Research engineer (LEAP Sociometrics Project)

The Baby-LINC Singapore Lab (https://blogs.ntu.edu.sg/baby-linc/) is looking for a talented Research Engineer 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 responsibilities of the position include:

• Achieve the successful assembly, integration and tight time synchronization of the lab-based multimodal sociometrics sensor array comprising dyadic-EEG, ECG, eye-tracking, motion-tracking, video and audio datastreams.
• Assist with data analysis and data quality benchmarking of the lab-based dataset
• Work closely with co-PIs on computational modelling and toy sensor integration aspects of the project
• Work closely with industry partner, Neeuro, to develop a portable wireless EEG headset suitable for infant home use.
• Provide technical support to other Work Packages as necessary

Essential requirements:

• A good Bachelor’s degree (at least second-upper) in Engineering, Biomedical Engineering, Computer Science or a related field
• Experience in the collection and analysis of one or more of these forms of data:

  o EEG (strongly preferred)

  o ECG

  o Eye-tracking

  o Motion-tracking

  o Automated video or speech analysis

• Efficient, organised and self-motivated with the ability to work to tight deadlines
• A good team player with strong interpersonal and communication skills
• Skills in machine learning and/or computational modelling and analysis of large complex datasets
• Experience working with human participants in an experimental context
• Interest in neuroscience or developmental psychology

To apply, please send a Curriculum Vitae to Assoc Prof Victoria Leong (victorialeong@ntu.edu.sg)