Total 1,350 job vacancies in Singapore

Job Description

We are seeking a Curriculum Specialist to design and implement science curriculum for secondary students. The role focuses on developing effective teaching approaches, strengthening tutor capabilities, and improving student outcomes, alongside providing tutoring under the CDAC Tuition Programme.

Job Responsibilities 

1. Curriculum Development

• Design and implement science curriculum aligned with student needs and MOE syllabuses
• Develop and pilot evidence-informed teaching approaches to improve engagement and understanding
• Use student data to refine curriculum and enhance programme effectiveness

2. Professional Development

• Design and deliver training, resources, and coaching to strengthen tutors’ instructional practices
• Collaborate with internal teams and external partners to support innovative learning initiatives

3. Tutoring

• Tutor and coach Secondary Science students, providing targeted academic support
• Monitor student progress and provide feedback
• Assist with tutor coverage when required, including evenings and weekends

4. Programme Support

• Support programme implementation, reporting, and partnerships

Requirements

• Degree in Science, Science Education, or related field
• At least 3 - 5 years’ experience in teaching or curriculum development (Secondary Science preferred)
• Good knowledge of MOE Secondary Science syllabuses and assessments
• Experience in curriculum design and educator support is an advantage
• Strong communication and analytical skills with a student-centred approach
• Passion for supporting low-income learners
• Willing to work evenings/weekends and travel between centres

Key Responsibilities

1.     Respond to customer by providing product information over the phone and at customer’s sites.

2.     Follow-up with customers to ensure satisfaction and address any issues.

3.     Maintain customer databases and update visit records regularly by keeping track of the sales visits and activities, including customer interactions, sales leads and follow-up tasks.

4.     Provide regular updates to the sales team regarding client feedback, market trends and competitor activities.

5.     Assist in preparing sales presentations, quotations and proposals for customers.

6.     Assist in workshops and at exhibitions to showcase our products and services.

7.     Timely deliveries of small items, ensuring customer satisfaction.

8.     Maintain inventory of sales materials, including brochures, samples and promotional items.

9.     Collaborate with internal departments to support both pre/post sales activities and resolve customer issues.

Key Skills/ Competencies

•          Quick learner with a keen interest in the healthcare sector.

•            Excellent communication and interpersonal skills.

•            Independent learner with good organizational and time- management abilities.

•           Willingness to learn and adapt to new tasks and responsibilities.

•            Strong problem-solving skills and a customer-centric approach.

•            Proficient in Microsoft Office and social media platforms.

Join Our Team at the School of Biological Sciences, Nanyang Technological University, Singapore

The School of Biological Sciences (SBS), part of the College of Science at Nanyang Technological University, was established in 2002 with a mission to advance excellence in biological and biomedical sciences. Our research spans diverse and impactful areas including infectious diseases, immunology, neurodegenerative disorders, telomere biology, and genome function. SBS is home to a vibrant, international community of scientific leaders, researchers, and professionals dedicated to innovation, discovery, and education.

We are seeking a motivated and talented Research Fellow to join the laboratory of Associate Professor Guillaume Thibault and contribute to an exciting research program at the interface of host-pathogen interactions and cellular stress biology. This is an opportunity to work with a multidisciplinary team of experts at NTU and partner institutions, and to make a meaningful contribution to our understanding of chronic wound pathogenesis.

Key Responsibilities

• Plan, design, and implement independent research projects within a collaborative, multidisciplinary program

• Acquire and apply expertise in host-cell biology, including mammalian cell culture, fluorescence microscopy, flow cytometry, and molecular biology techniques

• Take a lead role in manuscript preparation and present research at international conferences and meetings

• Co-mentor graduate students and research staff

• Communicate regularly with principal investigators, collaborating colleagues, and lab members

Job Requirements

• PhD in cell biology, biochemistry, molecular biology, or a related field

• Hands-on experience in mammalian cell culture, fluorescence microscopy, flow cytometry, and standard molecular biology techniques

• Excellent written and oral communication skills in English, with demonstrated experience in scientific writing - essential for data analysis and communication with stakeholders

• At least one first-author publication in an internationally recognized peer-reviewed journal

• Ability to work independently and collaboratively within a large, international team

The College of Science seeks 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.

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-%28Sustainable-Diets%29/32517-en_GB/

We regret that only shortlisted candidates will be notified.

Job Description

Applications are invited for the following full-time position in the Saw Swee Hock School of Public Health:

Research Assistant

The Saw Swee Hock School of Public Health (SSHSPH) at the National University of Singapore (NUS) is recruiting a full-time, experienced research assistant to support a funded research project investigating knowledge, attitudes, and practices related to sustainable diets, their environmental implications (e.g. greenhouse gas emissions), and their association with cardiometabolic disease outcomes in a multi‑ethnic Asian population in Singapore.

Job scope:
• Support the development, adaptation, and implementation of a knowledge, attitudes, and practices survey on sustainable diets and environmental impact, including assisting with item refinement, pilot testing, and survey documentation
• Assist in administering and coordinating the conduct of the survey, including data integrity checks and response tracking, as applicable
• Manage, clean, and analyse survey data
• Support analysis of dietary data derived from food frequency questionnaires in large population-based cohorts
• Assist in deriving and validating diet quality indices (e.g. Planetary Health Diet Index)
• Support assessment of sustainable diet indicators, including environmental impact metrics where applicable
• Conduct literature reviews on sustainable diets, nutrition-related health outcomes, and planetary health
• Assist with data cleaning, management, and statistical analyses using epidemiological datasets
• Contribute to preparation of manuscripts, abstracts, and presentations for academic and policy audiences
• Perform other research-related duties as assigned by the Principal Investigator

Requirements:
• At least 1–2 years of relevant research experience, preferably in population health, nutrition, or survey‑based studies
• Experience working with survey or questionnaire data, including data entry, cleaning
• Familiarity with quantitative data analysis and interpretation
• Proficiency in at least one statistical software package (e.g. R, STATA)
• Good understanding of research ethics and data confidentiality in human subjects research
• Strong organizational skills and attention to detail, with the ability to manage multiple tasks and deadlines
• Ability to work independently and collaboratively within a multidisciplinary research team
• Clear written and verbal communication skills in English

The following knowledge and experience would be advantageous:
• Prior experience in survey development, pilot testing, or fieldwork coordination
• Familiarity with dietary assessment methods (e.g. FFQs, diet indices)
• Experience or familiarity with life cycle assessment (LCA) or environmental impact assessment, particularly in the context of food systems, diets, or sustainability research
• Experience contributing to manuscripts, reports, or conference abstracts

The grade of appointment will be accorded based on candidate’s academic qualifications and years of relevant experience.

Applicants should send the following documents during application:
a. Cover letter highlighting career goals and relevant experience
b. Curriculum Vitae, containing details of three named referees

Please note that only shortlisted candidates will be contacted.

Qualifications

• Bachelor's degree in Public Health, Nutrition, Epidemiology, Biostatistics, Environmental Health, Behavioural Science, or a closely related discipline

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-%28Digital-Concrete%29/32505-en_GB/

We regret that only shortlisted candidates will be notified.

Job Description

The Department of Civil & Environmental Engineering (CEE) of the National University of Singapore is hiring one Research Fellow (RF) to assist the Principal Investigator in the research area of digital concrete with a focus on the design, printing, testing. 

The RF is required to work on : 

(1) Development of durable construction materials from locally available resources for marine applications, 
(2) Assessment of environmental impact of the developed concrete mixture 
(3) Evaluation of the service life of the developed durable concrete mixture. 

Job Requirements

•    Possess a PhD degree in Civil Engineering or Mechanical Engineering with demonstrated experience in designing and conducting experiments, statistical data analysis and possess excellent quantitative, and analytical skills. 
•    The ideal candidate is expected to be self-motivated and can work in an interdisciplinary environment.
•    Ability to work with minimal supervision, plan and perform experimental and field work, and present results in group meetings. 
•    Strong written and spoken communications skills.
•    Prior experience in digital concrete, design, low-carbon concrete is essential to the posted job.  
•    Applications should include (i) a motivation letter, (ii) a detailed Curriculum Vitae, and (iii) contacts of 3 referees. Only shortlisted applicants will be contacted.
•    Open to fixed term contract. 

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-Engineer-%28Digital-Concrete%29/32504-en_GB/

We regret that only shortlisted candidates will be notified.

Job Description

The Department of Civil & Environmental Engineering (CEE) of the National University of Singapore is hiring one Research Engineer (RE) to assist the Principal Investigator in the research area of digital concrete with a focus on the design, printing, testing. 
 

The RE is required to work on:
(1) Development of durable construction materials from locally available resources for marine applications.
(2) Assessment of environmental impact of the developed concrete mixture.
(3) Evaluation of the service life of the developed durable concrete mixture. 

Job Requirements

·     Possess a bachelor’s degree in civil engineering or mechanical engineering with demonstrated experience in designing and conducting experiments, statistical data analysis and possess excellent quantitative, and analytical skills. 
•    The ideal candidate is expected to be self-motivated and can work in an interdisciplinary environment. 
•    Ability to work with minimal supervision, plan and perform experimental and field work, and present results in group meetings. 
•    Strong written and spoken communication skills. 
•    Prior experience in digital concrete, design, low-carbon concrete is essential to the posted job.  
•    Open to fixed-term contract. 
•    Applications should include (i) a motivation letter, (ii) a detailed Curriculum Vitae, and (iii) contacts of 3 referees. Only shortlisted applicants will be contacted.
•    Open to fixed-term contract

We are seeking Research Assistant to join a university-level research centre collaborating with industry. Successful candidates will be involved in a project that is related to object detection. The key responsibilities include the following:

• Participate in lab work and support on data-efficient object detection with key techniques in few-shot learning, transfer learning, image synthesis, etc.

• Assist in preparing technical documentation, reports, and research reports and/or publications as required by the funding body or for dissemination to the wider academic community.

• To undertake any other duties relevant to the programme of research.

Job Requirements:

• Bachelor’s degree (or near completion) in Computer Science, Electrical/Computer Engineering, or a related field.

• Basic understanding of machine learning and computer vision principles.

• Familiarity with Python and at least one deep learning framework (e.g., PyTorch, TensorFlow, or Keras).

• Interest in research and willingness to learn and explore new concepts.

• Good communication skills and ability to work both independently and as part of a team.

• Strong motivation, initiative, and a passion for solving technical challenges.

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

The Singapore Centre for Environmental Life Sciences Engineering (SCELSE) is a leading interdisciplinary research centre jointly hosted by Nanyang Technological University (NTU) and the National University of Singapore (NUS). SCELSE brings together expertise from the life sciences, engineering, and natural sciences to advance the understanding, engineering, and control of complex microbial communities, including biofilms and microbiomes.

Positioned at the intersection of discovery and application, SCELSE leverages emerging technologies and cross‑disciplinary innovation to address pressing global challenges in health, sustainability, and environmental resilience.

Role Focus

This role will contribute to cutting‑edge research aimed at developing innovative strategies to modulate the gut microbiome for human health. The successful candidate will work within a highly collaborative, forward‑thinking research environment, translating foundational science into impactful insights with potential clinical, nutritional, and therapeutic applications.

SCELSE is seeking a highly motivated Senior Research Fellow to lead and coordinate a strategic research program focused on developing and validating the effects of bioactive components on the gut microbiome and biofilms.

The successful candidate will:

• Provide scientific and operational leadership for the project, including co‑developing study objectives, work plans, timelines, and experimental strategies in close collaboration with internal teams and external partners.

• Design, lead, and execute experimental workflows, from concept through validation, ensuring scientific rigor and reproducibility.

• Perform and oversee advanced data analysis, translating complex biological data into meaningful insights that support innovation and application.

• Contribute hands‑on experimental support where required, while guiding junior researchers and fostering a high‑performance research culture.

• Engage actively with stakeholders across academia, industry, and other partner organizations to align research outcomes with broader translational and societal impact goals.

Requirements & Qualifications

• PhD in Biological Sciences or a closely related field.

• Minimum of 5 years of relevant research experience in microbial ecology and molecular biology, with strong expertise in microbiomes and/or biofilms.

• Demonstrated experience in research or project management, with working knowledge of biostatistics, data analytics, and intellectual property considerations in a research or innovation environment.

• Proven ability to work independently, solve complex scientific problems under tight timelines, and deliver high‑quality outcomes with strong attention to detail.

• Excellent organizational and time‑management skills, with the flexibility to manage multiple priorities in a dynamic setting.

Leadership & Professional Competencies

• Strong leadership and influencing skills, with the ability to build productive relationships and credibility with stakeholders at all levels.

• Collaborative mindset with experience working effectively in fast‑paced, multidisciplinary, and cross‑functional teams.

• International research or professional experience is highly desirable, along with an established regional or global professional network.

• Excellent written and verbal communication skills, including scientific writing and presentations.

• Outstanding interpersonal skills, cultural awareness, and a strong commitment to teamwork, mentorship, and continuous learning.

We regret that only shortlisted candidates will be notified.

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-%28Wave-Overtopping%29/32491-en_GB/

We regret that only shortlisted candidates will be notified.

Job Description

This position supports Work Package 1 (WP1) experimental studies of wave overtopping over Singapore-relevant coastal protection structures for local design guidance.

The successful candidate will be required to:

•     Conduct scaled physical model tests at NUS for revetments, promenades, and vertical walls
•     Measure and analyse q, Vmax, flow depth/velocity, crest pressures, and related loads; quantify uncertainty; and derive local   empirical relationships aligned with EurOtop
•     Support WP1 reports/publications and provide validation data and hydraulic inputs to other work packages.

Job Requirements

•    Possess at least a bachelor’s degree in Coastal Engineering, Ocean Engineering, Civil Engineering, Mechanical Engineering, or a closely related discipline.
•    Masters degree will be preferred. 
•    Strong background in physical modelling of coastal/free-surface flows or wave-structure interaction.
•    Experience with hydraulic laboratory experiments, instrumentation, and data analysis.
•    Proficiency in Python, MATLAB, or similar; prior wave overtopping/coastal structures experience is advantageous.
•    Has prior strong publication records and independence.
•    Excellent written and verbal communication skills.
•    Open to fixed-term contract.  

The National Institute of Education invites suitable applications for the position of Research Fellow on an 8-month contract at the Centre for Research in Child Development.

Project Introduction:

The Centre for Research in Child Development (CRCD) is a leading research centre dedicated to advancing understanding of child development and early education. CRCD conducts multi-project research to generate high-quality evidence that informs policy, practice, and innovation in the early childhood sector.

We are seeking a Research Fellow to support CRCD’s research initiatives by contributing to the secondary analysis of existing research datasets to address viable research questions on classroom quality. This role also involves assisting in the preparation of research funding proposals and facilitating the effective start-up of related research project teams. The position offers an excellent opportunity to work with rich datasets and contribute to impactful research in a collaborative and dynamic environment.

Requirements

• PhD in Education, Psychology, Child Development, Statistics, or a related field.

• Strong experience in quantitative data analysis, preferably in secondary data analysis of large-scale datasets and the use of advanced statistical techniques (e.g., multilevel or longitudinal modelling).

• Expertise in classroom observation video coding will be highly advantageous.

• Familiarity with classroom quality frameworks or early childhood education research is essential.

• Experience contributing to competitive research grant projects, especially projects incorporating longitudinal designs or classroom observation, is desirable.

• Strong analytical, critical thinking, and problem-solving skills, with excellent academic writing ability.

• Excellent organisational and project management skills, with the ability to manage multiple tasks and collaborate effectively with diverse stakeholders.

Responsibilities

• Conduct horizon scanning on emerging developments (e.g., AI in education, new early childhood risks, and international trends) and synthesise their implications for CRCD’s research directions, partnerships, and funding opportunities.

• Conduct exploratory and longitudinal analyses of existing datasets to uncover viable research questions and examine patterns, variability, and relationships between classroom quality and child development outcomes.

• Collaborate with relevant researchers and stakeholders to draft high-quality research funding proposals - integrating literature reviews, methodology sections, and other supporting materials - leading to submission.

• Support the planning and set-up of new research project teams, including facilitating early-stage project activities and onboarding of team members. 

• Explore, pilot, and document technology-enabled research processes (e.g., AI-assisted literature scanning and synthesis tools), and support Centre Management in developing improved workflows to enhance CRCD’s research efficiency.

• Any other research-related responsibilities assigned by Centre Management.  

Application

Applicants (external and internal) will apply via Workday. We regret that only shortlisted candidates will be notified.

Workday Job Requisition ID: R00024148
(https://ntu.wd3.myworkdayjobs.com/Careers/job/NTU-Main-Campus-Singapore/Research-Fellow--Centre-for-Research-in-Child-Development---NIE-_R00024148)

Closing Date

Closing date for advertisements will be set to 14 calendar days from date of posting.

The Research Fellow will participate in independent and collaborative research with a focus on DNA repair with an aim to advance translational research in breast cancer. You will be part of a dynamic, multidisciplinary environment comprising data scientists, laboratory researchers, and clinician scientists, which aim to advance translational research in breast cancer. You will also be responsible for overseeing wet-laboratory experiments, developing and optimizing data analysis workflows, mentoring junior researchers, and supporting research on patient derived models and mechanistic studies on breast cancer.

The responsibilities will include:

1) Research Contribution and Impact:

- Lead and supervise research projects relating to DNA repair, ecDNA, novel therapeutic targets and biomarkers in breast cancers.

- Carefully maintain and expand patient-derived breast model biobank.

- Evaluate and apply appropriate bioinformatics/statistical techniques, as well as develop and implement novel approaches to answer research questions.

- Prepare high quality visualizations, reports, and presentations for internal reviews, collaborations, and publications.

- Contribute to manuscript writing and presentation of research outcomes at internal and external conferences.

2) Mentorship and Supervision:

- Supervise Research Officers, PhD students and interns in conjunction with the PI.

- Communicate effectively with PI and team to troubleshoot protocols and workflow.

- Foster a collaborative and supportive work environment to contribute positively to team goals and outcomes.

3) Grantsmanship:

- Apply for independent grant funding.

- Assist with PI’s key research grant applications and reports throughout the year.

Requirements:

- Doctor of Philosophy (PhD) in Bioinformatics, Computational Biology, Genomics, Cancer Biology, or a related field.

- Demonstrated experience with basic and advanced lab techniques, including both cell and molecular biology techniques.

- Demonstrated experience with animal work.

- Familiarity with basic bioinformatics workflows.

- Good understanding of statistical methods used in biomedical research and profiling analysis.

- Excellent communication skills and ability to work in cross‑disciplinary teams.

- Proven ability to work independently and lead research initiatives.

- Experience developing or validating predictive models for clinical or translational research.

- Fluent in both written and spoken English.

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-%28Construction-Robotics%29/32520-en_GB/

We regret that only shortlisted candidates will be notified.

Job Description

The Department of Civil and Environmental Engineering at the National University of Singapore (NUS) is seeking to recruit a Research Fellow (RF) to participate in innovative general research focused on robotics and automation within the construction and built environment. 

The successful candidate will play a key role in developing an algorithmic solution for robotics that integrated with Building Information Modeling (BIM). Key responsibilities include designing the software architecture, applying advanced robotics techniques to support project objectives, collaborating closely with multidisciplinary teams, and leading groups of student interns. In addition to project-specific research tasks, the Research Fellow will be expected to handle administrative and operational matters related to the Centre for Construction Robotics & Automation (CCRA). 

Job Requirements

•    At least a PhD in Mechanical Engineering with a specialization in Robotics, or related field from a reputable university.
•    Evidence of strong publication record in top academic journals.
•    Proficiency in programming languages, particularly in Python or Matlab for automation and data analysis tasks.
•    Prior Civil Engineering/Built Environment related experience, practices and workflows will be an added advantage.  
•    Strong research experience, specifically in past research projects related to robotics or scene graphs is required.
•    Strong written and oral communication skills.
•    Open to fixed-term contract.

Job Details

Location: City Hall

Working Hours: Monday - Friday, Office Hour

Work Type: 12-Month Contract

Salary: Up to $ 3,600 per month

What you will be working on?

(A) Research

• Research and compilation of content for exhibitions and acquisitions using primary and secondary sources.
• Assist with preparation and editing of exhibition texts, manuscripts, bibliographies, captions, and footnotes.
• Assist with the conceptualisation and development of digital/multimedia/interactive content.

(B) Publications and talks

• Assist with publications and/or collaterals (e.g. catalogue, exhibition guide, trail kit) from conceptualisation, research, and writing, to proof reading, printing and distribution tasks.
• Assist with organising talks/symposia or related curatorial programmes.

(C) Collections Development

• Assist curators with acquisitions including loans, purchases, and donations, preparation of acquisition documentation, acquisition justification forms and other administrative documents.
• Assist with cataloguing of collections.

(D) Other duties

• Administrative tasks e.g. compilation of artefact lists, image /multimedia orders, archiving of photographs, filing relevant documentation.
• Liaising with internal and external stakeholders
• Any other duties as assigned by the management.

What are we looking for?

• Singaporean only
• Minimum degree in art history, history, anthropology, museum /curatorial studies, Southeast Asian studies, or in another related subject.
• Strong analytical, writing, and research skills in English. Proficiency in an Asian language would be advantageous.

By submitting your resume, you consent to the collection, use, and disclosure of your personal information per ScienTec’s Privacy Policy (scientecconsulting.com/privacy-policy).

This authorizes us to:

Contact you about potential opportunities.

Delete personal data as itis not required at this application stage.

All applications will be processed with strict confidence. Only shortlisted candidates will be contacted.

Carmen Tan Huei Mun |R23115837

ScienTec Consulting Pte Ltd |11C5781

Key Responsibilities:

• The postdoctoral applicant must demonstrate commitment to co-create impactful discoveries in the microbiome gut-brain neuroscience field with us.

• In addition to being exceptionally motivated, having core skills for animal and lab work, and willing to work in our team and help with essential lab duties.

• The candidate must have experience and specialized expertise in multiphoton/ 2-photon in vivo calcium imaging and data analysis, or in gnotobiotic studies and microbiome analysis/bioinformatics.

Key Competencies/Requirements:

• Hold a doctoral (PhD) degree in neuroscience or relevant disciplines with strong publication track record

• Lead impactful work within the lab’s research theme on the microbiome gut brain neuroscience

• Exhibit proficiency in mice/rodent handling, optogenetics and behaviours, animal surgery and dissection

• Demonstrate experience and specialized expertise in multiphoton/ 2-photon in vivo calcium imaging and data analysis, or in gnotobiotic studies and microbiome analysis/bioinformatics

• Be highly motivated and conscientious, able to work independently and with a team, and willing to teach, learn, and assist with essential lab duties

We regret that only shortlisted candidates will be notified.

Key Responsibilities:

• Develop and conduct high quality research independently, as a candidate is expected to have relevant experience in one or more of these areas (e.g. mice/rodent handling, optogenetics and behaviours, animal surgery and dissection, calcium imaging, gnotobiotic studies and microbiome analysis, etc).

• Lead, assist or learn in a dynamic range of projects and lab duties, including but not limited to molecular biology and histology procedures, microscopy, rodent behavioural assays, neuroscience optogenetic and chemogenetic techniques, functional recording and calcium imaging, mice surgery, data analysis and presentation, lab maintenance and office, academic and administrative tasks

• Mentor and collaborate with group members and other research teams

• Demonstrate him/herself exceptionally self-motivated, a team player

• Any other responsibilities as advised by the PI based on the evolving needs in the lab

Key Competencies and Educational Requirements:

• Hold a Masters or Bachelor degree in Biology or relevant disciplines

• Have a keen interest in the lab’s research theme on the microbiome gut brain neuroscience

• Be proficient in relevant techniques described above

• Be highly motivated and conscientious

• Demonstrate her/his competencies and qualifications satisfactorily

• Work independently, and also have the ability to work effectively in a team

• Have good organisational, verbal and interpersonal skills

Salary: up to $2500

Duration: 1 year contract

Working Days & Hours: Mon-Fri Office Hours

Location: One North

Job Description:

• Perfume compounding and material selection as per formulation.

• Updating compounding information in the Electronic Lab Notebook.

• Ensuring clean tools are used for weighing.

• Preparation for odor evaluations.

• Maintaining End-to-End (E2E) service of material management.

• Supporting the shipping of compounded materials with complete shipping documents.

• Operating and maintaining the Contexa robot.

Job Requirements: Min Diploma in Applied Chemistry/Perfumery and Cosmetic Sciences/Chemical Engineering or similar w min 1 yr of relevant experience in chemistry laboratory environment 

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

The Services required are set out as follows:

1. Assist in the preparation of teaching and learning resources.

2. Assist in the preparation of science experiment materials and

maintain the cleanliness and organisation of the science

laboratory.

3. Assist students in carrying out the science experiments under the

supervision of the Science teachers.

4. Provide administrative support to the teachers (e.g. preparation

of student’s achievement certificates and collation of students’

survey responses).

5. Manage the loan and return of teaching resources and prepare

documentation for the condemnation of teaching resources

where required.

6. Provide front-desk customer service, including handling walk-in

and telephone enquiries from parents as when required.

7. Assist with school printing duties as when required.

Qube Research & Technologies (QRT) is a global quantitative and systematic investment manager, operating in all liquid asset classes across the world. We are a technology and data driven group implementing a scientific approach to investing. Combining data, research, technology, and trading expertise has shaped our collaborative mindset, which enables us to solve the most complex challenges. QRT’s culture of innovation continuously drives our ambition to deliver high quality returns for our investors.

We are looking for an Office Administrative Assistant. This role is based in Singapore, reporting to our SG Office Manager. In this role you will be responsible for supporting all aspects of our growing team of traders, researchers, and technologists. The role will suit an individual who is self-motivated and is able to adopt a methodical, logical, and creative approach to new challenges.

Responsibilities:

• Greeting visitors
• Managing meeting room bookings
• Answering and directing phone calls
• Ordering office and pantry supplies
• Upkeep of office tidiness
• Booking and managing travel arrangements
• Coordinating onboarding setup for new hires
• Assisting overseas visitors (seating, access, etc)
• Coordinating office meals
• Assisting in special events (office outings, trainings, etc)
• Assisting in office renovation projects

Requirements:

• 10-15 years of experience in administrative support or similar roles in a large and established organisation  
• Excellent organisational and time management skills, with the ability to multitask and prioritise effectively  
• Strong written and verbal communication skills 
• Proficient in Microsoft Office Suite and other relevant software tools 
• Ability to handle confidential information with integrity and discretion 
• Self-motivated, with the ability to work independently with minimal supervision  

QRT is an equal opportunity employer. We welcome diversity as essential to our success. QRT empowers employees to work openly and respectfully to achieve collective success. In addition to professional achievement, we are offering initiatives and programs to enable employees achieve a healthy work-life balance.

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%2C-Computer-Science-%28School-of-Computing%29/32467-en_GB/

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 Computer Science, 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 Computer Science and Information Systems.

The successful candidate 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:

• Cybersecurity Attacks & Defences
• Programming Languages & Software Engineering
• CS Education Pedagogy

Only shortlisted candidates will be notified.

Qualifications

• Bachelor’s degree (or a fresh Master’s degree) in a relevant field
• Research experience in the relevant area(s)

Responsibilities

• Develop, implement, and validate autonomous berthing algorithms for MASS, integrating vessel manoeuvring models, sensor data, and environmental disturbances (wind, waves, currents).
• Contribute to the simulation and digital twin platforms for autonomous berthing operations, including real-time control system integration.
• Support physical model-scale experiments in the TCOMS ocean basin, focusing on berthing manoeuvres and control refinement.
• Collaborate with industry partners, and technology providers to address operational, safety, and regulatory requirements for autonomous berthing.
• Participate in preparing project deliverables, proposals, and publications under funded research programmes.
• Perform other tasks as assigned by the supervisor.

Requirements

• Bachelor/Master in Naval Architecture, Maritime Engineering, or related field.
• Experience in autonomous vessel control, motion planning, and manoeuvring dynamics with constrained environments.
• Strong programming skills in MATLAB/Simulink, Python, or C++, with exposure to real-time control.
• Strong analytical ability, creativity, and interest in real-world R&D challenges.
• Good teamwork and communication skills to engage with multidisciplinary stakeholders.
• Independent, resourceful, and able to deliver under tight schedules.

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.

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-%28Supply-Chain-Management%29/32507-en_GB/

We regret that only shortlisted candidates will be notified.

Job Role/ Core Capabilities

• Experience with logistics and supply chain processes, including transport operations, fleet management, and operational readiness frameworks
• Model & Algorithm Development: Design, build and implement optimisation models for various transportation contexts, and machine learning classifiers
• Heuristics & Solvers: Develop and refine custom heuristics and metaheuristics (e.g., Tabu Search, Genetic Algorithms) to find high-quality solutions for large-scale, real-world problems. Utilise commercial and open-source solvers (e.g., Gurobi, CPLEX, Google OR-Tools).
• Formulate and solve Mixed-Integer Linear Programmes (MILP) for real-time vehicle–task assignment including objective function design and constraint modelling
• Design, implementation, and delivery of simulation data science solutions to perform system-of-systems discrete event simulations for significantly complex operational processes (e.g., AnyLogic, AnyLogistix, FlexSim, Arena, Demo 3D, etc.)
• Data Analysis & Feature Engineering: Analyse historical and real-time data from multi-source inputs
• Experience analysing large datasets and applying data-cleaning techniques along with performing statistical analyses leading to the understanding of the structure of datasets
• Machine Learning & AI: Train, evaluate, and deploy supervised classification models (e.g., XGBoost, LightGBM), design ensemble pipelines combining rule-based, probabilistic, and ML components; apply explainability tools (e.g., SHAP, LIME) to produce interpretable, auditable decision outputs
• Experience with data visualisation and visualisation tools (e.g., MS Power BI, Tableau), including design and delivery of operational KPI dashboards covering driver–task mismatch rates, fleet health distribution, fatigue heatmaps, and dispatch allocation efficiency

Requirements

Education

• PhD in industrial engineering, Operations Research, Computer Science, Operations Research or an equivalent field

Experience

• Min 1–2 years of experience in logistics and supply chain management
• Experience in research or applied engineering environment delivering optimisation, simulation, or decision-support systems for operational contexts
• Track record of end-to-end model delivery: problem formulation: data pipeline, algorithm design, implementation, validation, stakeholder communication

Technical Skills

• Experience or familiarity with optimisation packages such as Gurobi, CPLEX, OR-Tools, and Python PuLP for MILP formulation and solver configuration
• Experience or familiarity with simulation tools such as AnyLogic, AnyLogistix, FlexSim, Arena, AIMMS, Demo 3D or similar tools
• Proficiency in Python including pandas, numpy, scipy, scikit-learn, XGBoost, PuLP/OR-Tools, and pytest; proficiency in SQL for data queries and operational log extraction
• Experience with MS Power BI, Tableau
• Familiarity with MLflow or equivalent experiment tracking tools for ML retraining pipelines
• Proficiency in MS Office

The School of Chemistry, Chemical Engineering and Biotechnology (CCEB) is a newly established interdisciplinary joint school under College of Engineering and College of Science at NTU Singapore. The Zhong group works at the interface of organometallic and organic chemistry to develop new generations of transition metal catalysts and reagents for novel organic transformations.

The Zhong group is pursuing development of new generations of transition metal catalysts for asymmetric catalysis and C-H functionalization. The candidate should have a BS/MS degree in chemistry with prior experience in synthetic organic chemistry and/or transition metal catalysis in advanced institutions. The candidate should possess analytical skills including NMR, GC/HPLC, mass spec, etc, as well as experience in handling air-sensitive compounds with Schlenk techniques or glovebox.
 

Key Responsibilities: 

• Assist in routine lab research and data analysis in organic chemistry and organometallic chemistry.

• Assist in instrument maintenance, and acquisition of chemicals, lab supplies and consumables.

• Present research progress in group meetings and private meetings.

Job Requirements: 

• BS in chemistry

• Prior experience in synthetic organic chemistry and/or transition metal catalysis in advanced institutions.

• Analytical skills including NMR, GC/HPLC, mass spec, etc.

• Experience in handling air-sensitive compounds with Schlenk techniques or glovebox.

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.

Job Description

We are seeking highly qualified and experienced IB Mathematics and Science Instructors to join our academic team in Singapore. The ideal candidates will have a strong academic background and proven experience teaching International Baccalaureate (IB) programmes, delivering rigorous and engaging lessons that support students in achieving top academic outcomes.

Key Responsibilities

• Deliver high-quality instruction for IB Mathematics, Physics, and/or Chemistry (MYP / DP levels)
• Prepare students for IB internal assessments (IA), extended essays (EE), and final examinations
• Design and adapt lesson plans aligned with IB curriculum standards and assessment criteria
• Provide targeted academic support, including exam strategies and concept mastery
• Monitor student progress and deliver detailed, data-driven feedback
• Conduct small group classes and one-on-one sessions
• Contribute to curriculum development and academic excellence initiatives

Requirements

• Bachelor’s degree in Mathematics, Physics, Chemistry, or a related field (Master’s degree preferred)
• Minimum 3 years of teaching experience in IB programmes or equivalent international curricula
• Strong familiarity with IB syllabus, assessment criteria, and grading standards
• Proven track record of helping students achieve strong academic results
• Excellent command of English (spoken and written)
• Strong analytical, communication, and classroom management skills
• Ability to teach high-achieving students in a rigorous academic environment

Preferred Qualifications

• Experience teaching IB Diploma Programme (DP) students
• Familiarity with Higher Level (HL) subjects
• Experience guiding students in Internal Assessments (IA) and Extended Essays (EE)
• Teaching certification (e.g., PGCE, QTS, or equivalent)
• Experience in international schools or premium academic institutions

Who are we?

Explorer Academy is a dynamic science tuition centre based in Singapore, committed to sparking curiosity and building confidence in Primary and Secondary school students. We’re looking for passionate, energetic, and dedicated educators to join our growing team!

Available Job Positions:

• Primary School Science
• Lower Secondary Science
• Level Chemistry
• Level Physics
• Level Biology

What you'll do:

• Teach small group classes (6–10 students) using our in-house curriculum
• Provide academic guidance and regular progress updates to parents
• Offer support to students who need additional help
• Collaborate on lesson content updates and curriculum improvements
• Participate in planning and delivering holiday programmes

What you bring:

• Have past experience in teaching Science
• Strong understanding in Singapore MOE primary / secondary school syllabus for your relevant subject.
• Degree in Science or Science related courses
• Possesses excellent communication and collaboration skills
• Passionate in teaching and mentoring students
• Strong team player with excellent interpersonal skills
• Degree Holder (Science Degree Chemistry/Life Science/ Engineering / Teaching)

Working Hours:

4 weekdays + 1 Weekend

The Services required are set out as follows:

a. Management of resources

 Regular Inventory management in Science Labs including stock-

take, replenishing, repairs and replacement

 Assist HOD (Science) to liaise with vendors in procurement for

inventory management in Science Labs

 Organise resources neatly with name labels in the Science Labs

 Assist the teacher to facilitate student discussions

 Tidying up of Science Labs

b. Preparation of resources

 Co-ordinate loan request from teachers in the Science Labs

 Preparing and set up of resources according to scheme of work

& specifications given by teachers in the Science Labs

 Printing and photocopying jobs in the Printing Room

 Preparation of teaching aids such as cutting and lamination

works in the Science Labs

Administrative duties:

Assist with other ad-hoc administrative duties and preparation of

resources for the Authority as required by the school and/or department.