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-%28DISA%29/32357-en_GB/?st=41085BF5874C402EC4DA49352CBB9F7BD4C5EDB7

We regret that only shortlisted candidates will be notified.

Job Description

The National University of Singapore invites applications for the position of Research Assistant in the Department of Information Systems and Analytics (DISA), School of Computing (SoC). SoC is strongly committed to research excellence in all its dimensions: Searching for fundamental results and insights, developing novel computational solutions to a wide range of applications, building large-scale experimental systems and improving the well-being of society. We seek to play an active role both internationally and locally in the core and emerging areas of Information Systems and Analytics.

The successful candidates will be responsible for working closely with the Principal Investigator and lab members on one or more research projects. He/she should possess experience or interest in at least one of the following research areas:

• Artificial Intelligence and Machine Learning
• Computer Vision
• Algorithms
• Circuits and Systems
• Programming Languages & Software Engineering

Qualifications

• Bachelors or fresh Master’s degree in a relevant area
• Experience in research
• Comfort in reviewing and summarizing research papers
• Comfort in handling and analyzing large data sets
• Prior research experience preferred
• Strong command of English (written and spoken)

As a University of Applied Learning, SIT works closely with industry 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.

Key Responsibilities

• Participate in and manage the research project with the Principal Investigator (PI), co-PIs, research team and industry partners to ensure all project deliverables are met.
• Conduct insights-driven evaluations of existing QA/QC testing practices and identify opportunities to enhance efficiency and reduce redundant testing while maintaining compliance.
• Curate, standardize and integrate historical and statistical data to form the foundation of a structured database for construction QA/QC and traceability.
• Design and implement a digital chain-of-custody framework that captures assurance records including mill certificates, fabrication data, inspection results and carbon footprint information.
• Develop, train and validate AI models to automate QA/QC processes, enabling real-time verification, anomaly detection and consistency checks across records.
• Develop a cloud-based verification platform for digital data collection and real-time analytics.
• Develop and apply non-destructive testing (NDT) methods and data-driven approaches to determine material properties of reclaimed steel.
• Investigate geometric imperfections, accumulated deformations, and their impact on structural performance, particularly for compression members.
• Develop data-driven reusability assessment platforms integrating NDT data, machine learning models, and RFID-enabled traceability systems.
• Prepare and draft technical reports, conference/journal papers, and presentation materials; present research findings to internal reviews, industry partners and stakeholders.
• Engage with industry stakeholders throughout development, testing and refinement to ensure alignment with real-world requirements.
• To communicate in any relevant internal or external stakeholders to ensure project deliverables are met.
• Any ad-hoc duties assigned by Supervisor.

Job Requirements

• Master’s degree in Computer Science, Data Science, Civil/Construction Engineering, Engineering Systems or equivalent.
• Strong foundation in data engineering, AI/ML development, and software systems (e.g., data pipelines, cloud services, dashboards, web-based application development).
• Experience in handling real-world datasets and model development/deployment workflows.
• Domain expertise in building construction/civil/structural engineering, including familiarity with building management systems, software integration, data collection and analysis.
• Knowledge of construction QA/QC and quality control workflows (e.g., inspection processes, test documentation, traceability and compliance records) is an advantage.
• Strong background in structural engineering, structural mechanics, or steel structures.
• Familiarity with non-destructive testing (NDT) techniques for structural materials is desirable.
• Experience with structural modelling and analysis tools (e.g., finite element modelling, structural simulation) is desirable.
• Good interpersonal, written and verbal communication skills, with the ability to work independently and in multidisciplinary teams.
• Strong analytical and conceptual abilities; able to work both in a team and independently.
• Able to work under pressure and meet deadlines.

Key Competencies

• Proficient in Python or other equivalent programming languages.
• Strong foundation in data analytics and data-driven modelling.
• Able to build and maintain strong working relationships with people within and external to the university.
• Able to work independently with strong data analytical skills, communication and interpersonal skills.
• Self-directed learner who believes in continuous learning and development.
• Proficient in technical writing and presentation.
• Possess strong analytical and critical thinking skills.
• Show strong initiative and take ownership of work.

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-in-cQED-devices/32356-en_GB/

We regret that only shortlisted candidates will be notified.

About the Centre for Quantum Technologies (CQT)

The Centre for Quantum Technologies (CQT) in Singapore brings together physicists, computer scientists and engineers to do basic research on quantum physics and to build devices based on quantum phenomena. Experts in this new discipline of quantum technologies are applying their discoveries in computing, communications, and sensing. 

CQT is hosted by the National University of Singapore. The Centre also has staff at the Agency for Science, Technology and Research, Nanyang Technological University, Singapore, and the Singapore University of Technology and Design. With some 200 staff and students, it offers a friendly and international work environment

Learn more about CQT at https://www.cqt.sg/

Job Description

Consolidate studies associated with using echo conditional gates to create quantum states and operations. Train new students in general lab operations, usage of common tools, and measurement processes. Complete data-taking and drafting of manuscript on the quantum simulation of nonlinear potentials. 

Qualifications

Comprehensive knowledge of the team’s infrastructure, tools, and standard workflow in the lab. in-depth experience on designing and testing cQED devices. 

JOB SUMMARY

Corporate and Investment Banking (CIB) at Standard Chartered Bank has embarked on an ambitious journey to incorporate the latest AI and data science capabilities in all aspects of our business. This includes our Financial Markets and Transaction Banking businesses. To that end, we are seeking a senior data scientist with strong background and experience in developing and deploying sound AI solutions using both the classical machine learning techniques as well as the latest Large Language Models.

RESPONSIBILITIES

• Liaise with product owners and business stakeholder, identify pain points and business use-cases and gather requirements

• Understand business use-cases and develop AI/ML solutions for various business use-cases in collaboration with product owners and the wider team

• Productionize the developed solutions in collaboration with MLOps Engineer and the wider Tech and Data team

• Stay up-to-date with recent developments in Data Science and NLP domains: algorithms, best practices etc. and disseminate them across the team

• Mentor and upskill more junior team members

Strategy

Support the development of data and AI solutions in cooperation with business stakeholders, IT teams and other relevant parties and to assure that solutions are aligned to the business strategy, released on time, on budget and with high quality.

Governance

• Ensure data quality (DQMF) is applied for data analytics and AI projects

• Adherence to Risk & Data Quality Management Requirements

• Risk and Audit Continuous management of the Trade Application System risk

• Proactively identify issues and actions

• Monitor and remediate issues and actions from audits

• Awareness of the regulatory requirements and ensuring these are catered for in the platform design

Regulatory & Business Conduct

• Display exemplary conduct and live by the Group’s Values and Code of Conduct.

• Take personal responsibility for embedding the highest standards of ethics, including regulatory and business conduct, across Standard Chartered Bank. This includes understanding and ensuring compliance with, in letter and spirit, all applicable laws, regulations, guidelines and the Group Code of Conduct.

• Effectively and collaboratively identify, escalate, mitigate and resolve risk, conduct and compliance matters.

Key Stakeholders

• Technology and Engineering teams across the bank

• Corporate and Investment Banking (CIB) business teams

• Digital Channels and Client Data Analytics (DCDA)

• Financial Crime Surveillance Operations (FSCO) / Compliance teams

Our Ideal Candidate

• Degree in Computer Science, Software Engineering, IT, or related fields

• 2+ years of experience in machine learning, data science and/or other relevant quantitative roles – Banking/finance experience would be preferred but not mandatory

• Proficient in Object-Oriented Programming (OOP) in Python

• Knowledge of machine learning, deep learning and statistical analysis techniques

• Experience in NLP/DocumentAI, Entity Matching, Anomaly and Fraud detection would be an advantage

• Proficient in using ML, DL, and NLP libraries such as Scikit-learn, HuggingFace, LangChain and PyTorch

• Experience in working in an agile environment

• Excellent communication skills with the ability to convey complex technical concepts to non-technical stakeholders

• Self-driven and highly motivated professional with a strong sense of ownership and a passion towards delivering high-quality client solutions

Role Specific Technical Competencies

• Data Science

• Python

• NLP

• Deep Learning

• Stakeholder Management

About Standard Chartered

We're an international bank, nimble enough to act, big enough for impact. For more than 170 years, we've worked to make a positive difference for our clients, communities, and each other. We question the status quo, love a challenge and enjoy finding new opportunities to grow and do better than before. If you're looking for a career with purpose and you want to work for a bank making a difference, we want to hear from you. You can count on us to celebrate your unique talents and we can't wait to see the talents you can bring us.

Our purpose, to drive commerce and prosperity through our unique diversity, together with our brand promise, to be here for good are achieved by how we each live our valued behaviours. When you work with us, you'll see how we value difference and advocate inclusion.

Together we:

• Do the right thing and are assertive, challenge one another, and live with integrity, while putting the client at the heart of what we do

• Never settle, continuously striving to improve and innovate, keeping things simple and learning from doing well, and not so well

• Are better together, we can be ourselves, be inclusive, see more good in others, and work collectively to build for the long term

What we offer

In line with our Fair Pay Charter, we offer a competitive salary and benefits to support your mental, physical, financial and social wellbeing.

• Core bank funding for retirement savings, medical and life insurance, with flexible and voluntary benefits available in some locations.

• Time-off including annual leave, parental/maternity (20 weeks), sabbatical (12 months maximum) and volunteering leave (3 days), along with minimum global standards for annual and public holiday, which is combined to 30 days minimum.

• Flexible working options based around home and office locations, with flexible working patterns.

• Proactive wellbeing support through Unmind, a market-leading digital wellbeing platform, development courses for resilience and other human skills, global Employee Assistance Programme, sick leave, mental health first-aiders and all sorts of self-help toolkits

• A continuous learning culture to support your growth, with opportunities to reskill and upskill and access to physical, virtual and digital learning.

• Being part of an inclusive and values driven organisation, one that embraces and celebrates our unique diversity, across our teams, business functions and geographies - everyone feels respected and can realise their full potential.

Recruitment Assessments

Some of our roles use assessments to help us understand how suitable you are for the role you've applied to. If you are invited to take an assessment, this is great news. It means your application has progressed to an important stage of our recruitment process.

Visit our careers website www.sc.com/careers

Position: Tuition Teacher (English Language, Math, Science)
Working Days: Wed to Sun, Mon & Tues off
Working Timing: 32 hours / Week
Working Location: Tampines Changkat Community Centre
Starting Salary: $2500 - $3500 (depends on experiences)

Responsibilities:

• Utilise provided Curriculum and Learning Methodology to help students succeed in school academics and ultimately in the PSLE.
• Assist in curriculum development during non teaching hours
• Administrative and operational work when required

Requirements:

• Degree holder 
• At least 1 year of teaching experience in P1 - P6 English curriculum
• Training provided for P1 to P6 Mathematics and Science teaching

If you are keen to apply, please send me your resume and job applied for on WhatsApp at 9789 3505 or email me at anabel.thesupreme@gmail.com (˶ᵔ ᵕ ᵔ˶)

❄️Anabel Boon Xue Qi | Recruitment Consultant (R25159272) |

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

We are looking for a Research Assistant to support an AI-enabled battery recycling research project that advances sustainable energy and circular economy goals. The role will focus on developing data-driven models and decision tools to improve the efficiency, yield, and cost effectiveness of battery recycling workflows, supporting experimental and simulation studies across the battery lifecycle, and implementing algorithms for process monitoring and optimization so that recycling operations can be more reliable, scalable, and environmentally responsible.

Key Responsibilities:

• Conduct literature review and problem scoping on battery recycling, including process routes such as hydrometallurgy, pyrometallurgy, and direct recycling.

• Build datasets from experiments, sensors, and public sources, and then perform data cleaning, labeling, and feature engineering for battery recycling tasks.

• Develop AI and machine learning models for recycling process prediction and decision support, such as forecasting metal recovery, impurity levels, energy use, and emissions.

• Develop optimization and control methods for recycling resource management, such as reagent usage, temperature profiles, scheduling, and throughput, under safety and quality constraints.

• Support experimental coordination and analysis, including interpretation of characterization and assay results (as applicable), and then translate findings into model inputs and evaluation.

• Prepare technical reports, documentation, and research manuscripts, and also contribute to project presentations and meeting updates.

• Collaborate with the PI and team members, and coordinate with external partners when needed, to ensure milestones and deliverables are met.

Job Requirements:

• Bachelor qualification degree in Computer Science, Electrical Engineering, or related disciplines

• Strong research experience with a good track record of publications.

• Familiarity with machine learning and optimization, such as supervised learning, reinforcement learning, or constrained optimization.

• Good written and oral communication skills for preparing technical reports, presentations, and draft manuscripts.

• Proficiency in hard skills, such as implementing and evaluating algorithms in Python, and maintaining reproducible experimentation.

• Competent in soft skills, such as problem scoping and analytical skills for experimental results interpretation.

• Interpersonal skill, such as good teamwork and collaboration skills to work closely with the PI, team members, and external partners.

• Entry level candidates are welcome to apply.

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

The School of Chemistry, Chemical Engineering and Biotechnology (CCEB) at NTU Singapore, in collaboration with Wageningen University & Research (WUR), is part of the Singapore Indoor Farming System (SingFarm)—a CREATE-NRF programme focused on building a sustainable, data-driven food production model with strong industry relevance. The programme contributes to Singapore’s ambition of achieving 20 per cent local production of its fibre (vegetables, mushrooms, etc.) by 2035. The candidate will work in a multinational team at the forefront of Singapore’s agricultural innovation and food security.

The Research Associate will take on a significant role in developing and applying simulation and machine learning models for Asian leafy vegetables to predict growth, transpiration, resource use, and yield under controlled environments, with a focus on production under higher temperature and humidity. The Research Associate will also build self-learning models using continuous sensor data, calibrate and validate them with experimental datasets, and collaborate with project partners to support predictive climate and crop control strategies for indoor farming in Singapore.

Key Responsibilities:

• Conduct climate room experiments by varying environmental conditions for the growth of pak choi

• Develop, calibrate, and validate an explanatory, dynamic crop growth model for pak choi

• Write scientific papers and participate in international conferences

Job Requirements:

• A Master’s degree in plant science, biology, agronomy, or related fields

• ​ Strong command of written and communication skills

• Knowledge of plant and crop physiology

• Experience or a demonstrated interest in a quantitative approach to crop growth Knowledge or experience in programming is preferred

• Strong presentation skills for both academic and non-academic audiences

• Good collaboration skills and ability to work effectively in a team

We seek a diverse and inclusive workforce and is committed to equality of opportunity. We welcome applications from all and recruit on the basis of merit, regardless of age, race, gender, religion, marital status and family responsibilities, or disability.

We regret that only shortlisted candidates will be notified.

The School of Chemistry, Chemical Engineering and Biotechnology (CCEB) at NTU Singapore, in collaboration with Wageningen University & Research (WUR), is part of the Singapore Indoor Farming System (SingFarm)—a CREATE-NRF programme focused on building a sustainable, data-driven food production model with strong industry relevance. The programme contributes to Singapore’s ambition of achieving 20 per cent local production of its fibre (vegetables, mushrooms, etc.) by 2035. The candidate will work in a multinational team at the forefront of Singapore’s agricultural innovation and food security.

We seek an innovative Research Associate to develop an automated imaging pipeline for autonomous crop growth systems in vertical farming. The successful candidate will design RGB-D camera setups and algorithms to extract biologically relevant crop traits from image and climate data, supporting mechanistic models for optimised light use and energy-efficient growth. Working closely with a modelling specialist, the candidate will help build a demonstrator system for autonomous, resource-efficient cultivation of leafy vegetables such as choy sum and kai lan.

Key Responsibilities:

• Set up cameras and climate sensors to monitor crop growth
• Develop processing pipelines for image analysis (e.g. segmentation) and trait quantification
• Design experiments to calibrate and validate growth estimation algorithms under dynamic climate conditions
• Support plant scientists in the project and collect ground truth data for traits such as biomass, area, and leaf area index

Job Requirements:

• A Master’s degree in plant science, biosystems engineering, or closely related fields
• Strong command of written and communication skills
• Experience in image processing, working with plants, and using AI is desirable
• Proven ability to collaborate effectively in a team environment, while also demonstrating strong independence, initiative, and work ethic

We seek a diverse and inclusive workforce and is committed to equality of opportunity. We welcome applications from all and recruit on the basis of merit, regardless of age, race, gender, religion, marital status and family responsibilities, or disability.

We regret that only shortlisted candidates will be notified.

The School of Chemistry, Chemical Engineering and Biotechnology (CCEB) at NTU Singapore, in collaboration with Wageningen University & Research (WUR), is part of the Singapore Indoor Farming System (SingFarm)—a CREATE-NRF programme focused on building a sustainable, data-driven food production model with strong industry relevance. The programme contributes to Singapore’s ambition of achieving 20 per cent local production of its fibre (vegetables, mushrooms, etc.) by 2035. The candidate will work in a multinational team at the forefront of Singapore’s agricultural innovation and food security.

We seek a Research Associate who will design and execute a series of experiments to examine the interactions between temperature, humidity, and light conditions. The candidate will evaluate crop growth and development and identify key regulatory mechanisms and physiological bases underlying yield and quality responses to environmental conditions.

Key Responsibilities:

• Manage plant growth chambers

• Design and execute experiments, and measure underlying physiological mechanisms

• Collect and analyse data for this work package

• Write scientific papers and participate in international conferences

• Communicate and collaborate with colleagues from related work packages

Job Requirements:

• A Master’s degree in plant science, biology, agronomy, or related fields

• Strong command of written and communication skills

• Knowledge of plant physiology and plant developmental biology

• Demonstrated interest in quantitative approaches and crop modelling

• Strong presentation skills

We seek a diverse and inclusive workforce and is committed to equality of opportunity. We welcome applications from all and recruit on the basis of merit, regardless of age, race, gender, religion, marital status and family responsibilities, or disability.

We regret that only shortlisted candidates will be notified.

School of Electrical and Electronic Engineering is one of the founding Schools of the Nanyang Technological University. Built on a culture of excellence, the School is renowned for its high academic standards and research. With over 3,000 undergraduates students and 2,000 graduate students it is one of the largest EEE schools in the world and ranks 4th in the field of Electrical & Electronic Engineering in the 2025 QS World University Rankings by Subjects.

We are hiring a Research Fellow in Signal Processing and Machine Learning to develop signal processing and machine learning algorithms and methods for drone swarms. The role will focus on multi-agent visual perception techniques.

Group website: https://personal.ntu.edu.sg/wptay/

Key Responsibilities:

• Develop signal processing and machine learning algorithms and methods for drone swarms.

• Develop multi-agent visual perception techniques.

• Perform software/hardware implementation and empirical studies.

• Prepare report and conduct presentation at seminars.

• Assist PI in proposal writing and help supervise graduate students.

Job Requirements:

• Ph.D. in Electrical Engineering, Computer Science, Statistics, or other related fields.

• Familiarity with machine learning and computer vision frameworks.

• Good written and oral communication skills.

• Interpersonal skill (e.g. Ability to work independently / develop solutions under strict timelines, meticulous and eye for details / excellent organizational / time management skills)

Please send your CV to Tay, Wee Peng (wptay@ntu.edu.sg). We regret to inform that only shortlisted candidates will be notified.

Job Responsibilities:

• Support clinical research studies by coordinating and managing study activities
• Screen and recruit eligible participants according to study protocols
• Obtain informed consent and ensure participants understand study procedures
• Conduct study-related assessments, procedures, and sample collection
• Administer investigational products as required and monitor patient safety
• Coordinate with investigators, sponsors, and research teams for study progress
• Perform other duties related to research activities as assigned

Requirements:

• Registered Nurse with valid Singapore Nursing Board registration
• Strong attention to detail and documentation skills
• Good communication and interpersonal skills

Interested candidates are invited to email your resume to:

jen.ooi@recruitexpress.com.sg
Jenalyn Ooi Huai Sian (R1765551)
Recruit Express Pte Ltd | Company Reg. No. 199601303W | EA License Number: 99C4599

Start Date: May 2026

We are looking for a motivated, analytical, and detail-oriented professional to join our team for a 6-month contract.

Key Responsibilities:

• Lead and coordinate the execution of surveys.
• Ensure data accuracy and integrity through validation and quality checks.
• Analyse collected data and present insights with actionable recommendations.
• Conduct research, including environmental scanning and literature reviews.
• Support reporting and documentation for policy and programme decisions.

Requirements:

• Background in Statistics, Economics, Mathematics, Behavioural Science, or related disciplines.
• Proficiency in R, Python, or other programming languages for data analysis.
• Strong skills in data analysis, visualisation, and interpretation.
• Excellent written and verbal communication skills.
• Passion for environmental sustainability and research.
  

Attn: Felicia Lim

By submitting any application or résumé to us, you will be deemed to have agreed and consented to us disclosing your personal information to prospective employers for their consideration.
We regret to inform you that only shortlisted candidates will be notified. All applications will be treated with the strictest confidence.
Elitez Pte Ltd | EA Licence: 16C8004| Kwok Kia Wei | Registration No: R2110176

Salary: up to $4500

Working Days & Hours: Mon-Fri Office Hours

Location: Queenstown

Job Description:
You will be responsible for the following:

Coordinate and conduct PROMs surveys for SNAP programs, ensuring timely follow-ups at different post-op time points.

Educate patients on the importance of PROMs and enhance their engagement in the process.

Manage AVBC collected data and prepare reports for stakeholders.

Support both appropriate care and VDO projects within AVBC

Job Requirements: Min Degree in Life Sciences or similar w min 2 yrs of relevant clinical research experience

Interested candidates, please submit your resume to: allylok@recruitexpress.com.sg

Ally Audrey Lok Xin Woon

Recruit Express Pte Ltd (Healthcare & Lifescience)

Company EA Licence number : 99C4599

Personnel EA License: R21102307

allylok@recruitexpress.com.sg

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:

• Conduct programming and software development for graph data management.

• Design and implement machine learning models for optimizing graph data management.

• Conduct experiments and evaluations of the designed algorithms and systems.

• Help with research presentation works such as high-quality paper writing.

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.

The Lee Kong Chian School of Medicine (LKCMedicine) trains doctors who put patients at the centre of their exemplary care. The School, which offers both undergraduate and graduate programmes, is named after local philanthropist Tan Sri Dato Lee Kong Chian. Established in 2010 by Nanyang Technological University, Singapore, in partnership with Imperial College London, LKCMedicine aims to be a model for innovative medical education and a centre for transformative research. The School’s primary clinical partner is the National Healthcare Group, a leader in public healthcare recognised for the quality of its medical expertise, facilities and teaching. The School is transitioning to an NTU medical school ahead of the 2028 successful conclusion of the NTU-Imperial partnership to set up a Joint Medical School. In August 2024, we welcomed our first intake of the NTU MBBS programme, that has been recently enhanced to include themes like precision medicine and Artificial Intelligence (AI) in healthcare, with an expanded scope in the medical humanities. Graduates from the five-year undergraduate medical degree programme will have a strong understanding of the scientific basis of medicine, with an emphasis on technology, data science and the humanities.

We are seeking accomplished and highly motivated Research and/or Senior Research Fellows to join an Industry Alignment Fund - Pre-Positioning (IAF-PP) grant-funded research programme in the laboratory of Assoc. Prof. Yen Choo at the LKC School of Medicine, Novena Campus, Nanyang Technological University (NTU). The research programme is focused on developing next-generation cell engineering technologies with applications in cell therapy, regenerative medicine and immunotherapy. The role sits at the interface of stem cell biology, genome engineering, and cell and gene therapies.

Key Responsibilities

• Design and perform experimental work in human stem cell and immune cell engineering projects

• Apply cutting edge molecular and cellular biology techniques, HTS screening, genome engineering, single cell cloning, to develop and optimise engineered cell systems

• Perform bioprocessing, cell-based assays, FACS, multi-omics and analytical workflows to assess genetic modification, transgene expression, cellular phenotyping and functional assays

• Generate high-quality experimental data, supervise junior research staff, maintain accurate documentation and report progress regularly

• Participate in project planning, reporting and collaborative research activities

• Contribute to publications, IP-related activities and translational outputs where appropriate

Required Qualifications & Skills

• PhD in Stem Cell Biology, Molecular Biology, Synthetic Biology, Immunology, Bioengineering and at least 2 years postdoc experience in one or more of:

• Directed differentiation of pluripotent stem cells

• Direct cell reprogramming, including derivation of iPSCs

• Genome editing (e.g. CRISPR, recombinases, targeted integration systems)

• Gene therapy, vector design, viral and/or non-viral gene expression systems

• Control of transcription, gene regulatory networks

• Synthetic biology, especially cell line engineering

• Immunotherapy, especially CAR-T/NK/M or dendritic cell therapies

• Diabetes, especially derivation of beta cells

• Dermatology, especially skin models or organoids

• Experience in translational research or industry-facing research programmes

• Strong written and verbal communication skills

• Track record of first author publications in top tier journals

MetaQuest (MQ) is a premier Science enrichment learning brand under The Write Connection Group in Singapore, delivering structured programmes for Primary 3 to 6 students.

Our programmes utilise an effective experiment-based pedagogy to help students achieve breakthroughs in their understanding and performance in Science. Lessons are conducted both in-centre and online, incorporating live teacher demonstrations, guided discussions, and hands-on experiments to engage students meaningfully.

About the role

We are looking for a Science Teacher (Primary) to deliver engaging and effective science lessons for P3–P6 students.

This role focuses on strong lesson delivery, student understanding, and contributing to a consistent and high-quality learning experience.

Key Responsibilities

• Teach 10 to 12 classes per week including covering classes where required. Single weekend contract available.
• Deliver structured and engaging science lessons using the centre’s curriculum and teaching approach
• Explain concepts clearly and guide students in applying answering techniques
• Monitor student understanding and address learning gaps during lessons
• Mark students’ work, track their progress, and provide constructive feedback
• Maintain a safe, focused, and positive learning environment
• Build rapport with parents and provide updates on student progress termly
• Support trial classes and centre-level activities
• Participate in team meetings and professional development sessions

What We’re Looking For

• Degree in Science or related field (MOE/NIE-trained preferred)
• Minimum 2 years of teaching experience in primary science following MOE syllabus
• Strong subject knowledge with clear and structured explanation style
• Able to engage students and manage classroom effectively
• Responsible, consistent, and organised in lesson preparation and marking
• Open to feedback and continuous improvement
• Willing to adopt the Company's teaching approach and pedagogy
• Good interpersonal and communication skills

Why Join Us:

• Small class sizes (up to 12) with focus on quality teaching
• Structured curriculum and teaching approach
• Supportive environment with opportunities for growth
• Opportunity to be part of a developing science programme

Staff Benefits:

• Comprehensive Medical and Dental benefits
• Birthday and Marriage leave
• Flexi Leave upon completing 1 year of service.
• Monthly Birthday celebration
• Team Bonding Activities
• Exclusive Staff discount for TWC/ MQ lessons
• Exclusive Staff discounts with various participating merchants

MetaQuest (MQ) is a premier Science enrichment learning brand under The Write Connection Group in Singapore, delivering structured programmes for Primary 3 to 6 students.

Our programmes utilise an effective experiment-based pedagogy to help students achieve breakthroughs in their understanding and performance in Science. Lessons are conducted both in-centre and online, incorporating live teacher demonstrations, guided discussions, and hands-on experiments to engage students meaningfully.

About the role

We are looking for a Head of Science (Primary) to build and subsequently lead a high-quality P3 to P6 Science programme.

This role goes beyond teaching. You will shape the programme structure, strengthen curriculum and delivery, and later on, build teaching capability to ensure consistent student outcomes across centres.

Key Responsibilities

• Oversee and refine the P3–P6 science curriculum, ensuring alignment with MOE syllabus and PSLE requirements
• Develop structured teaching approaches to ensure consistent lesson delivery
• Monitor student progress and continuously improve programme outcomes
• Engage parents through clear communication on student development
• Support trial classes and contribute to enrolment growth
• Teach 4–6 classes per week, including at least 1 weekend, with teaching load adjusted as the teaching team expands
• Hire and train teachers to deliver high-quality lessons

What We’re Looking For

• Degree in Science or related field (MOE/NIE-trained preferred)
• Minimum 5–8 years of teaching experience in primary science
• Clear and structured teaching style with strong concept explanation
• Strong track record of helping students improve and perform
• Experience in curriculum development, mentoring, or academic leadership is advantageous
• Someone who has taken initiative to improve teaching practices, curriculum, or student outcomes beyond their own classroom
• Comfortable operating in a programme-building environment and taking ownership

Why Join us:

• Opportunity to shape and lead a growing science programme
• Autonomy to implement ideas and build systems
• Small class sizes (up to 12) with focus on quality teaching

Staff Benefits:

• Comprehensive Medical and Dental benefits
• Birthday and Marriage leave
• Flexi Leave upon completing 1 year of service.
• Monthly Birthday celebration
• Team Bonding Activities
• Exclusive Staff discount for TWC/ MQ lessons
• Exclusive Staff discounts with various participating merchants

MetaQuest (MQ) is a premier Science enrichment learning brand under The Write Connection Group in Singapore, delivering structured programmes for Primary 3 to 6 students.

Our programmes utilise an effective experiment-based pedagogy to help students achieve breakthroughs in their understanding and performance in Science. Lessons are conducted both in-centre and online, incorporating live teacher demonstrations, guided discussions, and hands-on experiments to engage students meaningfully.

About the role

We are looking for a Head of Science (Primary) to build and subsequently lead a high-quality P3 to P6 Science programme.

This role goes beyond teaching. You will shape the programme structure, strengthen curriculum and delivery, and later on, build teaching capability to ensure consistent student outcomes across centres.

Key Responsibilities

• Oversee and refine the P3–P6 science curriculum, ensuring alignment with MOE syllabus and PSLE requirements
• Develop structured teaching approaches to ensure consistent lesson delivery
• Monitor student progress and continuously improve programme outcomes
• Engage parents through clear communication on student development
• Support trial classes and contribute to enrolment growth
• Teach 4–6 classes per week, including at least 1 weekend, with teaching load adjusted as the teaching team expands
• Hire and train teachers to deliver high-quality lessons

What We’re Looking For

• Degree in Science or related field (MOE/NIE-trained preferred)
• Minimum 5–8 years of teaching experience in primary science
• Clear and structured teaching style with strong concept explanation
• Strong track record of helping students improve and perform
• Experience in curriculum development, mentoring, or academic leadership is advantageous
• Someone who has taken initiative to improve teaching practices, curriculum, or student outcomes beyond their own classroom
• Comfortable operating in a programme-building environment and taking ownership

Why Join us:

• Opportunity to shape and lead a growing science programme
• Autonomy to implement ideas and build systems
• Small class sizes (up to 12) with focus on quality teaching

Staff Benefits:

• Comprehensive Medical and Dental benefits
• Birthday and Marriage leave
• Flexi Leave upon completing 1 year of service.
• Monthly Birthday celebration
• Team Bonding Activities
• Exclusive Staff discount for TWC/ MQ lessons
• Exclusive Staff discounts with various participating merchants

MetaQuest (MQ) is a premier Science enrichment learning brand under The Write Connection Group in Singapore, delivering structured programmes for Primary 3 to 6 students.

Our programmes utilise an effective experiment-based pedagogy to help students achieve breakthroughs in their understanding and performance in Science. Lessons are conducted both in-centre and online, incorporating live teacher demonstrations, guided discussions, and hands-on experiments to engage students meaningfully.

About the role

We are looking for a Science Teacher (Primary) to deliver engaging and effective science lessons for P3–P6 students.

This role focuses on strong lesson delivery, student understanding, and contributing to a consistent and high-quality learning experience.

Key Responsibilities

• Teach 10 to 12 classes per week including covering classes where required. Single weekend contract available.
• Deliver structured and engaging science lessons using the centre’s curriculum and teaching approach
• Explain concepts clearly and guide students in applying answering techniques
• Monitor student understanding and address learning gaps during lessons
• Mark students’ work, track their progress, and provide constructive feedback
• Maintain a safe, focused, and positive learning environment
• Build rapport with parents and provide updates on student progress termly
• Support trial classes and centre-level activities
• Participate in team meetings and professional development sessions

What We’re Looking For

• Degree in Science or related field (MOE/NIE-trained preferred)
• Minimum 2 years of teaching experience in primary science following MOE syllabus
• Strong subject knowledge with clear and structured explanation style
• Able to engage students and manage classroom effectively
• Responsible, consistent, and organised in lesson preparation and marking
• Open to feedback and continuous improvement
• Willing to adopt the Company's teaching approach and pedagogy
• Good interpersonal and communication skills

Why Join Us:

• Small class sizes (up to 12) with focus on quality teaching
• Structured curriculum and teaching approach
• Supportive environment with opportunities for growth
• Opportunity to be part of a developing science programme

Staff Benefits:

• Comprehensive Medical and Dental benefits
• Birthday and Marriage leave
• Flexi Leave upon completing 1 year of service.
• Monthly Birthday celebration
• Team Bonding Activities
• Exclusive Staff discount for TWC/ MQ lessons
• Exclusive Staff discounts with various participating merchants

Job Summary

Support inquiry-based science learning by managing and maintaining science laboratories and learning environments, assisting teachers with practical lesson preparation, ensuring laboratory safety, and providing administrative and logistical support in a primary school setting.

Responsibilities

• Support inquiry-based learning by preparing materials and apparatus for science practical lessons and assessments
• Manage, operate, and maintain two science laboratories and related science learning environments such as the school garden and science corners
• Source, procure, and maintain an inventory of laboratory equipment and consumables
• Ensure laboratory safety by monitoring safe use of tools and potentially serving as a certified first aider
• Assist in classes, workshops, and events by providing logistical support and supervising safe laboratory practices
• Provide administrative support as assigned by the school
• Handle live specimens, including insects and chemicals, safely and responsibly

Required competencies and certifications

• NITEC Diploma or GCE ‘O’ Level Certificate
• At least 2 years of experience as a lab technician in a primary school

Preferred competencies and qualifications

• Proficiency in MS Office applications such as Word, Excel, and PowerPoint
• Good communication and interpersonal skills
  
  Working Hours:
• Mondays to Fridays: 7.00 am to 4.30pm, inclusive of 1hr lunch break
• Service not required on Saturdays, Sundays and gazetted public holidays

Key responsibilities

• Be the go-to contact for customers—handling inquiries, preparing quotations, and supporting sales activities

• Provide day-to-day administrative support to the sales team

• Maintain and update CRM and SAP systems with accurate data

• Assist in ad-hoc sales projects and administrative tasks

Job Requirements

• Experience in a Sales Support, or similar role

• Familiarity with CRM systems and strong skills in Microsoft Office (Excel)

• Experience with SAP and customer service is a big plus

• Strong communication skills and a positive, professional attitude

• Excellent organizational and multitasking abilities

• A proactive team player who can work under pressure and meet deadlines

• Strong analytical mindset with the ability to prioritize tasks

About Us

At SIMTech Innovation Factory, we are a multidisciplinary design team driven to uncover opportunities and tackle challenges that others overlook. We harness A*STAR’s cutting-edge technologies to develop innovative, unconventional solutions that inspire. Through captivating visuals and compelling storytelling, we showcase the value of ASTAR technologies and foster wider industry adoption.

Our team serves as a creative bridge between A*STAR technologies and industry partners—translating complex science into intuitive, user-centered innovations that resonate with diverse stakeholders.

 Key Responsibilities

• Lead industrial design direction for R&D and industry projects, from early concept development through design freeze and production handover.
• Translate research outcomes, emerging technologies, and user insights into compelling product concepts and design strategies.
• Drive design excellence across form, usability, ergonomics, CMF (colour, material, finish), and overall user experience.
• Develop and validate design concepts using sketches, CAD models, renderings, and prototypes.
• Collaborate closely with mechanical, electrical, and manufacturing engineers to ensure design intent is successfully realized in production.
• Participate in design reviews to evaluate concepts for usability, manufacturability, cost, and feasibility, providing design guidance and trade-off decisions.
• Prepare high-quality visual presentations and design documentation to communicate design intent to internal teams, industry partners, and stakeholders.
• Support product industrialization activities by working with engineering teams on tooling reviews, pilot builds, and production feedback.
• Guide and mentor junior designers, fostering good design practices and design thinking within project teams.
• Contribute to the development of design methodologies, processes, and standards within the Innovation Factory.

 Requirements

• Degree in Industrial Design, Product Design, or a related discipline.
• 5+ years of professional experience in industrial design, preferably in R&D, advanced development, or product innovation settings.
• Demonstrated experience in designing real products that have been successfully launched to the market.
• Strong design portfolio showcasing concept development, user-centered design, and final production outcomes.
• Proficiency in design tools such as Sketching, 3D CAD (e.g. Rhino, SolidWorks, Creo), and rendering software (Keyshot).
• Solid understanding of materials, manufacturing processes, and production constraints—sufficient to collaborate effectively with engineering teams.
• Proven experience working closely with engineering, research, and manufacturing partners to translate design intent into manufacturable products.
• Excellent communication and presentation skills, with the ability to engage both technical and non-technical stakeholders.
• Ability to lead design discussions, provide clear direction, and make informed design decisions within project constraints.
• Strong passion for innovation and applied design with real-world impact

Nice to Have:

• Experience working with industry partners, SMEs, or government-supported R&D programs.
• Exposure to sustainability, human-centered design, or design for manufacturability practices.
• Experience mentoring designers or leading small design teams.

SIMTech is looking for a motivated, innovative quick learner with excellent interpersonal skills to join the Remanufacturing Process Technology Group (RPT) - Intelligent Remanufacturing Process Team.  The successful candidate will have opportunities to participate in research and industry projects related to leveraging AI tools for knowldege extraction and structuring for downstream manufacturing processes planning. 

The following areas will be included and mentored by senior staff:

• To develop tools to extract critical engineering communication infomation and structure them, leveraging on AI tools.
• To coordinate and structure development of AI solutions for discrete component manufacturing. 
• To understand and assign manufacturing processes based on features detected on a component via various agents.
• To provide AI support for manufacturing process quality including DED, Machining and Joining. 
• To guide and mentor junior engineers and interns in the area of AI tool development in manufacturing.
• To bridge and improve digital workflows in engineering design with the aid of AI algorithms. 

JOB REQUIREMENT

• PhD in Mechanical or Manufacturing Engineering.
• Understands how to leverage AI tools to detect and extract critical infomation from 2D drawings for downstream automation.
• Understands the elements that constitute 3D CAD (.STEP, .STL, SLDPRT, etc.) files.
• Has deep knowledge and understanding of AI libararies and tools for feature recognition and information extraction.
• Is adapt with AI frameworks and agentic platform development. 
• Understands how to effectively develop models with minimal data requirements.
• Is able to intergrate manufacturing knowledge to automate manufacturing processes with context.
• Ability to work effectively and independently in a dynamic environment with cross-functional project teams.
• Able to critically think of solutions outside the box and communicate effectively.

Job Description:

The OIS Group is seeking a highly motivated and very experienced senior or principal scientist to define, develop, deliver and lead optics-based solutions for advanced semiconductor metrology and inspection challenges.

The candidate will play the key role in driving optics-led R&D, translating metrology requirements into novel optical architectures and delivering system-level solutions that address critical needs in semiconductor equipment manufacturing. The candidate will work closely with multidisciplinary teams (systems, algorithms and industry partners) to shape research directions and execute high-impact R&D in the following areas:

• Optical Metrology and Inspection for Semiconductor Manufacturing
• High-resolution Imaging Optics
• Multi-scale, Multi-spectral Imaging Systems
• Advanced Microscopy Techniques
• Novel Optical Architectures for Metrology

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

• Define optical concepts and architectures to address semiconductor metrology and inspection problems from requirements definition to solution delivery
• Drive the development of novel optical systems for high-resolution metrology
• Formulate scientific research directions and competitive proposals to secure internal and external research funding
• Understand semiconductor equipment manufacturing challenges and translate industry needs into impactful optics-based research opportunities
• Work closely with industry partners to deliver proof-of-concept systems, demonstrators and applied R&D outcomes
• Contribute to the growth of optics and metrology capabilities through technical mentorship and cross-team collaboration

Job Requirements:

• PhD degree in Optics, Physics or other relevant disciplines
• Candidates with strong fundamentals in optical system design and laser technologies, with hands-on experience in developing and validating optical systems and at least 10 years' experience in research and leadership of R&D projects in the relevant area of expertise, preferably in semiconductor inspection, metrology, or related precision manufacturing domains
• Proven ability to attract significant levels of research funding
• Demonstrated ability to translate complex metrology problems into practical optical solutions
• Strong track record of scientific publications in highly cited journals and patents in relevant fields
• Experience working with industry partners and delivering applied R&D outcomes is expected
• Strong written and verbal communication skills, with the ability to engage technical peers, management, and external stakeholders
• Self-driven, adaptable, and proactive team player with the ability to work across disciplines

Role Summary

We seek a Machine Learning Scientist to lead and support R&D in applying AI/ML to manufacturing challenges, particularly in process monitoring, quality improvement, and reconfigurable systems.

Key Responsibilities

• Conduct research on ML/AI applications in smart manufacturing.
• Develop & deploy ML pipelines with MLOps practices.
• Work with time series data for predictive modeling.
• Apply advanced ML methods: few-shot, transfer, continual learning.
• Collaborate in a multidisciplinary team.
• Ensure scalable and reproducible ML workflows using Docker.

Requirements

• PhD in Computer Science, Engineering, or related field (focus on ML/AI).
• Proven experience with ML in production environments.
• Proficient in time series analysis & quality monitoring systems.
• Familiar with Docker and MLOps best practices.
• Knowledge of advanced ML techniques (few-shot, continual learning, etc.).

Preferred Skills

• Knowledge of predictive shopfloor analytics, especially predictive maintenance management and predictive quality management
• Background in smart/digital manufacturing.
• Familiarity with Industry 5.0 and reconfigurable systems.
• Strong Python skills; experience with ML frameworks (PyTorch/TensorFlow).
• Exposure to cloud platforms (AWS, GCP, Azure).