Research Engineer I/II (System Analysis) Full-time

Research Engineer

The School of Mechanical & Aerospace Engineering (MAE) is a robust, dynamic and multi-disciplinary international research community comprising of world-class scientists and bright students. MAE prides itself in its excellent research capabilities in areas including advanced manufacturing, aerospace, biomedical, energy, industrial engineering, maritime engineering, robotics, etc. The school is equipped with state-of-the-art research infrastructure, housing a comprehensive range of cluster laboratories, test bedding facilities, research centres/institutes and corporate laboratories. Cutting-edge research in MAE addresses the immediate needs of our industries and supports the nation's long-term development strategies. In the new era of industrial 4.0 and sustainable living, MAE is rigorous in developing new competencies to support the growth and competitiveness of our engineering sector in the global landscape. MAE has grown to be a leader in Engineering Research, ranking amongst the top engineering schools in the world.

We are seeking to hire a Research Engineer to conduct interdisciplinary research on risk modeling, analysis and management of complex systems that involve technology, business, humanity and arts. The role will focus on literature study, risk framework and model development, industry data and case collection, and providing support in paper and book publication.

Key Responsibilities:

• Conducting literature study on risk management across multiple disciplines including engineering, business, humanity and arts.
• Collecting industry data and compiling case studies involving risk management in a cross-cultural environment.
• Developing integrated risk management framework
• Developing risk analysis models
• Preparing research papers
• Assist in book publication

Job Requirements:

• Education qualifications: Bachelor/Master's degree in System Analysis
• Soft skills: strong communication skills, project management skills
• Hard skills: risk modeling
• Experience: working/internship experience in a multicultural environment to support industry data collection and case studies for a cross-cultural environment
• Competencies: fast learning capabilities, adaptable to different cultural contexts.

We regret to inform you that only shortlisted candidates will be notified.

Hiring Institution: NTU