singapore Lab (https://blogs.ntu.edu.sg/baby-linc/) is looking for a talented Research Fellow in Neural Sociometrics. S/he 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 candidate 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 the development of new robust computational models for assessment of parent-infant social attunement in neural, physiological and behavioural domains (neural sociometrics)

• Help to oversee and train a diverse and talented research team within the lab

• Liaise closely with collaborators in the Schools of Engineering, Medicine, Economics, Policy Policy, as well as in clinical practice

• Contribute toward data collection efforts primarily in Singapore, involving over 200 parent-infant dyads

• Lead in the publication of research outputs

Job Requirements

Essential

• PhD in Psychology, Neuroscience, Biomedical Engineering, Medical Sciences or related Technical and Computational fields

• Strong technical and analytical skills in neural computational analysis, 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

Desired  

• Experience in working with children (particularly infants) and families

• Experience with EEG and other forms of neuroimaging data collection and analysis

• Experience with paradigms for measurement of executive function, including memory, inhibition and cognitive flexibility

• Experience with measurement and analysis of human social interactions

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

Hiring Institution: NTU

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