Fiaba Language Centre (By EduKiz Pte Ltd) focus on building the foundation of Chinese Language for kids age 3 to 16 through our innovation & unique enrichment programs.

We welcome you to join us if you are :

· Energetic in engaging with children (a Must!)

· Passionate in teaching and guiding kids to do arts

· Creative and talented in drawing art & handcraft.

Job Scope

· Conduct lessons according to our curriculum with cheers and enthusiasm, in ways that motivate active learning, excite curiosity and enrich children knowledge and understanding in Chinese language with arts.

· Creative and active planning of learning materials and activities.

· Perform routine care of children to learn in a safe and secure learning environment.

Requirements

· Diploma or higher qualification.

· Process proficiency in Chinese Language speaking and writing (must be able to teach in Mandarin)

· Process skill on oil painting, Chinese Calligraphy , Chinese painting or art handicraft etc.

· Able to communicate in English with parents if required.

· Able to build rapport with students and their parents.

· A team player with a strong sense of responsibility and integrity.

· Computer literate (MS office – need able to type in Chinese to prepare teaching material)

Pls provide detail resume including

- Photo

- Age

- Nationality

- Educational Level

- Working Experience

- Email & Contact Number

- Art works portfolio

Working days & hours: 5.5 days| Mon – Sat 9pm – 6pm, 9am - 1pm

Location: Changi Airfreight Centre

Salary: Basic $2500 - $2800 + OT (depend)

Job Description

• Schedule and dispatch trucks for linehaul operations.

• Coordinate with drivers, vendors, and warehouse teams to ensure timely deliveries.

• Monitor vehicle movement using GPS/fleet systems and update job statuses.

• Optimize routes and delivery schedules to improve efficiency.

• Maintain accurate records of transport activities and driver logs.

• Assist with driver rostering and shift planning.

• Verify vendor trip invoices against internal records and report discrepancies

• Prepare daily and weekly transport performance reports.

Requirements

• GCE ‘O’/’N’ Level, Diploma in logistics or related field is a plus.
• Possess a valid Class 3 driving licence.
• Minimum 2 years of experience in transport or logistics administration.
• Familiar with Singapore road networks and LTA regulations.
• Proficient in MS Excel and Fleet management systems.

Tee Xin Li Reg No: R24121619
The Supreme Hr Advisory Pte Ltd EA No: 14C7279

• Working Days: 5days

• Working Location: Book Keng, Ubi,

• Salary: Basic $2200 - $2800+ Allowances + uncapped commission ($2000 - $3500+-)

Responsibilities & Duties

• Daily store operation & housekeeping

• Ensuring daily stock inventory

• Maintain store appearance and visual merchandising standards

• Attending client inquiries and feedback

• Deliver exceptional customer service and support

• Provide product advice and recommendations

• Handle point-of-sale transactions

• Assisting client repair request and follow up on the process

• Daily opening and closing (follow company SOP)

• Cash counting

• Opening closing safe box

• Complete task assigned by manager

• Doing basic paperwork, filing & excel sales report

• Daily settlement

Requirements:

• With any Retail Sales experience 

• Training Provided

• Must be willing to work on retail hours, weekend and public holiday

Tee Xin Li Reg No: R24121619
The Supreme Hr Advisory Pte Ltd EA No: 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-Assistant-%28Microbiology-&-Immunology%29/20750-en_GB/?st=BBE292BB043DB988997818261DB218F6EFE0D99F

We regret that only shortlisted candidates will be notified.

Job Description

The National University of Singapore invites applications for Research Assistant for “Singapore Integrated Network for Genomic and Epidemiological Tick-borne Pathogen Investigation and Connectivity” in the Department of Microbiology & Immunology, Yong Loo Lin School of Medicine. The Department of Microbiology and Immunology (https://medicine.nus.edu.sg/mbio/) at NUS is dedicated to advancing research, teaching, and training in infectious diseases, immunity, and host-pathogen interactions. It is well known for strengths in immunology, virology, bacteriology, parasitology, and molecular biotechnology, supported by strong core research facilities and graduate training opportunities. Appointments will be made on a 1-year contract basis in the first instance, with the possibility of extension.

Purpose of the post

The Research Assistant (RA) will work closely with the Principal Investigator (PI) and study team members to support the successful completion of a tick and tick-borne diseases biosurveillance project in Singapore. The RA’s principal role will be to support field sampling and surveillance activities, manage and process study data for analysis and reporting, and contribute to accurate record-keeping and documentation to ensure project milestones are met on time.

Main duties and responsibilities

1. The Research Assistant will liaise with relevant personnel to facilitate the smooth running of fieldwork and related data workflows and will be accountable to the Principal Investigator (PI). The RA will be able to:
2. Provide administrative support to the project, such as organising regular meetings, maintaining communication with research team members and collaborators, and supporting scheduling and tracking of project tasks.
3. Support the day-to-day coordination of project activities, including planning and logistics for biosurveillance fieldwork across multiple sites in Singapore.
4. Provide administrative support to the project, such as organising regular meetings, maintaining communication with research team members and collaborators, and supporting scheduling and tracking of project tasks.
5. Assist with fieldwork operations at study sites, including supporting systematic collection activities and maintaining clear, consistent field records in line with project protocols.
6. Manage, clean, and process field and project data for analysis and reporting, maintaining well-organised datasets and contributing to the upkeep of project databases.
7. Support basic data analysis, visualisation, and reporting using relevant tools (e.g., MS Office, R Studio; ArcGIS where spatial outputs are needed), and assist with preparing progress updates and final reports.
8. Maintain high standards of professional conduct, data integrity, and record-keeping in accordance with project policies and procedures.
9. Assist with any other duties of a similar nature as delegated by the PI.

Qualifications

The applicant should:

1. Demonstrate competence in GIS-based mapping and spatial analysis (e.g., using ArcGIS), with the ability to support vector and tick-borne disease biosurveillance mapping and the integration of environmental and climate-related spatial data (e.g., satellite-derived indices, land cover, and other relevant layers) for analysis and reporting.
2. Have experience with field-based sampling and surveys, including working across varied habitats and maintaining accurate field notes, metadata, and sample documentation in accordance with project protocols.
3. Have a background in species identification and specimen handling, including experience with morphological documentation and/or contributing to species or ecological databases, with strong attention to detail in recording and data quality.
4. Have familiarity with molecular biology laboratory workflows relevant to biosurveillance (e.g., DNA extraction and PCR), and be able to follow laboratory protocols, maintain clear lab records, and support downstream identification workflows as required.
5. Be comfortable managing and organising datasets for analysis and reporting, and be proficient with standard productivity and data tools (e.g., MS Office), with added advantage of experience in analytical software (e.g., R).
6. Be able to work independently and collaboratively, with strong organisational and communication skills, and a professional approach to safety, confidentiality, and research integrity.

Remuneration will be commensurate with the candidate’s qualifications and experience. Informal enquiries are welcome and should be made to Dr Benoit Malleret at benoit_malleret@nus.edu.sg.

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

We regret that only shortlisted candidates will be notified.

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-%28Relative-smooth-optimization-theory%29/33396-en_GB/

We regret that only shortlisted candidates will be notified.

Job Description

In recent decades, we have witnessed significant progresses in the convergence and complexity theory of the first-order optimization methods, with gradient global Lipschitz continuity (GGLC) assumption playing a central role, in many classical results. However, a large class of important problems arising in modern optimization and machine learning do not satisfy this assumption. As a result, there remains a substantial gap between the theory and practical behavior of many widely used algorithms.

This project, led by Dr. Zhang, aims to strengthen the theoretical foundation of relative smooth optimization, an emerging framework developed to go beyond the classical GGLC setting. In particular, the project will study first-order methods under relative smoothness, with a focus on nonconvex problems, more appropriate optimality measures, and new non-Euclidean Lipschitz tools that better capture the underlying problem geometry. The goal is to establish sharper convergence and complexity results, clarify several widely adopted but potentially misleading arguments in the current literature, and develop a more reliable and powerful new analysis framework for the relative smooth problem class.

Job Requirements

Interested applicants are required to possess a BSc. in 2026. He/she should have a good understanding in

1.    convergence and complexity analysis for (nonconvex) optimization algorithms  
2.    stochastic process and stochastic approximation methods

In particular, as this is a research assistant position for only 1 year. The applicant should be experienced in MATLAB and Python coding. In particular, he/she should have the ability to adapt base codes of PyTorch to implement new algorithms instead of calling built-in functions.

As we plan to apply our methodologies to the training and tuning of language models, it will be an advantage if the applicant has related experience. 

Cognita Schools are committed to safeguarding and promoting the welfare of children and young people and expects all staff, volunteers and other third parties to share this commitment. Safer recruitment practice and pre-employment background checks will be undertaken before any appointment is confirmed.

An exciting opportunity has opened for a Early Years Teacher Assistant (Short-term Cover) at the Australian International School! If you are passionate about making a positive impact and are driven by growth and development, this role is perfect for you!

Position Requirements:
● Excellent communication skills at all levels
● Patience in dealing with students and parents
● Sound organisational and time management skills
● Nurturing manner and ability to show compassion and care with small children
● Minimal IT skills
● Short term cover from 03 August to 10 December 2026

Qualifications:
● A minimum Diploma in Early Childhood or similar
● A minimum of 2 years experience in working with small children (aged 2-5) in a school or day care environment
● International experience highly regarded
● Excellent written and spoken English skills
● Further qualifications in Early Childhood would be an advantage.

How to Apply

We believe having a diverse workforce makes us better, smarter and happier and so welcome applicants from all backgrounds, genders, and races. We have an unwavering commitment to being fair and equitable in our recruitment process.

Applicants are required to submit their application through our Applicant Tracking System.

Kindly copy-paste this link into a browser: https://cognitapeople.csod.com/ux/ats/careersite/1/home/requisition/2822?c=cognitapeople&sq=req2822&source=MyCareerFuture to submit your application.

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-%28Physics%29/33339-en_GB/

We regret that only shortlisted candidates will be notified.

Job Description

The successful candidate will work with Associate Professor Utkur Mirsaidov on exciting research nanoscience projects using cutting-edge in-situ high-resolution transmission electron microscopic techniques (TEM).

Main responsibilities:

• Responsible for micro- and nanofabrication, process improvements, and developing designs for new devices.
• Since the candidate will be working in an international and multicultural environment, fluency in English and good people skills are essential.
• We are a group of dynamic and creative researchers who love science, looking for like-minded candidates who are willing to head on challenges and go extra miles.

The successful candidate is also privileged to be trained on advanced microscopic techniques that bring you to the next level in the research world.

Training provided:

• Transmission electron microscope (TEM)
• Scanning electron microscope-focus ion beam (SEM-FIB)
• 2D material transfer and fabrication

Qualifications

Bachelor Degree or higher in one of the following disciplines: Physics, Engineering, Mathematics.

Skills:
•    Main: Solid programming skills with experience in Python/Matlab/
•    Bonus: Imaging process, visualization, scientific image analysis experience, cleanroom (microfabrication) experience.
•    Possess great interpersonal and communication skills, hard-working, and not afraid of challenges

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-%28HCI%2C-Human-AI-Collaboration%29/33423-en_GB/

We regret that only shortlisted candidates will be notified.

Job Description

Augmented Human Lab, at the Smart Systems Institute, National University of Singapore is seeking a highly motivated Research Assistant to work on the co-design and development of human–robot collaboration interfaces for high-risk operational scenarios such as chemical spill response and urban search-and-rescue.

The Research Assistant will work on designing, prototyping, and evaluating interactive systems that integrate explainable on-device AI and small language models (SLMs) to support human operators in making faster, safer, and more confident decisions. You will collaborate with a multidisciplinary team of researchers, especially research fellows and industry partners.

This role is ideal for candidates interested in applied HCI research, rapid prototyping, user-centered design, and translational AI systems progressing from early-stage concepts toward system-level demonstrations

Major responsibilities:

• Support requirements gathering with domain experts and industry collaborators, including field observations, interviews, and task analysis.
• Assist in the design of interfaces that promote shared mental models, transparency, and explainability in human–robot collaboration.
• Develop UI prototypes and interaction concepts through iterative user-centered design cycles with end-users.
• Run benchmarking experiments and user studies with human operators, including experimental setup, data collection, and post-trial analysis.
• Contribute to dissemination activities, including conference papers, posters, demos, and documentation.
• Participate actively in lab meetings, project reviews, and collaborative workshops with academic and industrial partners.

Experience and Skills

• Bachelor’s or Master’s degree from a reputable university in Computer Science, Engineering, HCI, or a related field.
• Strong programming experience in at least one of: Python, C/C++, Java, Swift.
• Familiarity with UI prototyping frameworks or mobile/interactive systems development.
• Experience working with experimental systems, data collection pipelines, and basic statistical analysis.
• Ability to work independently while collaborating effectively within a multidisciplinary team.
• Excellent written and verbal communication skills.

• Following skills will be an added advantage Experience with human-centered design, usability testing, or interaction design for complex systems. Exposure to machine learning pipelines, deployment on edge devices, or embedded platforms. Familiarity with development environments and platforms such as VS Code, PyCharm, Xcode, Android Studio, or ADB tools. Experience with hardware prototyping platforms such as Arduino, Raspberry Pi, ESP32, or similar microcontrollers. Knowledge of virtualization or containerization tools (e.g., Docker, VirtualBox, VMware).Experience with cloud or backend services such as AWS, Firebase, or similar platforms. Prior involvement in research projects progressing toward real-world deployment or technology translation.

Why join us

NUS is a world-class university that provides an outstanding and supportive research environment. Its School of Computing is highly ranked within the top 10 in the world. The Augmented Human Lab is an excellent environment with a diverse team (www.ahlab.org/people) which will accelerate your research career.

The initial term of appointment will be 1-year and renewable based on performance. The selected candidate will be offered competitive salaries and benefits.

How to Apply: Email CV and a short statement of interest to the NUS Career Portal.

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-School-of-Computing/33375-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 largescale experimental systems, developing theories and policies for effective management of information systems in organizations, 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.

Our research will focus on the design and implementation of next-generation AI accelerators, including the development of new architecture designs (dataflow designs), reuse patterns, caching and the development of the infrastructure of the system needed to support the acceleration of AI platforms.

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

• Artificial Intelligence and Machine Learning
• Hardware Design, Circuits and Systems
• Algorithms
• Programming Languages & Software Engineering

Only shortlisted candidates will be notified.

Job Requirements

• A Bachelor’s degree with Honours in a relevant area; and
• Experience in research

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-School-of-Computing/33376-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 largescale experimental systems, developing theories and policies for effective management of information systems in organizations, 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.

Our research will focus on the design and implementation of next-generation AI accelerators, including the development of new architecture designs (dataflow designs), reuse patterns, caching and the development of the infrastructure of the system needed to support the acceleration of AI platforms.

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

• Artificial Intelligence and Machine Learning
• Hardware Design, Circuits and Systems
• Algorithms
• Programming Languages & Software Engineering

Only shortlisted candidates will be notified.

Job Requirements

• A Bachelor’s degree with Honours in a relevant area; and
• Experience in research

Job Details

Location: Buona Vista
Working Hours: Mon-Fri, Office Hour
Work Type: 5-Month Contract
Salary: $ 2,650 per month

What you will be working on?

• Programme Administration: Managing the full course, including registration, materials preparation, room setup, and database/records management.
• Logistics & Operations: Coordinate travel, manage vendors/suppliers, and procure event-related items.
• Financial Management: Oversee timely invoicing, payments to trainers/vendors, and budget monitoring (revenue/expenses/accruals).
• Stakeholder Engagement: Act as a liaison for foreign delegates, associate trainers, and internal units (Finance, AV, Estate) to ensure seamless delivery.
• Compliance: Maintain service standards and meet team KPIs while providing regular progress updates to management.
• Tech-enabled: Able to prepare customised evaluation in Online Feedback System, and capture participants outreach in Training Administration System efficiently.

What are we looking for?

• Singaporean only
• Minimum A-Level/Diploma in Event Management/ Business Management or relevant discipline.
• Prior experience in event management and coordination 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 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 |11C5781

Salary: $13/hr

Duration: immediate till 31 mar

Working Days & Hours: 8am to 5pm (Mon to Fri)

8am to 12pm (Every Sat)

Location: Eunos

Job Description:

• Perform backend administrative duties including appointment scheduling, conducting pre-appointment instructions and follow-up calls, arranging referrals to Specialist Outpatient Clinics (SOC) and data collation.

• Provide clinical support by assisting medical, nursing, and allied health domains with tasks relevant to the Singapore National Asthma Programme (SNAP).

• Cross coverage of duties when required to ensure seamless operations.

• Undertake any other ad hoc assignments assigned by supervisors.

Job Requirements: Min Diploma in any course

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

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-%28Spatial-Computing-Developer%29%2C-Division-of-Industrial-Design/33484-en_GB/

We regret that only shortlisted candidates will be notified.

Job Description

The research assistant will design and develop software applications and content for the Apple Vision Pro in close collaboration with both the principal investigator along with clinical collaborators for deployment as real-world healthcare applications.

Qualifications

Master’s degree in Design or Computer Science

The Centre for Research and Development in Learning at Nanyang Technological University, Singapore (CRADLE@NTU) seeks applicants with a Bachelors (Honours) degree in Psychology, Cognitive Neuroscience or related field from a university of good standing for a Research Assistant Position.

The successful candidate will contribute to the coordination, implementation, and administration of research projects, working closely with researchers, collaborators, schools, and other stakeholders. This role involves supporting research activities, participant recruitment, data collection, project administration, and maintaining accurate research records.

Key Responsibilities:

• Coordinate and support the day-to-day operations and administration of funded research projects to ensure timely delivery of project objectives and milestones.

• Liaise and collaborate with project collaborators, schools, external institutions, and other stakeholders to facilitate project implementation and research activities.

• Organize and coordinate meetings with project stakeholders, including preparation of meeting materials and documentation of key outcomes.

• Conduct literature reviews and support the preparation of research reports, project updates, presentations, and other project deliverables.

• Prepare, submit, and maintain research ethics applications, amendments, and related documentation in accordance with institutional requirements.

• Support participant recruitment, scheduling, and study administration activities.

• Collect research data using psychological, cognitive, and neuroimaging methodologies, including cognitive assessments, MRI, and functional Near-Infrared Spectroscopy (fNIRS).

• Maintain accurate and organized project records, research databases, and documentation in compliance with research governance and data management requirements.

• Support data management, storage, cybersecurity, and data security processes in accordance with institutional policies.

• Assist with the procurement and inventory management of research-related equipment, materials, and services.

• Monitor project timelines and coordinate research activities to support the achievement of project milestones and reporting requirements.

• Prepare and coordinate research progress reports and other project-related documentation for internal and external stakeholders.

• Provide day-to-day guidance and coordination for undergraduate student assistants involved in project activities, where applicable.

• Undertake other research, operational, and administrative duties as assigned by the Principal Investigator.

Requirements:

Required Qualifications and Skills

• Bachelor's Degree (Honours) in Psychology, Cognitive Neuroscience, Neuroscience, Education, or a related discipline.

• Strong written and verbal communication skills, including the ability to prepare reports and communicate effectively with internal and external stakeholders.

• Good organizational and project coordination skills, with strong attention to detail and accuracy.

• Ability to work independently and manage multiple tasks within established timelines.

• Experience with data management, record-keeping, and administrative processes.

• Demonstrated ability to learn new research methods, tools, and technologies as required.

Preferred Qualifications and Experience

• Experience conducting cognitive, psychological, or neuropsychological assessments.

• Experience working with children or in school-based research settings.

• Experience with neuroimaging techniques such as functional Magnetic Resonance Imaging (fMRI) and/or functional Near-Infrared Spectroscopy (fNIRS).

• Experience supporting research administration, ethics submissions, or project coordination.

Additional Information

• The role may require travel to schools, partner institutions, or research sites for data collection and project activities.

• Occasional work outside standard office hours, including weekends, may be required to support research activities. Time-off arrangements will be provided in accordance with university policies.

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

Pioneer

8.30am to 5.45pm (Mondays to Thursdays)

8.30am to 5.15pm (Fridays)

S$4000– S$5400

Responsibilities

• Manage all administrative and logistics matters for all student events and activities.
• Respond to all student-related queries in a timely manner.
• Compile and collate accurately data and statistics for reporting and auditing.
• Provide Faculty/Instructor Support such as faculty/instructor appointment(s), approvals, agreements, payments, and instructor’s requests for classroom support.
• Provide support on timetabling and course administration related tasks.
• Process student reimbursements, keep track of student activities budget and prepare reports.
• Procure logistics such as catering and transportation.

Requirements

• Bachelor’s degree in relevant field with at least 3 years of relevant work experience in student event management, student administration in a higher educational institution preferred.
• Skilled at planning, organizing, multitasking and project management, with a strong customer orientation.
• Proficiency in MS Office applications.
• Willing to support occasional evening and weekend events when required.
  

Jessica Nguyen Huynh Thanh Truc

CEI Reg. No. R23113787

EA License No. 99C4599

We regret that only shortlisted candidates will be notified.

The National Institute of Education invites suitable applications for the position of Research Assistant on a 12-month contract at the Mathematics and Mathematics Education Department.

Project Title: Gen AI in teaching undergraduate mathematics: An exploratory study

Project Introduction: This project involves an exploration of Gen AI in teaching and learning of undergraduate mathematics, focusing on NIE students on the study of Calculus. Lessons will be designed with the infusion of Gen AI for both teaching and learning.

Requirements:

• Bachelor’s Degree in Science, Arts and Social Science, or a related field.

• Ability to work under the instruction of the Principal Investigator in the development of Gen AI related instructional material.

• Willingness to work with students in a learning and research environment.

• Ability to assist the Principal Investigator in collecting and analyzing data arising from this study.

Responsibilities:

• Conduct literature review on Gen AI for mathematics instruction.

• Design Gen AI-related instructional material for Calculus under the supervision of the Principal Investigator.

• Design research instrument under the supervision of the Principal Investigator.

• Collecting data and analysing data related to this project.

• Assist the Principal Investigator in drafting documents related to this project.

• Any other administrative duties as assigned by Principal Investigator.

Application

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

Workday Job Requisition: R00024976

(https://ntu.wd3.myworkdayjobs.com/Careers/job/NTU-Main-Campus-Singapore/Research-Assistant--Mathematics-and-Mathematics-Education-Department---NIE-_R00024976)

Closing Date

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

Salary: $13/hr

Duration: 3 months

Working Days & Hours: 8am to 5pm (Mon to Fri)

8am to 12pm (Every Sat)

Location: Sengkang

Job Description:

• Provide frontline service as a representative of clinics

• Register patients, schedule appointments, and promote digital services

• Assist patients with self-service kiosks

• Manage patient flow and respond to enquiries

• Perform other duties as assigned

Job Requirements: Min Diploma in any course

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 Division of Information Technology and Operations Management at Nanyang Business School is inviting applications for a Research Assistant or Associate (RA) position. The role is expected to begin in June 2026 or thereafter.

Job Responsibilities:

• The RA is expected to plan, organize and implement research projects, in collaboration with the principal investigators. The successful candidate will work closely with professionals in the field of AI, technology and medicine.

• Conduct literature reviews, coordinate schedules for data collection with survey and interview participants

• Assist in data collection, data transcription and analysis

• Contribute to the dissemination of research findings

Job requirements:

• Minimally a bachelor’s degree in a related field

• Excellent oral and written communication skills is required

• Able to work independently and meet deadlines

• Experience with qualitative methods and data analysis

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

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.

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 

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

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.

Roles & Responsibilities:

• Assist main teacher to plan, supervise, and implement the program for the class in accordance with the policies, guidelines, framework, and philosophy of the centre
• Responsible for all aspects of classroom management and carry out routine care duties to ensure safety and hygiene of the children
• Maintain and build relationships with children and parents.

Skills and Knowledge Required:

• Able to assist with Mandarin homework
• Enjoy working with Children
• Excellent communication and interpersonal skills
• Able to work well independently as well as within a team
• Experience with young children be added advantage

Candidate who is keen in building a solid teaching career and be a part of the ‘kampung spirit’ team is warmly welcome to send an updated resume to hr.dncedu@gmail.com

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

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