Job Description

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Accept ClosePress Tab to Move to Skip to Content LinkSearch JobsJob Title: Research Fellow (Machine Learning for Coastal Ocean Modelling)Posting Start Date: 30/10/2024: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:Development and application of Machine Learning/Data Driven methods for fast solution of broad range of Coastal, Ocean and Environmental problems.QualificationsQualifications / Discipline: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:

• Development and implementation of machine learning / data driven models to analyze and interpret coastal oceanographic data.
• Experience may include: (a) Machine Learning, like decision trees, support vector machines, and neural networks; (b) Statistical Analysis, including as regression analysis, hypothesis testing, and ANOVA; (c) Data Mining, including clustering, association rule mining, and anomaly detection.
• Contribution to the advancement of predictive data driven models for coastal ocean processes, including wind-waves, currents, sea level extremes, coastal erosion, and marine ecosystem dynamics.

• 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.

National University of Singapore