Total 196 software engineer job vacancies in Education / Training category in Australia

Established in 2010, the Energy Research Institute @ NTU (ERI@N) is a pan-university research institute that focuses on systems-level research for tropical megacities. It performs translational research that covers the energy value chain from generation to innovative end-use solutions, motivated by industrialisation and deployment. ERI@N has multiple Interdisciplinary Research Programmes which focus on translational Research, Development & Deployment which focus on specific area of the energy value chain, and a number of Living labs and Testbeds which facilitate large scale technology deployment enabling validation and demonstration of real-world applications.

For more details, please view https://www.ntu.edu.sg/erian

You will be part of a dynamic research team working on topics relevant to the Sustainable Built Environment (SBE). The SBE team focuses on building energy modelling and simulation, decarbonization strategies for the built environment and R&D of green building technologies such as HVAC systems, thermal energy storage, data-driven building control systems and other novel solutions for the urban built environment sector. This position is to recruit a member of the research team to work on a project on sustainable indoor farming.

Key Responsibilities:

• You will need to actively support SBE projects at ERI@N in terms of project R&D, technology evaluation, project coordination, and stakeholder interfacing.

• The role will include the following:

  • Lead in technical project management for ongoing projects; coordination with project partners, industry and other external stakeholders.

  • Lead project team in deployment of testbeds and instrumentation for testing and validation of agitech/green building solutions e.g. equipment or hardware/software systems.

  • Conduct research, analysis and performance assessment of agritech/green building testbeds.

  • Lead in preparation and submission of project reports/test reports.

  • Work closely with industry partners to realize synergies in testbeds, site implementation and demonstration.

  • Engage stakeholders at management and working levels internally as well as with external funding agencies, collaborators and industry partners, including delivering presentations and guiding discussions or workshops as necessary.

  • Assist in authoring of technical publications for completed or ongoing research projects.

• You will be an integral part of the SBE team and will need to participate in project discussions especially related to project implementation details.

• Familiarity with green building technology, HVAC system study and optimization, sustainable building design, and building energy modelling, CFD modelling or BIM modelling for built environment applications is preferred.

• Knowledge in test instrumentation, PLC programming and cloud-based/IoT applications is preferred.

• Prior experience in sustainability standards and green building accreditations would be advantageous.

Job Requirements:

• Master’s degree in Engineering (e.g. Mechanical, Clean/Renewable Energy, Building-related) or Sustainable Building Design.

• 3 years or more of experience in sustainable design or analysis for the built environment, including Green Mark or LEED projects, and M&E construction or development.

• Proficient in MS Office and relevant tools such as BIM, CFD, or energy modelling software.

• Hands-on and adaptable, with the willingness to take on non-routine tasks.

• Strong written and verbal communication skills, able to manage multiple stakeholders, work under tight timelines, and perform effectively both independently and as part of a team, with a positive attitude.

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

About the Role

An exciting opportunity has arisen to join our Cloud Infrastructure Platform and Solutions (CIPS) Research Team. Our CIPS Research team is focussed on developing future technology systems to support growth in the rapidly evolving data center sector. The successful candidate will be directly involved in early-stage research projects, working with academic institutions, suppliers, customers, and partners to deliver proof of concept designs.

Key Responsibilities:

• Fundamental Research – Complete literature reviews and studies to explore existing and future data center cooling system technologies.
• Ideation – Identify problems, future needs or market gaps to establish areas of interest.
• Project Definition – Produce clear target requirements that the solution must meet.
• Concept Proposal – Generate multiple potential design concepts and choose the best solution based on the defined requirements and feasibility analysis.
• Proof of Concept – Create detailed designs, complete simulations and build test setups to demonstrate the technical feasibility of the proposed system.
• Documentation – Write research reports, design guides, patents and performance reports.

Requirements:

• PhD or Master’s degree in Mechanical / Electromechanical Engineering or related field.
• Strong understanding of thermal management, fluid dynamics and electromechanical fundamentals and common technologies.
• Experience with mechanical drawings, prototyping and supplier assessment.
• Knowledge of heat exchangers, fluid dynamics, liquid cooling systems and material science.
• Hands-on prototyping and testing experience with pumps, motors, valves, manifolds, and sensors.
• Familiarity with manufacturing processes and design constraints.
• Expertise in using simulation tools to aid the development and assessment of the proposed solution (ANSYS, COMSOL, OpenFOAM, etc).
• Strong analytical, problem-solving, and communication skills.
• Demonstrated passion for innovation and commitment to continuous learning.
• We welcome applicants at all experience levels, from graduates to seasoned professionals.

Why Join Us

• Work in a world-class R&D environment with well-equipped labs, top-tier industry connections and collaborative teams.
• Shape the future of energy-efficient data storage and AI cloud computing – from renewable energy integration to next generation infrastructure.
• Opportunities to publish, patent and innovate designs for future products.
• Competitive compensation, research autonomy and a continuous learning culture.

About the Role

An exciting opportunity has arisen to join our Cloud Infrastructure Platform and Solutions (CIPS) Research Team. Our CIPS Research team is focussed on developing future technology systems to support growth in the rapidly evolving data center sector. The successful candidate will be directly involved in early-stage research projects, working with academic institutions, suppliers, customers, and partners to deliver proof of concept designs.

Key Responsibilities:

• Fundamental Research – Complete literature reviews and studies to explore existing and future data center cooling system technologies.
• Ideation – Identify problems, future needs or market gaps to establish areas of interest.
• Project Definition – Produce clear target requirements that the solution must meet.
• Concept Proposal – Generate multiple potential design concepts and choose the best solution based on the defined requirements and feasibility analysis.
• Proof of Concept – Create detailed designs, complete simulations and build test setups to demonstrate the technical feasibility of the proposed system.
• Documentation – Write research reports, design guides, patents and performance reports.

Requirements:

• PhD or Master’s degree in Mechanical / Electromechanical Engineering or related field.
• Strong understanding of thermal management, fluid dynamics and electromechanical fundamentals and common technologies.
• Experience with mechanical drawings, prototyping and supplier assessment.
• Knowledge of heat exchangers, fluid dynamics, liquid cooling systems and material science.
• Hands-on prototyping and testing experience with pumps, motors, valves, manifolds, and sensors.
• Familiarity with manufacturing processes and design constraints.
• Expertise in using simulation tools to aid the development and assessment of the proposed solution (ANSYS, COMSOL, OpenFOAM, etc).
• Strong analytical, problem-solving, and communication skills.
• Demonstrated passion for innovation and commitment to continuous learning.
• We welcome applicants at all experience levels, from graduates to seasoned professionals.

Why Join Us

• Work in a world-class R&D environment with well-equipped labs, top-tier industry connections and collaborative teams.
• Shape the future of energy-efficient data storage and AI cloud computing – from renewable energy integration to next generation infrastructure.
• Opportunities to publish, patent and innovate designs for future products.
• Competitive compensation, research autonomy and a continuous learning culture.

About the Role:

An exciting opportunity has arisen to join our Cloud Infrastructure Platform and Solutions (CIPS) Research Team. Our CIPS Research team is focussed on developing future technology systems to support growth in the rapidly evolving data center industry. The successful candidate will be directly involved in early-stage research projects, working with academic institutions, suppliers, customers, and partners to deliver proof of concept designs.

Key Responsibilities:

• Monitor market trends and research to identify breakthrough opportunities in power architectures and converter topologies for data centers.
• Drive technical excellence across design, modelling, simulation, prototyping and performance testing of new power conversion topologies, control schemes and components.
• Oversee critical design reviews and own technical project direction.
• Represent the company as a subject matter expert when engaging with suppliers, customers, and partners.
• Help to create, review and improve research project processes, from idea creation to project transfer deliverables.
• Identify the skills needed in the team and support recruitment of suitable engineers.
• Work with a commitment to continuous improvement, transparency, and technical expertise.
• Work as a hands-on individual contributor, researching key topics and delivering ideas, designs, and documentation.

Requirements:

• PhD or Master’s degree in Electrical / Electronic Engineering or related field.
• 8+ years’ experience in power electronics research, with increasing mentorship responsibilities.
• Expertise in power electronics, including common topologies, magnetics, control schemes and components.
• Experience with architecture drawings, electronic schematics, component datasheets and PCB layout drawings.
• Knowledge of embedded software (C/C++) and coding practices is preferred.
• Hands-on prototyping and testing experience using oscilloscopes, electronic loads and power analysers.
• Familiarity with SiC/GaN devices, EMI, HVDC, solid state transformers, thermal design and regulatory standards.
• Expertise in using simulation tools (MATLAB, Simulink, LTspice, Python, etc).
• Strong analytical, problem-solving, leadership and communication skills.
• Demonstrated passion for innovation and commitment to continuous learning.

Why Join Us:

• Work in a world-class R&D environment with well-equipped labs, top-tier industry connections and collaborative teams.
• Shape the future of energy-efficient data storage and AI cloud computing – from renewable energy integration to next generation infrastructure.
• Opportunities to publish, patent and innovate designs for future products.
• Competitive compensation, research autonomy and a continuous learning culture.

About the Role:

An exciting opportunity has arisen to join our Cloud Infrastructure Platform and Solutions (CIPS) Research Team. Our CIPS Research team is focussed on developing future technology systems to support growth in the rapidly evolving data center sector. The successful candidate will be directly involved in early-stage research projects, working with academic institutions, suppliers, customers, and partners to deliver proof of concept designs.

Key Responsibilities:

• Fundamental Research – Complete literature reviews and studies to explore existing and future hardware topologies, components and control methods.
• Ideation – Identify problems, future needs or market gaps to establish areas of interest.
• Project Definition – Produce clear target requirements that the solution must meet.
• Concept Proposal – Generate multiple potential design concepts and choose the best solution based on the defined requirements and feasibility analysis.
• Proof of Concept – Create detailed designs, complete simulations and build test setups to demonstrate the technical feasibility of the proposed system.
• Documentation – Write research reports, design guides, patents and performance reports.

Requirements:

• PhD or Master’s degree in Electrical / Electronics Engineering or related field.
• Strong understanding of electronics hardware design and common power electronic architectures (AC/DC, DC/AC, DC/DC, etc).
• Experience with architecture drawings, electronic schematics, component datasheets and PCB layout drawings.
• Knowledge of embedded software (C/C++) and coding practices is preferred.
• Hands-on prototyping and testing experience using oscilloscopes, electronic loads and power analysers.
• Familiarity with SiC/GaN devices, magnetics design, EMI, and thermal management.
• Expertise in using simulation tools to aid the development and assessment of the proposed solution (MATLAB, Python, Simulink, LTspice, etc.)
• Strong analytical, problem-solving, and communication skills.
• Demonstrated passion for innovation and commitment to continuous learning.
• We welcome applicants at all experience levels, from recent graduates to seasoned professionals.

Why Join Us:

• Work in a world-class R&D environment with well-equipped labs, top-tier industry connections and collaborative teams.
• Shape the future of energy-efficient data storage and AI cloud computing – from renewable energy integration to next generation infrastructure.
• Opportunities to publish, patent and innovate designs for future products.
• Competitive compensation, research autonomy and a continuous learning culture.

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

The candidate will be responsible for conducting research on robust evaluation of AI=generated code. Successful candidate will be part of an active research team led by Prof WYNTER from School of Computing and Information Systems (SCIS), Singapore Management University (SMU).

• Research into new methods.
• Preparation and carrying out experimental tests.
• Writing research papers of a quality suitable for publication in top venues.
• Other duties as assigned.

• Minimum Master's with preference a PhD degree in Computer Science, Information Technology, Information Systems or closely related disciplines from a reputable institution of higher learning; with particular focus on Gen AI.
• Minimum 2 years of relevant research experience Gen AI including writing and publishing papers.
• Proficiency in programming software/languages such as python will be positively considered/ is required.
• Proven track record and professional experience in publishing research papers.
• Ability to break down complex problems and design effective solutions.
• Innovating new approaches and thinking outside the box.
• Applicants with research publications in Gen AI and classic AI area will be advantageous.
• Ability to work cooperatively as part of a small, agile academic research team is essential.
• Self-motivated individual who can work independently and collaboratively with team members.

#LI-JN2

About the Role

An exciting opportunity has arisen to join our Cloud Infrastructure Platform and Solutions (CIPS) Research Team. Our CIPS Research team is focussed on developing future technology systems to support growth in the rapidly evolving data center sector. The successful candidate will be directly involved in early-stage research projects, working with academic institutions, suppliers, customers, and partners to deliver proof of concept designs.

Key Responsibilities:

• Fundamental Research – Complete literature reviews and studies to explore existing and future data center cooling system technologies.
• Ideation – Identify problems, future needs or market gaps to establish areas of interest.
• Project Definition – Produce clear target requirements that the solution must meet.
• Concept Proposal – Generate multiple potential design concepts and choose the best solution based on the defined requirements and feasibility analysis.
• Proof of Concept – Create detailed designs, complete simulations and build test setups to demonstrate the technical feasibility of the proposed system.
• Documentation – Write research reports, design guides, patents and performance reports.

Requirements:

• PhD or Master’s degree in Mechanical / Electromechanical Engineering or related field.
• Strong understanding of thermal management, fluid dynamics and electromechanical fundamentals and common technologies.
• Experience with mechanical drawings, prototyping and supplier assessment.
• Knowledge of heat exchangers, fluid dynamics, liquid cooling systems and material science.
• Hands-on prototyping and testing experience with pumps, motors, valves, manifolds, and sensors.
• Familiarity with manufacturing processes and design constraints.
• Expertise in using simulation tools to aid the development and assessment of the proposed solution (ANSYS, COMSOL, OpenFOAM, etc).
• Strong analytical, problem-solving, and communication skills.
• Demonstrated passion for innovation and commitment to continuous learning.
• We welcome applicants at all experience levels, from graduates to seasoned professionals.

Why Join Us

• Work in a world-class R&D environment with well-equipped labs, top-tier industry connections and collaborative teams.
• Shape the future of energy-efficient data storage and AI cloud computing – from renewable energy integration to next generation infrastructure.
• Opportunities to publish, patent and innovate designs for future products.
• Competitive compensation, research autonomy and a continuous learning culture.

About the Role:

An exciting opportunity has arisen to join our Cloud Infrastructure Platform and Solutions (CIPS) Research Team. Our CIPS Research team is focussed on developing future technology systems to support growth in the rapidly evolving data center industry. The successful candidate will be directly involved in early-stage research projects, working with academic institutions, suppliers, customers, and partners to deliver proof of concept designs.

Key Responsibilities:

• Monitor market trends and research to identify breakthrough opportunities in power architectures and converter topologies for data centers.
• Drive technical excellence across design, modelling, simulation, prototyping and performance testing of new power conversion topologies, control schemes and components.
• Oversee critical design reviews and own technical project direction.
• Represent the company as a subject matter expert when engaging with suppliers, customers, and partners.
• Help to create, review and improve research project processes, from idea creation to project transfer deliverables.
• Identify the skills needed in the team and support recruitment of suitable engineers.
• Work with a commitment to continuous improvement, transparency, and technical expertise.
• Work as a hands-on individual contributor, researching key topics and delivering ideas, designs, and documentation.

Requirements:

• PhD or Master’s degree in Electrical / Electronic Engineering or related field.
• 5+ years’ experience in power electronics research, with increasing mentorship responsibilities.
• Expertise in power electronics, including common topologies, magnetics, control schemes and components.
• Experience with architecture drawings, electronic schematics, component datasheets and PCB layout drawings.
• Knowledge of embedded software (C/C++) and coding practices is preferred.
• Hands-on prototyping and testing experience using oscilloscopes, electronic loads and power analysers.
• Familiarity with SiC/GaN devices, EMI, HVDC, solid state transformers, thermal design and regulatory standards.
• Expertise in using simulation tools (MATLAB, Simulink, LTspice, Python, etc).
• Strong analytical, problem-solving, leadership and communication skills.
• Demonstrated passion for innovation and commitment to continuous learning.

Why Join Us:

• Work in a world-class R&D environment with well-equipped labs, top-tier industry connections and collaborative teams.
• Shape the future of energy-efficient data storage and AI cloud computing – from renewable energy integration to next generation infrastructure.
• Opportunities to publish, patent and innovate designs for future products.
• Competitive compensation, research autonomy and a continuous learning culture.

You will lead / support efforts to scale and shape a comprehensive learning ecosystem that embeds a strong Tech Risk mindset across our technologist population. You will lead / support the design, delivery, and continuous enhancement of trainings, scenario-based modules, peer-learning forums, and digital-first campaigns in alignment with the Tech Risk Culture (TRC) framework.

You will also be responsible for in-house creativeexecution and copywriting of related internal communications, translating complex risk concepts into engaging multimedia assets without reliance on external creative agencies.

Key Responsibilities

1. Curriculum Strategy & Design

- Core Tech Risk Culture Content: including Tech Risk Culture Statement & Behaviours, Red Lines, Accountability Framework,
Tech Risk KPIs, RISE Framework, 3 Lines of Defence, etc.

- Scenario-Based Learning: Lead / support development and rollout of Tech Risk case-study modules.

- Tech Risk Culture Training: Support thecontent development or refresh with a focus on Tech Risk topics.

2. Delivery & Execution

- Directed Unit Learning: Partner with Tech Unit leads to tailor ongoing, role-based learning (e.g. Workplace Hygiene, Desired Behaviours, Risk Appetite, Accountability & Ownership) and track completion.

- Social & Peer Learning: Curate and facilitate monthly incident-based learning sessions, turning real-world case studies into collaborative knowledge exchanges.

3. Digital & Campaign Management

- E-Learning & Gamification Platform:Leverage gamification engine and e-learning authoring tools to deploy digital learning at scale and measure platform engagement.

- In-House Creative Production:Independently design, develop, and deploy a wide range of visual and multimedia communication assets (e.g., eDMs, digital signage / lift banners, infographics, SharePoint / microsite content, and short-form videos).

- Copywriting: Draft compelling, jargon-free, and behaviourally informed copy for internal campaigns, newsletters, and leadership talking points that resonate with a highly technical audience.

- Internal Marketing: Support marketing and communications campaigns to reinforce key learnings and call out desired riskbehaviours.

4. Measurement & ContinuousImprovement

- KPI Tracking: Define and monitor adoption, knowledge-retention, and behaviour-change metrics across all learning streams.

- Feedback Loops: Solicit learner feedback, conduct periodic content audits, and refine modules iteratively to stay aligned with evolving Tech Risk Culture priorities.

Qualifications & Experience

- 10+ years in corporate Learning & Development,
Internal Communications, or equivalent.

- Proven track record designing and scaling adult learningprograms – especially scenario-based, behavioural science–informed,and risk-related curriculum.

- Good working knowledge of digital learning tools: LMSplatforms, gamification engines, e-learning authoring software (e.g., Articulate Storyline), email-marketing systems, and intranet content management systems (e.g., SharePoint).

- Experienced in Corporate Communications, Internal Comms, or Digital Marketing, with a strong portfolio demonstrating self-produced visual and written campaigns.

- Good understanding of risk frameworks (3 Lines of Defence, RISE, KPIs) and change management best practices.

- Strong stakeholder management skills; comfortable partnering with senior technologists, risk leaders, and sponsors.

- Hands-on proficiency with creative design and multimediatools (e.g., Adobe Illustrator, Photoshop, Canva, Figma, or videoediting software).

- Excellent copywriting and editorial skills, with the ability to adapt tone and voice for different internal channels and leadership personas.

- Experience in applied behavioural science or equivalent would be an advantage.

Core Competencies

- Strategic Learning Design:Translate complex risk concepts into compelling, bite-sized learningexperiences.

- Creative Execution & Storytelling:Ability to independently craft visually appealing and engaging narratives.Skilled at using visual design and storytelling as tools to reduce"friction-cost" and cognitive load for the learner.

- Behavioural Science Application:Leverage nudge techniques, scenario realism, and social proof to drive mindset shifts.

- Data-Driven Mindset: Use analytics and learner feedback to continuously optimize content and delivery.

- Collaborative Leadership: Build high-performing L&D teams and foster cross-functional partnerships.

- Change Advocacy: Act as a visible champion for Tech Risk Culture, inspiring technologists to own and sustain safe practices.

This job advertisement is posted by:

Tan Geok Khim (Deng Yuqin) (R22107857)

A-IT Software Services Pte Ltd

EA License No: 24C2345

Role Description

You will be playing a pivotal role in advancing semiconductor fabrication automation. You will be responsible for deploying and optimizing automation frameworks, integrating IoT hardware/software, and enabling seamless communication between Autonomous Mobile Robots (AMR), SECS/GEM protocols, Manufacturing Execution Systems (MES), and semiconductor tools.

Key Responsibilities

• MES Integration & Vendor Coordination: Collaborate with vendors to evaluate, configure, and deploy robust communication systems between MES, tools, and AMR.
• Software Development & Web UI Creation: Design and develop intuitive web-based user interface for seamless user interaction, system monitoring, and operational control. 
• Automated Data Analytics & Visualization: Generate automated periodic insights, analytics, reports, visualizations, and alerts to support real-time decision-making processes.
• System Maintenance & Optimization: Conduct periodic data integrity checks, implement automated failure alerts, troubleshoot system issues, and enhance automation frameworks with innovative features for existing and new systems.
• Semiconductor Fab Automation: Responsible for proposing/developing/implementing/maintaining IOT automation systems collecting/cleaning/restructuring equipment data and storage in data management system. Create equipment and operator interface enabling the ease of user entry with digital recording 

Job Requirements

• Degree in Microelectronics/Electrical/Mechanical/Chemical Engineering or equivalent
• Technical Proficiency: Strong programming skills in PHP, JavaScript, Python, or other languages commonly used in web technologies and semiconductor automation. 
• Data Analysis & Automation Expertise: Experience in data synthesis, reasoning, and analysis, with a keen ability to develop automation solutions for complex processes. Experience in AMHS (Automated Material Handling System) is a plus. 
• Industry Knowledge: Preferably 1-3 years of MES system administration experience in semiconductor process modules, equipment engineering, or digital transformation/ automation.

Job Overview

We are seeking a motivated and detail-oriented Training Engineer to support the design, development, and delivery of technical training programs for lift and escalator systems. This role is instrumental in enhancing workforce competency, reinforcing safety standards, and driving operational excellence across the organization.

Key Responsibilities

• Design, develop, and deliver structured technical training programs for lift and escalator systems
• Develop high-quality training materials, manuals, and instructional content aligned with training needs
• Conduct engaging classroom and on-site training sessions for technicians and staff
• Evaluate training effectiveness through assessments, feedback, and performance analysis; prepare comprehensive monthly training reports
• Plan, coordinate, and manage training schedules to meet operational and project requirements
• Collaborate with cross-functional teams to identify training needs and align learning initiatives
• Drive continuous improvement through data analysis, feedback collection, and training program enhancements
• Ensure all training activities comply with safety regulations, standards, and company policies
• Manage multiple training programs, projects, and administrative responsibilities concurrently

Requirements

• Bachelor’s Degree in Engineering (Mechanical, Electrical, or related discipline)
• Diploma holders with strong relevant experience will be considered (e.g. 5+ years in lifts/escalators or technical training)
• Strong technical writing and documentation skills
• Excellent presentation, communication, and facilitation skills
• Good analytical thinking and problem-solving capabilities
• Ability to manage multiple priorities in a dynamic environment
• Strong interpersonal skills with the ability to engage stakeholders across departments
• Experience in training, coaching, or knowledge transfer is advantageous
• Prior experience in the lift and escalator industry is preferred but not mandatory
• Only Singaporean and Singapore Permanent Resident need to apply

Preferred Attributes

• Confident and engaging trainer with strong facilitation skills
• Highly organized with strong attention to detail
• Proactive, self-driven, and able to work independently

Benefits

• Training and professional development opportunities (e.g., certifications, courses)
• Clear career progression pathway within engineering and training functions
• Supportive and collaborative working environment
• Opportunity to work on industry-relevant systems and technologies

We are seeking a highly skilled Machine Learning / AI Engineer to design, develop, and fine-tune AI models for a range of advanced applications, including video analytics, object recognition and detection, fraud detection, and multimodal generative AI leveraging large language models (LLMs).

Key Responsibilities

• Model Selection & Optimization: Identify, experiment with, and fine-tune state-of-the-art machine learning models for tasks such as video analytics, object recognition/detection, fraud detection, and multimodal generative AI.

• Deep Learning & LLMs: Work with transformer architectures, foundation models, and generative AI to develop and enhance multimodal AI solutions.

• Computer Vision: Develop and optimize models for real-time object detection, tracking, and recognition in video streams, ensuring performance in diverse conditions.

• Fraud Detection and other anomaly detection: Design and implement machine learning models for anomaly detection and fraud prevention using advanced statistical and AI techniques.

Technical Skills:

• Strong experience in deep learning frameworks such as TensorFlow, PyTorch, or JAX.

• Proficiency in computer vision techniques, including object detection (YOLO, Faster R-CNN), video analytics, and multimodal learning.

• Hands-on experience with LLMs, transformers (GPT, BERT, T5, CLIP, etc.), and multimodal AI for text, image, and video synthesis.

• Experience in fraud detection and/or anomaly detection using machine learning, pattern recognition, and risk modeling.

• Experience in AWS SageMaker for model training and deployment preferred.

• Familiarity with MLOps and deployment on cloud platforms (AWS and/or GCP preferred) or edge devices.

Preferred Qualifications:

• Degree in Computer Science, AI, Machine Learning, or a related field.

• 4 to 5 years of relevant experience

• Experience working with autonomous systems, robotics, or edge AI is a plus.

If the above role is a good fit for you, or if you know anyone who might be good for the role, please get in touch with an updated CV and I'll be in touch!

EA Reg Number: R1660446

EA License Number: 07C3924 

Company Registration No: 200609504D

We are looking for a motivated Research & Technical Support Engineer/Scientist to develop, maintain, and support BEOL furnace processes including BEOL metal anneal, barrier/liner engineering, dielectric curing, hydrogen anneals, and stress‑relief treatments. This role involves both fundamental materials science and hands‑on tool/process ownership in a cleanroom research environment. You will collaborate with R&D teams working on advanced interconnect technologies, photonic integration, 3D integration, and novel dielectric/metallization schemes.

Job Responsibilities:

BEOL Furnace Process Development

• Develop and optimize BEOL thermal processes including Metal anneal, Barrier/liner stabilization, Dielectric curing, Passivation and Stress‑relief anneals
• Perform tool qualification, recipe loading, chamber matching, SPC set up and contamination monitoring.
• Troubleshoot process excursions and ensure stable operations with high repeatability.
• Correlates anneal conditions with film quality, stress, adhesion, and reliability metrics.

Cross‑Functional Collaboration

• Work closely with teams in Photonic IC, Wide-Bandgap Devices, Packaging and reliability for process integration.
• Provide guidance for internal projects on thermal budgets, thermal‑stress implications, and BEOL process compatibility for novel materials and device architectures.

Job Requirements:

• Degree (Bachelor, or Master based on job scope) or above in Electrical Engineering, Materials Science, Mechanical Engineering, Chemical Engineering, Chemistry, Physics or related fields.
• 3 years of working experience in Semiconductor Fabrication is advantageous.
• Hands‑on experience with furnace processing, anneals, or BEOL‑related thermal steps is highly wanted.
• Knowledge of metallization physics, anneal passivation, interconnect reliability and dielectric curing.
• Understanding of thermal budget constraints and stress‑management in BEOL stacks.
• Hands-on experience in Design of Experiments (DOE), root cause analysis, and problem-solving methods is desired.
• Experience in Photonic IC, SiC devices, 2.5D/3D packaging and/or Wafer Bonding would be a plus.
• Proficiency with materials characterization tools, such as ellipsometry, XRD, XPS, TEM, SEM, stress measurement

We are looking for a motivated Research & Technical Support Engineer/Scientist to develop, maintain, and support BEOL furnace processes including BEOL metal anneal, barrier/liner engineering, dielectric curing, hydrogen anneals, and stress‑relief treatments. This role involves both fundamental materials science and hands‑on tool/process ownership in a cleanroom research environment. You will collaborate with R&D teams working on advanced interconnect technologies, photonic integration, 3D integration, and novel dielectric/metallization schemes.

Job Responsibilities:

BEOL Furnace Process Development

• Develop and optimize BEOL thermal processes including Metal anneal, Barrier/liner stabilization, Dielectric curing, Passivation and Stress‑relief anneals
• Perform tool qualification, recipe loading, chamber matching, SPC set up and contamination monitoring.
• Troubleshoot process excursions and ensure stable operations with high repeatability.
• Correlates anneal conditions with film quality, stress, adhesion, and reliability metrics.

Cross‑Functional Collaboration

• Work closely with teams in Photonic IC, Wide-Bandgap Devices, Packaging and reliability for process integration.
• Provide guidance for internal projects on thermal budgets, thermal‑stress implications, and BEOL process compatibility for novel materials and device architectures.

Job Requirements:

• Degree (Bachelor, or Master based on job scope) or above in Electrical Engineering, Materials Science, Mechanical Engineering, Chemical Engineering, Chemistry, Physics or related fields.
• 3 years of working experience in Semiconductor Fabrication is advantageous.
• Hands‑on experience with furnace processing, anneals, or BEOL‑related thermal steps is highly wanted.
• Knowledge of metallization physics, anneal passivation, interconnect reliability and dielectric curing.
• Understanding of thermal budget constraints and stress‑management in BEOL stacks.
• Hands-on experience in Design of Experiments (DOE), root cause analysis, and problem-solving methods is desired.
• Experience in Photonic IC, SiC devices, 2.5D/3D packaging and/or Wafer Bonding would be a plus.
• Proficiency with materials characterization tools, such as ellipsometry, XRD, XPS, TEM, SEM, stress measurement

As Singapore’s University for Industry, SIT works closely with industry partners in our research pursuits. Our research staff will have the opportunity to be equipped with applied research skill sets that are relevant to industry demands while working on research projects in SIT. The primary responsibility of this position is to deliver on a research project to develop an End-to-end misinformation and disinformation protection, awareness and mitigation pipeline. We will be recruiting a research engineers or fellows, as part of a wider project, to conduct research on: Signal processing combined with AI-based modification on speech signals. The need is for a real-time system, so efficient coding is important.

Key Responsibilities:
• Participate in and manage the research project with Principal Investigator (PI) Ian McLoughlin, Co-PI Tong Rong and the research team members to ensure all project deliverables are met. 
• Undertake research within your domain, including keeping track of state-of-the-art work. Develop the code, evaluate and test. Write academic publications.
• Deliver solution-ready demonstration code.
• Interact well within the team and the customers.
• Be self-directed to fulfil the project requirements.

Job Requirements:
• Competence in working with languages such as C along with AI applications as well as Python-based coding .
• Have a degree in Computer Science/Computer Engineering. Possessing a Master’s or PhD degree will definitely be advantageous.
• Knowledge of machine learning, pytorch, huggingface etc...
• Knowledge of speech, audio, time-series or signal processing is required.
• Ability to effectively and efficiently utilise industry-standard Linux-based computers for AI.
• Experience of authoring good quality academic publications.
• Manage undergraduate research assistants (if appropriate).
• Liaise with customers and collaborators in A*STAR and NTU, as well as collaborators in the UK and China.

Key Competencies:
• A self-directed worker who believes in continuous learning and development
• Proficient in academic writing 
• Possess good critical thinking skills
• Show strong initiative and take ownership of work
• Interest in AI, machine learning, image/audio processing