Senior Research Fellow (DASH)

Company description:

The National University of Singapore is the national research university of Singapore. Founded in 1905 as the Straits Settlements and the Federated Malay States Government Medical School, NUS is the oldest higher education institution in Singapore.

Job description:

The successful candidate will work with Dr. Pavel TKALICH on Coastal Hydrodynamic, Ocean Dynamics, Water Quality and Ecosystem Modelling, Environmental Impact Assessment, under soon-to-be funded projects on Dispersion of Pollutants in Singapore Coastal Waters and South-East Asia.

The main responsibilities of the position include:

1. Development and running of coastal models for Singapore waters using DELFT3D-FM/MIKE3D.

Qualifications

Ph.D. or Master's degree from reputable universities in Oceanography, Coastal Science and Engineering, Data Science, or other related disciplines. Level of appointment and remuneration commensurate with the candidate's experience.

Skills:

• Strong theoretical background and applied knowledge of coastal processes, including wind-waves, hydrodynamics and admixture/sediment transport;
• Experience in using DELFT3D-FM, Delft-FEWS and other models for coastal modelling. Knowledge of MIKE-3DFM is appreciated.
• Understanding of eutrophication/primary production processes and modelling experience of marine ecosystem is a plus.

Other Demonstrated Experience and Skills:

• Strong background in physics-based and statistical modeling, machine learning and data analysis;
• Experience with programming languages such as FORTRAN, PYTHON, R, or MATLAB;
• Familiarity with oceanographic, atmosphere data, and remote sensing technologies;
• Excellent communication and teamwork skills. Collaboration with a multidisciplinary team of oceanographers, data scientists, and environmental researchers is vital.

More Information

Location: Kent Ridge Campus

Organization: Tropical Marine Science Institute

Department: Physical Oceanography Research Laboratory

Employee Referral Eligible: No

Job requisition ID: 28177