The eVTOL Research and Innovation Centre at School of Mechanical & Aerospace Engineering (MAE), Nanyang Technological University, Singapore, is looking for a Research Fellow in the area of Aero Performance.

Key Responsibilities:

• Conduct cutting-edge research in aerodynamics and aeroelasticity using computational tools to push the boundaries of overall aircraft performances.

• Lead research initiatives to optimize overall aero performance and aerodynamic and structural efficiency.

• Contribute to the development of innovative strategies to enhance aircraft performance envelopes.

• Conduct advanced research on the aeroelastic behaviour of aircraft structures, ensuring stability and control under various aerodynamic loads.

• Analyse and interpret experimental and flight test data to contribute to the development of high-performance aircraft.

• Collaborate with a diverse team of researchers, engineers, and scientists to foster an interdisciplinary approach to aerospace research.

• Participate in collaborative research projects and contribute insights to improve overall aircraft performance.

• Document research methodologies, results, and insights in comprehensive reports.

Job Requirements:

• Ph.D. in Aerospace Engineering, Mechanical Engineering, or any related field.

• Proven research experience in aerodynamics, aero performance optimization, and aeroelasticity.

• Expertise in CFD tools, finite element analysis, and advanced engineering research methodologies. E.g. ANSYS, NASTRAN, etc.

• Strong publication record in relevant research journals.

• In-depth understanding of aircraft design principles and performance factors.

• Excellent analytical and problem-solving skills.

• Fluent English skill is a must.

We regret that only shortlisted candidates will be notified.

Division of Mathematical Sciences (MAS) in School of Physical and Mathematical Sciences (SPMS) is looking for a candidate to join them as a Research Fellow.

The College of Science seeks a diverse and inclusive workforce and is committed to equality of opportunity. We welcome applications from all and recruit on the basis of merit, regardless of age, race, gender, religion, marital status and family responsibilities, or disability.

Key Responsibilities:

• Development of stochastic and analytical methods for nonlinear partial differential equations

• Implementation of relevant numerical experiments using deep learning algorithms

Job Requirements:

• PhD degree in (applied) mathematics

• Relevant research experience in stochastic analysis and/or partial differential equations, Python coding

• Enthusiasm, good communication skills, and being able to conduct independent research

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