Total 13 product management job vacancies in Education / Training category in SG - Tuas, Singapore

School of Art, Design and Media is looking for a candidate to join them as a Research Assistant.

As a Product Designer, you will play a critical role in creating 3D wearable prototypes. You will lead design projects from concept to completion, creating product prototypes in close collaboration with the project manager. The ideal candidate has a strong understanding of design principles, and best practices, materials, and manufacturing techniques, with a passion for creating unique products.

Key Responsibilities

• Create and define a 3D wearable product based on specific requirements.
• Conduct user research, analyzing user feedback and usage data to identify key opportunities for product enhancement and innovation.
• Responsible for digitally visualizing design concepts and user interactions and/or creating 3D mock-ups and prototypes via renderings.
• Prepare technical drawings and specifications for production and communicate with manufacturers and suppliers for product execution.
• Understand best practices and emerging technologies by applying new learnings to the assigned work.
• Be able to make decisions on sustainable materials and finishing of the design proposals.
• Lead the end-to-end design process for new products, from concept ideation to final production.
• Develop detailed sketches, 3D models, and prototypes for wearables.
• Select appropriate materials to achieve desired aesthetics, functionality, and quality standards.
• Manage project timelines and milestones, ensuring all design projects are delivered on time and within budget.

Job Requirements

• Bachelor of Fine Art or Bachelor Degree in product design, demonstrating a track record of delivering impactful physical products or features from concept to launch, or graduates with a focus on product design skills.
• Exceptional visual design skills with a proven track record.
• Proficiency in prototyping tools to effectively demonstrate design concepts and user interactions.
• Experience in conducting user research and translating research insights into product features that had a proven impact
• Strong communication skills and independence.
• Capability of articulating design decisions clearly and effectively.

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

The School of Civil and Environmental Engineering (CEE) is a leading school for Sustainable Built Environment. The school plays an integral role in spearheading tertiary education, advancing research innovations and providing professional services in a number of key disciplines in Civil and Environmental Engineering and Maritime Studies fields, with the objective of contributing to the technological and economic advancement of Singapore and beyond. The school’s mission in research is to achieve excellence by providing a conducive and intellectually stimulating environment to enable high quality work in strategic directions that are of significant impact to industry, science and technology.

We're hiring a Research Associate/Research Fellow to be part of our project in developing a software that employs artificial intelligence to manage ship and crew risks.

Key Responsibilities:

The Research Associate/Research Fellow will work on a project to conduct the research on development of an AI-Driven Ship Safety Management System. The roles of this position include:

• Develop an AI-driven software to manage ship and crew risks
• Conduct data analysis on the mental and physiological well-being of seafarers
• Develop data-driven methods and models to predict and assess the health of seafarers
• Integrate the developed models and indexes into an online system
• Contribute to manuscript writing, policy paper writing and patent applications related to the project

Job Requirements:

• Master’s Degree (for Research Associate) or PhD Degree (for Research Fellow) in Software Engineering, Data Science, Risk Management, Maritime Studies or related field
• Expertise in any of the following skills, priority will be given to those who have multiple skills: Software development and packaging, Machine learning and data analysis and Prior research experience in occupational health and safety
• Knowledge in the maritime industry is an advantage
• Publication track record is an advantage
• Patent application experience is an advantage
• Proficiency in English and programming - essential for data analysis and communication with stakeholders

We regret that only shortlisted candidates will be notified.

Full-time Salary: SGD 4,500 - SGD 6,500

Part-time Hourly Rate: Starting from SGD 20 per hour

Job responsibilities mainly include but are not limited to the following:

Research Directions: Strategic design, value innovation, strategic execution; products, talent, users; marketing, performance, finance.

1. Approx. 40% Enterprise Case Studies: Collecting, coding, analyzing data, conducting research on target case enterprises, interviewing corporate executives, writing case study reports. Reports include but not limited to literature reviews, information or data on case enterprises per module, summarized methodologies and tools, and corresponding knowledge points.
2. Approx. 40% Teaching Assistance: Includes course development and design, educational tools and materials preparation.
3. Approx.10% Coordination: Assisting in liaising and coordinating with international scholars, and Fortune 500 company management team’ interviews and speeches.
4. Approx.5% Operations Assistance: Includes organizing forums, conferences, and seminars.
5. Approx. 5% Necessary Administrative Assistance: Includes budgeting and communication, etc.

Essential Requirements:

1. Degree in Management/Business, familiar with operational management, management science, data science, etc.
2. Excellent written skills in English or Chinese, with publications in business/management papers, blogs, articles, or other forms of media.
3. Able to independently conduct qualitative research (case analysis, interviews, content analysis) and quantitative research.
4. Skilled in data analysis and financial statement analysis.
5. Proficient in PowerPoint, Word, Excel, and other office software.
6. Part-time candidates must be able to work more than 24 hours per week.

Preferred Qualifications:

1. Familiar with business school case teaching or;
2. Individuals with business and management work experience, especially those with over three years of experience in Fortune 500 companies;
3. Familiar with big data analysis, quantitative research methods including data collection, cleaning, and analysis. Experience using quantitative analysis software like Stata, SAS, R, and Python. Knowledge of machine learning (supervised, unsupervised, and reinforcement) and web scraping. Familiarity with Wind database is a plus.
4. Postgraduate degree or above.
5. Singaporean or Malaysian citizens.

The Research Fellow will be a key member of the project team on Distributed Energy Resource Management System focusing on power/energy optimization algorithm development and deployment.

Key Responsibilities:

• Design & develop constraint optimization algorithms/tools for DERs deployment and planning with support functionalities.
• Constrained optimization problem formulations the following: convex optimization, dynamic programming, NLP, MILP and MINLP.
• Mathematical modelling of the system-level and device-level constraints of distribution networks with DERs and conduct hardware-in-the-loop (HIL) simulations using OPAL-RT.
• Applications of stochastic programming/approximate dynamic programming approach.
• Implementation of distribution and probability power-flow methods for DER-rich networks for enhanced system flexibility
• Modelling of DER-based integrated grid ancillary services that maintain reliability and stability

Job Requirements:

• Ph.D. in Electrical/Computer Engineering specialized in Power Systems Planning and Optimization
• At least 2 years of postdoc research experience in Distribution Energy Resource Integration and power system.
• Working knowledge in medium and low voltage network modelling, power-flow, and large-scale optimization involving convex optimization, dynamic programming, NLP, MILP and MINLP.
• Working knowledge in data analysis for clustering and classification
• Ability to work cohesively in an international team to drive the common project objectives.
• Ability to communicate well in English and to present research ideas and findings clearly and concisely

We regret that only shortlisted candidates will be notified.

The School of Civil and Environmental Engineering (CEE) is looking for a candidate to join them as a Research Associate.

The research associate will work on a project to conduct the research on development of public trust and acceptance in future intelligent vehicles.

Key Responsibilities:

• Assist in experiment and questionnaire design
• Develop multinomial logit models for intelligent vehicles
• Conduct data analysis of public trust and acceptance in intelligent vehicles
• Formulate strategies to promote human-machine cooperation
• Responsible for manuscript preparation

Job Requirements:

• Master’s Degree in Transportation Management, Supply Chain & Logistics Management, Economics, Data Science or related field
• Expertise in survey design
• Proficient in statistical modelling and econometrics
• Research on the human-machine interaction of intelligent vehicles
• Prepare and publish research papers on top journals
• Knowledge in the transport industry is an advantage
• Good publication track record is an advantage
• Proficiency in English is an advantage for data analysis

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

Key Responsibilities

· Conduct training sessions and classes in alignment with established curriculum guidelines.

· Employ diverse teaching methods and strategies to accommodate various learning styles effectively.

· Cultivate active participation and engagement among adult learners.

· Stimulate critical thinking, problem-solving, and collaborative learning environments.

· Address participant inquiries, concerns, and needs promptly and efficiently.

· Develop and administer assessments to evaluate participant understanding and progress accurately.

· Provide constructive feedback and guidance to foster participant development.

· Evaluate and enhance the effectiveness of training materials and content based on participant feedback and emerging educational trends.

· Maintain precise records of participant attendance, progress, and performance.

· Compile and submit requisite reports and documentation promptly.

· Stay updated on adult education methodologies, techniques, and best practices.

· Participate in training and development opportunities to refine teaching skills continually.

· Conduct sales and marketing activities as necessary to promote courses.

· Assist in managing course registration using the company's Training Management System.

· Ensure the classroom environment is conducive before the commencement of each session.

· Collaborate closely with the Training Manager on training and development initiatives.

· Undertake any additional ad-hoc tasks related to training and development as directed by the Training Manager.

Qualifications

· 1-2 years of relevant work experience (Preference for experience in a Registered Training Provider environment).

· Possession of ACTA/ ACLP qualification.

· Proficiency in Microsoft Office applications.

· Highly motivated individual with a strong work ethic and sense of responsibility.

· Outstanding organizational skills.

· Resilient with a positive mindset and a solution-focused approach.

· Willingness to learn and adapt to new challenges.

NTU-PKU Joint Research Institute mainly focus on joint research in Multi-Modal Big Data Analytics for Smart Cities. The research will support Singapore’s Smart Nation vision that harnesses technology and data to improve living standards, strengthen communities, and create more business opportunities.

The project involves the use of deep learning for object detection, human pose estimation, and 3D face modeling & simulation.

The Senior Research Engineer will be responsible for the development of Computer Vision solutions, as well as planning, implementing, and management of GPU computing infrastructure for research on Computer Vision, Image Processing, and Multimedia Forensics.

Key Responsibilities:

• Working in research teams on Computer Vision projects in object detection, action & event recognition, and scene understanding
• Design, implementation, and management of the GPU computing infrastructure for ROSE Lab
• Hardware installation, and module level failure diagnosis and repair, as well as liaison and management of vendors for systems, storage, network, and server room facilities

Job Requirements:

• Bachelors degree in Computer Science and/or Engineering, or related field
• At least 10-years’ experience in Computer Vision, Linux systems and NVIDIA GPU management and related areas
• Research experience in Computer Vision, Pattern Recognition, Deep Learning, and working with large-scale datasets, in particular in a university or research lab
• Proficiency in systems such as Linux (Ubuntu, centos), shell scripting, Docker, NFS and MooseFS, is mandatory.
• Proficiency in software such as Caffe, PyTorch, TensorFlow, OpenCV, and programming languages such as C/C++ and Python is essential.
• Knowledge of GPU computing, CUDA programming, optimization (eg. with TensorRT), and industry experience in engineering software development would be a strong advantage.
• Good inter-personal skills, with the ability to work with people from varied backgrounds

We regret that only shortlisted candidates will be notified.

Established in 1981, the School of Electrical and Electronic Engineering (EEE) https://www.ntu.edu.sg/eee is one of the founding Schools of the Nanyang Technological University. Built on a culture of excellence, the School is renowned for its high academic standards and research. It is one of the largest EEE schools in the world, with more than 130 faculty members and an enrolment of more than 4,000, of which about 1,000 are graduate students.

We invite applications for the position of Assistant Director/Senior Assistant Director. Reporting to Associate Chair Research (ACR) in the School of Electrical and Electronic Engineering (EEE), the incumbent shall provide leadership and is responsible for the planning, promotion, and strategic development of research collaborations with internal stakeholders and external partners including industry, institutions, and government agencies.

Responsibilities

• Lead strategic development with industry partners
• Execute EEE’s strategy in industry engagement and development
• Facilitate new initiatives in EEE in entrepreneurship and innovation
• Provide strategic technical support to faculty on research proposals
• Perform industry/technology/IP study
• Prepare research proposals with faculty
• Act as point of contact with government agencies and companies
• Lead in other strategic College and School level proposals and communications

Requirements:

• At least a Master’s degree in Science, Technology, Engineering, and Mathematics (STEM) disciplines from a recognized university.
• Minimum 10 years of relevant working experience in a senior management position, preferably from the tertiary education industry or relevant research industries. For a PhD degree holder, this working experience requirement can be mitigated.
• Must have a good knowledge of Intellectual Property.
• Have a proven track record of close working experience with multiple government agencies and companies or must be comfortable in approaching government agencies and companies.
• Good knowledge of Intellectual Property and experience on Project Management in a R&D setting.
• Excellent Writing Skills with some research technical experience.
• Strategic Thinking and Analytical Skills.
• Strong Leadership, Collaboration Skills, and Problem-Solving Skills.

Job Description

The Continental-NTU Corporate Lab: Future-Oriented Continental Urban Society (FOCUS) Lab invites applications for the position of Research Fellow.

Continental-NTU Corporate Lab is a S$50 million joint corporate laboratory between NTU and Continental that focuses on developing technologically advanced solutions in the areas such as autonomous robotics, navigation, artificial intelligence (AI), cybersecurity, smart materials, sensing, communication, and cloud technologies for future urban mobility applications. We aim to accelerate innovation in Singapore’s automotive industry and translate research outcomes into practical and viable urban mobility solutions for the future.

Key Responsibilities:

• Develop optimization, game theory, or AI methods for multi-robot coordination and fleet management.
• Conduct simulation assessment and demo of the developed methods.
• Write the research results into publication manuscripts, patents, and/or project reports.

Job Requirements:

• PhD in Optimization and game theory, or Control, or AI, or Robotics.
• Have at least 1 first-author publication in top-tier journals in related areas.
• Good interpersonal skills.
• Good communication and writing in English.
• Good teamwork awareness.

We regret that only shortlisted candidates will be notified.

Continental-NTU Corp Lab invites applications for the position of Research Fellow.

Key Responsibilities:

• Develop fault analysis, robustness analysis, optimization, learning, coordination, and/or management solutions to support multi-robot coordination and fleet management
• Programming and testing of the developed models, algorithms, and methods
• Write the research results into publication manuscripts and project reports
• Contribute to project reporting and demonstration

Job Requirements:

• PhD in Electrical Engineering, or Automation, or Computer Science and Engineering, or related disciplines from a prestigious university
• Have at least 1 first-author publication in top-tier journal
• Knowledge in at least one of the following topics: fault analysis, robustness analysis, multi-robot coordination, fleet management, optimization and learning, or robotics
• Good simulation and programming skills
• Good interpersonal skills
• Good communication and writing in English

We regret that only shortlisted candidates will be notified.

The School of Electrical and Electronic Engineering (NTU EEE) invites applications for the position of Research Associate. 

The eVTOL Research and Innovation Centre at Nanyang Technological University, Singapore, is looking for a strong candidate in the area of Thermal Management Systems.

Key Responsibilities:

• Lead the design and integration of thermal management systems for eVTOL aircraft, considering the unique challenges of electric propulsion and aerodynamics.

• Develop and implement strategies for efficient heat dissipation from critical components, including electric motors, inverters, and battery systems.

• Conduct thermal analysis and simulation to model and predict heat generation and dissipation within the aircraft systems under various flight conditions.

• Manage suppliers to select appropriate materials for thermal insulation and heat shielding, considering weight, durability, and thermal conductivity.

• Implement thermal barrier solutions to protect batteries from extreme temperatures.

• Develop and conduct lab tests, ground tests and flight tests to validate thermal management system performance under different operational scenarios.

• Generate detailed technical documentation, including specifications, thermal analysis reports, etc.

Job Requirements:

• Master’s degree in Electrical Engineering, Aerospace Engineering, or related field.

• Proven experience in thermal management system design for electric vehicles, aircraft, or similar applications.

• Proficiency in thermal analysis tools and simulation software.

• Knowledge of heat dissipation techniques, fluid dynamics, and thermodynamics.

• Strong problem-solving and analytical skills.

• Fluent English skill is a must.

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 Associate in the area of Battery Management.

Key Responsibilities:

• Lead the design of advanced battery systems for electric vertical take-off and landing aircraft.

• Develop and implement state-of-the-art Battery Management Systems (BMS) to monitor, control, and protect battery packs.

• Ensure BMS functionality aligns with the unique operational requirements of electric vertical take-off and landing aircraft.

• Conduct thorough analysis of battery performance, including energy density, thermal management, and charging/discharging characteristics.

• Plan and conduct battery system lab test, ground test and flight test to assess battery performance under various flight conditions, including take-off, landing, and emergency scenarios.

• Conduct failure mode and effect analysis to identify potential risks and develop strategies to mitigate them.

• Manage and guide BMS supplier to fulfil industry standards and compliance.

• Generate detailed technical documentation, including specifications, schematics, and test reports.

Job Requirements:

• Master’s degree in electrical engineering, aerospace engineering or related field.

• Proven experience in the design and development of battery systems for electric vehicles or aerospace applications.

• Expertise in Battery Management Systems (BMS) and battery technology.

• Strong knowledge of industry standards and regulations related to battery management.

• Experience with simulation tools, testing methodologies, and data analysis.

• Excellent problem-solving and communication skills.

• Fluent English skill is a must.

We regret that only shortlisted candidates will be notified.
 

The candidate will work on developing an intelligent and sustainable Energy Management System (EMS) for Residential Air Conditioning (RAC). The candidate will assist in:

• Developing learning-based algorithms to optimize RAC operations based on energy cost, PV energy generation, and comfort requirements.
• Developing predictive models.
• Conducting and evaluating the control strategies in case studies.