Tuition centre looking part time/ full time Math Tutors to teach small group (up to 6 students)

Please register your profile with us here as we have many 1-1/small group tuition assignments available(fill in form take less than 5 mins):

https://tinyurl.com/TuitionCentreJobRegistration

Day/time:

Weekday (Tuesday) 630-830pm

Location: Choa Chu Kang/Teck Whye

Salary: $25-35/hr or $70-$140/day

Looking for Secondary science tutors to take lower/upper secondary science class or assist main tutor in Chemistry/Physics/Bio

Part time role available: weekday evening (630-830pm)

Preferably someone with experience/familiar with the syllabus and able to commit till the end of academic year 2025.

Job Scope:

• Able to provide a fun and interactive lesson for students
• Improvement of curriculum, creating lesson materials/tests
• Provide parents simple follow up of their child’s learning progress

Requirements:

• Minimum Qualification 5 GCE O levels credits/ Diploma/ A Levels
• Preferably with at least 1 years of experience in teaching tuition centre, student care or taught in group tuition (3 or more student), or 1-1 home tuition
• Commit till the end of academic year (Oct/Nov)

Tuition Centre is expanding and offer a career progression towards assistant centre manager and centre manager role.

Fresh graduates are welcome and trainings will be provided

If you are keen, please fill in this short form and shortlisted candidate will be asked for a Zoom interview

https://tinyurl.com/TuitionCentreJobRegistration

also submit an application through this portal, we will contact you.

About us

Data science is an important component of biomedical and translational research, where data of multiple modalities are being constantly generated at unprecedented scale. The Research Data Integration group in the Biomedical Datahub Division of the Bioinformatics Institute (BII), A*STAR, aims to bridge the complexity of computational biology and data science with the needs of biologists and clinicians to drive biological discoveries and predict translational outcomes. One of our immediate challenges is to analyze and integrate and analyze multi-omics, imaging and clinical data generated by biomedical institutes in A*STAR, healthcare institutions and national initiatives in Singapore to improve the usability and interpretability of large-scale multimodal datasets of cancer, metabolic diseases, and other diseases. We seek motivated individuals to join us to push the potential of biomedical data in truly benefitting patients.

Job description

We are seeking a research officer to drive data management and analysis of large-scale biomedical multi-omics and clinical data. The candidate will be expected handle a number of tasks, including curate and QC incoming large-scale multi-omics data, implement and benchmark bioinformatics workflows, perform downstream analysis, develop file catalogues, databases, knowledge graphs and visualization of datasets, and implement international data standards to ensure data interoperability. The successful candidate will also extensively mine, analyze and curate publicly available resources and develop annotation tools and databases to link up with available datasets of different diseases, including cancer and metabolic diseases. The candidate will also manage and maintain all data in a database structure and develop a searchable web portal for researchers and clinicians. This position offers the candidate an opportunity to gain expert knowledge in multi-dimensional data from cancer and other diseases, and become computationally competent in delivering these knowledge to the end-user.

Requirements:

• Bachelor/Master degree in Bioinformatics, Computational Biology, Data Science, Computer Science, Engineering, Genetics, Biology or a related field.
• Preferably with at least 3 - 5 years of relevant experience
• Proficient programming skills (e.g. Python, R, RStudio, Jupyter Notebook, Shinyapps)
• Highly experienced with Unix/Linux environment and cloud architecture (AWS)
• Familiar with database development (e.g. SQL), BI and AI/ML.
• A background in life sciences, biology, biomedical informatics or clinical research is preferred.
• Strong analytical and problem-solving skills.
• Excellent oral and written communication and presentation skills.
• Able to work independently, and as part of a team, with a positive and enthusiastic learning attitude.
• Competent project management and organizational skills will be very valuable.

The above eligibility criteria are not exhaustive. A*STAR may include additional selection criteria based on its prevailing recruitment policies. These policies may be amended from time to time without notice. We regret that only shortlisted candidates will be notified.

Research Fellow (Postdoctoral) positions are available in the Computational Digital Pathology Lab (CDPL) at the Bioinformatics Institute (BII), Agency for Science, Technology and Research (A*STAR), Singapore. The AI-based Digital Pathology (AIDP) Program aims to develop and validate advanced AI and machine learning solutions, image processing, computer vision, and mathematical modelling for the pathological diagnosis and prognosis of cancer using digitized pathology slides, including both biopsy and whole standard slides.

The innovative AI-based Digital Pathology Diagnosis (AIDP) programme is a pioneering venture set to transform the landscape of AI pathological diagnosis and solve the global shortage of pathologists and increasing cancer cases with cutting-edge AI technologies. Our focus is on bridging gaps in data quality, model generalizability and market scalability. This groundbreaking initiative aims to advance pathology practices by developing artificial intelligence systems that accurately diagnoses cancer and other diseases from digital pathology images. By leveraging state-of-the-art AI technology and advanced methodologies, we strive to achieve breakthroughs that will revolutionize the way pathologists diagnose diseases, such as Lymphoma, Gastric, Colorectal and Breast cancers, ultimately improving patient outcomes and healthcare efficiency. This program is supported by national funding and led by esteemed institutions/hospitals and cross-disciplinary leaders in the field, providing an unparalleled opportunity for professional growth and collaboration with top-tier experts.

We are seeking passionate, talented individuals to join our dynamic team. If you are driven by curiosity and have a desire to be at the forefront of AI medical innovation, this is the perfect opportunity for you. As a member of our team, you will work in a stimulating environment where creativity and initiative are highly valued. You will have access to state-of-the-art facilities, high-quality data and other resources, and the chance to contribute to high-impact research that can shape the future pathology. Our focus is on creating robust, reliable AI systems that can assist pathologists in making faster and more accurate diagnoses, ultimately leading to better patient care and improving the life quality of humankinds. We are looking for candidates who are not only skilled but also enthusiastic about making a difference. Join us in this exciting journey and be a part of something truly extraordinary! For a research overview of our lab, please refer to https://www.a-star.edu.sg/bii/research/ciid/cdpl

Specific Technical Requirements:

• Proficiency in one or more programming languages: Matlab, C/C++, or Python, etc.
• Extensive knowledge, experience, and expertise in artificial intelligence, machine learning, pattern recognition, and digital image processing techniques.
• Practical coding skills in implementing numerical computational algorithms.
• Strong analytical and logical thinking skills to address and solve complex scientific problems.
• Familiarity with deep learning frameworks such as TensorFlow, PyTorch, or similar.
• Demonstrated ability to learn quickly and integrate knowledge across multiple disciplines.
• Experience or willingness to engage in collaborations with hospitals and clinical settings. Basic knowledge of cell biology or pathology is beneficial.
• Ability to present and articulate research findings at both internal and external seminars and conferences.
• Strong writing skills for both technical reports and scientific papers.

General Requirements:

• Highly motivated scientists or recent Ph.D. graduates eager to pursue a scientific career, particularly with a passion for artificial intelligence, machine vision, computer vision and biological image processing projects.
• At least 5 years of relevant experience
• Strong team player capable of conducting independent research under the guidance of the Principal Investigator (PI) and collaborating effectively with lab members.
• Quick learner with the ability to adapt to new technologies and methodologies.
• Robust understanding and knowledge of scientific and engineering principles.
• Excellent scientific and technical writing skills, coupled with outstanding communication abilities.
• Proven experience or strong interest in working within cross-disciplinary teams, including collaborations with hospitals and clinical researchers.
• Previous experience in AI and image analysis projects, whether in an industrial or academic setting, is advantageous.

The above eligibility criteria are not exhaustive. A*STAR may include additional selection criteria based on its prevailing recruitment policies. These policies may be amended from time to time without notice. We regret that only shortlisted candidates will be notified.

Research Fellow (Postdoctoral) positions are available in the Computational Digital Pathology Lab (CDPL) at the Bioinformatics Institute (BII), Agency for Science, Technology and Research (A*STAR), Singapore. The AI-based Digital Pathology (AIDP) Program aims to develop and validate advanced AI and machine learning solutions, image processing, computer vision, and mathematical modelling for the pathological diagnosis and prognosis of cancer using digitized pathology slides, including both biopsy and whole standard slides.

The innovative AI-based Digital Pathology Diagnosis (AIDP) programme is a pioneering venture set to transform the landscape of AI pathological diagnosis and solve the global shortage of pathologists and increasing cancer cases with cutting-edge AI technologies. Our focus is on bridging gaps in data quality, model generalizability and market scalability. This groundbreaking initiative aims to advance pathology practices by developing artificial intelligence systems that accurately diagnoses cancer and other diseases from digital pathology images. By leveraging state-of-the-art AI technology and advanced methodologies, we strive to achieve breakthroughs that will revolutionize the way pathologists diagnose diseases, such as Lymphoma, Gastric, Colorectal and Breast cancers, ultimately improving patient outcomes and healthcare efficiency. This program is supported by national funding and led by esteemed institutions/hospitals and cross-disciplinary leaders in the field, providing an unparalleled opportunity for professional growth and collaboration with top-tier experts.

We are seeking passionate, talented individuals to join our dynamic team. If you are driven by curiosity and have a desire to be at the forefront of AI medical innovation, this is the perfect opportunity for you. As a member of our team, you will work in a stimulating environment where creativity and initiative are highly valued. You will have access to state-of-the-art facilities, high-quality data and other resources, and the chance to contribute to high-impact research that can shape the future pathology. Our focus is on creating robust, reliable AI systems that can assist pathologists in making faster and more accurate diagnoses, ultimately leading to better patient care and improving the life quality of humankinds. We are looking for candidates who are not only skilled but also enthusiastic about making a difference. Join us in this exciting journey and be a part of something truly extraordinary! For a research overview of our lab, please refer to https://www.a-star.edu.sg/bii/research/ciid/cdpl

Specific Technical Requirements:

• Proficiency in one or more programming languages: Matlab, C/C++, or Python, etc.
• Extensive knowledge, experience, and expertise in artificial intelligence, machine learning, pattern recognition, and digital image processing techniques.
• Practical coding skills in implementing numerical computational algorithms.
• Strong analytical and logical thinking skills to address and solve complex scientific problems.
• Familiarity with deep learning frameworks such as TensorFlow, PyTorch, or similar.
• Demonstrated ability to learn quickly and integrate knowledge across multiple disciplines.
• Experience or willingness to engage in collaborations with hospitals and clinical settings. Basic knowledge of cell biology or pathology is beneficial.
• Ability to present and articulate research findings at both internal and external seminars and conferences.
• Strong writing skills for both technical reports and scientific papers.

General Requirements:

• Highly motivated scientists or recent Ph.D. graduates eager to pursue a scientific career, particularly with a passion for artificial intelligence, machine vision, computer vision and biological image processing projects.
• Strong team player capable of conducting independent research under the guidance of the Principal Investigator (PI) and collaborating effectively with lab members.
• Quick learner with the ability to adapt to new technologies and methodologies.
• Robust understanding and knowledge of scientific and engineering principles.
• Excellent scientific and technical writing skills, coupled with outstanding communication abilities.
• Proven experience or strong interest in working within cross-disciplinary teams, including collaborations with hospitals and clinical researchers.
• Previous experience in AI and image analysis projects, whether in an industrial or academic setting, is advantageous.

The above eligibility criteria are not exhaustive. A*STAR may include additional selection criteria based on its prevailing recruitment policies. These policies may be amended from time to time without notice. We regret that only shortlisted candidates will be notified.

About us

Data science is an important component of biomedical and translational research, where data of multiple modalities are being constantly generated at unprecedented scale. The Research Data Integration group in the Biomedical Datahub Division of the Bioinformatics Institute (BII), A*STAR, aims to bridge the complexity of computational biology and data science with the needs of biologists and clinicians to drive biological discoveries and predict translational outcomes. One of our immediate challenges is to analyze and integrate and analyze multi-omics, imaging and clinical data generated by biomedical institutes in A*STAR, healthcare institutions and national initiatives in Singapore to improve the usability and interpretability of large-scale multimodal datasets of cancer, metabolic diseases, and other diseases. We seek motivated individuals to join us to push the potential of biomedical data in truly benefitting patients.

Job description

We are seeking a research officer to drive data management and analysis of large-scale biomedical multi-omics and clinical data. The candidate will be expected handle a number of tasks, including curate and QC incoming large-scale multi-omics data, implement and benchmark bioinformatics workflows, perform downstream analysis, develop file catalogues, databases, knowledge graphs and visualization of datasets, and implement international data standards to ensure data interoperability. The successful candidate will also extensively mine, analyze and curate publicly available resources and develop annotation tools and databases to link up with available datasets of different diseases, including cancer and metabolic diseases. The candidate will also manage and maintain all data in a database structure and develop a searchable web portal for researchers and clinicians. This position offers the candidate an opportunity to gain expert knowledge in multi-dimensional data from cancer and other diseases, and become computationally competent in delivering these knowledge to the end-user.

Requirements:

• Bachelor/Master degree in Bioinformatics, Computational Biology, Data Science, Computer Science, Engineering, Genetics, Biology or a related field.
• At least 5 years of relevant experience
• Proficient programming skills (e.g. Python, R, RStudio, Jupyter Notebook, Shinyapps)
• Highly experienced with Unix/Linux environment and cloud architecture (AWS)
• Familiar with database development (e.g. SQL), BI and AI/ML.
• A background in life sciences, biology, biomedical informatics or clinical research is preferred.
• Strong analytical and problem-solving skills.
• Excellent oral and written communication and presentation skills.
• Able to work independently, and as part of a team, with a positive and enthusiastic learning attitude.
• Competent project management and organizational skills will be very valuable.

The above eligibility criteria are not exhaustive. A*STAR may include additional selection criteria based on its prevailing recruitment policies. These policies may be amended from time to time without notice. We regret that only shortlisted candidates will be notified.

Our client is a Singapore based Scientific and Medical devices provider with presence in Southeast Asia region. Due to their current expansion plan, they are looking for a Technical Service Engineer to join their Engineering Team, in hopes of developing the current high performing team. They are located in the South area – easily accessible.

Duties of Technical Service Engineer:

• Provide after-sales technical support for equipment installation and maintenance.
• Offer technical guidance and consultation to customers.
• Address and troubleshoot customer issues, ensuring timely solutions.
• Document service activities and prepare detailed reports.

Requirements:

• Minimum NiTEC in ELectrical or Mechanical Engineering
• 2 - 3 years experience in servicing Life Science Medical Devices
• Possess own transport

Interested candidates who wish to apply for the advertised position, please click APPLY NOW or email an updated copy of your resume/cv.

We regret that only shortlisted candidate will be notified

• Email Address: [email protected]
• EA License No: 19C9682
• EA Personnel No: R2199158
• EA Personnel Name: Soo Wei De

• Purchasing Executive
• 5.5 days
• Mon-Fri: 9am-530pm || Sat: 9am-12pm
• $2800-$3800
• Pioneer Rd(Transport Provided from Joo Koon MRT)

Interested applicants can also send your resume to WA: +65 8827 8712 (Ms Lynne) and allow our Consultant to match you with our Clients. No Charges will be incurred by Candidates for any service rendered.

TAN LEE XIAN Reg No: R24123487

The Supreme HR Advisory Pte Ltd EA No: 14C7279

Job Scope:

• To perform company requisitions and purchases in accordance to policies & procedures
• Liase with supplier on price negotiation, delivery, quality, discrepancies, etc
• Compare and evaluate offers from suppliers
• Issuance of Purchase Order
• Explore new suppliers with better quality, price, service and commercial terms
• Updating of approved supplier/vendor list in the server
• Assist in preparing cost budget
• Preparing cost report
• Other related duties as assigned by superior

Job Requirement:

• Experience in purchasing/QS
• Minimum Diploma level or equivalent with at least 1-2 years of relevant working experiences
• Hands-on experience with purchasing software

Phillip Securities Research is looking for a candidate for its research department. This position will be exciting, demanding and rewarding. Join a team of motivated analysts producing high-quality research for a broad clientele.

The main function of this job is to conduct investment research and give investment recommendations based on such research to sales and clients of PhillipCapital.

• Research on US technology sectors and companies
• Provide investment ideas based on your area of coverage
• Conduct presentation on coverage to clients of channel or product owners
• Any other ad-hoc requests by Directors, channels or product owners

Requirements:

• Bachelor degree or higher
• Self-motivated, has a thirst for knowledge, possesses an analytical mind and has an eye for detail
• Strong writer and not afraid to improve as a public speaker

Job Title: Research Fellow/AI Informatician

Job Type: Contract

Job Location: West, Singapore

Job Description:

• Successful candidate will participate in integrative translational research focusing on AI, immunology, immunopathology and immune-imaging.
• He/She will actively support and drive multi-disciplinary research and development projects, and assist in laboratory maintenance duties.

JOB REQUIREMENT

• Possess a Master degree in Biomedical Sciences/Biological Sciences/Life Sciences or relevant fields such as informatics or/and AI.
• Strong programming skills in Python.
• Experience with deep learning frameworks (e.g., PyTorch and TensorFlow) and/or image processing and computer vision (e.g., OpenCV, scikit-image, Kornia).
• Capable in analysing the immunology/ bioinformatic/ imaging/ sequencing big data.
• Experience in analysing data from routine laboratory techniques, including mammalian cell culture, FACS, histology (IHC, multiplex-IHC), etc.
• Sound knowledge in tumour biology, immunology, histology and good basic laboratory skills
• Strong desire to learn in a dynamic multi-disciplinary research environment
• Highly motivated, committed, and have passion for research
• Excellent team player, proactive and able to work independently
• Proficiency in project management and multitasking, strive under pressure
• Meticulous, good analytical, technical and problem solving skills
• Great interpersonal, communication and organizational skills.

This is an outsourced role.

If you are looking for an opportunity and your skills align with this job, please send your updated CV/resume (in Word format) to Mounika at [email protected].

Mounika Tanuku

EA Regn. No. R22109193

EA Licence No. 93C4403

You will play a pivotal role in the Heart Protection theme of the National Heart Research Institute of Singapore (NHRIS) at the National Heart Centre of Singapore (NHCS). Your responsibilities will include:

· Leading, executing and managing a public-private partnership programme.

· Initiating and coordinating key processes of the programme in collaboration with Principal Investigators.

· Providing valuable intellectual contributions and strategic insights for the overall programme and its projects.

· Engaging and managing key stakeholders, both internal and external, across hospitals, research institutions, and industry partners.

· Overseeing administrative tasks such as facilitating meetings, managing agreements, generating reports, and budgeting to ensure the smooth operation of the programme

Job Requirements

- Degree in Science, Health Science or its equivalent with a strong background in molecular and cell biology

- Minimum 1 - 2 years’ relevant work experience in healthcare or research setting

- Experience in managing budgets and supervising junior staff

- Relevant project management certification and familiarity with A*STAR reporting requirements would be an advantage

- Demonstrated project management experience, preferably in laboratory and finance management

- Experience in preparing and submitting grant proposals, including knowledge of grant variations, submissions, and reporting

- Able to work independently, coupled with effective problem-solving and organisational skills

- A capable leader who can guide the team, monitor progress, supervise, and manage collaborative research activities

LKCMedicine seeks a Research Associate (RA) to lead innovative research in medical image processing, 3D organ reconstruction, large-scale model applications, and AI integration with surgical robotics. The RA will design advanced algorithms and develop AI tools tailored for medical applications, bridging computational solutions with practical use. These tools will support clinicians and researchers, enhancing healthcare delivery. The RA will play a vital role in advancing LKCMedicine's mission of leveraging technology to improve patient outcomes and maintain the institution's leadership in medical innovations.

Key Responsibilities:

• Design and implement AI algorithm models to analyze multimodal medical datasets (including MRI, CT, X-ray, OCT, and ultrasound images) for high-precision medical organ segmentation, 3D modeling research, and intelligent diagnosis.
• Explore and develop the application of large-scale pre-trained models in medical scenarios, including but not limited to intelligent consultation systems based on large language models and disease management systems utilizing multi-modal large model technologies.
• Develop, test, and optimize AI software systems for various medical tasks, ensuring their applicability and accuracy in real-world medical environments.
• Utilize data storage technologies to manage multimodal medical data securely and efficiently, ensuring data privacy while providing high storage capacity to accelerate AI model training and inference.
• Enhance the visualization capabilities of AI software system outputs using VR/AR equipment and 3D visualization technologies, aiding clinical observations and assisting interns in training and rapid learning.
• Collaborate with the team to systematically complete research and development tasks, assisting in the development of AI-assisted robotic solutions for surgical procedures, including pre-operative planning and intra-operative guidance.
• Ensure that all research activities adhere to ethical guidelines and patient data privacy regulations.
• Stay updated on the latest advancements in medical imaging, image processing, robotics, and large language models, ensuring that the research remains at the forefront of the field.
• Collaborate with external researchers and interdisciplinary teams (including medical professionals, AI experts, and research professors) to ensure the necessity, professionalism, rationality, and practicality of the research.
• Attend conferences, workshops, and seminars to represent the research team, acquire new knowledge, and establish collaborations.
• Write research proposals, grant applications, and contribute to the team's strategic research direction.
• Mentor and train junior researchers, students, and interns, ensuring they possess the necessary skills and knowledge to contribute effectively to the research.

Key Competencies and Education Qualifications:

• Master degree in Computer Engineering, Computer Science, or a related field from a prestigious institution.
• Extensive experience in deep learning, AI, computer vision, 3D reconstruction algorithms, and large-scale Pre-trained Models.
• A solid research foundation and engineering experience in the AI medical field, proficient in programming languages and frameworks such as Python, C++, Pytorch, Tensorflow, Opencv, and COLMAP.
• Experience in software system engineering, capable of designing a well-structured system architecture to support the implementation of AI medical software.
• Proficiency in SQL, NoSQL, and other data storage technologies, able to apply them flexibly and effectively in the AI medical field, ensuring data storage performance and security.
• Familiarity with annotation and labeling software, particularly LabelImg, and an understanding of the importance of high-quality data annotation in AI model training.
• Experience analyzing and interpreting medical imaging datasets, particularly ophthalmic imaging data, with an understanding of the nuances and peculiarities of such datasets.
• Familiarity with using VR/AR devices and medical visualization tools (such as Unity) for 3D software applications.
• A deep understanding of ethical considerations, patient data privacy regulations, and other compliance-related aspects of medical research.
• Ability to collaborate with interdisciplinary teams, including medical professionals, AI experts, and research professors.
• Proactive and self-driven, capable of developing and managing multiple tasks and projects simultaneously.

Responsibilities:

• Provides assistance to the research team

• Screens and recruits suitable patients to participate in the research project

• Briefs patients on research background and rationale and to obtain their consent of participation

• Collects data from patients' medical records and research statistics

• Helps document adverse events / reactions that arise

• Performs phlebotomy and venepuncture when required

Requirements:

• Minimum Degree/ Diploma in Nursing

• Min 3 years’ experience in Hospital

Only Nurses with SNB license NEED APPLY

Interested candidates please send a copy of your resume in MS Word to

[email protected]

EA Personnel: Valerie Yong Kian Fung (R1103704)

Company Reg. No. 199601303W

EA Licence No. 99C4599

Responsibilities:

• Assist the Business Development Manager and/or Management to support business unit growth and profit objectives, driving demand for select area of business
• Ensure to meet business unit objectives, sales goals and client retention goals; increase brand recognition; and enhances market position
• Manage PSC marketing efforts including marketing materials, website, social media, tradeshows and events
• Develop a thorough knowledge of products and services, business models, operations, competition, and the industry
• Develop and maintain technical sales expertise, stay updated on all trend and development related to product portfolio
• Track sales progress and support forecast efforts
• Identify business opportunities by identifying prospects and evaluating their position in the industry; researching and analysing sales options
• Support Sales staff in key account management through sales cycle in the preparation of quotations, proposals, service contracts, purchase orders, deliveries and manage customer payments
• Establish pricing strategy to improve on product sales and for new business opportunities
• Support local sales process in tender specification, configuration, product presentation and demonstration, trial, user training and support for onsite service coordination
• Manage customer satisfaction
• Follow up on submitted information by telephone or email
• Be committed to independence, neutrality and impartiality in dealing with colleagues, customers and supplier; safeguarding the confidentiality of customers and suppliers, will not disclose confidential information to third parties unless prior agreement has been provided

Requirements:

• Diploma or Degree in Chemical Engineering, Chemistry, Business Management or Marketing or equivalent. Preferably with experience in Services / Product Marketing
• Excellent Microsoft Office skills specifically Word and Excel
• Excellent administration skills
• Business-to-business marketing experience
• Excellent written and spoken English communication skills
• Good eye for detail
• Team player

Working hours:

Wed & Thurs, 3:30pm to 10pm

Fri, 2pm - 10pm

Sat, 8am to 8:30pm

Sun, 9am to 6:30pm

Job Responsibilities:

• Prepare lessons and worksheets

• Assessment of students' work

• Contribution to curriculum development

• Manage class size of about 10 students

Job Requirements:

• To teach Sec Math and Science

• Preferably with at least 1-2 years of teaching experience

• Passionate about teaching and are constantly able to see the best in a child

• Familiar with Singapore curriculum

• Able to work on weekends

Successful candidates will be assigned to different job role depending on education level and experience.

After School Student Care Teacher (Math & Science subjects)
Basic Salary: $3000-$3500
Working Hours: Mon-Fri | 12pm-7pm
Working Location: Sembawang

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 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 EA No: 14C7279

✅SAMUEL SIAW Reg No: R24124745

The School of Chemistry, Chemical Engineeri​ng and Biotechnology (CCEB) invites applications for the position of Research Fellow.

Key Responsibilities:

• Perform literature study
• Set up research facilities and conduct experimental work on synthesis and application of reticular materials
• Report/manuscript writing

Job Requirements:

• PhD degree in chemical engineering, materials science and engineering, or related disciplines
• Experience in formal writing in English - for research work purposes
• Adaptable and able to multi-task
• Proficient in MS office applications

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

Interested applicants are invited to apply directly at the NUS Career Portal

Your application will be processed only if you apply via NUS Career Portal

We regret that only shortlisted candidates will be notified.

Job Description

Duties & Responsibilities
1.Recruit, train, assess and supervise personnel performing recruitment and interviewing to ensure quality of the participant data.
2. Manage the recruitment listings and study visit scheduling to ensure response rates and operating capacity are maximised, and project timelines are being met
3. Design, test, implement and review new workflows or surveys
4. Recontact participants to verify and rectify collected information
5. Ensure participant information in the operations database is updated and accurate and the completed consent and data forms are accounted for and securely stored
6. Record and track the submission, rework or rejection of consent forms and questionnaires and generate reports on data quality
7. Investigate participant complaints and incidents and implement appropriate actions for continual improvement of processes and service
8. Supervise and guide callers, interviewers and recruiters on professional conduct and responsiveness to ensure participant satisfaction and willingness to contribute for the long-term
9. Compute monthly payments to the recruiters
10. Manage the cash and vouchers for the reimbursement to participants of various projects

Qualifications

• A degree holder, preferably from a biomedical or life science discipline
• Minimum 3 years of working experience and 1 year of supervisory experience
• Clear and good communication skills
• Careful and meticulous with data management
• Fluent in English and at least 1 other local language (for examples Malay or Chinese) to be able to understand and communicate with research participants who are only able to speak Malay or Chinese
• Proficient in Microsoft applications

Interested applicants are invited to apply directly at the NUS Career Portal

Your application will be processed only if you apply via NUS Career Portal

We regret that only shortlisted candidates will be notified.

Job Description

The successful candidate will work with Prof. Mandar Chitre on the research on medium access control (MAC) under space-time coupling mesh-connected networks.

The main responsibilities of the position include:

• Conduct in-depth analysis of medium access control (MAC) in mesh-connected underwater acoustic networks (UANs), focusing on space-time coupling characteristics.
• Investigate the impact of space-time coupling on MAC performance, including access capacity and network efficiency, in mesh-connected UANs.
• Design and optimize topology-shaping techniques for mesh-connected UANs to enhance network performance.
• Simulate and test the proposed algorithms and network designs to evaluate their effectiveness in improving access capacity and reducing interference.
• Work collaboratively with interdisciplinary teams to align research findings with practical applications in underwater resource development.

Qualifications

PhD in Electrical Engineering, Computer Science, or a Related Field, with a focus on one or more of the following areas:

• Wireless Communications
• Underwater Acoustic Communications
• Network Protocols and Medium Access Control (MAC)
• Signal Processing

• Basic Salary: $3000-$3500
• Working Hours: Mon-Fri | 12pm-7pm
• Working Location: Sembawang Shopping Centre

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 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)

Leong Jia Qi Reg No. : R24124746

The Supreme HR Advisory Pte Ltd EA No. : 14C7279

Interested applicants are invited to apply directly at the NUS Career Portal

Your application will be processed only if you apply via NUS Career Portal

We regret that only shortlisted candidates will be notified.

Job Description

The job holders are to work with PI and the research team to process air quality data and study small-scale dispersion of airborne pollutants in urban environment.

Qualifications

One or more of (but not limited to) the following:

• Proven as a fast learner of conducting literature search and literature summary
• Experiences of VOC speciation via chromatography and/or online real-time detection instrument (e.g., PTR-MS)
• Proficient of handling data via 2 methods among Excel, R, Matlab, Python, etc.
• Proactive in assisting and contributing to quality scientific research publications
• Keen on field studies with prior experiences
• Proficient in technical presentation, slide making, report writing, etc.
• Proven rounded and effective team player with strong initiative and ownership of the research project

Interested applicants are invited to apply directly at the NUS Career Portal

Your application will be processed only if you apply via NUS Career Portal

We regret that only shortlisted candidates will be notified.

Job Description

The job holders are to work with PI and the research team to process air quality data and study small-scale dispersion of airborne pollutants in urban environment.

Qualifications

One or more of (but not limited to) the following:

• Proven as a fast learner of conducting literature search and literature summary
• Experiences of chemical characterization via chromatography (GCMS, LCMS, GCTOFMS, etc.)
• Proficient of handling data via 2 methods among Excel, R, Matlab, Python, etc.
• Proactive in assisting and contributing to quality scientific research publications
• Keen on field studies
• Proficient in technical presentation, slide making, report writing, etc.
• Proven rounded and effective team player with strong initiative and ownership of the research project

Interested applicants are invited to apply directly at the NUS Career Portal

Your application will be processed only if you apply via NUS Career Portal

We regret that only shortlisted candidates will be notified.

Job Description

The National University of Singapore invites applications for the position of Research Fellow 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 in 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.

The Research Fellow will be responsible for working closely with the Principal Investigator on one or more projects.

Description

Fuzzing is a powerful technique for finding security vulnerabilities in systems and is used by corporations regularly. In this work, we will study the role of AI in cybersecurity - by aiding fuzzing techniques with large language models.

Tasks

• Conduct Research on AI-Aided Fuzzing: Lead research efforts to explore the integration of large language models (LLMs) with fuzzing techniques for identifying security vulnerabilities in systems. Design experiments and methodologies to evaluate the effectiveness of AI-aided fuzzing in comparison to traditional methods.
• Develop AI Models for Fuzzing Enhancement: Develop and implement AI models, including deep learning architectures, reinforcement learning algorithms, and natural language processing techniques, to enhance fuzzing capabilities. Train these models on relevant datasets to improve their ability to generate meaningful inputs for fuzzing.
• Collaborate with Interdisciplinary Teams: Collaborate with interdisciplinary teams comprising cybersecurity experts, AI researchers and software engineers to integrate AI-aided fuzzing techniques into existing cybersecurity frameworks. Communicate findings and insights effectively to team members and stakeholders.
• Publish Research Findings: Document research findings in academic publications, conference papers, and technical reports. Disseminate knowledge gained from the study of AI in cybersecurity, particularly in the context of fuzzing, to the broader research community through presentations and workshops.

Qualifications

• Ph.D. in Computer Science, Cybersecurity, or a related field: A terminal degree in a relevant field is essential to demonstrate the depth of knowledge and expertise required for conducting advanced research in AI and cybersecurity.
• Research Experience in Fuzzing and AI: Proven track record of conducting research in fuzzing techniques and artificial intelligence, with a focus on deep learning, natural language processing, or reinforcement learning. Experience in applying AI methods to cybersecurity problems is highly desirable.
• Publication Record: Demonstrated ability to publish research findings in reputable conferences and journals relevant to AI, cybersecurity, or software engineering. Strong publication record in top-tier venues indicates the ability to contribute novel insights to the field.
• Programming and Software Development Skills: Proficiency in programming languages such as Python, C/C++, or Java is necessary for developing and implementing AI algorithms and fuzzing tools. Experience with software development methodologies and version control systems is advantageous.
• Analytical and Problem-Solving Skills: Strong analytical skills and problem-solving abilities are essential for designing experiments, analyzing data, and deriving actionable insights from research findings. Experience with experimental design and statistical analysis techniques is beneficial.
• Communication and Collaboration Skills: Excellent written and verbal communication skills are required to convey complex ideas and technical concepts to both technical and non-technical audiences. Ability to collaborate effectively with interdisciplinary teams and communicate research findings clearly is crucial.
• Self-Motivation and Initiative: Demonstrated ability to work independently and take initiative in driving research projects forward. Proven track record of self-motivated learning and exploration of new methodologies and technologies in the field of AI and cybersecurity.
• Candidates who meet these qualifications and possess a strong passion for advancing the state-of-the-art in AI-aided cybersecurity, particularly in the domain of fuzzing, are encouraged to apply.

Only shortlisted candidates will be notified.

Join Our Team at the School of Physical and Mathematical Sciences, Nanyang Technological University, Singapore

The School of Physical and Mathematical Sciences (SPMS) at NTU Singapore hosts research and education activities in two divisions: Division of Mathematical Sciences (MAS) and Division of Physics and Applied Physics (PAP). MAS covers diverse topics ranging from pure mathematics to the applications of mathematics in cryptography, computing, business, and finance. PAP covers many areas of fundamental and applied physics, including quantum information, condensed matter physics, biophysics, and photonics. Over the years, SPMS has attracted talented individuals from around the world and Singapore to join as scientific leaders and researchers.

A Research Fellow position is currently available in the School of Physical and Mathematical Sciences (SPMS), working on topological exciton polariton experiments.

Key Responsibilities:

• Fabrication of topological exciton polariton lattices based on novel seminconductors
• Use electron beam lithographic techniques to etch novel lattice patterns
• Perform optical characterizations of structures using various optical spectroscopy
• Collaborate with theoretical researchers in the design and optimization for new fundamental effects and the creation of polaritonic topological lattices
• Perform nonlinear optical measurements, using interferometric, angle-resolved, and correlation type techniques
• Record, manage, and store collected data in line with NTUs data management policies
• Disseminate results in the form of peer-reviewed publications and presentations at international conferences

Job Requirements:

• PhD in Physics, Optics, Material sciences, Engineering from a reputable University
• Track record of peer-reviewed papers in international journals
• The ideal candidate would have experience in the heterostructure and device fabrications

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

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

Job Scope:

Research

· Assist with data collation, analysis, and compilation of Singapore Cultural Statistics

· Assist with building of data warehouse/research for quarterly data insights newsletter, Culture Bytes.

· Assist with organisation of research training workshops for the Cultural Policy Research Network.

· Assist with development of Custom-GPTs for Research use cases where needed (training will be provided).

Any other duties as may be agreed and assigned.

Working Arrangement:

Location: Clarke Quay

Working Hours:

Mondays – Thursdays, 9am – 6.30 pm (1 hour lunch break)

Fridays, 9 am – 6 pm

Hybrid mode – few days in office and some days work from home

Salary: Monthly Rated

Contract Duration: June 2025 - Dec 2025

Work Requirements:

· Good good communication and written skills

· Versed in Microsoft office

· Good eye for details, interest in research, publications, and data management

· Ability to work in dynamic working environment

· Team player

EA License No.: 96C4864 (Shanice Lim Xin Ni)

Reg. No.: R22110485

The School of Materials Science and Engineering (MSE) provides a vibrant and nurturing environment for staff and students to carry out inter-disciplinary research in key areas such as Computational Materials Science, Characterisation Materials Science, Defence Composite Materials, Functional Composite Materials, Energy, Nanomaterials, Low Dimensional Materials, Biomaterials Materials, Biological Materials, Bioinspired Materials and Sustainable Materials.

For more details, please view https://www.ntu.edu.sg/mse/research.

We are looking for a a research associate position to advance the understanding of chirality in hybrid organic-inorganic materials using cutting-edge Transmission Electron Microscopy (TEM) techniques. The role will focus on investigate the mechanisms of chirality transfer, characterize chiral structures, and explore their functional properties to develop next-generation materials for optoelectronics and spintronics.

Key Responsibilities:

• Chirality Transfer Mechanisms
  Study how chiral organic ligands influence the structural and electronic properties of hybrid frameworks.
• Material Synthesis and Preparation
  Develop solution-based methods for synthesizing chiral hybrid structures.
  Investigate material-based chirality transfer mechanisms, such as mesoporous silica templating.
• TEM Characterization
  Perform high-resolution TEM and selected area electron diffraction (SAED) to elucidate atomic structures and symmetry.
  Conduct energy dispersive X-ray spectroscopy (EDX) for compositional analysis.
• Collaboration and Dissemination
  Collaborate with interdisciplinary teams and publish findings in peer-reviewed journals.

Job Requirements:

• Masters in Material Science Engineering
• At least 3 years of relevant experiences in TEM / technical hands-on experience in operating electron microscopes
• Familiarity with wet lab skills, electron microscopy and sample prep
• Good written and oral communication skills
• Competent in soft skills / information visualization, interaction design
• Interpersonal skills

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