Research Associate (Transport engineering/ Maritime transport and management

Nanyang Technological University; Singapore; On-site; USD 50,000 - 90,000; Full time

Job summary

An established industry player is seeking a Research Associate in Maritime Studies to advance research in transport engineering and maritime management. This role offers an exciting opportunity to develop innovative models and algorithms that enhance shipping and port management efficiency. You will engage in cutting-edge research involving data analytics and operations research, contributing to significant advancements in the field. Ideal candidates will possess a Master's degree and excellent programming skills in languages like Python and C++. Join a dynamic team that values innovation and research excellence, and make a meaningful impact in maritime transport and logistics.

Qualifications

• Master's degree in a relevant field from a reputable university.
• Strong publication record in peer-reviewed journals.

Responsibilities

• Develop models to enhance port and shipping management efficiency.
• Propose data analytics solutions for maritime practical problems.

Skills

Python

C++

Java

Julia

Data Analysis

Machine Learning

Deep Learning

Optimization

Education

Master's degree in Transport Engineering

Master's degree in Maritime Transport and Management

Master's degree in Computer Science

Job description

Research Associate (Transport Engineering / Maritime Transport and Management / Computer Science)

A Research Associate position in Maritime Studies is available at the School of Civil and Environmental Engineering (CEE) at Nanyang Technological University (NTU). The start date is flexible. The appointment is typically for 1 year, with the possibility of extension based on performance and funding availability. Possible research topics include, but are not limited to, data analytics in maritime studies, big data in shipping, shipping and port management, and green shipping management. Other related research topics are also welcome.

Key Responsibilities:

1. Develop innovative models and algorithms to enhance port and shipping management efficiency;
2. Propose data analytics and operations research solutions for maritime practical problems;
3. Create mathematical models to represent real-world problems and select appropriate solution methods;
4. Conduct numerical experiments to validate the performance of proposed models;
5. Present research findings through academic papers and reports.

Job Requirements:

1. Master's degree in transport engineering, maritime transport and management, computer science, or a related field from a reputable university;
2. Excellent programming skills in Python, C++, Java, Julia, or other competent languages;
3. Strong publication record in reputable peer-reviewed journals or conferences related to maritime transport, logistics management, machine learning, deep learning, and optimization;
4. Proficiency in written and spoken English for data analysis and stakeholder communication;
5. Experience in proposal writing and funding applications is a plus.

We regret that only shortlisted candidates will be notified.