Interested applicants are invited to apply directly at the NUS Career Portal

Your application will be processed only if you apply via NUS Career Portal

We regret that only shortlisted candidates will be notified.

Job Description

At NUS, we are at the forefront of clean energy innovation, focusing on advanced technologies for sustainable hydrogen production. We are seeking a talented and experienced Membrane Specialist to join our team and contribute to the development of cutting-edge membrane solutions for hydrogen production and separation processes.

Key Responsibilities:

• Design, develop, and optimize membranes for hydrogen separation, purification, and production applications.
• Conduct research on new membrane materials (e.g., polymeric, ceramic, composite) and their application in hydrogen fuel cell and electrolysis systems.
• Oversee membrane testing, characterization (SEM, XRD, FTIR, etc.), and performance evaluations.
• Collaborate with R&D teams to scale up membrane technologies from lab to pilot and industrial scale.
• Provide technical insights into membrane degradation, durability, and efficiency improvements.
• Support cross-functional teams in the integration of membranes into hydrogen production units.
• Stay updated on the latest developments and innovations in membrane technology and hydrogen production.

Qualifications

• Ph.D. in Chemical Engineering, Material Science, or related fields with a focus on membrane technology.
• Proven experience (3+ years) in membrane design and development, specifically for gas separation or hydrogen-related applications.
• Strong understanding of hydrogen production technologies such as water electrolysis, methane reforming, or fuel cells.
• Proficiency in membrane characterization techniques (SEM, TEM, XRD, FTIR, etc.).
• Ability to collaborate effectively in a multidisciplinary team environment.
• Strong analytical, problem-solving, and project management skills.

This Supervisory Training Specialist position is located at Chicago Midway Airport (MDW), Transportation Security Administration, Department of Homeland Security (DHS). If selected for this position, you will serve as a liaison concerning training matters between the Federal Security Director (FSD) and TSA Headquarters, including the Office of Training and Development (OTD) and the Headquarters Aviation Programs Office. As a Supervisory Training Specialist, you will supervise employees performing training work, manage projects within assigned resources, and resolve routine problems that impact the objectives of the organization unit. Typical duties include, but are not limited to:

• Assisting in the planning, directing, scheduling, and evaluation and integration of training and professional development products and services with the airport environment. Promoting the availability of these products and services to the workforce in accordance with the OTD's strategic training direction.
• Serving as a resource to the Federal Security Director management staff with regard to coordinating plans, programs, standards and procedures governing airport-wide training, career development, screener recertification, and screener performance improvement programs and activities.
• Providing advice and guidance to the FSD management staff pertinent to the training needs and workforce performance improvement programs generated in support of the airport functions.
• Assisting with briefings for senior-level management and staff on training and development issues. Ensuring that training products respond to TSA goals and objectives.
• Documenting training activities and accomplishments and ensuring the currency of training database and materials. Assisting in managing instructors.
• Scheduling new hire training.
• Acting as a TSA Approved Instructor (TAI) or Test Administrator.

This Training Specialist position is located at Memphis International Airport (MEM), Transportation Security Administration, Department of Homeland Security (DHS). If selected for this position, you will serve as a liaison concerning training matters between the Federal Security Director and the TSA Headquarters, including the Office of Workforce Performance and Training and the Aviation Programs Office. As a resource to the Federal Security Director's staff, you will assist in planning, directing, scheduling, evaluation and integration of training and professional services to the workforce. This includes coordinating plans, programs, standards, and procedures governing airport-wide training and professional development products and services. Duties include but are not limited to:

• Assisting in scheduling, evaluating and facilitating training, screener recertification, and screener performance improvement activities within the airport.
• Assisting in providing advice and guidance to the Federal Security Director's staff pertinent to the training and career development needs and programs.
• Maintaining training database and files; document training activities/accomplishments in web-based learning management system.
• Assisting with keeping current on employees training status, and distributing information about upcoming training opportunities as necessary.
• Assisting in managing instructors; this could include working with TSA Approved Instructors (TAI), supporting the identification of individuals appropriate to provide screener on-the-job training, and coordinating with contractors who conduct training.
• Acting as TAI or Test Administrator.
• Scheduling new hire training.

This Operations Research Analyst position is located Security Operations, Administrative Services, Transportation Security Administration, Department of Homeland Security (DHS). Duties include but are not limited to:

• Applies experience and advanced technical know ledge of operations research analysis to lead complex analyses and small studies on a quantitative or qualitative basis, formulate overall concepts, evaluate findings, and recommend solutions for determining the effectiveness of field program or operations to meet established goals, measures, and objectives.
• Plans, coordinates, and conducts analytical studies using large volumes of data to projects the likelihood of a terrorist attack and leverages analytical results to improve programmatic operations.
• Participates in the selection and application of mathematics, economics, econometrics, and statistics appropriate to conducting Risk Analytics.
• Provides technical guidance and coordinates efforts involved in carrying out various aspects of assignments, the design of samples and experiments, and the design of evaluation and program monitoring techniques. Monitors, evaluates, and documents the results of work activities and prepares final recommendations.
• Participates in meetings, briefings, presentations, and conferences with other management officials to discuss major program changes, performance metrics, projects milestones, formulates, executives and justifications to influence decisions and provide guidance.
• Identifies mathematical applications to improve existing programs, determines types of data to be collected, formulates study methodologies, and assists functional activities in the implementation of operational segments and data analysis.

Responsibilities

• Developing new product according to development requests and involve in improvement of existing products
• Developing application recipes to optimize product design for new and existing products
• Look out for new trends and new products in the market
• Responsible for developing prototypes for customer in a given time frame
• Evaluation of new ingredient submissions
• Conduct food tasting and sensory evaluation
• Maintain proper documentation to support costing, lab scale formulation of new and existing products and any supporting documents.
• Work closely with inter-departments on the development and launch of new or improved recipes
• Perform ad-hoc duties assigned by immediate superior

Job Requirements

• Recognised culinary qualification or similar discipline
• At least 2 - 5 year of relevant experience in restaurant/ hotel business/ food manufacturing industry
• Experience in different Asian cuisine, bakery and Dim Sum would be useful for daily R&D work
• Passionate about food product development
• Creative in food preparation and presentation
• Meticulous with good organizational skills
• Team player with good interpersonal skills
• Proficient with Microsoft Office
• Proficient in Mandarin and English (spoken and written) as need to liaise daily with Mandarin and English speaking associates

[Order Number: 703188]

Our client is seeking a passionate individual with prior production, planning or operations experience in creating and developing English education contents specifically for children. Furthermore, candidates with project management experience will be ideal.

Responsibilities

• The main job scope is to produce English education contents (such as videos and cartoon characters) for children.
• Job scope is split into: 70% project management; 30% hands on production (contents development):
• Plan and manage ESL (English as Second Language) contents development project and all of its progress as a team leader
• Oversee and review contents production
• Direct video contents and storyboard
• Conduct Weekly and monthly report of the project progress & Budgeting
• Liaise and communicate the content deliverables with clients
• Conduct Project reviewing & Monthly goal setting based on the reviewing

Requirements

• At least 3 years of production/operations/planning experience for English language education contents
• Minimally a Diploma in Media Design, Mass Communication, Marketing or the equivalent
• Singaporeans only
• It will be highly advantageous to possess a great track record of project management experience
• Experience in video production for YouTube platform will be highly advantageous
• It will be an added advantage to possess proficiency in Korean language to liaise with Korean-speaking clients (not a requirement)

We regret that only shortlisted candidates will be notified.

However, rest assured that all applications will be updated to our resume bank for future opportunities.

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EA Personnel Name: Yap Zia Xin

EA Personnel Reg. No.: R22109263

EA Licence No.: 07C5771

Interested applicants are invited to apply directly at the NUS Career Portal

Your application will be processed only if you apply via NUS Career Portal

We regret that only shortlisted candidates will be notified.

Job Description

The hire will focus on computational modelling of metal 3D Printing. The initial contract may be ~ 1.5 years, and can be renewed later.

Qualifications

The candidate is required to have expertise in simulation of 3D printing. The candidate should have a PhD degree on relevant areas, e.g., mechanical engineering, materials science. The candidate is expected to complete high-quality systematic research works.

Interested applicants are invited to apply directly at the NUS Career Portal

Your application will be processed only if you apply via NUS Career Portal

We regret that only shortlisted candidates will be notified.

Job Description

The hire will focus on computational modelling of metal 3D Printing. The initial contract may be ~ 1.5 years, and can be renewed later.

Qualifications

The candidate is required to have expertise in simulation of 3D printing. The candidate should have a PhD degree on relevant areas, e.g., mechanical engineering, materials science. The candidate is expected to complete high-quality systematic research works.

Interested applicants are invited to apply directly at the NUS Career Portal

Your application will be processed only if you apply via NUS Career Portal

We regret that only shortlisted candidates will be notified.

Job Description

The hire will focus on computational modelling of metal 3D Printing. The initial contract may be ~ 1.5 years, and can be renewed later.

Qualifications

The candidate is required to have expertise in simulation of 3D printing. The candidate should have a PhD degree on relevant areas, e.g., mechanical engineering, materials science. The candidate is expected to complete high-quality systematic research works.

Under the Air Traffic Management Research Institute (ATMRI) (http://atmri.ntu.edu.sg/), Nanyang Technological University, you will be part of a research team to study the use of Artificial Intelligence and Data Analytics in Air Traffic Management Systems. The selected candidate will work on developing innovative machine learning models to address key challenges in the future airspace system, including traffic prediction, optimization, and safety enhancements.

Key Responsibilities:

• Develop and implement machine learning models for air traffic prediction, flow management, and conflict detection.
• Apply deep learning, reinforcement learning, and other advanced AI techniques to improve decision-making in ATM systems.
• Work with real-time and historical air traffic data (e.g., ADS-B) to build predictive models for air traffic demand and capacity.
• Collaborate with a team of researchers and engineers to integrate machine learning models into ATM decision support systems.
• Analyze the performance of machine learning models and optimize their scalability for real-world airspace management applications.
• Participate in project meetings, prepare research reports, and contribute to publications in top-tier academic conferences and journals.
• Assist in the preparation of project proposals and technical documentation.

Job Requirements:

• Master's degree in Transportation or Aerospace Engineering.
• ATM background, previously participated in basic ATM training.
• Evidence of developing Machine Learning and Optimization models for ATM system.
• Strong programming skills in Python.
• Good writing and communication skills.
• Independent and team player.

We regret that only shortlisted candidates will be notified.

Interested applicants are invited to apply directly at the NUS Career Portal.

Your application will be processed only if you apply via NUS Career Portal.

We regret that only shortlisted candidates will be notified.

Job Description

We have an opening for a Research Fellow (Transportation) in areas related to traffic operations, traffic control, simulation, and connected and automated vehicles (CAVs). Specifically, we expect the selected candidate to lead and pursue high-quality research on intelligent transportation systems, including but not limited to (1) traffic flow theory, (2) traffic control in urban and highway contexts, (3) vehicle dynamics and control, (4) optimization of transportation infrastructure, and (5) data privacy and security. In addition to research, the selected candidate is expected to help draft research proposals and supervise graduate and undergraduate students.

Qualifications

• Possess a PhD in Civil Engineering, Mechanical Engineering, Electrical Engineering, or other closely related fields.
• Research experience in Intelligent Transportation Systems with excellent publication record.
• Good programming and analytical skills.
• Expertise in control theory, optimization, game theory, and machine learning is highly preferable.
• Good technical proposal writing and presentation skills.
• Able to plan and organize well and adhere to the deadline.
• Able to perform research in a multidisciplinary team,
• Open to fixed-term contract