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

Key Responsibilities:

• Lead the design and development of both high voltage and low voltage power systems for eVTOL aircraft, ensuring compliance with industry standards and safety regulations.

• Identify and select appropriate high and low voltage components, such as circuit breakers, control panels, and converters, considering efficiency, reliability, and weight constraints.

• Develop detailed specifications for electrical system, working closely with harness and electrical component suppliers, provide technical guidance and support to ensure compliance with design requirements.

• Design the electrical schematic drawings for eVTOL.

• Guide the EWIS supplier to design high and low voltage harness drawings.

• Manage and ensure the product to fulfil industry standards and compliance.

• Plan and conduct harness ATS testing with elections.

• Plan and conduct lab test, ground test and flight test of the electrical system.

• Document the description, electrical load analysis, test plan and environment test report for electrical system.

Job Requirements:

• Bachelor’s or master’s degree in electrical engineering, aerospace Engineering, or related field.

• Proven experience in designing high voltage power systems for automobile or aircraft.

• In-depth knowledge of electrical system architecture and components, with a focus on high voltage applications.

• Familiar with AS50881H, AIR6127 standards.

• Experience with aviation certification processes is a plus.

• Excellent problem-solving and communication skills.

• Fluent English skill is a must.

We regret that only shortlisted candidates will be notified.
 

As a part of the NRF Fellowship Project on Materials-by-Design, School of Materials Science & Engineering (MSE) is looking to hire a Research Assistant with expertise in high-throughput synthesis of inorganic materials and optimization using machine learning. The Research Assistant will build upon our team’s experience toward developing high-throughput experimental platforms for synthesis, characterization and functional performance testing (thermoelectric performance, catalytic performance) of a library of materials.  The Research Assistant will focus on synthesizing and characterizing inorganic materials, specifically inorganic chalcogenides for thermoelectrics and metal alloy catalysts for CO2 reduction.

Additionally, the Research Assistant will conduct in-depth structural and elemental characterization and analysis of the materials using XRD, SEM-EDX and XPS. Finally, thermoelectric measurements experiments will be conducted. The Research Assistant should be able to utilize design-of-experiments and high-throughput experimental workflows. In addition, materials science and metallurgical concepts such as phase diagrams, mapping and separating different phases and oxidation states of compounds and rapid structural analysis are required. Finally, machine learning will be applied to guide experimental campaigns.

Key responsibilities:

• Conduct synthesis of inorganic thermoelectric materials using various high-throughput synthesis techniques.

• High-throughput synthesis of materials for CO2 reduction will also be conducted.

• Develop new high-throughput methods, and accordingly modify hardware for their execution.

• Perform in-depth characterization of synthesized materials using XRD, SEM, and EDS.

• Deploy machine learning techniques to guide future experimental campaigns. In addition to regression methods (Gradient Boosting, Random Forest) it is desirable to be familiar with Bayesian Optimization.

Job Requirement

• Bachelors or Masters in Materials Science, Chemistry, Physics, Applied Physics, Electrical Engineering or Mechanical Engineering with research experience in synthesis and lab skills

• Experience in inorganic synthesis of nanomaterials and solid-state compounds.

• Experience in advanced analysis of X-ray diffraction e.g. through Rietveld refinement

• Knowledge of Bayesian Optimization

• Ability to work in a team with clear communication skills and to develop own ideas in 1-2 years' time.

• A can-do attitude in a fast-paced research environment.

We regret that only shortlisted candidates will be notified.

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.