The Defence Science and Technology Agency (DSTA) brings you to the forefront of cybersecurity, digital transformation and engineering. From working on software development and systems integration to unmanned technologies and artificial intelligence, you can have an impact on Singapore’s defence.

Achieve your fullest potential with opportunities to build your technical expertise and hone your competencies in diverse domains. You can also expect an immersive learning experience, where you will work with bright minds and collaborate with global industry experts.

DSTA is recognised as one of the top 10 employers in the Engineering & IT sector, where our engineers and IT professionals work alongside procurement specialists to deliver state-of-the-art capabilities for Singapore’s peace and security.

Learn more about DSTA at https://www.dsta.gov.sg. You may also email us at hrjobs@dsta.gov.sg if you have any enquiries pertaining to careers.

Roles & Responsibilities

1. Work with stakeholders to translate their requirements for behavioural science-related problems into feasible and theoretically-backed research plans.
2. Execute these research plans independently with the appropriate use of statistical and applied computational techniques on large unstructured datasets.
3. Present these findings as practical and outcome-driven insights to stakeholders and engineers for capability development.
4. Independently identify potential areas/constructs of interests, initiate and implement research exploration into such areas.
5. Collaborate internally on a technical level with engineers to provide a behavioural science perspective on relevant work.
6. Collaborate externally on technical work with industry and academic research partners.

Requirements

1. PhD / Masters / Bachelor's Degree in Psychology or related social science/applied computational discipline
2. Knowledge in at least one programming language for the purpose of data analysis. In particular, Python is preferred, and knowledge of additional programming languages (e.g., R) will be advantageous.
3. Strong foundation in statistical methods and understanding of quantitative social science research methods. Knowledge of social psychology and/or sociology is a plus.
4. Experience in combining computational methods (e.g., applied natural language processing) with social science theories/frameworks to derive meaningful insights on human behaviour from large unstructured datasets.
5. Experience in data visualisation and open source data analysis and investigations
6. Strong communication and interpersonal skills.
7. Self-motivated, able to work independently to set and execute research directions.
8. Able to collaborate with engineers in a multi-disciplinary environment.