Coastal Research Engineer - Field Data & ML

National University of Singapore; Singapore; On-site; SGD 60,000 - 90,000; Full time

Job summary

The National University of Singapore (NUS) invites applications for one Research Engineer position in Coastal Engineering Research. The candidate will investigate the impact of hydrologic and hydrodynamic processes on coastal structures, and work on data analysis using Python, with exposure to machine learning.

Responsibilities include field data collection, field experiments, coordination among project parties, and handling project administration such as procurement and permits.

Qualifications

• Bachelor's degree in civil engineering or related field.
• Master's degree preferred.
• Experience with field testing and field data management is essential.
• Proficiency in finite element modelling and Python programming.
• Excellent organizational and communication skills.
• Ability to work independently and with stakeholders, including government agencies.
• Open to a fixed-term contract.

Responsibilities

• Analyse collected data using Python and advanced methods such as machine learning.
• Assist with the analysis of hydrodynamics and biodiversity interactions.
• Facilitate smooth communication and coordination among all project parties.
• Responsible for project administrative tasks, including procurement and maintenance, permit applications, and scheduling of activities.
• Deploy field equipment and conduct field experiments in coastal environments to collect high-quality data.
• Summarize research findings in high-quality research presentations and reports.

Skills

Python programming

Machine learning

Data analysis

Finite element modelling

Communication

Independent work

Education

Bachelor's degree in Civil Engineering

Master's degree preferred

Job description

The National University of Singapore (NUS) invites applications for one Research Engineer position in Coastal Engineering Research. The candidate will investigate the impact of hydrologic and hydrodynamic processes on coastal structures, and work on data analysis using Python, with exposure to machine learning.

Responsibilities include field data collection, field experiments, coordination among project parties, and handling project administration such as procurement and permits.