Job Description:
The Baby-LINC Singapore Lab (https://blogs.ntu.edu.sg/baby-linc/) is looking for talented Research Fellows 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 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. Job Responsibilities Assist the PI with day-to-day management of the LEAP sociometrics project working in close coordination with co-PIs A/Prof Domenico Campolo (School of Mechanical & Aerospace Engineering) Prof Juan-Pablo Ortega (School of Mathematical & Physical Sciences) and industry collaborator Neeuro Help to oversee a diverse and talented research team of 8-10 staff (comprising postdoctoral fellows research assistants and engineers) Assist with supervision of over 12 graduate and undergraduate research students affiliated with the project Contribute towards data collection efforts primarily in Singapore involving over 200 parent-infant dyads Expected to 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) working closely with the computational modelling team on deep phenotyping and EF prediction Contribute administrative oversight to ensure timely scientific and financial reporting to the funder keep accurate records of project activities deliverables and milestones and provide pro-active and effective troubleshooting for any problems that arise May be expected to work closely with the funder on data sharing and management activities to ensure compliance with University data management policies ethics and other governance matters
Job Requirements
Essential 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 Good team player with strong interpersonal and communication skills
Desired 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 Experience with measurement and analysis of human social interactions
We regret to inform that only shortlisted candidates will be notified.
Hiring Institution: NTUIn line with Singapores 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. |
