Total 25 system analyst job vacancies in Education / Training category in D22 Jurong, Jurong Island, Tuas

The School of Materials Science and Engineering continue to equip researchers with the latest scientific and technological skills sets much needed by the industry, the School has evolved into a hub of excellence in its niche areas of research. As part of NTU’s College of Engineering, MSE is now recognised worldwide as a premier research institution with top universities, multinational corporations and R&D institutions as its research collaborators and funding partners.

Key Responsibilities:

• Electrochemical process on interface phenomena
• Battery testing under different conditions
• Simulation of scaled up process
• Interface with machine learning group on data base set up
• Battery safety testing

Job Requirements:

• Ph.D in chemistry/ Materials Science/physics
• Candidates with strong background in Materials chemistry/Physical chemistry
• Experience on energy storage system or electrochemical system (Batteries)
• Encourage initiating activities on battery development, devising, and analytic process
• Experience on machine learning will be preferred
• Good command of oral and written English
• Candidate with strong publication/patent records will be preferred

We regret that only shortlisted candidates will be notified.

The S. Rajaratnam School of International Studies (RSIS), a Graduate School of Nanyang Technological University (NTU), is a leading research-intensive and teaching institution in strategic and international affairs and policy-oriented think tank in the Asia-Pacific region.

RSIS is seeking suitable candidates for the position of Research Fellow/ Associate Research Fellow/ Senior Analyst/ Research Analyst in the Maritime Security Programme. The successful applicant is expected to contribute to the Programme through doing research, data management and publication on maritime security issues. In addition, the successful applicant will assist with arranging courses, seminars, conferences and workshops for the programme. The successful candidate should possess at least a Master degree in a relevant field and possess aptitude, interest and commitment for in-depth research, able to work independently, fluent in English with good writing and research skills.

All applicants should submit the following:

• A cover letter specifying how your qualifications match the job description;
• A detailed curriculum vitae;
• 2 published articles or writing samples; and
• 2 reference letters.

We regret that only shortlisted candidates will be notified.

For further information about RSIS, please visit our website: www.rsis.edu.sg.

The Cloud Application and Platform Group (CAP) Group from Nanyang Technological University, Singapore, is seeking 1 motivated research fellow in the topic of “Digital Twin for Advanced Battery Analytics”.

Key Responsibilities:

• Developing physics-based and data-driven models to characterize battery electrochemical process;
• Supervising junior graduate students;
• Writing technical reports, including papers, patents and technical disclosures;
• Working closely with team members/engineers and assist in developing new features;
• Ensuring responsiveness of applications;
• Assisting in the expansion of research output through increased paper publication;
• Diagnosing the issue and resolving it on demand.

Job Requirements:

• PhD Degree in Computer Science, Computer Engineering, Electrical Engineering, Information System or a related discipline;
• Strong research record, preferably on top-tier computer science/engineering conferences;
• Proficiency with Python and relevant packages, like NumPy, Pandas, PyTorch or Tensorflow;
• Excellent verbal communication skills and good problem solving skills;
• Attention to detail.
• Fluent spoken and written English.

We regret that only shortlisted candidates will be notified.

The School of EEE invites applications for the position of Senior Research Engineer I (Satellite System Hardware).

The Research Engineer will work on a project to conduct the research on development of energy harvesting systems used in low power smart sensors for monitoring of buildings and bridges, as well as the integration of energy harvesters, power management circuit and monitoring sensors.

Key Responsibilities:

• Design and develop MCU/MPU/SOC platform.
• Analyze system requirements and generate modular specifications.
• Identify and qualify components for spacecraft operation.
• Build, test and modify prototypes.
• Circuit validation and system operational validation.
• Test and characterize circuits.
• Code and debug in embedded C.
• FPGA programming.
• Guide/design printed circuits to comply to EMC/EMI requirements.
• Work with team members to ensure smooth integration of various subsystems.
• Document all process and implementation.
• Manage tasks according to project schedule.
• Support the centre and project operation, such as satellite mission operation, satellite testing and student activities.
• Work on a project to conduct the research on development of energy harvesting systems used in low power smart sensors for monitoring of buildings and bridges.
• Work on integration of energy harvesters, power management circuit and monitoring sensors.

Job Requirements:

• Bachelor‘s degree and above in Electronic Engineering or related field from a reputable university.
• Diploma with good industry experience may also be considered.
• Experience in MCU/MPU/SOC embedded system platform design and programming.
• Good understanding and ability in analog and digital circuit design
• Proficient and good skill in pcb artwork such as Altium or Orcad.
• Knowledge of various embedded hardware and application systems.
• Experience in generation of design specification documentation, schematic capture, and circuit analysis and simulation.
• Experience with debugging tools such as bus and spectrum analyzer.
• Experience in CAN, SPI, I2C bus protocols.
• Able to multi-task and work in a dynamic environment.
• Fluent verbal and written communications in English.
• Complete full product life cycle knowledge is preferred.
• Experiences in FPGA, Analog or RF design is preferred.

We regret that only shortlisted candidates will be notified.

Hiring Institution: NTU

School of Electrical and Electronic Engineering (NTU EEE) invites applications for the position of Research Fellow. The research fellow will work on project on Li-ion battery ageing analysis and experiment testing.

Key Responsibilities:

• Perform experiment testing for Li-ion batteries
• Development of heath indicators based on the experiment testing data
• Development of machine learning models for battery health assessment and remaining useful life prediction

Job Requirements:

• PhD degree in Electrical Engineering or related field
• Expert knowledge in Li-ion batteries and machine learning techniques, as well experiment testing
• Research experience with battery ageing analysis, machine learning model development
• Excellent verbal and written communication skills in English
• Strong analytical and conceptual abilities
• Able to work independently and in a team to realize proposed research work
• Publication track record is an advantage
• Proficiency in basics of programming languages such as matlab and Python

We regret that only shortlisted candidates will be notified.

A Research Fellow position is currently available in the Nanyang Environment & Water Research Institute (NEWRI).

Key Responsibilities:

• Support research work in climate resilience for the coastal environment, particularly on hydrodynamic and sediment transport modelling in coastal waters with waves and currents
• Responsible for supervising the installation and maintenance of the buoy sensors and collection of wave data
• Develop original software for the modelling simulations and output visualization
• Perform experiments to validate the modelling results
• Summarize the findings in this project and lead the production of high-quality research reports

Job Requirements:

• PhD degree in Civil and Environmental Engineering or related disciplines
• At least 2 years of research experience in modelling of hydrodynamics and sediment transports in coastal waters, including development of original algorithms and software for the modelling simulations
• At least 4 years of experience in performing field and laboratory measurements of currents and waves in coastal waters
• Highly motivated individual who is able to work independently
• Good communication skills & team player
• Strong interest in research work, laboratory experiments and field work
• Highly driven, independent, and resourceful

We regret to inform 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 strong candidate as Senior Research Engineer I in the area of Flight Control System.

Key Responsibilities:

• Design, development, and integration of avionics systems for advanced eVTOL project, ensuring seamless integration of avionics components with other aircraft systems.
• Oversee the design and development of avionics hardware, including sensor integration and communication interface control.
• Design a new ground station together with the supplier to operate the eVTOL
• Manage software development for avionics systems, ensuring compliance with safety and performance standards.
• Develop and implement a testing plan to verify the functionality and reliability of avionics systems.
• Conduct system testing, and troubleshooting, and participate in flight testing as needed.
• Prepare and maintain comprehensive documentation, including technical specifications, test plans, test reports and operation manual.
• Manage suppliers, and communicate project status and technical information to both technical and non-technical stakeholders.

Job Requirements:

• Bachelor’s or master’s degree or Ph.D in aerospace engineering, Electrical Engineering, or a related field.
• Minimum 3 years experience in designing and implementing flight control systems for aircraft.
• Strong proficiency in control theory, dynamic modelling, and simulation tools.
• Familiar with DO 160, DO178 and DO254.
• Excellent problem-solving and analytical skills.
• Effective communication and teamwork abilities.
• Fluent English skill is a must.

We regret that only shortlisted candidates will be notified.

The School of Electrical and Electronics Engineering (EEE) invites applications for the position of Senior Research Fellow.

A Senior Research Fellow position is available at the School of Electrical and Electronics Engineering at Nanyang Technological University of Singapore for a swarm robotic project. We are seeking potential researchers in the area of localization and sensor fusion, especially applications of UWB together with other sensors such as camera in localizing the robotic swarm. Enthusiastic and self-motivated research candidates with strong publication record and research profile are welcome to apply.

The Senior Research Fellow will be responsible for undertaking in-depth research in the swarm robotic localization solution, and they should also ensure the solution can be implemented and demonstrated in real life.

Key Responsibilities:

• Design and develop new state-of-the-art localization and sensor fusion algorithms for robotic swarm system.
• Implement and conduct experiment to evaluate the performance in real life environment.
• Integrate solution with other work packages.
• Publish high-quality research papers with research outcomes in top-tier international journals and conferences.

Job Requirements:

• The candidate should have a PhD degree in Electrical and Electronic Engineering, Computer Engineering or related field, with at least 3 years of relevant experience.
• Candidates with strong publication record in relevant areas are encouraged to apply.
• A thorough knowledge of the research field of localization and sensor fusion is highly preferred.
• Experienced in using UWB and Camera.
• Experienced in ROS.
• Excellent interpersonal communication and presentation skills in English.

We regret that only shortlisted candidates will be notified.

NTU is leveraging learning analytics to improve teaching and learning as part of our Education Strategy 2025. This position is similar in nature to a business analyst but for advancing the use of data for teaching and learning purposes. The position is critical for developing a communication plan to get faculty and students buy-in on the learning analytics goals of the university. He or she would also be responsible for gathering faculty, students and schools’ teaching and learning needs, and translating the needs into meaningful learning analytics solutions. In addition, he or she is expected to have some technical competency in SQL, python and/or SharePoint, and to support the administration of key system Dataiku in compliance with the data and AI governance policy of the university.

Responsibilities

Communication, engagement and collaboration opportunities

• Conceptualise and execute a communication plan for learning analytics with various units in the university
• Engage students and support faculty champions to increase acceptance and adoption of learning analytics
• Communicate with end-users and analyse their business needs
• Manage and maintain the department website

Data management

• Support the data engineer in handling data request
• Manage the data science machine learning platform
• Work with director and data engineer to look into methods to ensure data and AI governance.

Project Management

• Provide support for learning analytics projects by helping to build dashboards and communications

Requirements

• Bachelor degree in Business Analytics or Data Science and related fields
• At least two years of experience as a business analyst or experiences working on data related project
• Prior experience working in a university setting is highly preferred
• Proficient in statistics,
• Some knowledge of machine learning approaches and AI approaches including discriminative and generative
• Some idea of the various data governance framework issued by PDPA
• Strong communication and networking skills
• Strong ability in translating user needs into a data science problem
• Good understanding of data science or analytics and governance
• Good technical skills such as python programming, system administration
• Experiences in developing dashboards and other visualization tools such as Qliksense and Power BI would be ideal

A research assistant position is available at the School of Electrical and Electronics Engineering at Nanyang Technological University of Singapore for a human-robot teaming project. We are seeking potential researchers in the area of localization and sensor fusion, especially applications of computer vision. Enthusiastic and self-motivated research candidates with strong publication record and research profile are welcome to apply.

The research assistant will be responsible for undertaking in-depth research in the human-robot teaming solution, and ensure the solution can be implemented and demonstrated in real life.

Key Responsibilities:

• Design and develop new state-of-the-art localization and sensor fusion algorithms for human-robot teaming.
• Implement and conduct experiment to evaluate the performance in real life environment.
• Integrate solution with other work packages.
• Publish high-quality research papers with research outcomes in top-tier international journals and conferences.

Job Requirements:

• The candidate should have a Bachelor degree in Electrical and Electronic Engineering, Computer Engineering or related field, with at least 3 years of relevant experience.
• Candidates with strong publication record in relevant areas are encouraged to apply.
• A thorough knowledge of the research field of localization and sensor fusion is highly preferred.
• Experienced in computer vision.
• Experienced in ROS.
• Excellent interpersonal communication and presentation skills in English.

We regret that only shortlisted candidates will be notified.

Centre for the Applications of Teaching & Learning Analytics for Students (ATLAS) is leveraging on learning analytics to improve teaching and learning as part of Education Strategy 2025. This position is similar in nature to a business analyst but for advancing the use of data for teaching and learning purposes. The position is critical for developing a communication plan to get faculty and students buy-in on the learning analytics goals of the university. He or she would also be responsible for gathering faculty, students and schools’ teaching and learning needs, and translating the needs into meaningful learning analytics solutions.

He or she would be working with the director and the data scientists to enhance data literacy of faculty and students. In addition, he or she is expected to support the administration of key systems such as Denodo and Dataiku in compliance with the data and AI governance policy of the university.

Responsibilities

Communication, engagement and collaboration opportunities

• Conceptualise and execute a communication plan for learning analytics with various units in the university
• Seek opportunities to collaborate with internal and external parties to achieve the learning analytics goals
• Engage students and support faculty champions to increase acceptance and adoption of learning analytics
• Communicate with end-users and analyse their business needs
• Manage and maintain the department website

Data management

• Support the data engineer in handling data request
• Manage the data science machine learning platform
• Build the data exploration tool to support data requester in identiying potential bias and discrimination in the requested datasets.

Project Management

• Provide support for learning analytics projects by helping to build dashboards and communications

Requirements

• Bachelor degree in Business Analytics or Data Science and related fields
• At least two years of experience as a business analyst or experiences working on data related project
• Prior experience working in an university setting is highly preferred
• Proficient in statistics, machine learning approaches and AI approaches including discriminative and generative
• Familiar with various data governance framework issued by PDPA
• Strong communication and networking skills
• Strong ability in translating user needs into a data science problem
• Strong understanding of data science or analytics and governance
• Strong technical skills such as python programming, system administration
• Proficient in developing dashboards and other visualization tools such as Qliksense and Power BI

Key Responsibilities and Activities:

Analyse and Generate Insights on the Organisational Health of Social Service Agencies (SSAs)

Conduct in-depth analysis on the organisational health of SSAs to articulate the impact of organisational capability-building efforts on service outcomes for service users, and inform capability-building strategies for the sector. This entails:

• Maintaining, updating, and enhancing dashboard on organisational health of the sector, incorporating relevant data sets.
• Advising on updates to organisational health frameworks, survey and self-assessment methodology of self-assessment tools.
• Sense-making and identifying the relationship between service user outcomes, capability building efforts and organisational health data.
• Analyse and Generate Insights on Manpower in the social service sector

Work with teams to analyse workforce trends to guide decision-making and strategic planning, and develop relevant metrics and dashboards to monitor performance; including:

• Identifying and assessing key sectoral manpower challenges and needs, uncover insights on attraction and retention of segments of the sector workforce, including Social Service Professionals in management roles.
• Developing meaningful sector level indicators, working with demographics, compensation, and other data types.
• Monitoring and reporting key statistics.
• Collaborating with internal and external stakeholders for analysis and reporting needs
• Leveraging market benchmarking data to influence and optimise decision making.

Strengthen In-house Research and Evaluation expertise

Support research and evaluation projects on sector and SSA needs, by

• Providing feedback on surveys administered by teams and provide support in analysing the findings.
• Advising on the design and implementation of research studies.
• Advising on the impact evaluation of capability-building schemes to assess impact, identify learnings and inform forward plans.

Requirements:

• Possesses a Bachelor’s Degree in the Social Sciences (e.g., Psychology, Social Work, Political Science, Public Health or relevant domains e.g., Business Administration
• At least 5 years of work experience, preferably with experience in Social Sciences or organisational health domain.
• Proficient in PowerBI. Knowledge in SPSS, Python, and R Programming would be a bonus.
• Strong research skills (Quantative and qualitative) and experience with research projects.
• Demonstrable experience in strategic planning and implementation.
• Knowledge and/or experience in Organisational Development
• Strong communicator who is flexible and adaptable, comfortable working in a dynamic and fast-paced environment.
• Singaporean(s) Only

Coen Tay Zhi Xuan (R1989334)

Scientec Consulting Pte Ltd (Scientec Personnel) -11C5781

Centre for the Applications of Teaching & Learning Analytics for Students (ATLAS) is leveraging on learning analytics to improve teaching and learning as part of Education Strategy 2025. This position is similar in nature to a business analyst but for advancing the use of data for teaching and learning purposes. The position is critical for developing a communication plan to get faculty and students buy-in on the learning analytics goals of the university. He or she would also be responsible for gathering faculty, students and schools’ teaching and learning needs, and translating the needs into meaningful learning analytics solutions.

He or she would be working with the director and the data scientists to enhance data literacy of faculty and students. In addition, he or she is expected to support the administration of key systems such as Denodo and Dataiku in compliance with the data and AI governance policy of the university.

Responsibilities

Communication, engagement and collaboration opportunities

• Conceptualise and execute a communication plan for learning analytics with various units in the university
• Seek opportunities to collaborate with internal and external parties to achieve the learning analytics goals
• Engage students and support faculty champions to increase acceptance and adoption of learning analytics
• Communicate with end-users and analyse their business needs
• Manage and maintain the department website

Data management

• Support the data engineer in handling data request
• Manage the data science machine learning platform
• Build the data exploration tool to support data requester in identiying potential bias and discrimination in the requested datasets.

Project Management

• Provide support for learning analytics projects by helping to build dashboards and communications

Requirements

• Bachelor degree in Business Analytics or Data Science and related fields
• At least two years of experience as a business analyst or experiences working on data related project
• Prior experience working in an university setting is highly preferred
• Proficient in statistics, machine learning approaches and AI approaches including discriminative and generative
• Familiar with various data governance framework issued by PDPA
• Strong communication and networking skills
• Strong ability in translating user needs into a data science problem
• Strong understanding of data science or analytics and governance
• Strong technical skills such as python programming, system administration
• Proficient in developing dashboards and other visualization tools such as Qliksense and Power BI

The School of Electrical and Electronic Engineering is looking for a Research Associate in the area of 3D intelligent perception system development. The successful candidate will work with Prof. Danwei Wang and a group of Research Fellows, Research Associates and PhD/Masters/Bachelors students in school of EEE at Nanyang Technological University, Singapore.

Key responsibilities:

• Develop and design 3D intelligent perception algorithms for digital twin-based tele operation system and autonomous system in various environments.
• Develop and implement 3D obstacle detection algorithm based on prebuilt HD map.
• Test and integrate existing sensor suite product.
• Integrate perception modules into teleoperation systems and autonomous systems.
• Explore the robustness of perception modules in complex scenarios.

Job Requirements:

• Masters degree in Electrical and Electronic Engineering
• Experience in Autoware
• Programming skills in C++, Python, ROS
• Familiar with implementing deep learning algorithms such as 3D object detection.
• Experience with using OpenCV / PCL / Open3D / PyTorch
• Good verbal and written communication skills in English
• Project experience which involves object detection, point cloud clustering.

We regret that only shortlisted candidates will be notified.

The Earth Observatory of Singapore (EOS) at Nanyang technological University in Singapore invites applications A Research Associate position is currently available in the Earth Observatory of Singapore (EOS). The Earth Observatory of Singapore was founded with a mission to conduct fundamental research on earthquakes, volcanic eruptions, tsunamis and climate change in and around Southeast Asia, towards safer and more sustainable societies: https://earthobservatory.sg/

The Asian School of the Environment is an interdisciplinary school that integrates earth and environmental life science, ecology, engineering and technology, human ecology, humanities, and the social sciences to addressing key environmental challenges related to climate change, geohazards, sustainablity and global environmental change, with a focus on Southeast Asia: https://www.ntu.edu.sg/ase.

The successful candidate will join a team at the Earth Observatory of Singapore (EOS) and Asian School of the Environment (ASE) at Nanyang Technological University who are working towards developing automated capabilities for remote-sensing based monitoring of natural hazards and mapping of natural disasters across Southeast Asia. The project aims to map floods, land subsidence, volcano monitoring, tectonic deformation, coastal change and earthquake studies, and to provide timely information to regional decision makers and disaster responders across the region.

Key Responsibilities:

• Works as a software engineer on the project
• Help with software development of new features and mission control of a near-real-time, partially automated system that will use remote sensing data for monitoring of hazards and mapping of disasters
• Development of additional features in our web-based interface according to user requirements
• Coordination with scientists at the Earth Observatory of Singapore to integrate post-processing algorithms for SAR data into the disaster response system
• Troubleshoot issues raised and develop fixes to ensure our system is always ready for response

Job Requirements:

• Master’s degree in computer science, remote sensing, data analytics, earth science, or natural hazards
• Strong experience with Python is a requirement. Experience working with cloud-computing platforms and distributed systems, and/or in using remote sensing to map natural hazards and disasters is advantageous
• Willingness to learn tools associated with cloud-based distributed systems, web development (HTML, CSS, JavaScript, Docker, Elasticsearch)
• Willingness to learn scientific processing software and tools.
• Strong English and communication skills, both written and oral as medium of communication within the institute and for ease of communication with international collaborators
• Strong program management skills (project workflow planning, trouble shooting, etc.)

Interested applicants should send a CV, with list of publications (if any), statement of career goals, and the names of three referees.

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