Job Description
The Singapore Nuclear Research and Safety Institute (SNRSI), a university-level research institute at NUS established in 2014, is committed to excellence in nuclear safety research. Within SNRSI, the Radionuclide Dispersion team specialises in modelling the migration and impact assessment of radioactive pollutants through various pathways in Singapore and the surrounding region. The team is dedicated to advancing the academic community while tackling real-world challenges faced by government agencies and stakeholders.
With several positions open for Research Assistant and Research Associate, we welcome motivated candidates to join us – an excellent opportunity to collaborate with colleagues from world-leading universities and develop essential skills in the exciting world of modelling and cutting-edge technologies, including data analysis and visualisation, machine learning, computational methods, and more.
If offered the position, you will join a multidisciplinary research team and participate in the following research activities:
- Development of comprehensive dispersion models
Work with the team to develop mathematical models to simulate the transport, migration, and redistribution of radionuclides across multiple environmental media, including the atmosphere, aquatic systems, terrestrial environments, and food chains. The modelling will cover Singapore and, where necessary, extend to the wider regional or global scale. - Radiological impact assessment
Work with the team to conduct assessments of potential radiological impacts on humans and the environment. - Technical support
Assist in preparing technical reports, presentations, and other communication materials, and participate in presenting research findings and explaining technical concepts to government agencies, stakeholders, visitors, and the general public through briefings, outreach programmes, and institutional visits.
Qualifications
- A bachelor’s degree or higher in a relevant discipline, such as physics, geophysics, atmospheric sciences, oceanography, or related field.
- Proficiency in scientific programming languages such as Python, MATLAB for data analysis and visualisation.
- Strong analytical and problem-solving abilities.
- Good written and verbal communication skills, with the ability to communicate technical and scientific information effectively to both professional audiences and the general public.