We are seeking a highly motivated Research Engineer to join the NTU-Hyundai Motor Group Innovation Center Singapore (HMGICS) Corporate Lab. The successful candidate will lead the development and integration of advanced optical sensing and machine vision systems for Body-in-White (BIW) surface inspection in automotive manufacturing.

Key Responsibilities

• Design, develop and integrate optical sensing and machine vision systems for surface defect inspection.

• Support the setup, calibration and validation of imaging and measurement platforms.

• Conduct experiments, analyse system performance and recommend technical improvements.

• Collaborate with researchers, industry partners and vendors on system development and implementation.

• Develop testing protocols, maintain technical documentation, and prepare project reports and presentations.

• Support research activities, technology evaluation, and innovation initiatives related to industrial inspection systems.

Requirements

• Bachelor's degree in Mechanical Engineering, Electrical Engineering, Optical Engineering, Mechatronics, Robotics, or a related discipline.

• Knowledge of machine vision, optical instrumentation, sensing technologies, industrial automation, or related areas.

• Experience with imaging systems, sensors, system integration, experimental testing, or measurement systems will be advantageous.

• Familiarity with image processing, computer vision, Python, MATLAB, C++, LabVIEW, or equivalent tools is preferred.

• Strong analytical, problem-solving, communication, and project coordination skills.

• Ability to work effectively both independently and within multidisciplinary teams.

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

The Assistant Manager / Senior Assistant Manager is responsible for overseeing and coordinating the end-to-end administration, governance, and operational management of research grants and funded programmes across the grant lifecycle effectively.

This role serves as a key liaison between Principal Investigators (PIs), research teams, internal and external stakeholders to oversee pre-award and post-award grant activities, monitor grant utilization and reporting requirements, manpower management and ensure timely resolution of operational and compliance matters, for smooth coordination, accountability, and delivery of funded research initiatives.

A strong foundation in scientific concepts is preferred, as the role requires reviewing research proposals and related documents to support administrative processes effectively. The incumbent may be assigned additional responsibilities by the supervisor where necessary.

Key Duties & Responsibilities

1. Pre-Award Grant Administration

• Assist in the preparation, submission, and tracking of research grant applications.
• Ensure compliance with funding requirements, institutional policies, and deadlines.
• Liaise with PIs and research teams to gather necessary documentation.
• Maintain accurate records of grant-related documents and communications.
• Review scientific proposals to ensure administrative completeness and compliance

2. Post-Award Grant Management and Compliance

• Manage post-award grant administration, including grant activation, budget tracking, and project monitoring.
• Monitor grant utilization, milestones, and project timelines.
• Track grant lifecycle for clear visibility.
• Manage grant variations and extensions where required.
• Ensure proper documentation and maintenance of grant records.
• Identify operational risks and escalate issues where necessary.

3. Financial Management and Budget Oversight

• Oversee and manage financial aspects of grants, including budgeting, expenditure monitoring and forecasting
• Verify claim statements
• Support research-related procurement and financial tracking where necessary

4. Stakeholder Management and Support

• Serve as key point of contact for internal and external stakeholders on grant-related matters.
• Ensure clear and accurate documentation of research activities and administrative processes.
• Support audit and compliance checks as required.

5. Manpower Management and Administrative Coordination

• Coordinate manpower-related processes for grant-funded projects including recruitment, onboarding, contract renewals, and staff appointments.
• Monitor and forecast staffing timelines, manpower allocations and funding support in accordance with approved budgets and institutional policies.
• Maintain up-to-date manpower records for staff and clinical fellows

6. Contracts and Agreements Management

• Draft, review and negotiate research contracts, collaboration agreements, material transfer agreements etc., while liasing with legal teams.
• Monitor compliance with contractual obligations and funding terms.
• Contract lifecycle management.
• Study and understand relevant IRB protocols to advise research teams about study feasibility.

7. Research Infrastructure/Programme Development and Strategic Support

• Manage and contribute to the planning and implementation of new research initiatives, platforms, of foundational capabilities.
• Support the establishment, implementation, and operationalization of research and grant management infrastructure to support research programmes and strategic initiatives.
• Coordinate processes, workflows and governance frameworks required to support the research programme operations.
• Support onboarding and coordination of research programme resources, stakeholders and operational requirements.

Key Requirements:

• Bachelor’s Degree in Biomedical Sciences, Life Science, or a related field.
• Strong written and verbal communication skills, including preparation of grant documentation reports and correspondence.
• Experience in grant administration, research management or research operations.
• Demonstrated experience in budget preparation, financial tracking for research grants.
• Experience in contract management of research agreements (i.e. work plan creation/amendment, facilitating contract discussions).
• Good critical thinking and problem-solving skills.
• Possess an understanding of medical and clinical research terminology.
• Candidate should preferably have background in cancer biology and/or genomics and data science.
• Self-motivated and team player.
• Ability to complete tasks independently with minimal supervision.
• Ability to work on multiple projects involving multiple stakeholders concurrently.
• Adaptability and able to navigate within an evolving research and regulatory landscape.
• Good organizational and interpersonal skills.
• Attention to detail with strong documentation and record-keeping skills.

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-%28Chemistry%29/33296-en_GB/?st=A995DE39F8DA5ECF6CD7640B102DE677C18D0B87

We regret that only shortlisted candidates will be notified.

Job Description

The successful candidate will work with Asst. Prof. Liviu Ungur on development of the sampling methodology of machine learning potentials under a project on "Achieving Transferability in MLFFs via Targeted Sub-Configuration Space Curation and Sampling".

The main responsibilities of the position include:
•    Generation of the training data for machine learning potentials
•    Study of the configuration space map, clustering of configurations
•    Contribution to the MLFF training software

Qualifications / Discipline:
•    BSc in Chemistry or Physics 

Skills:
•    Working skills with machine learning tools, such as TensorFlow, PyTorch, pyhton coding and bash scripting, etc.
•    Experience with solid-state softwares, such as VASP or Quantum Esspresso. 
•    Experience with molecular dynamics simulations with Lammps / Gromacs.

Experience:  
•    Working experience with high-performance computing clusters, such as NSCC or HPC @NUS.
•    Several years of research experience in the field of computational material science, computational chemistry, computational phy

Role Overview

As a University of Applied Learning, SIT works closely with industry in its research pursuits. Our research staff have the opportunity to develop industry-relevant applied research capabilities while contributing to impactful projects that address real-world operational needs.

We are seeking a Research Engineer to join an applied research project focused on the development of an embodied AI robotic system for urban infrastructure inspection and maintenance. The project involves the design, integration, and validation of robotic mechanisms, sensing systems, and automated workflows for outdoor infrastructure maintenance applications.The successful candidate will work closely with a multidisciplinary research team and industry partners to investigate, prototype, test, and implement practical robotic solutions that can operate in real-world environments and support more efficient, safe, and scalable infrastructure maintenance.

Key Responsibilities

• Design, develop, and integrate customised mechanical mechanisms for robotic systems, including robotic end-effectors, grippers, tool-changing interfaces, material handling systems, and task-specific automation modules.
• Develop 3D CAD models, fabrication drawings, Bills of Materials (BOMs), and technical documentation using SolidWorks.
• Perform mechanical design analysis and engineering calculations, including load estimation, actuator sizing, structural integrity, tolerance analysis, and vibration/shock mitigation.
• Ensure mechanical designs are compatible with robotic arms, mobile platforms, sensors, and mechatronic systems, considering payload, reachability, safety, manufacturability, and maintainability.
• Build, assemble, and commission mechanical prototypes and experimental robotic systems.
• Conduct laboratory and field testing, analyse results, troubleshoot issues, and implement design improvements through iterative development.
• Source and evaluate commercial components, and work with vendors, fabricators, and contractors to support fabrication and assembly.
• Support field deployments and technology demonstrations with industry partners.
• Prepare technical reports, design documentation, test reports, risk assessments, and project deliverables.
• To liaise and communicate with internal and external stakeholders to ensure project deliverables are met.
• Any other ad-hoc duties assigned by Supervisor.

Requirements

• Bachelor’s degree or higher in Mechanical Engineering, Mechatronics Engineering, Robotics Engineering, or a related discipline.
• Strong hands-on experience in mechanical design, prototyping, fabrication, and system integration.
• Proficiency in SolidWorks for 3D modelling, assembly design, and engineering documentation.
• Good understanding of mechanical design principles, materials, manufacturing processes, and engineering analysis.
• Experience working with robotic systems, sensors, actuators, or mechatronic systems is advantageous.
• Strong problem-solving skills, attention to detail, and ability to work independently and within multidisciplinary teams.
• Willingness to conduct laboratory and field testing when required.

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-%28Laboratory-Coordinator%29/33309-en_GB/

We regret that only shortlisted candidates will be notified.

Job Description

Location: Lung Diseases Research Laboratory in the Department of Physiology, National University of Singapore

Email interest with CV and list of at 2 referee letters to NUS Career Portal

Research Assistant (Laboratory Coordinator)

The Research Assistant (Laboratory Coordinator) will support the administrative and operational functions of the laboratory, ensuring efficient coordination of research activities and compliance with institutional policies. The role also includes providing experimental support to Research Fellows/Associates and students where required.

Key Responsibilities

• Coordinate project administration, including procurement, purchase orders, and invoice processing
• Maintain accurate laboratory records, documentation, and filing systems (electronic and hardcopy)
• Support day-to-day laboratory operations, logistics, and inventory tracking
• Provide technical and experimental support to Research Fellows/Associates and students, where applicable, hands-on experience in animal work is preferred
• Assist with basic laboratory procedures and ensure proper use of equipment and resources, including safety-related documentation and procedures
• Liaise with internal departments (e.g., finance, procurement, safety) and external vendors
• Ensure compliance with institutional guidelines and standard operating procedures

Qualifications

• Bachelor’s degree in Biological Sciences or a related discipline
• Proven experience in project coordination or administrative roles
• Strong organizational skills with high attention to detail
• Prior laboratory experience with animal handling is advantageous

Skills & Competencies

• Ability to work independently and manage multiple priorities
• Strong interpersonal and communication skills
• Ability to support experimental work in a collaborative research environment

Application Instructions

Interested applicants should submit a CV, a cover letter, and three reference letters.

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-%28Smart-Pavement%29/33311-en_GB/

We regret that only shortlisted candidates will be notified.

Job Description

The National University of Singapore (NUS) Department of Civil and Environmental Engineering invites applications for one (1) Research Fellow position in the area of smart pavements. The candidate is expected to work in research projects related to the topic funded by the Defence Science and Technology Agency of Singapore. The candidate will be working with Associate Professor Ong Ghim Ping Raymond from the Department of Civil and Environmental Engineering, College of Design and Engineering (CDE)(https://cde.nus.edu.sg/cee/staff/ong-ghim-ping-raymond/) in fundamental and translational research in the development of new asphalt pavement design guidelines.
 

The selected individual is required to:

•    Perform field experiments on installation and operations of smart pavements including sensor installation, data acquisition, camera system development, edge device management, backend communications, and software architecture integration as core focus.
•    Work on mechanistic empirical pavement modelling and evaluation for airport pavements.
•    Develop state of the art solutions for high performance pavement system and work closely with contractors and agencies on field construction implementation to ensure solution is commercially viable.
•    Manage research project progress, grant administration, and finance.
•    Work on other relevant tasks set out by the project PI.  

Job Requirements

•    Possess a PhD in civil engineering or a related area. 
•    Applicants with relevant experience in both field asphalt pavement design and modelling, smart road development and field implementation would be favourably considered. 
•    Strong written and spoken communications and has the ability to present research findings in publications and professional meetings (including with agencies and the industry). 
•    Values teamwork and has good team working skills. 
•    Open to fixed-term contract. 
 

Interested applicant may apply to the job link with the followings: 

•    Cover letter
•    Curriculum vitae and transcripts, including a list of publications (provide softcopies of relevant papers)
•    The school will request for referee letters (of which one must be from the PhD supervisor)
 
•    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-%28Hybrid-organic-inorganic-perovskites%29/33368-en_GB/

We regret that only shortlisted candidates will be notified.

Job Description

The team of Prof Loh Kian Ping invites applications for a Research Fellow position working in the synthesis and characterization of hybrid organic inorganic perovskites single crystal and thin film. Our research focuses on engineering chirality and functionality on hybrid superlattices.  

Candidates with the following experiences will be advantaged:

(1)    the solution phase synthesis of large sized 2D hybrid organic inorganic perovskites crystals
(2)    Design of chiral or multiferroic 2D hybrid organic inorganic perovskites
(3)    Adept with the use of piezoresponse force microscopy to study ferroelectric phases
(4)    Adept with optical spectroscopic methods to study excitonic processes
(5)    Ability to solve single crystal XRD 

The candidate should have a PhD degree and strong track record in Materials Chemistry or Physics, with publishing in related areas.

An attractive renumeration package will be offered for suitable candidate with a strong record in 2-D condensed matter physics and who has good publication record. 

COMPANY DESCRIPTION

Singapore Management University is a place where high-level professionalism blends together with a healthy informality. The 'family-like' atmosphere among the SMU community fosters a culture where employees work, plan, organise and play together - building a strong collegiality and morale within the university.

Our commitment to attract and retain talent is ongoing. We offer attractive benefits and welfare, competitive compensation packages, and generous professional development opportunities - all to meet the work-life needs of our staff. No wonder, then, that SMU continues to be given numerous awards and recognition for its human resource excellence.

RESPONSIBILITIES

The candidate will be responsible for conducting design and development of sensor networks and Internet-of-Things (IOT) systems for in-home sensing and machine learning models for analyzing digital biomarkers and human activity data for the purpose of cognitive health monitoring and wellbeing analysis. Successful candidate will join an active research team led by Prof TAN Ah Hwee from School of Computing and Information Systems, Singapore ManagementUniversity.

Candidate's core responsibilities are:

• Project administration, user management
• Design, deployment and maintenance of sensor networks and Internet of Things (IOT) system for in-home sensing of human behaviour and activities
• Integration of in-home sensors, home gateway, and backend cloud servers for data collection
• Development of software for digital biomarker feature extraction and data analytics
• Building of machine learning and predictive models based on digital biomarkers and spatial temporal data
• Documentation and preparation of technical reports
• Other duties as assigned

• Diploma or Bachelor's degree in Computer Science, Information Technology, Information Systems or closely related disciplines from an nstitution of higher learning
• Minimum 1-2 years of relevant research experience with sensors, Internet-of Things, data analytics, artificial intelligence, or related fields
• Good analytical, technical and problem solving skills
• Knowledge/Proficiency in hardware sensors, cloud computing, networking and programming languages, such as Python, Java and C/C++• Competency in application prototype design and development
• Good writing, communication and interpersonal skills

#LI-JN2

Events & Research Coordinator (3-Month Temp) #HMS

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-%28Hybrid-organic-inorganic-perovskites%29/33365-en_GB/

We regret that only shortlisted candidates will be notified.

Job Description

The team of Prof Loh Kian Ping invites applications for a Research Fellow position working in the synthesis and characterization of hybrid organic inorganic perovskites single crystal and thin film. Our research focuses on engineering chirality and functionality on hybrid superlattices.  

Candidates with the following experiences will be advantaged:

(1)    the solution phase synthesis of large sized 2D hybrid organic inorganic perovskites crystals
(2)    Design of chiral or multiferroic 2D hybrid organic inorganic perovskites
(3)    Adept with the use of piezoresponse force microscopy to study ferroelectric phases
(4)    Adept with optical spectroscopic methods to study excitonic processes
(5)    Ability to solve single crystal XRD 

The candidate should have a PhD degree and strong track record in Materials Chemistry or Physics, with publishing in related areas.

An attractive renumeration package will be offered for suitable candidate with a strong record in 2-D condensed matter physics and who has good publication record. 

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-%28Data-Engineering%29/33302-en_GB/

We regret that only shortlisted candidates will be notified.

Job Description

We are seeking a skilled and motivated Research Associate to join our environmental informatics team. In this role, the candidate will build and maintain the data infrastructure that underpins our environmental monitoring and early-warning systems. The work will involve diverse, high-volume data streams — including rainfall records, temperature sensors, radar imagery, and computer vision outputs — to deliver a unified, query table, and secure data platform that drives research, operational decision-making, and stakeholder dashboards. 

Key Responsibilities
1.  Environmental Data Platform
•    Design, build, and maintain a unified database to ingest and store diverse environmental data streams: rain gauge records, gridded temperature data, rainfall radar (e.g. OPERA, NEXRAD), satellite imagery, and computer vision model outputs.
•    Define and enforce common data schemas and ontologies across heterogeneous source formats (NetCDF, HDF5, GeoTIFF, CSV, JSON, REST/API feeds).
•    Implement scalable ingestion pipelines supporting real-time streaming and batch historical loads.
•    Ensure data traceability with robust metadata, provenance tracking, and versioning.

2.  Data Processing & Quality Assurance
•    Develop and maintain automated pipelines for data cleaning, outlier detection, and quality flagging.
•    Implement missing-data imputation methods appropriate to environmental time-series and spatial fields (e.g. interpolation, climatological fill, ML-based gap-filling).
•    Apply noise-removal algorithms (e.g. signal filtering, radar clutter suppression, spike detection) across sensor and remote-sensing data types.
•    Document processing logic and maintain reproducible workflow configurations. 

3.  Visualisation & Dashboards
•    Design and develop interactive dashboards for operational and research users, displaying spatial maps, time-series plots, and aggregated statistics.
•    Integrate visualisation tools (e.g. Grafana, Superset, Plotly Dash, or custom web front-ends) with the data backend.
•    Collaborate with domain scientists to translate monitoring requirements into effective visual analytics.
•    Ensure dashboards remain performant and responsive under live data load. 

4.  Data Security & Governance
•    Implement and maintain role-based access control (RBAC) for all data assets.
•    Enforce data encryption at rest and in transit; manage secrets and credentials securely.
•    Support compliance with relevant data governance policies and institutional data-sharing agreements.
•    Maintain audit trails and access logs; respond to security reviews and risk assessments.

5.  Infrastructure & Operations
•    Manage cloud or on-premise database services (e.g. PostgreSQL/PostGIS, TimescaleDB, InfluxDB, or equivalent); tune for time-series and geospatial query performance.
•    Maintain CI/CD pipelines for data pipeline code; apply version control best practices.
•    Monitor pipeline health, set up alerting for failures, and respond to incidents.
•    Contribute to infrastructure-as-code practices (Docker, Kubernetes, Terraform or equivalent)

Job Requirements

•    Possess at least a Master’s degree in computer science, Data Engineering, Environmental Informatics, or a closely related field.
•    3–6 years of professional experience in data engineering, with demonstrable work on time-series or geospatial data.
•    Proficiency in Python (pandas, NumPy, xarray, or similar) and SQL; experience with at least one workflow orchestration tool (Airflow, Prefect, Luigi, etc.).
•    Hands-on experience with geospatial or scientific data formats: NetCDF, HDF5, GeoTIFF, GeoJSON, or similar.
•    Working knowledge of relational and time-series databases, with practical experience in data modelling.
•    Familiarity with cloud platforms (AWS, GCP, or Azure) and containerisation (Docker).
•    Solid understanding of data security principles: encryption, RBAC, secrets management. 
•    Open to fixed-term contract. 

Experience
•    Experience with environmental, meteorological, or hydrological datasets (radar QPE, NWP outputs, IoT sensor networks).
•    Familiarity with PostGIS or other spatially enabled database extensions.
•    Exposure to machine learning pipelines or MLOps practices for model output ingestion.
•    Experience building dashboards with Grafana, Apache Superset, Plotly Dash, or equivalent.
•    Contributions to open-source scientific data tooling (e.g. xarray, GDAL ecosystem).

Core Competencies
•    Preferably knowledge with Python, SQL, Bash
•    Time-series & geospatial DBs
•    Data pipeline orchestration
•    Cloud & containerisation
•    Dashboard & BI tools
•    Data security & RBAC

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-%28Pharmacy-and-Pharmaceutical-Sciences%29/33367-en_GB/

We regret that only shortlisted candidates will be notified.

Job Description

The successful candidate will work with Dr Boxiang Liu as a Research Assistant, supporting the research administration and laboratory operations of a computational and experimental genomics lab.

The main responsibilities of the position include:
• Developing a strong familiarity with the lab’s overall research direction, which underpins all other responsibilities
• Coordinating and scheduling of research meetings with the relevant collaborators and lab members
• Assisting with grant proposal writing, grant management, and grant reporting
• Training new staff on safety and assisting with the preparation of hiring and onboarding documents, SOP and safety documents
• Organising research meetings outside the regular lab setting
• Proofreading manuscripts
• Keeping abreast of the latest developments in the field and contributing to brainstorming on research projects and grant proposals
• Purchasing reagents and managing laboratory inventory
• Conduct molecular biology work as required, including cloning, cell culture, and gel electrophoresis

Qualifications / Discipline: 
• BS or MS degree in a relevant discipline (including life sciences, biology, pharmacy, bioinformatics, business administration, or a related field) 

Skills: 
• Molecular biology techniques, cloning, cell culture, gel electrophoresis
• Research Literacy and interest in genomics and related life sciences
• Detail-oriented and highly organised
• Strong note-taking and document management skills
• Excellent written and spoken English
• Proficient with common office software and research-related tools
• High standards of integrity in handling confidential information
• Self-motivated to learn and improve the operational standards of the lab

Experience: 
• Prior experience in research administration, grant management, or laboratory operations is preferred
• Wet-lab experience (in molecular biology, cloning, cell culture, gel electrophoresis) is an advantage 

Primary Science Tutor 

Location: 1187 Upper Serangoon Rd, The Midtown, Singapore 533971
Working days & Time: 4 weekdays (Mon-Thu 12PM-9PM) + 1 weekend (Sun 9AM-6PM)
Salary: $3000 - $4500 (depends to experiences)

Key Responsibilities

• Teach small group classes (6–12 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

Requirements: 

• Have past experience in teaching Science
• Understanding in MOE primary / secondary school syllabus for your Science.
• Degree Holder (Science Degree Chemistry/Life Science/ Engineering / Teaching)

WhatsApp me your resume for quicker processing! ☺️
WhatsApp: https://wa.me/6596112291 (Kyra)
Voon Yih Boon Reg No: R22106724 | The Supreme HR Advisory Pte Ltd EA No: 14C7279

Primary Science Tutor 

Location: 1187 Upper Serangoon Rd, The Midtown, Singapore 533971
Working days & Time: 4 weekdays (Mon-Thu 12PM-9PM) + 1 weekend (Sun 9AM-6PM)
Salary: $3000 - $4500 (depends to experiences)

Key Responsibilities

• Teach small group classes (6–12 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

Requirements: 

• Have past experience in teaching Science
• Understanding in MOE primary / secondary school syllabus for your Science.
• Degree Holder (Science Degree Chemistry/Life Science/ Engineering / Teaching)

WhatsApp me your resume for quicker processing! ☺️
WhatsApp: https://wa.me/6596112291 (Kyra)
Voon Yih Boon Reg No: R22106724 | The Supreme HR Advisory Pte Ltd EA No: 14C7279

Primary Science Tutor 

Location: 1187 Upper Serangoon Rd, The Midtown, Singapore 533971
Working days & Time: 4 weekdays (Mon-Thu 12PM-9PM) + 1 weekend (Sun 9AM-6PM)
Salary: $3000 - $4500 (depends to experiences)

Key Responsibilities

• Teach small group classes (6–12 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

Requirements: 

• Have past experience in teaching Science
• Understanding in MOE primary / secondary school syllabus for your Science.
• Degree Holder (Science Degree Chemistry/Life Science/ Engineering / Teaching)

WhatsApp me your resume for quicker processing! ☺️
WhatsApp: https://wa.me/6596112291 (Kyra)
Voon Yih Boon Reg No: R22106724 | The Supreme HR Advisory Pte Ltd EA No: 14C7279

• Well Established Company

• Basic $5000 - $5500 + AWS + Variable Bonus

• Excellent Welfare and Benefits + Career progression

• Working location: Tuas (Company Transport Provided)

• Working day: Monday to Friday

• Working hours: 8am to 5pm

  
  

Job Responsibilities:

• Develop, evaluate, and optimize treatment and handling processes for existing, new, and unknown waste streams, ensuring technical feasibility and cost-effectiveness.

• Design and implement resource recovery processes from waste streams to enhance sustainability and value creation.

• Work closely with Sales, Marketing, and Operations teams to understand waste sources, identify treatment and recovery opportunities, support commercialization, and execute pilot trials.

• Identify, assess, and implement new technologies and processes, including collaboration with external partners (universities, research institutes, and technology providers).

• Establish and continuously improve laboratory capabilities, including process development and analytical methods to support R&D activities.

• Drive continuous improvement of existing operations through process optimization and introduction of alternative treatment methods.

• Ensure compliance with internal procedures, documentation standards, and all safety, health, and environmental requirements; maintain proper laboratory housekeeping.

• Support evaluation and development of handling procedures for high-risk and high-value waste streams.

• Contribute to new business development, including identifying opportunities, supporting new projects, and participating in facility planning and operations.

• Stay updated on industry trends and emerging technologies and proactively introduce relevant innovations into the company.

  
  

Job Requirements:

• Ph.D in Chemistry or Chemical Engineering with more than 5 years of experience in the area of specialty chemical manufacturing/applications, oil & gas or water treatment industry

• No colour blindness

  
  

Candidates are encouraged to apply this position via Apply Now button with the following information in the resume

• Work experiences and job responsibilities

• Current and Expected salary

• Reason for leaving

• Date of availability

• Education background

  
  

We regret that only shortlisted candidates will be contacted.

LIONG ZHAO GUAN (R22107632)

EA Recruitment Pte Ltd

EA License No: 21C0492

The National Institute of Education invites suitable applications for the position of Research Assistant on a 16-month contract at the Physical Education and Sport Science department.

Project Introduction: Problem gambling rates in Singapore has remained stable amidst a rise in online betting, highlighting the need for more effective public health messaging. One prevalent form of betting in Singapore is that of sport betting, which has been shown to be linked to more addiction related tendencies as compared to other forms of the activity. The aim of this research proposal is to investigate differential effectiveness of marketing messages on the public.

Requirements:

Essential

• Bachelor's Degree in Psychology, Sport Science/Management, Marketing/Consumer Behaviour, or a related social science discipline. Candidates with a Master's Degree may be considered for a Research Associate position.

• Experience in quantitative research methods, specifically in setting up and administering multi-factor, between-subjects experimental designs and surveys.

• Proficiency in statistical analysis software (such as SPSS, R, or equivalent) to analyse experimental and survey data.

• Strong literature review and academic writing skills, with the ability to contribute to systematic review papers and research reports.

• Excellent written and oral communication skills to coordinate with local participants and international institutional collaborators.

• Ability to work independently and manage data collection milestones efficiently within the designated timelines.

Preferred

• Experience with eye-tracking technology, including calibrating eye-trackers and processing physiological visual/gaze data.
  

Responsibilities:

• Conduct comprehensive literature reviews and actively assist in the preparation and submission of a systematic review paper.

• Coordinate and execute laboratory data collection, involving the usage of an eye tracking device.

• Manage and maintain ethical safeguarding protocols, ensuring proper informed consent, participant risk screening, and thorough post-task debriefings.

• Perform statistical analysis of results of existing datasets

• Contribute to writing up findings, academic research reports, and preparing materials for potential research publications or conferences.

• Handle administrative duties related to the daily operations of projects under the supervision of the Principal Investigator
  

Note: This is a primarily in-person role based on-site at the National Institute of Education (NIE) campus in Singapore to facilitate laboratory-based experiments and day to day operations.

Application

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

Workday Job Requisition ID: R00024860

(https://ntu.wd3.myworkdayjobs.com/Careers/job/NTU-Main-Campus-Singapore/Research-Associate--Physical-Education-and-Sport-Science---NIE-_R00024860)

Closing Date

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

MindSpace incorporates some of the best MindChamps enrichment programmes into a complete after-school curriculum for our students, encompassing Maths, English, Science, and Chinese enrichment classes for lower and upper primary school levels.

https://mindspace.mindchamps.org/mindspace-midview-city-bishan/

Join the Best at MindChamps Preschool @ Bishan and MindSpace @ Bishan (Midview City)!

At MindChamps Preschool @ Bishan and MindSpace @ Bishan, we are committed to nurturing young minds with passion, purpose, and excellence.

Our centres have been recognized for their outstanding achievements — MindSpace @ Bishan (Midview City) was awarded Top Performing MindSpace Centre for 2023, and MindChamps Preschool @ Bishan proudly holds the title of Top Performing MindChamps Preschool Centre for 2024 and 2025.

We are looking for driven and passionate individuals who are dedicated to making a positive impact in the lives of children. If you are enthusiastic about early childhood education or enrichment, and want to be part of a high-performing, supportive, and inspiring team — we’d love to hear from you!

Job Responsibilities:

• Implement the program for the class in accordance with the policies, guidelines, framework and philosophy of the centre.
• Guide primary school children (primary 1 to 5) to ensure completion of daily homework
• Keep accurate records of children’s progress and address each child’s educational and developmental needs on an individual basis to the best of your ability.
• Responsible for the preparation and upkeep of teaching resources, arrangement, appearance and learning environment of the classroom.
• Maintain and build relationships with children and parents.
• Conduct MindChamps unique enrichment programmes.
• Being an inspiring role model with a creative spirit and a champion (positive) mindset.
• Ensure safety and timely transfer of students from school to student centre
• Ensure safety of children within the premises
• Any other ad-hoc duties as delegated by Centre Director

Job Requirements:

• Diploma or higher in any discipline with minimum of 2 years of teaching experience with primary school students.
• Able to teach primary school subjects
• Possess good communication and classroom management skills.
• Enthusiastic & energetic and has a positive mindset to learn and grow together with the company.
• Creative and loving energy with a positive disposition
• Excellent communication and classroom management skills

Additional Information:

• School's location: Bishan/Ang Mo Kio, 18 Sin Ming Lane Midview City #01-14 Singapore 574960
• Email your resume to staceyhong@mindchamps.org
• Attractive remuneration and staff welfare benefits
• Ample opportunities for Career Progression
• Friendly and Conducive working environment
• Comprehensive HQ training for all teachers!
• Strong Curriculum team and mentorship programs available!
• Company Sponsorships
• Permanent positions

Primary Science Tutor 

Location: 1187 Upper Serangoon Rd, The Midtown, Singapore 533971

Working days & Time: 4 weekdays (Mon-Thu 12PM-9PM) + 1 weekend (Sun 9AM-6PM)
Salary: $3000 - $4500 (depends to experiences)

Key Responsibilities

• Teach small group classes (6–12 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

Requirements: 

• Have past experience in teaching Science
• Understanding in MOE primary / secondary school syllabus for your Science.
• Degree Holder (Science Degree Chemistry/Life Science/ Engineering / Teaching)

Cheong Yeat Long | R25145358

The Supreme HR Advisory Pte Ltd | EA 14C7279

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-%28Asphalt-Pavement-Materials%29/33310-en_GB/

We regret that only shortlisted candidates will be notified.

Job Description

The National University of Singapore (NUS) Department of Civil and Environmental Engineering invites application for one (1) Research Fellow position in the area of resilient and circular asphalt pavement materials. The candidate is expected to work in research projects related to the topic funded by the Defence Science and Technology Agency of Singapore. The candidate will be working with Associate Professor Ong Ghim Ping Raymond from the Department of Civil and Environmental Engineering, College of Design and Engineering (CDE)(https://cde.nus.edu.sg/cee/staff/ong-ghim-ping-raymond/) in fundamental and translational research in the development of new asphalt pavement design guidelines.
 

The selected individual is required to:

•    Perform laboratory and field experiments on circular resilient airport asphalt pavements as core focus.
•    Work on mechanistic empirical pavement design and modelling for airports.
•    Develop state of the art solutions for high performance pavement system and work closely with contractors and agencies on field construction implementation to ensure solution is commercially viable.
•    Manage research project progress, grant administration, and finance.
•    Work on other relevant tasks set out by the project PI. 

Job Requirements

•    Possess a PhD in Civil Engineering or a related area. 
•    Applicants with relevant experience in both experimental and field asphalt pavement design, standard development and construction would be favourably considered. 
•    Strong written and spoken communication and has the ability to present research findings in publications and professional meetings (including with agencies and the industry).
•    Values teamwork and has good team working skills. 
•    Open to fixed-term contract. 

Interested applicant may apply to the job link with the followings: 
•    Cover letter
•    Curriculum vitae and transcripts, including a list of publications (provide softcopies of relevant papers)
•    The school will request for for referee letters (of which one must be from the PhD supervisor)
 
Only shortlisted candidates will be notified.

Job Details

Location: Kent Ridge

Working Hours: Mon-Fri, Office Hour

Work Type: 3-Month Contract

Salary: Up to $ 4,000 per month

Our client is seeking a dedicated Temporary Research Officer to support multidisciplinary projects in the area of child health and early-life development. The research focuses on the epidemiology of diseases in children and the impact of the exposome during the early developmental phases of life on early life outcomes. Majority of the work is based in the birth cohorts Growing Up in Singapore Towards healthy Outcomes and Singapore Preconception Study of Long-Term Maternal and Child Outcomes. The selected candidate will be involved in microbiome and statistical data analysis.

What you will be working on?

The ideal candidate will be involved in microbiome research, statistical analysis, and contributing to the production of scientific outputs.

• Perform statistical data analysis, including microbiome datasets
• Conduct literature reviews to support ongoing research
• Assist in the development of scientific papers and dissemination of research findings
• Provide administrative and operational support for research activities

What are we looking for?

• Singaporean only
• Bachelor’s Degree in Biomedical Science or relevant discipline
• Knowledge of microbiome and statistical analysis (e.g. R and SPSS) is advantageous
• Prior research experience is advantageous
• Highly motivated and able to work independently

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 it is 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 (ScienTec Personnel) |11C5781

Research Assistant (1-Year Contract)

Job Overview

A government agency in the social service sector is seeking a Research Assistant on a 1-year contract to support research, evaluation and data analytics initiatives. The successful candidate will play a key role in conducting research studies, managing survey projects and generating insights to support policy development, programme planning and service improvement.

This role is suitable for individuals with strong analytical capabilities, an interest in social research and experience working with quantitative datasets. The candidate will work closely with internal stakeholders, research vendors and external partners to support evidence-based decision-making.

Key Responsibilities

Research & Survey Management

• Conduct literature reviews and synthesize research findings to support study design and project objectives.
• Assist in the development of research methodologies, survey instruments and data collection frameworks.
• Coordinate survey fieldwork activities and liaise with vendors to ensure timely project delivery.
• Support research studies and programme evaluations within the social service sector.

Data Analysis & Reporting

• Clean, process and manage survey and administrative datasets.
• Conduct statistical analyses using tools such as SPSS, STATA, R or Python.
• Prepare data outputs including tables, charts and dashboards to support reporting requirements.
• Draft analytical summaries, research reports and presentation materials for stakeholders.

Project Coordination & Stakeholder Management

• Track project timelines, milestones and deliverables to ensure successful project completion.
• Coordinate with internal stakeholders, external research partners and service providers.
• Support procurement, project documentation and administrative requirements where necessary.
• Assist in presenting findings and recommendations to project teams and stakeholders.

Requirements

• Good Degree in Social Sciences, Statistics, Economics, Public Policy, Psychology, Sociology, Data Analytics or a related discipline.
• Familiarity with literature review, research synthesis and survey design methodologies.
• Proficient in data analysis software such as SPSS, STATA, R and/or Python.
• Strong analytical, project management and communication skills.
• Ability to manage multiple projects and timelines effectively.
• Meticulous with strong attention to detail and data accuracy.
• Experience working with longitudinal datasets or large-scale survey projects will be an advantage.
• Prior experience in research, policy, programme evaluation or the social service sector is preferred.

Contract Details

• Employment Type: Contract
• Contract Duration: 1 Year
• Sector: Government / Social Service
• Location: Singapore
• Start Date: Immediate or upon notice completion

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

Justin Lee
Registration No: R22107715
APBA TG Human Resource Pte Ltd
EA License: 14C7275

Position : Primary Science Tutor 

Location: 1187 Upper Serangoon Rd, The Midtown, Singapore 533971

Working days & Time: 4 weekdays (Mon-Thu 12PM-9PM) + 1 weekend (Sun 9AM-6PM)
Salary: $3000 - $4500 (depends to experiences)

Key Responsibilities

• Teach small group classes (6–12 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

Requirements: 

• Have past experience in teaching Science
• Understanding in MOE primary / secondary school syllabus for your Science.
• Degree Holder (Science Degree Chemistry/Life Science/ Engineering / Teaching)

WhatsApp me your resume for quicker processing! ☺️

WhatsApp: https://wa.me/6584067823 (Shiro)

SHEE YOKE RU|R26161758 | The Supreme Hr Advisory Pte Ltd EA No: 14C7279

Basic Salary: $3000-$3500
Working Hours: Mon-Fri | 10am-7pm
Working Location: City Square Mall

Responsibilities: 

• Implement the program for the class in accordance with the policies, guidelines, framework and philosophy of the centre.
• Guide primary school children (primary 1 to 6) to ensure completion of daily homework
• Keep accurate records of children’s progress and address each child’s educational and developmental needs on an individual basis to the best of your ability.
• Responsible for the preparation and upkeep of teaching resources, arrangement, appearance and learning environment of the classroom.
• Maintain and build relationships with children and parents.
• Conduct franchise unique enrichment programmes.
• Being an inspiring role model with a creative spirit and a champion (positive) mindset.
• Ensure safety and timely transfer of students from school to student centre
• Ensure safety of children within the premises
• Any other ad-hoc duties as delegated by Centre Director

Job Requirements

• Diploma or higher in Math or Science.
• Minimum of 2 years of teaching experience with primary school students.
• Able to teach primary school subjects (Preferably Both Math & Science)

The Supreme HR Advisory Pte. Ltd || 14C7279

Chua Jie Ying (Cai Jie Ying), Evelynn || EA Personnel License R24120580

About the Role

Are you passionate about applying psychological research to drive meaningful social impact? We are seeking an Associate Psychologist to support programme development, implementation science initiatives, and evidence-informed practice improvements within the social service sector.

This role is ideal for Psychology graduates with strong analytical skills who are interested in research, data analysis, and programme evaluation while contributing to initiatives that strengthen professional practices and service delivery.

Key Responsibilities

• Conduct literature reviews and evidence syntheses to support programme development and evaluation initiatives.

• Collect, analyse, and report data to inform programme improvements and implementation efforts.

• Set up and manage datasets of varying complexity and develop dashboards for research and operational insights.

• Support the design and execution of implementation and evaluation projects, including developing surveys and interview guides.

• Collaborate with internal and external stakeholders to identify innovative practices and technological solutions to enhance professional practice and work processes.

• Prepare reports, presentation materials, and knowledge-sharing resources for internal and external stakeholders.

Requirements

• Degree in Psychology or a related Social Science discipline.

• Good understanding of data management practices and basic statistical analyses.

• Strong interpersonal, written, and verbal communication skills.

• Proficiency in Microsoft Office applications, particularly Word and Excel.

• Ability to work independently and manage multiple priorities within tight timelines.

Preferred Qualifications

• Degree with at least Second-Class Honours or equivalent.

• Familiarity with implementation science concepts.

• Experience with data visualisation tools such as Power BI or Tableau.

• Knowledge of data analysis software such as SPSS, R, or STATA.

• Familiarity with AI-related tools.

• Experience in digital communications or design tools such as Canva, Adobe Photoshop, Piktochart, or video editing software.

• Prior research experience through academic projects, internships, or employment.

Why Join Us?

• Gain valuable experience in programme development and implementation science.

• Work alongside experienced psychology professionals in a collaborative environment.

• Develop expertise in research, data analytics, and evidence-informed practice.

• Contribute to initiatives that create positive social impact in Singapore.