Interested applicants are invited to apply directly at the NUS Career Portal. Please note your application will only be processed if you apply via NUS Career Portal.

NUS Career Portal link: https://careers.nus.edu.sg/job/Research-Engineer-%28LLM-for-Construction-Safety%29/32519-en_GB/

We regret that only shortlisted candidates will be notified.

Job Description

The Department of Civil and Environmental Engineering at the National University of Singapore (NUS) is seeking a highly motivated and talented Research Engineer to join a groundbreaking, government-funded research project: MIDAS. This project aims to transform Design for Safety (DfS) in the construction and built environment sectors by developing an advanced, AI-driven advisory platform. MIDAS will leverage Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and multimodal data (text, images, and Building Information Models) to proactively identify design risks and recommend mitigation measures throughout a project's lifecycle. 

The successful candidate will play a pivotal role in assisting with the core technical development of the MIDAS platform, specifically focusing on multimodal data ingestion and the RAG-based LLM reasoning engine. Key responsibilities include designing the algorithms, collaborating closely with multidisciplinary teams, and leading groups of student interns. 

Job Requirements

•    At least a bachelor’s in Civil Engineering, Built Environment, Computer Science or related field from a reputable university. Masters will be preferred.
•    Evidence of strong publication record in top academic journals
•    Proficiency in programming languages, particularly in Python or Matlab for automation and data analysis tasks
•    Familiarity working with Large Language Models and building RAG architectures.
•    Familiarity with BIM, IFC and graph databases.
•    Strong research experience, specifically in past research projects related to robotics or scene graphs is required
•    Strong written and oral communication skills.
•    Open to fixed-term contract

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 School of Computing and Information Systems (SCIS).
• Design and implement AI for software engineering solutions.
• Conduct evaluations and/or user studies to validate the effectiveness of the algorithms and tools.
• Write and publish research papers and present them to reputable academic conferences.
• Package the documents, implementation code, evaluation results of the project for public release.
• Liaise with other team members of this project to realize the overall goal of the project.
• Other duties as assigned.

• Bachelor degree in Computer Science, Information Technology, or related discipline (e.g., Computer Engineering, Physics).
• 3+ years of industry experience in CI/CD automation, big data pipeline, and/or applied AI/ML
• Prior experience in vulnerability reporting and fixing, demonstrated by concrete accepted pull requests.
• Highly fluent in Python and SQL; competent in at least one additional language (e.g., C++).
• Demonstrated experience building and optimizing end-to-end data/ML pipelines.
• Hands-on experience with cloud platforms and big data tools.
• Competent in designing and implementing algorithms and data structures.
• Practical experience applying ML/AI techniques in production environments.
• Excellent knowledge about software engineering and artificial intelligence.
• Competent in designing and implementing algorithms and data structures.
• Excellent oral and written communication skills.
• Excellent analytical, technical and problem-solving skills.
• Self-motivated individual who can work independently and also collaboratively with team members.
• Able to work under strict deadlines.

#LI-JN2

Leading Travel Retail Organisation is seeking a proactive Training & Development Executive to support learning initiatives across its retail operations. This is a hands-on role combining facilitation, in-store coaching, and L&D operations, playing a key part in driving service excellence and employee engagement.

Key Responsibilities:

• Facilitate onboarding programmes for frontline and corporate employees.
• Deliver service excellence training and reinforce brand standards.
• Conduct regular store visits to provide in-store coaching and feedback.
• Manage training platforms, registrations, and compliance-related programmes.
• Coordinate mandatory training including safety and regulatory requirements.
• Prepare training reports and track participation and effectiveness.
• Support employee engagement initiatives and HR projects.
• Review and improve L&D processes and SOPs.

Key Requirements:

• Diploma or Degree in HR, Training & Development, or related field.
• Proven experience in training delivery or facilitation, preferably in retail or service environment.
• Strong communication and presentation skills.
• Proficient in Microsoft Excel and administrative reporting.
• Detail-oriented, proactive, and able to work in a fast-paced environment.

Interested applicant, kindly submit full-detailed resume to admin@clarist.com.sg

We thank all applicants for writing in.

Only shortlisted candidates will be notified.

Job Description

• Lead and contribute to advanced research efforts in 6G wireless communication technologies.
• Develop and refine technical proposals for international standards organizations (e.g., 3GPP).     
• Analyze emerging trends and integrate cutting-edge concepts (e.g., AI, energy efficiency, satellite communications) into research agenda.        
• Collaborate with interdisciplinary teams to evaluate technology feasibility and alignment with global standards.        
• Drive ecosystem engagement by participating in global alliances, industry forums, and standardization committees.        
• Mentor junior engineers in the standardization process and technical writing.

Job Requirements

• MS or PhD in Electrical Engineering, Communication Engineering or related field.        
• Expert knowledge of digital signal processing, wireless communication algorithms, or protocol design.        
• Deep familiarity with mobile communication standards (3G, 4G, 5G and beyond).       
• Strong experience in submitting and defending proposals in international standardization bodies.        
• Programming skills (C/C++, Matlab, Python) are highly desirable.
• Solid industry track record, ideally including patenting or published contributions to wireless standards.
• Preferred expertise in at least one area: AI for communications, satellite systems, or wireless energy engineering.

Young and research-intensive, Nanyang Technological University, Singapore (NTU Singapore) is ranked among the world’s top universities. NTU’s College of Computing and Data Science (CCDS) is a leading college that is known for its excellent curriculum, outstanding and impactful research, and world-renowned faculty.

A hot bed of cutting-edge technology and groundbreaking research, the College aims to groom the next generation of leaders, thinkers, and innovators to thrive in the digital age. Located in the heart of Asia, NTU’s College of Computing and Data Science is an ‘exciting place to learn and grow’. We welcome you to join our community of faculty, students and alumni who are shaping the future of AI, Data Science and Computing.

Key Responsibilities:

• Design and integrate databases with user interfaces and dashboards within cloud computing environments.

• To develop and deploy AI-driven modules across cloud and on-premises environments, supporting end-to-end integration, testing, and delivery.

• To develop interactive dashboards and user interfaces to visualize model outputs, data insights.

• Collaborated with research teams in continuously improving system performance through experimentation and AI model training and finetuning.

Job Requirements:

• Preferably Master in Computer Engineering, Computer Science, Electronics Engineering or equivalent.

• Independent, highly analytical, proactive and a team player

• Excellent teamwork and verbal, written communication skills

• In-depth knowledge relevant to the project domain.

• Demonstrated capability to conduct innovative research.

• The ability and willingness to adapt and incorporate novel ideas and approaches in scientific industry.

• Demonstrated ability to formulate hypothesis and design effective experimental plans.

• Ability to design and implement new experimental methods.

• High-level expertise in the required experiment or modelling methods.

• Ability to initiate collaboration research in multidisciplinary team.

• Oversee and report project progress.

• Ability and willingness to work some flexible hours.

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

• The candidate will conduct research on automatically analyzing Android applications and summarizing systems logs.
• Responsible for designing and implementing graphical user interfaces for various systems in this project, including the system for analyzing Android applications, the system for monitoring Android application executions, the website showcasing various project outputs, etc.
• Assist in developing the corresponding Android applications.
• Design, implement, and evaluate the user interfaces of various system components.
• Modify and improve existing systems that perform analysis on Android applications.
• Other duties as assigned.

• Minimum Bachelor's degree in computer science, information technology, information systems, or closely related disciplines.
• Masters degree is a plus.
• Good communication skills in English.
• Past research experience in computer security and software engineering is a plus.
• Advanced level of programming and software implementation, especially in C/C++ and Java.
• Good understanding of Android architecture and Android executables.
• Good analytical, technical, and problem-solving skills.
• Knowledgeable in software security problems and solutions.
• Applicants with research publications in security area will be advantageous.
• Self-motivated individual who can work independently and also collaboratively with team members.

#LI-JN2

Role Summary

The incumbent is responsible for plan, develop, and execute semiconductor test programs, perform debugging and analysis, and generate quality reports to ensure our products meet high reliability and performance standards. You will work closely with cross-functional teams including R&D, Production, and Customer Support.

Role Responsibilities

Test Planning & Development

· Develop, document, and execute detailed test plans, procedures, and results based on product requirements and specifications.

· Develop and maintain semiconductor test programs.

· Support electronic circuit design validation.

· Coordinate with customers and internal departments to clarify specifications and requirements.

Test Execution, Debugging & Analysis

· Conduct various types of testing, including functional, integration, performance, and usability testing.

· Execute manual and automated test routines to validate product functionality.

· Use defect tracking tools to identify, document, and analyse issues; provide clear findings and recommendations.

· Ensure test programs meet efficacy, reliability, and quality standards.

Quality Documentation & Reporting

· Record all test procedures, results, and observations.

· Prepare clear and concise reports on product quality and test outcomes.

· Recommend improvements to products and testing processes.

Role Requirements

· Bachelor’s or Master’s degree in Electrical, Electronics, or related field.

· Experience in software/hardware testing, preferably in the semiconductor or electronics industry.

· Basic knowledge of electronic circuit design and logical analysis.

· Proficiency with test equipment (oscilloscope, multimeter, logic analyzer, etc.).

· Experience in programming languages such as C, C++, VB, or equivalent.

· Strong analytical skills with high attention to detail.

· Ability to work independently and manage multiple tasks in a fast-paced environment.

The AUMOVIO-NTU Corp Lab is a strategic research collaboration between NTU and AUMOVIO, focusing on developing technically advanced solutions in the areas such as sustainable materials engineering, artificial intelligence, advanced communications and cybersecurity capabilities for future urban mobility applications. We aim to develop innovative solutions that can be commercialized into products and services for AUMOVIO through close collaboration with its business units.

We are looking for a Research Engineer who will contribute to the design, implementation, and optimization of transceivers and couplers for reliable signal transmission and reception over vehicular powerlines.

Key Responsibilities:

• Design, develop, and implement PCB-based transceiver circuits for transmitting and receiving data signals over powerlines.

• Develop adaptive couplers capable of delivering reflectionless signal transmission and reception under varying source and load terminations.

• Design and optimize filtering solutions to prevent signal interference with other electronic components in the system.

• Collaborate with communication systems researchers to enable the generation and processing of the required PLC waveforms.

• Work closely with the specialists to refine prototypes and ensure full compliance with electromagnetic compatibility (EMC) standards.

• Define specifications, select and order components, connectors, cables to withstand automotive operating conditions

• Prepare reports, discuss test results, present to stakeholders, and track progress.

Job Requirements:

• Bachelor’s degree in electrical engineering, electronics engineering, communications engineering, or related fields.

• Familiarity with SPICE, S-parameter circuit models and ability to simulate & optimize for S-parameters.

• Ability to perform schematic capture, PCB layout design for filters/RF coupler circuits, and to generate Bill of Materials and Gerber files.

• Soldering, troubleshooting, and basic mechanical fixing for prototyping.

• Hands-on experience in using multimeter, oscilloscope, spectrum analyzer, and vector network analyzer.

• Background in microwave circuit design, signal generation and processing.

• Experience in Altium Designer, LabVIEW, MATLAB, Keysight ADS, CST or similar tools

• Excellent problem-solving and analytical skills.

• Knowledge of transceiver and coupler design is a plus.

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

Job Title: Learning Ambassador

Role Overview

The Learning Ambassador supports learners throughout their training journey by enhancing the overall classroom experience and providing guidance on their next steps in skills development.

This is a learner engagement and advisory role, focused on building rapport, understanding learner needs, and encouraging continued learning through soft, consultative engagement.

Key Responsibilities

Learner Engagement & Support

• Engage learners before, during, and after classes to ensure a positive learning experience

• Build rapport to understand learners’ goals, motivations, and interests

• Provide general assistance and support during class where required

Learning Advisory (Soft Engagement)

• Introduce learners to:

  • Digital tools for productivity & self improvement

  • Learning Pathways

  • Relevant courses and progression options

• Provide personalised recommendations based on learner needs

• Guide learners in selecting suitable next courses aligned to their goals

• Facilitate enrolment of learners into their next course based on consultation and identified learning needs

• Encourage continued learning in a non-pushy, advisory manner

In-Class Facilitation

• Support trainers and learners during class sessions and break times

• Conduct short sharing sessions or engagements where required

• Engage learners through informal conversations and activities

• Guide learners on their learning journey and next steps

Learner Experience

• Gather feedback and insights from learners

• Highlight concerns and improvement opportunities to the team

Key Competencies

• Strong communication and interpersonal skills

• Confident in engaging groups and individuals

• Ability to influence through relationship-building and advisory

• Adaptable in a fast-paced classroom environment

Success Indicators

• Positive learner engagement and experience

• Strong rapport with learners

• Increased awareness of learning pathways

• Effective guidance towards continued learning

Role Overview

We are seeking an experienced Learning Intervention Teacher who can integrate seamlessly into our multidisciplinary team and make an immediate instructional impact. Reporting to the Team Leader for Education, the successful candidate will be responsible for teaching children with learning difficulties, addressing both behavioural and academic needs, and delivering high-quality education aligned with the organisation’s philosophy, standards, and guidelines.

Key Responsibilities

1. Programme Delivery & Implementation

• Deliver educational programmes in accordance with the organisation’s philosophy, curriculum framework, and established guidelines.

2. Student Assessment & Progress Monitoring

• Conduct periodic assessments to evaluate student progress and ensure alignment with agreed learning objectives.

• Use assessment data to inform instructional planning and intervention strategies.

3. Professional Practice & Standards

• Execute all teaching and related duties professionally and in compliance with organisational policies and ethical standards.

4. Feedback, Communication & Collaboration

• Provide timely and constructive feedback to the Director for Education and parents regarding student progress, challenges, and learning outcomes.

• Collaborate with management and colleagues to improve instructional practices and operational processes.

5. Teaching Materials & Lesson Documentation

• Develop and customise teaching materials tailored to each student’s individual goals and learning needs.

• Document lesson plans, teaching strategies, and student outcomes after each session.

6. Individualised Education Plans (IEPs)

• Design, implement, and review Individualised Education Plans (IEPs) for each student.

• Ensure IEP goals are measurable, achievable, and reviewed regularly.

7. Documentation & Records Management

• Maintain accurate, organised, and up-to-date documentation of all student-related records, assessments, and reports.

8. Research & Professional Development

• Contribute to research initiatives and continuous improvement of teaching methodologies and intervention strategies.

• Stay informed of evidence-based practices in special education.

Technical Skills & Core Competencies

1. Diversity and Inclusion

• Apply principles of diversity and inclusion in interactions and implementation of activities for children

2. Learning Environment Design

• Design quality learning environment according to the child's developmental milestones to engage children purposefully.

3. Intervention Principles and Practices

Demonstrate key principles of intervention practices and approaches independently.

4. Child Screening and Assessment

• Conduct screening and assessment of children's strengths and needs according to their developmental milestones, and formulate intervention plan based on data gathered from the process.
  

Qualifications & Experience

• Minimum Experience: At least 2 years of experience in Special Education or a related field.

• Traineeship Pathway:

  • Candidates without prior experience, including fresh graduates and A-level students, may apply for a 6-month competency-based traineeship programme, with the opportunity to transition into a full-time role upon successful completion.

Why Join Us

If you are passionate about making a meaningful difference in the lives of children with learning difficulties and are committed to delivering high-quality, evidence-based education, we welcome your application.

Cognitive have a structured staff evaluation system, skills development and compensation progression plan for staff members with potential performance upside.

The Role

You will research and experiment with what drives visibility in AI-powered search engines such as Perplexity, ChatGPT, and Gemini. This is a hands-on research and engineering role — you will design experiments, build models, and see your work directly impact the product.

What you will do:

• Design and run experiments to identify and validate GEO ranking factors
• Develop and iterate on algorithms and scoring models
• Analyze large-scale data to extract actionable insights
• Work closely with the founding team to translate research into product features

What We’re Looking For

Must-have

• PhD (fresh graduate) or Master’s degree with 1 year of relevant experience
• Strong foundation in machine learning, NLP, or information retrieval
• Solid experimental mindset — able to design tests, analyze results, and draw conclusions
• Curious, fast learner, comfortable exploring territory without a map

Nice to have

• Familiarity with how LLMs process and retrieve information
• Experience with search, ranking, or recommendation systems
• Any prior exposure to SEO or content analytics

No prior GEO experience needed — we will learn together.

The Role

You will lead research and experimentation into what drives visibility in AI-powered search engines such as Perplexity, ChatGPT, and Gemini. This is a senior hands-on research and engineering role — you will architect experiments, build and own models, mentor junior researchers, and see your work directly shape product strategy.

What You Will Do:

• Design, lead, and oversee experiments to identify and validate GEO ranking factors
• Architect and own the development of algorithms and scoring models end-to-end
• Drive large-scale data analysis to extract actionable insights and translate findings into strategic recommendations
• Collaborate closely with the founding team to define the research roadmap and translate research into product features
• Mentor and guide junior researchers and engineers on experimental design and best practices

What We're Looking For

Must-have

• PhD with 2+ years of industry experience, or Master's degree with 4+ years of relevant experience
• Deep expertise in machine learning, NLP, or information retrieval
• Proven track record of designing, executing, and shipping research-driven products or features
• Strong leadership and communication skills — able to influence without authority and present findings to non-technical stakeholders
• Self-directed and comfortable operating with ambiguity at the frontier of a new field

Nice to have

• Strong familiarity with how LLMs process, rank, and retrieve information
• Hands-on experience leading search, ranking, or recommendation systems in production
• Prior work in SEO, content analytics, or search quality evaluation
• Experience building or contributing to research teams from an early stage

No prior GEO experience needed — we will learn together.

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. 

ANGEL will also cultivate human talents equipped with both advanced technical skills and a solid understanding of sustainable practices. They will enable Singapore to realise its environmental and technological ambitions.

ANGEL is looking for a Research Engineer to support research work under the project “Green AI”.

Job Description:

• Work closely with the Principal Investigator (PI) and interdisciplinary team members to support applied research and development projects at the intersection of data, AI, and sustainability.

• Contribute to the development of practical frameworks, methodologies, or tools that translate research insights into deployable or industry-relevant solutions.

• Prepare technical reports, documentation, and presentations to communicate findings to both academic and industry stakeholders.

• Support collaboration with industry partners by aligning research objectives with practical constraints and business needs.

Job Requirements:

• Bachelor’s or Master’s degree in a quantitative or applied discipline (e.g., engineering, data science, information systems, operations research, statistics, applied mathematics, or related fields).

• Demonstrated experience working with industry partners or in industry–academia collaborative projects, including translating practical requirements into research or technical deliverables.

• Strong problem-solving skills, good communication abilities, and the capacity to work effectively in cross-functional and interdisciplinary teams.

• Prior experience contributing to technical reports, patents, white papers, or research publications is a plus, but not required.

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

ASPRI-IPI, the training arm of ASPRI, is a non-profit organisation dedicated to advancing the Process Industry in Singapore. We collaborate with industry leaders, government agencies, and subject matter experts to develop and deliver high-quality training programmes.

Join us on our mission to enhance the skills and safety of the Process Industry workforce, contributing to a safer and more productive industry for Singapore.

Position Overview

This is a 1 month temporary assignment supporting both the Operation and Service Quality units in ASPRI-IPI. This role is paid hourly.

Job Responsibilities include but not limited to:

1. Daily operation

i) Centre Opening (classroom / workshop / ushering / courseware retrieving for classes that have ended)

ii) Attendance taking

iii) Minor ad-hoc request from trainers

iv) Attendance preparation for new classes

v) Courseware packing

vi) Centre Closing (refreshment packing / Courseware storing (new class) / classroom / workshop)

2. Batching

i) Checking of post-courseware and inform Ops on the follow up

ii) Updating and verifying of batch log file to ensure accuracy

3. Evaluation

i) Post-evaluation scanning

ii) Update evaluation log file

iii) Verify evaluation log file

4. Safety Pass

i) Verify safety pass (WSQ/ASTER)

ii) Verify safety pass tracker (Jimily)

You should possess the following:

• Minimum Diploma preferably in Training and Adult Education sector;
• No experience required as On-the-job training will be provided;
• Ability to effectively manage time and schedules under tight deadline and pressure;
• Strong adaptability skill, able to work independently as well as in a team;
• Strong communication skills with good customer service aptitude;
• Proficiency in Microsoft Office and other IT applications;
• Willingness to work a flexible schedule, including shift duties on workday evenings and weekends (OT will be compensated accordingly)
• Working location at Jalan Papan (shuttle pickup at Chinese Garden MRT)
• Immediate starters preferred