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Job ID: 239068

Research Engineer I (SSHR Digital Learning)
Nanyang Technological University


Date Posted Jul. 8, 2024
Title Research Engineer I (SSHR Digital Learning)
University Nanyang Technological University
Singapore, Singapore
Department School of Social Sciences
Application Deadline Open until filled
Position Start Date Available Immediately
 
 
  • Professional Staff
  • Computer Engineering
    Computer Science
    Bioengineering (all Bio-related fields)
 
 

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

 

Key Responsibilities

  • Lead the computational programming and algorithm development for personalized socially-augmented digital avatars, working closely with Prof Nadia Thalmann (a social robotics expert) on the design and customization of the avatars.

  • Data collection efforts for the main experimental studies involving over 100 parent-infant dyads.

  • Contribute toward data analysis and research publication in one or more of these core domains: dyadic EEG+ECG, eye-tracking, motion tracking, speech analysis, social interaction analysis, computational modelling.

  • Help to oversee affiliated research students

 

Job Requirements

  • 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

  • Experience with computational modelling and advanced statistical analysis is preferred

  • Experience with human psychological data collection and study design is preferred

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

  • Efficient, organised and self-motivated with the ability to work to tight deadlines

  • A good team player with strong interpersonal and communication skills.

 

We regret that only shortlisted candidates will be notified.


 
Please reference AcademicKeys.com in your cover letter when
applying for or inquiring about this job announcement.
 
 

Contact Information

 
Please see the job description for contact details
pertaining to this university job announcement.

 

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