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Research engineer (SSHR DIGITAL LEARNING)

The Baby-LINC Singapore Lab (https://blogs.ntu.edu.sg/baby-linc/) is looking for a talented Research Engineer to join a new research study funded by a Ministry of Education Social Sciences and Humanities Research (SSHR) Fellowship to A/Prof Victoria Leong on “The digital future of human learning: Social optimisation of digital media for early learning”. This project aims to develop socially-intelligent digital technology to support interactive learning in infants and young children, using dyadic-EEG techniques to monitor brain learning states during social interaction (see Leong et al, 2017 PNAS; Wass et al, 2020 TICS). You will join a dynamic and friendly international research team which operates in Singapore and in Cambridge (UK), although the data collection for this study will be conducted entirely in Singapore.

The responsibilities of the position include:

  • Lead the computational programming and algorithm development for personalized socially-augmented digital avatars
  • Support data collection efforts for the main experimental studies
  • Support data analysis and research publication in one or more of the core domains (dyadic EEG+ECG, eye-tracking, motion tracking, speech analysis, social interaction analysis, computational modelling)
  • Help to oversee affiliated research students
  • Responsible for overseeing research students and tracking budgetary information pertaining to equipment and programming costs

Essential requirements:

  • A good Bachelor’s Degree in Computer Science, Engineering (including Biomedical Engineering), or related Technical and Computational fields
  • Strong technical and programming skills, particularly in digital media and/or social robotics, as demonstrated by relevant research publications or other outputs
  • 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 computational modelling and advanced statistical analysis
  • Experience with human psychological data collection and study design
  • Experience with EEG and other forms of neuroimaging data collection and analysis

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