Total 46 data entry job vacancies in Education / Training category in Singapore

We are seeking a creative and motivated Data Analytics & AI Specialist to join our Data & Automation team. In this role, you will develop and deploy data-driven solutions using machine learning, statistical modelling, and AI techniques to solve complex challenges across fab operations—from wafer processing and defect detection to predictive maintenance and real-time process control. You will collaborate closely with process engineers, equipment specialists, and IT teams to transform raw fab data into actionable intelligence that enhances productivity, quality, and yield.

Key Responsibilities

• Design, develop, and implement scalable data pipelines to ingest, clean, and structure high-volume, high-velocity data from fab tools (e.g., sensors, MES, EDA, APC systems).
• Apply advanced analytics, machine learning, and AI techniques (e.g., computer vision, time-series forecasting, anomaly detection, reinforcement learning) to improve manufacturing outcomes.

• Build predictive and prescriptive models for applications such as:

Yield prediction and root cause analysis

Equipment health monitoring and predictive maintenance

Real-time process control and fault detection

Defect classification and pattern recognition

• Collaborate with cross-functional teams to translate business problems into analytical frameworks and measurable KPIs.
• Deploy and monitor ML models in production environments, ensuring reliability, scalability, and compliance with fab data governance standards.
• Stay current with emerging AI/ML technologies and assess their applicability to semiconductor manufacturing challenges.
• Document methodologies, share insights through dashboards/reports, and support continuous improvement initiatives.

Required Qualifications

• Minimal Bachelor in Data Science, Computer Science, Electrical Engineering, Industrial Engineering, Applied Mathematics, or a related field preferred.
• 2+ years of experience applying data analytics and/or machine learning in semiconductor manufacturing or fab automation.
• Knowledge of semiconductor processes (e.g., lithography, etch, deposition) or equipment data standards (SECS/GEM, GEM300)
• Strong programming skills in Python (pandas, scikit-learn, TensorFlow/PyTorch) and SQL.
• Experience working with time-series data, sensor data, or structured/unstructured manufacturing data.
• Familiarity with cloud platforms (AWS, Azure, or GCP) and big data tools (e.g., Spark, Kafka).
• Understanding of statistical methods, experimental design, and model validation techniques.
• Excellent problem-solving, communication, and teamwork skills.

Employment Type: Contract (12 months)
Location: Upper Changi Road North
Working Hours:

• Monday to Thursday: 8:15am – 5:45pm
• Friday: 8:15am – 5:15pm

Role Overview

We are seeking a motivated individual to support data analytics and process improvement initiatives within training operations. This role focuses on analysing training data, enhancing operational workflows, and supporting improvements in programme delivery, reporting, and governance.

You will collaborate with stakeholders to strengthen training processes through data-driven insights and systematic improvements.

Key Responsibilities

Data Analytics & Performance Insights

• Analyse training and operational data to evaluate programme effectiveness
• Develop reports, dashboards, and tracking tools for key metrics
• Identify trends and areas for improvement to support decision-making

Process Improvement & Innovation

• Review and improve workflows related to training operations (e.g. invoicing, certification, data management)
• Implement standardised procedures and quality controls
• Support continuous improvement initiatives to enhance efficiency

Training Systems & Operations Coordination

• Support digital training content management and distribution
• Coordinate certification processes and system workflows
• Assist in implementation of training systems and enhancements

Strategic Support & Reporting

• Conduct operational reviews and support process optimisation efforts
• Prepare reports with insights and recommendations
• Support operational assessments across training locations
• Provide general support to meet organisational and divisional objectives

Requirements

• Degree in any discipline
• 1–2 years of relevant working experience preferred
• Background in data analytics, programme coordination, or learning & development is an advantage
• Strong analytical and problem-solving skills
• Good communication and report-writing abilities
• Proficiency in data tools and IT systems
• Strong organisational and coordination skills
• Ability to manage multiple tasks with attention to detail

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The Alibaba-NTU Global e-Sustainability CorpLab (ANGEL) represents a key collaboration between Alibaba Group and Nanyang Technological University (NTU). Supported by the Singapore RIE2025 Fund, ANGEL creates and deploys impactful green digital technologies for global sustainability.

ANGEL’s mission aligns seamlessly with Singapore’s national objectives, such as the Singapore Green Plan 2030 and the Singapore Smart Nation Initiative. ANGEL’s work in developing sustainable and equitable digital solutions and promoting a sustainable and green lifestyle will contribute to a smaller carbon footprint. Its holistic approach will help to secure a brighter, more sustainable future for humanity. 

Job Responsibilities:

• Conduct research on deep learning applications for carbon measurement, route optimization, and logistics sustainability.

• Develop AI models for large-scale data analysis to enhance carbon management.

• Apply time-series and spatial-temporal data mining to forecast logistics efficiency and carbon emissions, supporting sustainable practices.

Job Requirements:

• Ph.D. degree in Computer Science, Artificial Intelligence, Data Science, or a related field.

• Proficient in data analysis and data mining, capable of extracting and interpreting complex data sets to improve efficiency.

• Demonstrated strong capacity to work collaboratively within multi-disciplinary teams on projects that emphasize sustainability.

• Publications in recognized conferences or journals in relevant fields.

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

The Alibaba-NTU Global e-Sustainability CorpLab (ANGEL) represents a key collaboration between Alibaba Group and Nanyang Technological University (NTU). Supported by the Singapore RIE2025 Fund, ANGEL creates and deploys impactful green digital technologies for global sustainability.

ANGEL’s mission aligns seamlessly with Singapore’s national objectives, such as the Singapore Green Plan 2030 and the Singapore Smart Nation Initiative. ANGEL’s work in developing sustainable and equitable digital solutions and promoting a sustainable and green lifestyle will contribute to a smaller carbon footprint. Its holistic approach will help to secure a brighter, more sustainable future for humanity. 

We are looking for a Research Scientist to advance cutting-edge research in artificial intelligence and machine learning by designing and developing innovative models and algorithms.

Key Responsibilities:

• Designing and conducting comprehensive research in artificial intelligence and machine learning, with a focus on efficient learning and large language models.

• Developing, implementing, and evaluating advanced machine learning models and algorithms to address challenging research problems and improve performance in real-world applications.

• Utilizing large-scale models and state-of-the-art learning frameworks to analyze complex data, enhance model efficiency, and improve robustness under limited-data, imbalanced-data, or distribution-shift settings.

Job Requirements:

• PhD in Computer Science, Data Science, or a closely related field.

• Strong research background in machine learning and artificial intelligence, with expertise in relevant areas such as efficient learning, transfer learning, LLMs, or computer vision.

• Proven experience in high-level research, including publications in top-tier journals and conferences.

• Ability to work independently and collaboratively, with good written and verbal communication skills.

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

The Fraunhofer-NTU Research Centre Lab is an autonomous research centre of NTU and Fraunhofer Society, focusing on developing technically advanced solutions in the areas of applied and translational research, quantum technologies, artificial intelligence, advanced communications and cybersecurity capabilities.

The work will be in joint collaboration with the NRF CREATE programme Singapore Aquaculture Solution Centre SAS-C, HUJ, NUS, A*STAR and industrial partners.

Research Associate, Data Analytics for Animal Stress Detection and Early Warning Systems in Controlled Environmental Aquaculture

We are seeking a dedicated and innovative researcher to join our translational research team at the Fraunhofer-NTU Research Centre as part of the NRF CREATE programme Singapore Aquaculture Solution Centre (SAS-C). This position is tailored for candidates with expertise in AI related to risk assessment aquaculture health and stress detection.

You will focus on the experimental development and deployment of multimodal animal stress detection and monitoring systems, supporting the creation of robust early warning and stress classification pipelines in close collaboration with fish farming industry R&D. This role complements ongoing work in AI-based decision-making and is ideal for candidates who combine field experimentation with advanced data analytics and system integration.

We invite applicants to join us as a Research Associate (full-time). You will be part of the Fraunhofer-NTU Research Centre in collaboration with the NRF CREATE programme Singapore Aquaculture Solution Centre SAS-C.

Key Responsibilities:

• Research and develop methodologies and practical tools for fish stress and health assessment through behavior recognition, data analytics, and biosignal interpretation (e.g., growth rate estimation, movement, coloration).

• Design and implement experiments for detecting stress markers using underwater cameras, and other sensors and modalities in industrial environments (RAS farm)

• Integrated validate pipelines for fish biometrics, posture and movement analysis, feeding behavior monitoring, and associated data analytics.

• Investigate and integrate physiological, behavioral and environmental data from diverse IoT environmental sensors for multi-modal stress detection together with the team.

• Perform sensor deployment experiments in controlled and semi-controlled aquaculture environments; optimize and calibrate and validate sensor streams for real-time analytics.

• Prototype and test AI-assisted pipelines for early detection of stress events using real-world sensor datasets.

• Collaborate closely with aquaculture operators, sensor developers, and AI researchers to translate findings into operational use cases.

• Prepare data collection frameworks and work on fish health monitoring datasets for machine learning training and benchmarking.

• Support the development of translational “lab-on-farm” demonstrators for on-site aquaculture pilots, including sensor placement strategies and field data validation in Singapore.

• Publish and present research outcomes in high-impact journals and conferences in bioengineering, aquaculture systems, and computer vision.

Job Requirements:

• MSc in Computer Science, AI, other fields such as Cyber Security related to risk assessment and early warning systems, or a related field with emphasis on biosignal analysis and multi-modal data analytics systems, early warning or foresight

• Proven experience in data analysis, data processing, or physiological signal interpretation.

• Strong foundation in AI, deep learning and machine learning frameworks; experience with video annotation tools and datasets.

• Hands-on experience with experimental setups.

• Demonstrated ability to work in interdisciplinary teams involving engineers, biologists, and field practitioners.

• Strong problem-solving and systems thinking mindset; practical, application-oriented approach to R&D.

• Excellent communication skills; experience working in multi-stakeholder, cross-cultural environments is a plus.

We regret that only shortlisted candidates will be notified.