Total 22 Senior Executive system technician job vacancies in Education / Training category in Singapore

Key Responsibilities:

• Assist in the development of eLearning instructional materials, including storyboards and learning activities.
• Design and develop eLearning modules using authoring tools such as Articulate Rise and Storyline.
• Create multimedia elements, including graphics, animations, and videos, to enhance learning experiences.
• Provide helpdesk support and troubleshooting for online learning content and TLMS.
• Work with IT vendors to investigate and resolve user-reported issues when required.
• Document and track issues using an issue log system, ensuring timely resolution and follow-up.
• Maintain housekeeping documentation such as issue logs, user guides, and procurement documents.
• Provide support for other IT projects and initiatives as needed.

Requirements:

• Hold a degree with at least 1 year of relevant experience in instructional design and eLearning development.
• Proficient in eLearning authoring tools such as Articulate Rise and Storyline.
• Familiar with training and/or learning management systems. Knowledge of Wizlearn Technologies’ TLMS is a plus but not mandatory.
• Possess a strong command of English with excellent written and verbal communication skills.
• Ability to troubleshoot technical issues related to online course delivery and provide technical support to learners.

Overview*

Alexandra Hospital, a member of the National University Health System (NUHS) cluster, is a historic site providing integrated, holistic care to patients. The hospital is a test bed for innovative care approaches in Singapore and is currently running a diverse portfolio of studies. Alexandra Research Centre for Healthcare In a Virtual Environment (ARCHIVE) is set-up to support the design of innovative experiments in hospital-supported, community-focused, patient-centred virtual care (vCare) models. ARCHIVE’s projects can include research studies, quality improvement projects and clinical trials that incorporate digital technology to ensure the care models are future ready.

The successful candidate will be expected to contribute towards new virtual healthcare projects and manage tasks on the evaluation of existing vCare programs in the areas of telemonitoring, telecollaboration, connected ward ecosystem and virtual care centre.

Job Responsibilities*

You will be responsible for the following:

• Successfully manage projects from start-up to completion.
• Study protocol development
• Develop statistical analysis plans and conduct analyses.
• Oversee study compliance to the ethics requirements and local regulations
• Supervision of quantitative and/or qualitative analysis
• Development of scientific papers and the dissemination of the study findings
• Preparation of proposals for new grants
• Conduct literature reviews, including systematic reviews.
• Mentoring junior staff
• Engage with healthcare professionals and collaborators to support research activities.

Requirements*

• PH.D. in Public Health or Health Services Research
• Proven track record in clinical/public health/health services research, with outstanding management abilities and a demonstrated track record of leadership.
• Minimum 2 years’ relevant experiences
• Strong acumen with in-depth understanding of quantitative and ideally qualitative research methodologies.
• Proficient in use of standard statistical or qualitative software e.g. STATA, SPSS, NVivo.
• Good scientific writing skills as demonstrated by track records of publications in international peer-reviewed journals
• Able to drive research projects from design, implementation to deployment
• Project management capabilities and experience in driving a cohesive research team and cross teaming environment
• Possess confidence to resonate with clinician investigators and research collaborators – internal and external stakeholders
• Ability to multi-task and work under tight timelines
• Good analytical and organization skills
• Excellent communication, problem solving, presentation, negotiation and interpersonal skill

If the role sounds interesting to you, please contact ‘[email protected]’ to understand more on the role. Please indicate the position that you are interested in the subject heading.

*Only Singapore Citizens and Singapore Permanent Residents may apply.

Job Description:

CPPS group is seeking a highly motivated, independent and creative research engineer to deliver impactful and innovative AI-based digital technologies for predictive/prescriptive analytics and decision support. The candidate will work with a multidisciplinary team of scientists and engineers to translate problems faced by industry into opportunities to develop and deploy deep tech in AI.

The key roles & responsibilities include, but are not limited to the following:

• Co-develop AI models to enhance and automate decision making
• Work with a team of scientist and engineers to execute deliverables for industry projects
• Engage companies to understand their challenges and translate to research collaborations in AI
• Contribute to research and development in Cyber-Physical Production System technologies, including technology development, live production environment test-bedding and technology transfer of robust algorithms to industry
• Understand autonomous manufacturing domain and provide innovative solutions to industry problems in this area
• Familiarity with Industry 4.0 standards and concepts is an advantage

Job Requirement:

• Bachelor’s or Master’s degree in Computer Science, Electrical Engineering, Mechanical Engineering, or a related field
• Candidates with an ambition and attitude for cutting-edge research are welcome to apply
• Strong understanding of machine learning algorithms, statistical analysis, and data preprocessing techniques
• Experience with machine learning frameworks and libraries, such as TensorFlow, Keras, PyTorch, or Scikit-learn
• Excellent verbal and written communication skills
• Quality focused and customer-centric
• Can-do attitude and able to work with different needs of various stakeholders
• Proactive team player and technically motivated to solve problems innovatively

Job Description:

CPPS group is seeking a highly motivated, independent and creative research engineer to deliver impactful and innovative AI-based digital technologies for predictive/prescriptive analytics and decision support. The candidate will work with a multidisciplinary team of scientists and engineers to translate problems faced by industry into opportunities to develop and deploy deep tech in AI.

The key roles & responsibilities include, but are not limited to the following:

• Co-develop AI models to enhance and automate decision making
• Work with a team of scientist and engineers to execute deliverables for industry projects
• Engage companies to understand their challenges and translate to research collaborations in AI
• Contribute to research and development in Cyber-Physical Production System technologies, including technology development, live production environment test-bedding and technology transfer of robust algorithms to industry
• Understand autonomous manufacturing domain and provide innovative solutions to industry problems in this area
• Familiarity with Industry 4.0 standards and concepts is an advantage

Job Requirement:

• Bachelor’s or Master’s degree in Computer Science, Electrical Engineering, Mechanical Engineering, or a related field.
• Candidates with an ambition and attitude for cutting-edge research are welcome to apply.
• Strong understanding of machine learning algorithms, statistical analysis, and data preprocessing techniques
• Experience with machine learning frameworks and libraries, such as TensorFlow, Keras, PyTorch, or Scikit-learn
• Excellent verbal and written communication skills
• Quality focused and customer-centric
• Can-do attitude and able to work with different needs of various stakeholders
• Proactive team player and technically motivated to solve problems innovatively

Job Description:

The CPPS group is seeking a highly motivated senior research engineer or lead research engineer to lead and conduct R&D in Industry 5.0 smart manufacturing solutions and integrating digital technologies with AI-enabled physical production systems that promote human-centricity, environmental sustainability, and value chain resilience in manufacturing. The ideal candidate should have a strong background in controls, integration and PLC programming. The key roles & responsibilities include, but are not limited to the following:

• Conduct R&D in novel adaptive and autonomous control algorithms for scalable self-learning, self-optimizing and self-recovery production systems
• Work with a team of engineers and scientist to design and implement integrated IIOT and AI-enabled production systems for smart manufacturing
• Understand autonomous manufacturing domain and provide innovative solutions to industry problems in this area
• Familiarity with industry communication protocols such as OPC-UA, MQTT, Profibus, and RS-232 is an advantage

Job Requirement:

• Masters or Bachelor degree in Computer Science / Engineering, Electrical Engineering, Mechanical Engineering, with emphasis on controls, integration and automation
• 1-3 years experience in industry and/or R&D projects in the area of controls and IIOT (min. 5 years for Lead Research Engineer).
• Develop and program PLCs and other control systems, utilizing platforms like TwinCAT, EcoStruxure, Codesys and others.
• Ability to apprehend and/or interpret electrical circuit diagrams is a strong advantage
• Excellent technical presentation and writing skills
• Can-do attitude and able to work with different needs of various stakeholders
• Proactive team player and technically motivated to solve problems innovatively

Job Description:

CPPS group is seeking a highly motivated, independent and creative research engineer to deliver impactful and innovative AI-based digital technologies for predictive/prescriptive analytics and decision support. The candidate will work with a multidisciplinary team of scientists and engineers to translate problems faced by industry into opportunities to develop and deploy deep tech in AI.

The key roles & responsibilities include, but are not limited to the following:

• Co-develop AI models to enhance and automate decision making
• Work with a team of scientist and engineers to execute deliverables for industry projects
• Engage companies to understand their challenges and translate to research collaborations in AI
• Contribute to research and development in Cyber-Physical Production System technologies, including technology development, live production environment test-bedding and technology transfer of robust algorithms to industry
• Understand autonomous manufacturing domain and provide innovative solutions to industry problems in this area
• Familiarity with Industry 4.0 standards and concepts is an advantage

Job Requirement:

• Bachelor’s or Master’s degree in Computer Science, Electrical Engineering, Mechanical Engineering, or a related field
• Candidates with an ambition and attitude for cutting-edge research are welcome to apply
• Strong understanding of machine learning algorithms, statistical analysis, and data preprocessing techniques
• Experience with machine learning frameworks and libraries, such as TensorFlow, Keras, PyTorch, or Scikit-learn
• Excellent verbal and written communication skills
• Quality focused and customer-centric
• Can-do attitude and able to work with different needs of various stakeholders
• Proactive team player and technically motivated to solve problems innovatively

Job Description:

CPPS group is seeking a highly motivated, independent and creative research engineer to deliver impactful and innovative AI-based digital technologies for predictive/prescriptive analytics and decision support. The candidate will work with a multidisciplinary team of scientists and engineers to translate problems faced by industry into opportunities to develop and deploy deep tech in AI.

The key roles & responsibilities include, but are not limited to the following:

• Co-develop AI models to enhance and automate decision making
• Work with a team of scientist and engineers to execute deliverables for industry projects
• Engage companies to understand their challenges and translate to research collaborations in AI
• Contribute to research and development in Cyber-Physical Production System technologies, including technology development, live production environment test-bedding and technology transfer of robust algorithms to industry
• Understand autonomous manufacturing domain and provide innovative solutions to industry problems in this area
• Familiarity with Industry 4.0 standards and concepts is an advantage

Job Requirement:

• Bachelor’s or Master’s degree in Computer Science, Electrical Engineering, Mechanical Engineering, or a related field.
• Candidates with an ambition and attitude for cutting-edge research are welcome to apply.
• Strong understanding of machine learning algorithms, statistical analysis, and data preprocessing techniques
• Experience with machine learning frameworks and libraries, such as TensorFlow, Keras, PyTorch, or Scikit-learn
• Excellent verbal and written communication skills
• Quality focused and customer-centric
• Can-do attitude and able to work with different needs of various stakeholders
• Proactive team player and technically motivated to solve problems innovatively

Job Description:

The CPPS group is seeking a highly motivated senior research engineer or lead research engineer to lead and conduct R&D in Industry 5.0 smart manufacturing solutions and integrating digital technologies with AI-enabled physical production systems that promote human-centricity, environmental sustainability, and value chain resilience in manufacturing. The ideal candidate should have a strong background in controls, integration and PLC programming. The key roles & responsibilities include, but are not limited to the following:

• Conduct R&D in novel adaptive and autonomous control algorithms for scalable self-learning, self-optimizing and self-recovery production systems
• Work with a team of engineers and scientist to design and implement integrated IIOT and AI-enabled production systems for smart manufacturing
• Understand autonomous manufacturing domain and provide innovative solutions to industry problems in this area
• Familiarity with industry communication protocols such as OPC-UA, MQTT, Profibus, and RS-232 is an advantage

Job Requirement:

• Masters or Bachelor degree in Computer Science / Engineering, Electrical Engineering, Mechanical Engineering, with emphasis on controls, integration and automation
• 1-3 years experience in industry and/or R&D projects in the area of controls and IIOT (min. 5 years for Lead Research Engineer).
• Develop and program PLCs and other control systems, utilizing platforms like TwinCAT, EcoStruxure, Codesys and others.
• Ability to apprehend and/or interpret electrical circuit diagrams is a strong advantage
• Excellent technical presentation and writing skills
• Can-do attitude and able to work with different needs of various stakeholders
• Proactive team player and technically motivated to solve problems innovatively

Role Description:

• Responsible for semiconductor fab automation with Autonomous Mobile Robot (AMR) & SECS/GEM
• MES knwolegeable and work with vendors to evaluate and enable communication between MES, Tool and AMR.
• Responsible for proposing/developing/implementing/maintaining IOT automation systems collecting/cleaning/restructuring equipment data and storage in data management system
• Maintenance of AMR and existing system performing periodic data integrity checks, create automated failure alerts, perform timely fixes when necessary and continuously improve the automation frameworks with new innovative features\
• Create Web UI for admin/user required view & operation. Create automated periodic insights/analytics/reports/visualisation/alerts operations required for timely decision-making processes.

Job Requirements

• Degree in Computer Science, Engineering or relevant field
• Ability to work independently and team player to deliver result in fast paced and collaborative environment
• Preferable with 1-3 experience in various semiconductor process module/knowledge, equipment engineering or digital transformation, specifically in SECS/GEM Automation.
• Knowledge in communication systems and network protocols used between tool and factory automation (SECS/GEM knowledge & semiconductor/manufacturing environment)
• Knowledge in variety of operating system (OS) used for automation (e.g SECS/GEM, php, js, sql). Other technical skills such as AMHS, vb, xml will be a plus/
• Preferable to have experience in data mining, database engineering, software development

Role Description:

• Responsible for semiconductor fab automation with Autonomous Mobile Robot (AMR) & SECS/GEM
• MES knwolegeable and work with vendors to evaluate and enable communication between MES, Tool and AMR.
• Responsible for proposing/developing/implementing/maintaining IOT automation systems collecting/cleaning/restructuring equipment data and storage in data management system
• Maintenance of AMR and existing system performing periodic data integrity checks, create automated failure alerts, perform timely fixes when necessary and continuously improve the automation frameworks with new innovative features\
• Create Web UI for admin/user required view & operation. Create automated periodic insights/analytics/reports/visualisation/alerts operations required for timely decision-making processes.

Job Requirements

• Degree in Computer Science, Engineering or relevant field
• Ability to work independently and team player to deliver result in fast paced and collaborative environment
• Preferable with 1-3 experience in various semiconductor process module/knowledge, equipment engineering or digital transformation, specifically in SECS/GEM Automation.
• Knowledge in communication systems and network protocols used between tool and factory automation (SECS/GEM knowledge & semiconductor/manufacturing environment)
• Knowledge in variety of operating system (OS) used for automation (e.g SECS/GEM, php, js, sql). Other technical skills such as AMHS, vb, xml will be a plus/
• Preferable to have experience in data mining, database engineering, software development

Overview*

Alexandra Hospital, a member of the National University Health System (NUHS) cluster, is a historic site providing integrated, holistic care to patients. The hospital is a test bed for innovative care approaches in Singapore and is currently running a diverse portfolio of studies. Alexandra Research Centre for Healthcare In a Virtual Environment (ARCHIVE) is set-up to support the design of innovative experiments in hospital-supported, community-focused, patient-centred virtual care (vCare) models. ARCHIVE’s projects can include research studies, quality improvement projects and clinical trials that incorporate digital technology to ensure the care models are future ready.

The successful candidate will be expected to contribute towards new virtual healthcare projects and manage tasks on the evaluation of existing vCare programs in the areas of telemonitoring, telecollaboration, connected ward ecosystem and virtual care centre.

Job Responsibilities*

You will be responsible for the following:

• Successfully manage projects from start-up to completion.
• Study protocol development
• Develop statistical analysis plans and conduct analyses.
• Oversee study compliance to the ethics requirements and local regulations
• Supervision of quantitative and/or qualitative analysis
• Development of scientific papers and the dissemination of the study findings
• Preparation of proposals for new grants
• Conduct literature reviews, including systematic reviews.
• Mentoring junior staff
• Engage with healthcare professionals and collaborators to support research activities.

Requirements*

• PH.D. in Public Health or Health Services Research
• Proven track record in clinical/public health/health services research, with outstanding management abilities and a demonstrated track record of leadership.
• Minimum 2 years’ relevant experiences
• Strong acumen with in-depth understanding of quantitative and ideally qualitative research methodologies.
• Proficient in use of standard statistical or qualitative software e.g. STATA, SPSS, NVivo.
• Good scientific writing skills as demonstrated by track records of publications in international peer-reviewed journals
• Able to drive research projects from design, implementation to deployment
• Project management capabilities and experience in driving a cohesive research team and cross teaming environment
• Possess confidence to resonate with clinician investigators and research collaborators – internal and external stakeholders
• Ability to multi-task and work under tight timelines
• Good analytical and organization skills
• Excellent communication, problem solving, presentation, negotiation and interpersonal skill

If the role sounds interesting to you, please contact ‘[email protected]’ to understand more on the role. Please indicate the position that you are interested in the subject heading.

*Only Singapore Citizens and Singapore Permanent Residents may apply.

The Institute of High Performance Computing (IHPC) was established in April 1998 to provide leadership in high performance computing as a strategic resource for scientific inquiry and industry development. Our mission is to advance science and technology, and develop leading-edge applications through high performance computing and computational science. We have long-term ties with industry partners, including multinational companies and local SMEs, which ensures that our R&D activities stay focused and relevant to real-world needs. We also have active cooperation with the world’s top academics and academic institutions.

Simulation Engineer

The candidate will be part of the team developing a next-generation electrified mobility simulation platform using an agent-based modelling approach. The platform is envisioned to be integrated with other modelling & simulation systems under a digital twin strategy. The responsibilities may include any of the following:

• Develop simulation modules for the agent-based simulator.
• Design and implement simulation scenarios for electrification.
• Optimise the performance of the simulation.
• Calibrate and validate the simulation model based on real-world transportation dynamics.
• Develop connectors, interfaces, and adapters to facilitate model communication and data interchange.

Education and experience requirements:

• Bachelor’s or Master’s degree in computer science, software engineering, transportation, or related fields.
• Minimum of 5 years of experience in simulation development.
• Experience with system integration or executing phased deployment plans is a plus.

Technical skills:

• Strong proficiency in a wide range of programming languages,including Python, Java, JavaScript, and C++.
• Familiarity with simulation software and tools (e.g., SimPy, MASON, Repast, Simulink, AnyLogic, SUMO).

Experience/familiarity with any of the following is a plus:

• Containerization and orchestration technologies, such as Docker and Kubernetes.
• Digital twins.
• Simulation integration standards and frameworks (e.g., HELICS, HLA, DIS).
• High-performance communication technology (e.g., gRPC, MPI, ZeroMQ).
• Model pipelining tools (e.g., Airflow, MLflow, Argo).

The above eligibility criteria are not exhaustive. A*STAR may include additional selection criteria based on its prevailing recruitment policies. These policies may be amended from time to time without notice. We regret that only shortlisted candidates will be notified.

The Institute of High Performance Computing (IHPC) was established in April 1998 to provide leadership in high performance computing as a strategic resource for scientific inquiry and industry development. Our mission is to advance science and technology, and develop leading-edge applications through high performance computing and computational science. We have long-term ties with industry partners, including multinational companies and local SMEs, which ensures that our R&D activities stay focused and relevant to real-world needs. We also have active cooperation with the world’s top academics and academic institutions.

Simulation Engineer

The candidate will be part of the team developing a next-generation electrified mobility simulation platform using an agent-based modelling approach. The platform is envisioned to be integrated with other modelling & simulation systems under a digital twin strategy. The responsibilities may include any of the following:

• Develop simulation modules for the agent-based simulator.
• Design and implement simulation scenarios for electrification.
• Optimise the performance of the simulation.
• Calibrate and validate the simulation model based on real-world transportation dynamics.
• Develop connectors, interfaces, and adapters to facilitate model communication and data interchange.

Education and experience requirements:

• Bachelor’s or Master’s degree in computer science, software engineering, transportation, or related fields.
• Minimum of two years of experience in simulation development.
• Experience with system integration or executing phased deployment plans is a plus.

Technical skills:

• Strong proficiency in a wide range of programming languages,including Python, Java, JavaScript, and C++.
• Familiarity with simulation software and tools (e.g., SimPy, MASON, Repast, Simulink, AnyLogic, SUMO).

Experience/familiarity with any of the following is a plus:

• Containerization and orchestration technologies, such as Docker and Kubernetes.
• Digital twins.
• Simulation integration standards and frameworks (e.g., HELICS, HLA, DIS).
• High-performance communication technology (e.g., gRPC, MPI, ZeroMQ).
• Model pipelining tools (e.g., Airflow, MLflow, Argo).

The above eligibility criteria are not exhaustive. A*STAR may include additional selection criteria based on its prevailing recruitment policies. These policies may be amended from time to time without notice. We regret that only shortlisted candidates will be notified.

A Corp Lab in NTU is looking for a motivated Senior Research Scientist to conduct cutting-edge research in the topic of “Green Cloud Computing”.

Key Responsibilities:

• Developing physics-based and data-driven models to characterize dynamics of the interconnected data center systems, including computing, cooling and electric supply;
• Developing optimization algorithms to minimize carbon usage subject to certain system constraints;
• 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;
• Diagnosing the issue and resolving it on demand.

Job Requirements:

• PhD Degree in computer science, computer engineering, electrical engineering, control and science engineering, information system or a related discipline;
• At least 2 – 3 years’ work experience in relevant areas;
• Strong research record, preferably on top-tier computer science/engineering conferences or journals;
• Proficiency with Python and relevant packages, like NumPy, Pandas, PyTorch or Tensorflow;
• Experience in other programming languages, like C/C++, MATLAB
• Excellent verbal communication skills and good problem solving skills;
• Attention to detail.

We regret that only shortlisted candidates will be notified.

Job Description:

The CPPS group is seeking a highly motivated senior research engineer or lead research engineer to lead and conduct R&D in Industry 5.0 smart manufacturing solutions and integrating digital technologies with AI-enabled physical production systems that promote human-centricity, environmental sustainability, and value chain resilience in manufacturing. The ideal candidate should have a strong background in controls, integration and PLC programming. The key roles & responsibilities include, but are not limited to the following:

• Conduct R&D in novel adaptive and autonomous control algorithms for scalable self-learning, self-optimizing and self-recovery production systems
• Work with a team of engineers and scientist to design and implement integrated IIOT and AI-enabled production systems for smart manufacturing
• Understand autonomous manufacturing domain and provide innovative solutions to industry problems in this area
• Familiarity with industry communication protocols such as OPC-UA, MQTT, Profibus, and RS-232 is an advantage

Job Requirement:

Masters or Bachelor degree in Computer Science / Engineering, Electrical Engineering, Mechanical Engineering, with emphasis on controls, integration and automation

1-3 years experience in industry and/or R&D projects in the area of controls and IIOT (min. 5 years for Lead Research Engineer)

• Develop and program PLCs and other control systems, utilizing platforms like TwinCAT, EcoStruxure, Codesys and others
• Ability to apprehend and/or interpret electrical circuit diagrams is a strong advantage
• Excellent technical presentation and writing skills
• Can-do attitude and able to work with different needs of various stakeholders
• Proactive team player and technically motivated to solve problems innovatively

Job Description:

The CPPS group is seeking a highly motivated senior research engineer or lead research engineer to lead and conduct R&D in Industry 5.0 smart manufacturing solutions and integrating digital technologies with AI-enabled physical production systems that promote human-centricity, environmental sustainability, and value chain resilience in manufacturing. The ideal candidate should have a strong background in controls, integration and PLC programming. The key roles & responsibilities include, but are not limited to the following:

• Conduct R&D in novel adaptive and autonomous control algorithms for scalable self-learning, self-optimizing and self-recovery production systems
• Work with a team of engineers and scientist to design and implement integrated IIOT and AI-enabled production systems for smart manufacturing
• Understand autonomous manufacturing domain and provide innovative solutions to industry problems in this area
• Familiarity with industry communication protocols such as OPC-UA, MQTT, Profibus, and RS-232 is an advantage

Job Requirement:

Masters or Bachelor degree in Computer Science / Engineering, Electrical Engineering, Mechanical Engineering, with emphasis on controls, integration and automation

1-3 years experience in industry and/or R&D projects in the area of controls and IIOT (min. 5 years for Lead Research Engineer)

• Develop and program PLCs and other control systems, utilizing platforms like TwinCAT, EcoStruxure, Codesys and others
• Ability to apprehend and/or interpret electrical circuit diagrams is a strong advantage
• Excellent technical presentation and writing skills
• Can-do attitude and able to work with different needs of various stakeholders
• Proactive team player and technically motivated to solve problems innovatively

Executive/Senior Executive, NUHS Education & Research Office (2 years contract)

Job Responsibilities:

To leverage data-driven insights and analysis in support of the overall mission and objectives of NUHS, aiming to improve patient care outcomes, enhance operational efficiency, drive innovation, and advance research, thereby contributing to the DataIU's mission of enhancing data-driven healthcare delivery, operational excellence, and research advancement.

You will be responsible for the following areas:

1. Data Sourcing and IntegrationAcquire, organize, and integrate diverse healthcare data sources, including EHRs, claims data, clinical trial data, and public health surveillance data.
   Ensure accuracy and consistency of data by applying knowledge of coding systems like ICD-10 and utilizing SQL for data querying and manipulation.
   Performance Measure: Timeliness and completeness of data integration, accuracy of data queries, and adherence to coding standards.
   
2. Statistical Analysis and Insight GenerationConduct advanced statistical analysis, data mining, and visualization techniques to uncover trends, patterns, and insights within healthcare data.
   Utilize statistical software packages (e.g., SAS, R, Python) and data manipulation libraries (e.g., pandas, dplyr) to perform analyses.
   Performance Measure: Accuracy and reliability of statistical analyses, effectiveness of visualization in conveying insights, and ability to derive actionable conclusions.
   
3. Reporting and CommunicationDevelop clear and concise reports, dashboards, and presentations to communicate findings and insights to stakeholders.
   Ensure reports are tailored to the audience and adhere to ethical and privacy standards regarding patient confidentiality and data security.
   Performance Measure: Clarity and relevance of reports, effectiveness of communication in conveying insights, and stakeholder satisfaction with reporting.
   
4. Continuous Improvement and ComplianceContinuously improve data management processes, data quality assessment methods, and reporting methodologies.
   Stay updated on ethical considerations and privacy regulations related to healthcare data handling, ensuring compliance with standards such as HIPAA.
   Performance Measure: Implementation of process improvements, adherence to ethical and regulatory standards, and contribution to overall organizational efficiency and compliance.
   

Job Requirements:

• Professional degree in quantitative field such as statistics, mathematics, computer science, epidemiology, public health, or related fields.
• Proficiency in statistical analysis, data mining, and data visualization techniques. Experience with statistical software packages such as SAS, R, or Python for data analysis and manipulation.
• Database Skills: Knowledge of SQL for querying and analyzing healthcare databases.
• Ability to interpret and analyze healthcare data to identify trends, patterns, and insights. Experience in preparing reports, dashboards, and presentations to communicate findings to stakeholders.
• Proficiency in programming languages commonly used in data science, such as Python or R.
• Experience with data manipulation libraries (e.g., pandas, dplyr) and visualization libraries (e.g., matplotlib, ggplot2).

COMPANY DESCRIPTION

Singapore Management University is a place where high-level professionalism blends together with a healthy informality. The 'family-like' atmosphere among the SMU community fosters a culture where employees work, plan, organise and play together building a strong collegiality and morale within the university.

Our commitment to attract and retain talent is ongoing. We offer attractive benefits and welfare, competitive compensation packages, and generous professional development opportunities all to meet the work-life needs of our staff. No wonder, then, that SMU continues to be given numerous awards and recognition for its human resource excellence.

RESPONSIBILITIES

• This position is for SMU Academy (SMUA).
• Hybrid work environment to support and optimize daily operations on the Learning Management System (LMS).
• Manage the creation of learner accounts within the LMS and ensure the assignment of courses aligns with the enrolled learners.
• Create and administer Webinar sessions in the LMS.
• Maintain the synchronization of assessment results with learners' accounts on the LMS.
• Provide dedicated support to learners and trainers, assisting in resolving any LMS-related issues they encounter.
• Actively contribute as a pivotal team member in supporting and implementing a new LMS for the Academy.
• Occasional duty to support Academy courses, averaging 2-4 times a year. Flexible off days will be compensated for work deployments after office hours.

https://academy.smu.edu.sg/overview

• Diploma or Degree with at least 2 years of relevant work experience.
• Self-driven, resourceful, and adaptable to changes well.
• Meticulous, analytical, and proactive to tasks.
• Possesses strong collaborative skills, fostering effective teamwork.
• Prior experience with LMS, TMS, and/or e-learning authoring tools would be preferred.
• Familiarity with Power BI, Python, and/or Power Automate will be advantageous.

#LI-LK1

Candidates who do not possess the stipulated qualifications but have relevant work experience may still apply. Remuneration and appointment terms shall commensurate with qualifications and experience. SMU reserves the right to modify the appointment terms where necessary.

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

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.

COMPANY DESCRIPTION

Singapore Management University is a place where high-level professionalism blends together with a healthy informality. The 'family-like' atmosphere among the SMU community fosters a culture where employees work, plan, organise and play together building a strong collegiality and morale within the university.

Our commitment to attract and retain talent is ongoing. We offer attractive benefits and welfare, competitive compensation packages, and generous professional development opportunities all to meet the work-life needs of our staff. No wonder, then, that SMU continues to be given numerous awards and recognition for its human resource excellence.

RESPONSIBILITIES

• This position is for SMU Academy (SMUA).
• Hybrid work environment to support and optimize daily operations on the Learning Management System (LMS).
• Manage the creation of learner accounts within the LMS and ensure the assignment of courses aligns with the enrolled learners.
• Create and administer Webinar sessions in the LMS.
• Maintain the synchronization of assessment results with learners' accounts on the LMS.
• Provide dedicated support to learners and trainers, assisting in resolving any LMS-related issues they encounter.
• Actively contribute as a pivotal team member in supporting and implementing a new LMS for the Academy.
• Occasional duty to support Academy courses, averaging 2-4 times a year. Flexible off days will be compensated for work deployments after office hours.

https://academy.smu.edu.sg/overview

• Diploma or Degree with at least 2 years of relevant work experience.
• Self-driven, resourceful, and adaptable to changes well.
• Meticulous, analytical, and proactive to tasks.
• Possesses strong collaborative skills, fostering effective teamwork.
• Prior experience with LMS, TMS, and/or e-learning authoring tools would be preferred.
• Familiarity with Power BI, Python, and/or Power Automate will be advantageous.

#LI-LK1

Candidates who do not possess the stipulated qualifications but have relevant work experience may still apply. Remuneration and appointment terms shall commensurate with qualifications and experience. SMU reserves the right to modify the appointment terms where necessary.

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.