Principal/ Senior Analyst, Behavioural Science

DEFENCE SCIENCE AND TECHNOLOGY AGENCY
  • Job Category
    Information Technology, Public / Civil Service
  • Job level
    Manager
  • Contract type
    Permanent

Job Description

DSTA is a top-notch technology organisation that drives innovation and delivers state-of-the-art capabilities to make the SAF a formidable fighting force. Our engineers and IT professionals harness multidisciplinary expertise to equip our soldiers with advanced systems to defend Singapore.

We also contribute our technological expertise to support national-level developments. To achieve our mission, DSTA performs a variety of roles ranging from acquisition and procurement to cybersecurity and software development.

Opportunity

We are looking for individuals to join us in our Information Programme Centre where you will conceptualise and develop models and analysis to research behavioural science insights, trends and case studies using the appropriate simulation or behavioural science methodologies and approaches. The role will require you to:

  • Conduct impact analysis, sensitivity analysis
  • Validate simulation models
  • Engage the various stakeholders to gather data and insight reports, to evaluate and report on behaviour changes through data visualisation
  • Model and analyse both the staff and user preferences, behaviour and interactions

Requirements

  • PhD in Behavioural Science, Computer Science, Psychology, Sociology, Computer Science and Engineering in Cognitive Science and Human Factor Engineering
  • Minimum 2 years of relevant experience in developing behavioural science or predictive models for behaviour, preference or demand
  • Strong knowledge of research methods, experimental design and statistics
  • Good understanding of model integration into simulation and experience in real-world model validation
  • Efficient and detail-oriented time analyst who thrives in a dynamic and fast-paced working environment
  • Proficient in statistical programming in languages such as Python and R and knowledge in machine learning will be preferred

Closing on 20 May 2021