Total 991 Education / Training job vacancies in BUKIT PASIR

Senior Research Nurse

• Office Location: Buona Vista, Singapore
• Working Hours: Morning/Noon Shift (45 hours per week)
• Monthly Salary: Hourly Rate + Completion Bonus
• Employment Type: Full time, Permanent Contract

Company Overview

The company is a specialized clinical research unit based in Singapore, focusing on early‑phase human trials and innovative health technologies. It integrates biomedical expertise with modern digital tools to advance drug development and support global healthcare progress.

Responsibility

• Clinical Care & Excellence – Deliver professional care and management of clinical trial participants, ensuring privacy and confidentiality at all times.
• Data & Equipment Handling – Collect, verify, and store trial data accurately; operate biomedical equipment proficiently within the CRU.
• Safety & Emergency Preparedness – Apply biohazard safety precautions and participate actively in Code‑blue drills, leading during real emergencies.
• Screening & Trial Execution – Perform general screening activities and protocol‑related tasks under the guidance of the Study Nurse‑in‑Charge.
• Collaboration & Coordination – Work closely with pharmacists, technologists, and support staff to ensure smooth execution of trial activities and auxiliary services.
• Compliance & Documentation – Adhere to SOPs, GCP, and regulatory requirements; maintain accurate records and demonstrate commitment to training and policy compliance.

Requirement

• Registered with Singapore Nursing Board.
• Minimum 2 years of nursing experience in direct in patient nursing.
• Candidate who can start immediately or within short notice will be preferred

We regret to inform you that only shortlisted applicants will be notified.

Recruit Lync Pte Ltd | EA License Number: 22C1000

Chen Hoe Nam | EA Personnel License: R25158678

Working Hours: Monday to Friday (Except Wednesday), 7 am to 4 pm. Wednesday 7 am to 1.30 pm

Working Location: Bukit Batok

Job Responsibilities

• Deliver clear and effective lessons using a variety of relevant teaching strategies for students with autism
• Play an important role in the planning and development of curriculum and programmes to facilitate student learning
• Exhibits deep commitment to the holistic education and development of students
• Work collaboratively with a multi-disciplinary team and with parents in providing quality education and care for the students
• Understand students' diverse learning and developmental needs, interests, abilities and potential through observations, diagnoses and discussions (with students, parents and colleagues), and adapts approaches accordingly
• Work collaboratively with a multi-professional team and parents in providing quality education and feedback for students.
• Plan and write IEP lesson plans, reports, records and documentation.
• Guide and coach Teacher Aides

Job Holder's Requirement and Attributes

• Recognised Degree or Polytechnic Diploma
• Teaching qualifications or equivalent in Special Education is preferred
• 5 credits in GCE 'O' level with a pass in English and Mathematics is mandatory
• Preferably 3 years of experience at primary level
• Familiar with national curriculum
• Demonstrate passion in teaching
• Experience in teaching children and youths with autism will be an added advantage

Application

Interested candidates are invited to click "Apply Now" to submit their application.

We regret that only shortlisted candidates will be contacted.

Invitation to upcoming Career Engagement Session

SAMS will be organising a Career Engagement Session on 27 June 2026 (Saturday), from 9 am to 11 am.

We welcome dedicated and like-minded educators to join Team SAMS in providing a holistic and nurturing learning experience for our students.

Interested individuals are encouraged to register for the engagement session via the SAMS website (www.sams.org.sg). Registration closes on 19 June 2026.

Senior Special Education Needs (SEN) Teacher – Vocational Pathways & Job Coaching

At The GUILD International College, we believe every learner deserves a pathway to independence, purpose and meaningful employment. We are seeking an experienced and passionate Senior SEN Teacher who can lead learning programmes for neurodiverse students while supporting their transition from education to work through vocational training, workplace readiness and job coaching.

About The GUILD

The GUILD International College is an inclusive college for neurodiverse learners, offering personalised educational pathways that prepare students for further education, independent living, structured workplaces, and meaningful employment. Through strong industry collaborations, internship opportunities and vocational programmes, we empower students to co-create their future with confidence.

Key Responsibilities

• Plan, deliver and evaluate engaging SEN programmes for students with diverse learning profiles.
• Develop Individual Learning Plans (ILPs) aligned with students’ strengths, goals, and transition outcomes.
• Lead and coordinate vocational training programmes, workplace readiness activities, and pre-employment skills development.
• Provide job coaching and support students during internships, work experience placements, and school-to-work transitions.
• Build relationships with employers and community partners to create meaningful employment opportunities.
• Teach functional academics, independent living skills, social communication, self-regulation, and employability skills.
• Mentor and support teachers, teaching assistants, and support staff.
• Collaborate closely with families, therapists, employers, and multidisciplinary teams.
• Monitor student progress and prepare reports, transition plans, and employment readiness assessments.
• Contribute to curriculum development and continuous improvement initiatives.

Essential Requirements

• Degree in Special Education, Education, Psychology, Social Work, Occupational Therapy, or a related field.
• Minimum 5 years' experience working with students with Special Educational Needs.
• Proven experience in vocational education, transition planning, work readiness programmes, or employment support for individuals with disabilities.
• Experience in job coaching, supported employment, internship coordination or workplace inclusion programmes.
• Strong understanding of autism, down syndrome, intellectual disabilities, ADHD, learning differences and neurodiversity.
• Excellent communication, collaboration and relationship-building skills.
• Ability to lead teams and mentor colleagues.

Highly Desirable

• Experience working with young adults transitioning to employment.
• Knowledge of person-centred planning and transition frameworks.
• Connections with employers or experience developing industry partnerships.
• Training in Positive Behaviour Support, social-emotional learning, or vocational assessment tools.
• Experience within international, inclusive or special education settings.

What We Offer

• The opportunity to make a lasting impact on the lives of neurodiverse learners.
• Small class sizes and highly therapy supported, personalised programmes.
• A collaborative multidisciplinary environment.
• Strong focus on vocational pathways, internships, and real-world learning experiences.
• Professional growth and leadership opportunities within a rapidly growing inclusive college.

Join Us

If you are passionate about helping neurodiverse learners develop the skills, confidence and independence needed for successful employment and adult life, we would love to hear from you.

Apply now by sending your CV and cover letter to employment@theguild.edu.sg

Shape Futures, Transform Lives

Join Maitri School's dedicated team of educators empowering students with autism spectrum disorder to reach their full potential. As Singapore embraces inclusive education, your expertise will make a meaningful difference right here in our community.

Your Role as a Maitri Educator:

• Prepare daily lessons in-line with the Pupils' IEPs alongside our Allied Health Professionals
• Monitor Pupils' progress, milestones and achievements and ensure their participation in school activities
• Guide and equip pupils with the pre-requisite / vocational skills needed for future employment opportunities
• Collaborate with parents through case conferences, or home visits to facilitate pupil's overall growth and development.

Why Educators Choose Maitri:

• Competitive compensation package with performance bonuses
• Career progression with leadership opportunities
• Manageable class sizes with dedicated teaching assistant support
• Work-life balance

Requirements:

• GCE "A" level qualifications (including General Paper); Degree or Diploma from recognized local educational institution
• DISE certification is advantageous (training sponsorship is available)
• Experience with special needs students valued (fresh graduates with passion are welcome)
• Collaborative mindset and good communication skills
• Only Singaporean or Singapore Permanent Resident may apply

Work Place: Maitri School

2026 and 2027 - 95 Jalan Eunos, 2028 - 20 Pasir Ris Street 51

Note: Only shortlisted candidates will be contacted for more information or interview.

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

NUS Career Portal link: https://careers.nus.edu.sg/job/Research-Fellow-%28Infectious-Disease-Modelling%29/29829-en_GB/?st=10D7DF6900EEA4DFBE1D5F37204E9A8E4AB59151

We regret that only shortlisted candidates will be notified.

Job Description

Qualifications

● A Ph.D. in a relevant field such as computer science, statistics, epidemiology, computational biology, bioinformatics, biostatistics, machine learning, or a related discipline.
● Strong background in at least one of infectious disease modelling, phylogenetics, or phylodynamics (background in computational statistics or machine learning is optional but highly relevant)
● Proficiency in programming languages (R, Python, C++, Java or Julia).
● Experience with mathematical and statistical methods applied to real-world, public health, and global health problems.
● Excellent written and verbal communication skills, including presenting complex concepts to diverse audiences.
● Demonstrated ability to work effectively in a multidisciplinary team and independently.
● Track record of publications in peer-reviewed journals

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-Fellow-%28Hydrodynamics-of-Coastal-Structures%29/33191-en_GB/

We regret that only shortlisted candidates will be notified.

Job Description

The selected Research Fellow (RF) will be responsible to lead and manage research activities relating to the project titled Hydrodynamics of coastal structures. 

Key duties will include conducting offshore centrifuge modelling for Coastal Structures and aiding to supervise research assistants. He/she must also help in ensuring compliance with safety and ethical standards and contributing to the preparation of progress reports and grant documentation.

Job Requirements

•    Possess at least a PHD degree in relevant fields such as Civil Engineering, Ocean Engineering, Fluid Mechanics, Computer Science, or related disciplines. Applied Mathematics, Data Science, Electrical and Electronics Engineering, Earth Sciences, Remote Sensing, and Artificial Intelligence are also well-suited. (More details on PhD requirements can be found at: https://nusgs.nus.edu.sg/scholarships/nus-research-scholarship/)
•    Strong written and spoken communication skills. 
•    Open to fixed-term contract

Job Summary

We are seeking a proactive and detail-oriented Senior/Executive, Human Resources (Training &Development) to support the organisation’s people development and learning culture efforts. This role will be responsible for training and development initiatives, and workplace shaping.

Working days: 5 days, 8.30am to 5.30pm
Location: Labrador Park MRT
Permanent role with benefits

Key Responsibilities

Training & Development

• Coordinate and administer training programmes and matrix including mandatory training, and developmental courses.
• Facilitate training and development programs to support team growth and leadership capability
• Liaise with internal stakeholders, external trainers, and training providers to schedule and manage training activities.
• Track training attendance, completion, and training records.
• Support training grants administration (e.g., SSG, SkillsFuture, WSQ), where applicable.
• Prepare training evaluation reports and maintain learning documentation.
• Support the rollout of learning initiatives aligned with organisational objectives.
• Culture & Engagement, driving employee experience through feedback surveys, team-building activities, and recognition programs.
• Ad-hoc HR project

Requirements

• Diploma or Degree in Human Resources, Business Administration, or related discipline.
• At least 2–3 years of HR experience, preferably with exposure to training and development.
• Good understanding of Singapore employment regulations and HR best practices.
• Strong planning, coordinating, organisational, and time management skills.

Interested applicants, kindly click “Apply” or send your resume to huiyeeteo@sasco.org.sg

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-Associate-%28Epidemiology-and-Modelling%29/33196-en_GB/?st=8BBC1E9510488D1EBDE40715BA0979C8232077DA

We regret that only shortlisted candidates will be notified.

Job Description

The Saw Swee Hock School of Public Health (SSHSPH) at the National University of Singapore (NUS) is seeking multiple determined full-time Research Associate(s) to join a new group led by Dr Angkana T Huang.

Successful candidates will have the opportunity to work on one of several research projects using computational methods to understand the mechanisms underpinning the ecology and evolution of dengue and related arboviruses across Asia and globally. The long-term goal is to generate insights that enable interventions to be better designed, more effectively deployed, and resilient to an ever-evolving infectious disease landscape. Candidates with ambitions to define and pursue independent research questions of mutual interest are strongly encouraged to apply.

Research in the group spans a broad and multidisciplinary scope, for example:

• Macro-processes reshaping who gets infected and when
• The molecular basis of differences in virus properties, such as antigenicity
• Development and validation of computational methods to infer epidemiological quantities

Embedded within the Centre for Epidemic Research and Modelling (CERM) at SSHSPH, researchers will work among a community of motivated, purpose-driven scientists collaborating closely with regional partners and world-leading international collaborators.

Major duties and expectations:
All appointees:
• Conduct and contribute to the design, execution, and interpretation of research projects
• Perform computational analyses, including data processing, modelling, and interpretation of results
• Contribute to the preparation of manuscripts, reports, and presentations
• Participate in team meetings and collaborations with internal and external partners
• Critically appraise evidence and their own results with intellectual honesty, and engages constructively with differing perspectives

Qualifications

All appointees:
• Proficiency in at least one programming language, such as Python or R
• Experience with mathematical or statistical modelling
• Excellent written and verbal communication skills
• Highly organised, with the ability to work effectively both independently and as part of a team

Research Associate:
• Master’s degree or equivalent experience in Epidemiology, Biostatistics/Statistics, Computational Biology/Bioinformatics, Infectious Disease Modelling, or a closely related field

The grade of appointment will be accorded based on qualifications and work experience. Interested applicants are invited to apply directly at our NUS career portal with the documents below. For further enquiries, please contact Dr Angkana T. Huang via huangat@nus.edu.sg.
a. Cover letter highlighting career goals and relevant experience
b. Curriculum Vitae, containing names and contact details of three named referees

We are committed to open science, equitable partnerships, and scientific rigour. Candidates who share these values are strongly encouraged to apply.

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/Senior-Manager-%28IT-Project-and-Product-Management%29-Faculty-and-Research-Systems/32747-en_GB/

We regret that only shortlisted candidates will be notified.

About NUS IT

NUS Information Technology is the cornerstone to providing reliable, high-performance and secure IT solutions and effective IT governance for the campus. Here at NUS IT, we aim to transform NUS into a borderless computing community providing knowledge at its fingertips by enhancing the use of effective applications and services for teaching and learning.  

We drive a culture that is forward-looking. With a strong passion for IT, our people are always striving to improve, push boundaries and innovate with a "can-do" attitude.  We embrace collaboration, open communication and knowledge sharing. If you see yourself thriving in a dynamic environment and breaking new grounds with innovative ideas, you will find yourself at home in NUS IT.  

As part of our team, you can look forward to an empowered work environment that allows you to take charge of your own career path. We provide competitive remuneration as well as flexible work arrangements to enable your growth and development. We pride ourselves on our diverse workforce and are committed to transforming NUS into a leading global University shaping the future.  

https://nusit.nus.edu.sg/ 

Job Description

You will lead product development, AI delivery, and digital partnership for Faculty and Research systems at NUS. Working closely with faculties, vendors, and cross-functional IT teams, you will translate business needs into technology outcomes that advance NUS' academic and operational goals. This is a hands-on leadership role suited to someone equally comfortable with strategy and delivery.

Duties and Responsibilities

Product Development & Lifecycle Management

• Own the product roadmap for Faculty and Research platforms across the full lifecycle - from discovery and requirements through to delivery, launch, and iteration.
• Develop and maintain a product roadmap aligned with user needs, NUS IT direction, and relevant market developments - engaging regularly with business users and stakeholders to spearhead, gather, clarify, and prioritise requirements into a well-structured product backlog.
• Work cross-functionally with architecture, security, and engineering teams to ensure products are scalable, compliant, and fit for purpose.
• Use prototypes and proof-of-concepts to validate ideas early and reduce delivery risk.
• Drive continuous product improvement through post-launch data analysis and structured user feedback.

AI Solution Delivery

• Identify opportunities where AI can improve processes, enhance user experience, or unlock new capabilities across Faculty and Research domains.
• Translate business needs into clearly defined AI use cases, shaping functional requirements, solution approaches, and measurable success criteria.
• Apply practical understanding of AI approaches - including generative AI, predictive analytics, and workflow automation - to support solution design and implementation.
• Lead end-to-end delivery of AI solutions, from discovery and prototyping through implementation, rollout, adoption, and continuous improvement.
• Drive the design and implementation of agentic workflows and AI-powered automations using orchestration platforms such as n8n, integrating them with enterprise systems, data sources, and business processes where appropriate.

Project Delivery

• Manage end-to-end project delivery - scoping, planning, execution, UAT, and go-live - ensuring targets, quality standards, and NUS governance requirements are met.
• Handle procurement activities including tender preparation, vendor evaluation, and contract management.
• Produce and review project artefacts to ensure compliance with NUS IT policies and audit requirements.
• Coordinate vendors and internal teams to keep delivery on track and within scope.
• Lead and motivate project teams, balancing resource optimisation with team wellbeing.

Strategic Partnership & Faculty Engagement

• Serve as the primary IT account manager for assigned faculties and departments - building trusted relationships with Deans, Heads, and administrative leaders to understand their priorities and co-develop technology plans.
• Align faculty technology needs with NUS IT strategy through bi-annual digital planning cycles, ensuring investments are well-prioritised and outcomes are tracked.
• Facilitate faculty digitalisation efforts by identifying opportunities, championing adoption of new tools, and supporting change management on the ground.
• Represent faculty interests in university-wide IT governance and planning forums.
• Conduct regular service and strategic reviews with stakeholders to ensure IT remains responsive and forward-looking.

Operations & Continuous Improvement

• Oversee application maintenance and support for Faculty systems, ensuring SLAs are consistently met and issues are resolved efficiently.
• Drive a proactive operations model - using data and system analytics to identify trends and address issues before they escalate.
• Collaborate with faculty partners on enhancement prioritisation, progressively automating routine processes to free capacity for higher-value work.
• Manage vendor performance with accountability, ensuring support obligations are met and improvement opportunities are acted on.
• Ensure ongoing compliance with audit, security, and data governance requirements.

Qualifications

• Degree in Information Technology, Computer Science, Computer Engineering, or equivalent.
• At least 10 years of IT experience, including 3+ years in a technical role and 7+ years in project or product management.
• Strong grasp of modern IT technologies, methodologies, architectures, and best practices.
• AI FluencyHands-on experience delivering AI or data-driven initiatives in a complex, multi-stakeholder environment.Practical understanding of modern AI concepts - including generative AI, agentic AI, and predictive/machine learning approaches.Relevant AI certifications, hands-on experience with AI platforms/orchestration tools, or demonstrated continuous learning in the AI domain will be an advantage.

• Strong analytical and communication skills — able to engage credibly with both technical teams and senior business stakeholders. The ability to understand the business questions that users are trying to answer is essential.
• Self-driven, organised, and comfortable managing multiple workstreams with competing priorities.
• PMP, CITPM, or CSPO certification is an advantage.
• Certifications in AI are highly preferred and will be considered an added advantage.
• Experience in the higher education sector is a bonus.

The Genome Institute of Singapore (GIS) is Singapore"s flagship institute for the genomic sciences. The Agency for Science, Technology, and Research (A*STAR) is the parent funding body for the GIS and has a long-term commitment to advance science and develop innovative technology to further economic growth and improve lives. As one of the world"s premier genomic centres, the GIS integrates genetics, genomics, high-throughput biology, and data science to gain fundamental, translational, and clinical insights into human disease and health (https://www.a-star.edu.sg/gis/).

We welcome applications at all levels, including candidates seeking their first independent Principal Investigator position (equivalent to first-time Assistant Professor at academic institutions) and execptionally qualified established leaders in their fields (at the level of Associate/Full Professor) to develop their independent research programmes in the following domains:

• Develop novel high throughput technologies for unveiling new insights into the biology of DNA or RNA. Candidates with an established track record in sequencing methodology development, genomics, functional genomics (studied using saturation mutagenesis), and molecular engineering are highly welcome.
• Develop novel technologies in RNA therapeutics (including either using RNA as medicine or targeting RNA in diseases). Candidates with an established track record in targeting RNA or engineering RNA for protein production, decay, and localization in health and disease systems are strongly encouraged to apply.
• AI to leverage state-of-the-art artificial intelligence to design and implement or use generative models targeting RNA, DNA, and cellular systems,
• Computational biology, to develop/use the latest machine learning strategies and computational analytics to analyze genomic and multimodal data to enable novel insights into biology and human health.

Principal investigators will be able to leverage GIS' strong sequencing facility, technology platforms, novel computational analytics, and outstanding biological systems to create scientific and societal impact.

Qualified candidates should have an MD, PhD, or equivalent degree in the biological, genomic, or computational sciences, and a demonstrated ability to conduct cutting-edge team-based research with a strong record of peer-reviewed publications, and external funding. Past successes in intellectual property creation will be an advantage. You must be comfortable working in a dynamic research organization. Strong communication skills and a willingness to work collaboratively in a multidisciplinary environment are critical for success. The successful candidate will drive an expansion into the indicated research areas and complement programs at GIS and synergise with ongoing larger-scale efforts at A-STAR. In particular, we welcome applications from energetic and enthusiastic candidates seeking their first independent Principal Investigator position (equivalent to first-time Assistant Professor at academic institutions).

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.

About Cynapse

Cynapse is a leading AI software company specializing in enterprise-grade Video Intelligence Solutions Powered by Generative AI, tailored to meet the unique challenges of various industries. Our vertical-specific solutions empower organizations to enhance safety, operational efficiency, and security in complex environments such as roads, seaports, airports, and cities. By combining advanced Vision AI with Generative AI, we continually push the boundaries of video analytics, delivering insights and automation that transform operations.

Led by a global team with a proven track record of scaling startups into market leaders, we foster innovation, collaboration, and diverse perspectives. Headquartered from US, Cynapse serves clients worldwide, redefining what's possible with video intelligence.

Job Description

We are seeking a talented and highly motivated Machine Learning Engineer to join our Model Engineering Team, focused on building, training, and improving computer vision models used in real-world systems. In this role, you will engineer models for improved accuracy, speed, and reliability, and work across experimentation, data, and production-facing ML pipelines.

You will collaborate with experienced engineers to translate research ideas and experiments into practical improvements that impact deployed systems.

You will also work with production-level machine learning systems, contributing to how models are evaluated, deployed, and monitored in real-world environments.

What You’ll Do:

Model Engineering & Training

• Assist in training, fine-tuning, and evaluating computer vision models for tasks such as classification, object detection, segmentation, pose estimation, and video understanding.
• Contribute to model engineering efforts, including modifying architectures, adjusting backbones or heads, and tuning training strategies to improve accuracy, stability, and inference speed.
• Experiment with training techniques such as data augmentation, loss functions, optimisation methods, and learning rate scheduling.
• Explore and evaluate modern vision models, including open-vocabulary or multimodal approaches where relevant.

Research & Experimentation

• Read, discuss, and apply insights from relevant research papers, technical blogs, and internal technical documentation.
• Prototype and evaluate new models, approaches, or techniques, comparing them against established baselines through structured experiments.
• Analyse experimental outcomes and document insights on performance trade-offs, limitations, and failure modes.

Evaluation & Failure Analysis

• Analyse model performance beyond headline metrics, including long-tail behaviour, edge cases, and real-world impact.
• Debug model failures such as false positives, false negatives, or unstable predictions.
• Improve robustness through targeted data improvements, inference logic, or model adjustments.

Data & Experimentation Infrastructure

• Work with large-scale datasets, including preprocessing, augmentation, validation, and quality checks.
• Follow established workflows for dataset versioning, experiment tracking, and reproducibility.
• Write clean, maintainable experiment code and configuration-driven training setups.

Production & MLOps Exposure

• Assist with model deployment and monitoring under the guidance of senior engineers.
• Work with training, evaluation, and inference pipelines used in production.
• Apply model lifecycle practices such as versioning, retraining, validation, and rollback.
• Consider performance and efficiency constraints, including latency, GPU memory usage, and inference cost.

Minimum Requirements

• At least a degree in Computer Science, AI, Machine Learning, or a related technical field, or equivalent practical experience.
• 1 – 2+ years of relevant hands-on experience with deep learning and computer vision through professional work, research, or substantial projects.
• Proficiency in Python.
• Experience with PyTorch and/or TensorFlow.
• Familiarity with Linux environments (CLI usage, basic shell commands).

Bonus Skills

• Exposure to multimodal or open-vocabulary models.
• Experience modifying models beyond configuration-level changes (e.g. layers, heads, loss functions).
• Familiarity with experiment tracking or MLOps tools (e.g. Git, Docker, MLflow, Weights & Biases).
• Experience with model optimisation or export (e.g. ONNX, TensorRT, quantization).
• Experience working with video data or tools such as OpenCV or FFmpeg.

Personal Competencies

• Strong interest in engineering and improving machine learning models, rather than treating them as black boxes.
• Curiosity about how architecture, data, and training strategies affect real-world performance.
• Comfortable experimenting, debugging, and iterating in a collaborative engineering environment.
• Ability to take ownership of model components appropriate to experience level and project needs.

Note: Due to the nature of the role, the position is considered only for candidates who are already based in Singapore.

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-%28Data-driven-understanding-of-hydroclimate-extremes%29/33189-en_GB/

We regret that only shortlisted candidates will be notified.

Job Description

Applications are requested for Research Engineer (RE) positions on climate change, risk assessment of compound droughts and floods using the latest AI techniques in the Department of Civil and Environmental Engineering at the National University of Singapore (NUS).

The selected Research Engineer (RE) is required to work on:
•    drought and flood risk assessment under climate change.
•    land use optimization and reservoir-informed managed aquifer recharge assessment. 
•    multi-sector dynamics. 

Job Requirements

•    At least a bachelor’s degree in civil engineering, hydrology, water resources engineering, optimization, seasonal forecasting, machine learning, or from similar programs.
•    Master’s degree is preferred.
•    Extensive experience in developing complex computer codes, e.g. in Python, R, or Shell.
•    Ability to construct and write papers for leading research journals and conferences. 
•    Good written and spoken communication.
•    Open to fixed-term contract. 

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-%28Data-driven-understanding-of-hydroclimate-extremes%29/33190-en_GB/

We regret that only shortlisted candidates will be notified.

Job Description

Applications are requested for Research Engineer (RE) positions on climate change, risk assessment of compound droughts and floods using the latest AI techniques in the Department of Civil and Environmental Engineering at the National University of Singapore (NUS).

The selected Research Engineer (RE) is required to work on:
•    drought and flood risk assessment under climate change.
•    land use optimization and reservoir-informed managed aquifer recharge assessment. 
•    multi-sector dynamics. 

Job Requirements

•    At least a bachelor’s degree in civil engineering, hydrology, water resources engineering, optimization, seasonal forecasting, machine learning, or from similar programs.
•    Master’s degree is preferred.
•    Extensive experience in developing complex computer codes, e.g. in Python, R, or Shell.
•    Ability to construct and write papers for leading research journals and conferences. 
•    Good written and spoken communication.
•    Open to fixed-term contract. 

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-Fellow-%28Offshore-Centrifuge-Modelling%29/33193-en_GB/

We regret that only shortlisted candidates will be notified.

Job Description

The selected Research Fellow (RF) will be responsible for leading and managing research activities related to the project titled “Offshore Centrifuge modelling.” 

Key duties will include conducting offshore centrifuge modelling for Coastal Structures and aiding to supervise research assistants. He/she must also help in ensuring compliance with safety and ethical standards and contributing to the preparation of progress reports and grant documentation.

Job Requirements

•    Possess at least a PhD degree in relevant fields such as Civil Engineering, Ocean Engineering, Fluid Mechanics, Computer Science, or related disciplines. Applied Mathematics, Data Science, Electrical and Electronics Engineering, Earth Sciences, Remote Sensing, and Artificial Intelligence are also well-suited. (More details on PhD requirements can be found at: https://nusgs.nus.edu.sg/scholarships/nus-research-scholarship/)
•    Strong written and spoken communication skills. 
•    Has proficiency in programming languages (e.g., Python, MATLAB) and experience with data analysis tools.
•    Ability to work both independently and collaboratively within a multidisciplinary team.
•    Open to fixed-term contract.

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-Assistant-%28Quality-Assurance%29/33198-en_GB/

We regret that only shortlisted candidates will be notified.

Job Description

The National University of Singapore invites applications for Research Assistant (Quality Assurance (QA) Executive) in the Clinical Imaging Research Centre (CIRC), Yong Loo Lin School of Medicine. CIRC is a dedicated molecular imaging research centre. It is equipped with on-site capability for the preparation of PET radiopharmaceuticals in a state-of-the-art GMP-certified facility. CIRC is positioned to support both academic and commercially led clinical research programs, with dedicated clinical imaging facilities area advanced modalities of PET-CT and PET-MRI. For more details on what we do, do visit https://medicine.nus.edu.sg/circ/. Appointments will be made on a two-years contract basis with the possibility of extension.

Purpose of the post

This role provides QA support across document control, batch record management, training records, supplier documentation, audits, and quality system activities. Responsibilities include maintaining quality registers, tracking due dates and CAPA actions, supporting Bizzmine eQMS document control, checking Batch Manufacturing Records for completeness, and assisting with QA reporting and trending. Also supports GMP training, supplier qualification records, inspection readiness, and maintenance of key controlled documents. In addition, the role contributes to QA improvement work and is being trained to support investigational radiopharmaceutical release as an Authorised Person under supervision.

Main duties and responsibilities

The QA Executive will be able to:

1. Provide OMS Support – maintain and update registers
2. Assist in document management & eQMS (Bizzmine)
3. Support Batch Record (BMR) & QA Operations
4. Assist, arrange & support training and filing of training records, especially the annual GMP training
5. Assist & support in maintaining supplier and material documentation
6. Assist & support during audit & inspection period
7. Assist in QA related improvement projects and digital quality system activities
8. To take up the role of Authorised Person for the release of investigational radiopharmaceuticals in compliance with PIC/S GMP (Under supervision)

Qualifications

The applicant should:

1. Have a minimum of bachelor’s degree (Honours) or higher in Pharmaceutical Science, Chemistry, Life Sciences or related discipline;
2. Previous experience working in a PET radiochemistry facility is highly desirable. 
3. Typically, 1-3 years of relevant experience in QA/QC/QMS in a regulated environment (GMP/PIC/S GMP experience is strongly preferred). 
4. Excellent understanding of radiochemical and radiopharmaceutical processes, including material flows, quality controls, and critical parameters in GMP environments. 
5. Strong organizational and project planning skills, with the ability to manage multiple tasks and priorities in a regulated environment. 
6. Working knowledge of GMP principles and their application to equipment qualification, maintenance, and facility operations. 
7. Understanding of radiation safety principles and engineered controls for radioactive materials. 
8. Excellent communication and teamwork skills, with a collaborative approach to problem-solving across scientific, quality, and engineering disciplines. 
9. Working knowledge of PIC/S GMP and good documentation practices (GDP). 
10. Strong coordination skills; able to follow up across teams and manage multiple deadlines. 
11. Comfortable working with digital systems (experience with eQMS is advantageous). 
12. Clear written communication, with strong attention to detail and integrity in a GMP environment 
13. Need to be adaptable and flexible to perform required tasks beyond the job description 
14. Willing to accept exposure of low radiation levels (radiopharmaceutical manufacturing) & enter clean room/rotational function.

Remuneration will be commensurate with the candidate’s qualifications and experience. Informal enquiries are welcome and should be made to Ms Emmalyn Chan Mei Mei at emma.chan@nus.edu.sg.

Formal application: Please submit your application, indicating current/expected salary, supported by a detailed CV (including personal particulars, academic and employment history, complete list of publications/oral presentations and full contacts of three (3) referees to the NUS Career Portal.

We regret that only shortlisted candidates will be notified.