The Perfect Start

a great place to begin something real.

what you do

•       join real client visits alongside our team

•       sit in on meetings with business owners

•       see how businesses work from the inside

•       clients in telco, health, education

what you get

•       meaningful experience from day one

•       mentorship from people doing the real work

•       opportunity to join us full-time after

•       a team that genuinely looks out for you

you if

•       curious and genuinely excited to learn

•       warm, easy to talk to, good with people

•       looking to grow, not just get experience

•       Singaporeans only

We are seeking a dedicated and knowledgeable O-Level Math & Combined Science (Chemistry & Physics) teacher to join us on this educational journey.

Job Responsibilities

• Deliver engaging and effective lessons for O-Level Mathematics and Combined Science (Chemistry & Physics) students
• Prepare and conduct lessons in accordance with the Singapore O-Level syllabus and examination requirements
• Explain mathematical and scientific concepts clearly to support students’ understanding and academic progress
• Guide students on examination answering techniques, critical thinking, and problem-solving strategies
• Monitor students’ performance and provide timely feedback and academic support where necessary
• Prepare lesson materials and ensure a positive and conducive learning environment
• Maintain professionalism and classroom discipline during lessons

Requirements

• Strong subject knowledge in Mathematics, Chemistry, and Physics
• Prior teaching or tutoring experience in O-Level Mathematics and/or Combined Science preferred
• Possess at least a Bachelor’s Degree in a relevant field
• Familiar with the Singapore O-Level syllabus and examination format
• Able to engage students effectively and manage classroom dynamics well
• Passionate about teaching and supporting student development

Some careers have more impact than others.

If you’re looking for a career where you can make a real impression, join HSBC and discover how valued you’ll be. Whether you want a career that could take you to the top, or simply take you in an exciting new direction, HSBC offers opportunities, support and rewards that will take you further.

We are currently seeking a high calibre professional to join our team as an Manager, Actuarial Services.

In this role you will:

• Be part of Par & Universal Life Fund Management and Experience Studies team.
• Be responsible for supporting experience monitoring, assumption setting, and   Universal Life fund management.
• Support the monthly and quarterly delivery of management information for internal stakeholders.
• Support in ad-hoc actuarial projects and enhancement project of existing processes.
• Work with internal and external stakeholders to deliver the assigned tasks.
• Maintain documentation as per HSBC guidelines.

To be successful you will need: 

• University graduate in a relevant discipline in Actuarial Studies, with good progress in actuarial exams of an international recognized actuarial body.
• Relevant Actuarial experience, candidate with less experience will be considered for Associate position.
• Good communication skills, both written and spoken.
• Ability to work independently, interact with other departments
• Good technical, analytical and problem solving skills; Experience in SQL/Python and/or Prophet is a plus.
• Team player with good interpersonal skills and positive attitude.

Opening up a world of opportunity

HSBC is committed to building a culture where all employees are valued, respected and opinions count. We take pride in providing a workplace that fosters continuous professional development, flexible working and opportunities to grow within an inclusive and diverse environment. Personal data held by the Bank relating to employment applications will be used in accordance with our Privacy Statement, which is available on our website.

Issued by The Hongkong and Shanghai Banking Corporation Limited.

https://www.youtube.com/embed/NIa2CodFG6E?si=sFOWeYmq5fs3vE5i%22

RESPONSIBILITIES

• Lead and supervise Engineers, Assistant Engineers, Engineering Assistants, Technicians, and Operators to achieve departmental goals and objectives.
• Perform full hands-on operation, setup, and troubleshooting of Guzik DET machines or equivalent HDD component testing equipment, with strong knowledge of HDD head and media component testing algorithms.
• Ensure consistent machine uptime and adequate manpower planning to support continuous R&D and Mass Production (MP) operations.
• Evaluate new machine technologies to support customer product roadmaps and prepare technical evaluation reports.
• Drive continuous research and development of critical Guzik parameters to support HDD performance improvement.
• Conduct in-depth analysis and investigation of media magnetic properties versus electrical performance.
• Plan and manage direct and indirect materials for budgeting, logistics, and inventory control purposes.
• Coordinate with other Resonac sites for technology and methodology information sharing.
• Ensure compliance with ISO Standard Operating Procedures and safety practices.

Requirements

• Bachelors Degree or Masters degree in Electronics Engineering or a related discipline.
• Degree holder with at least 4 years of relevant working experience with electrical / electronic testing scopes. 
• Proficient in Microsoft Office applications (Word, Excel, PowerPoint).
• Strong communication and analytical skills.
• Working knowledge of evaluation and testing techniques.
• Proficient in statistical analysis tools such as Minitab, JMP, Spotfire, or equivalent software.
• Knowledge of Visual Basic–based and Python software programming.
• Able to work in a cleanroom-based environment.

GMP Technologies (S) Pte Ltd | EA Licence 11C3793 | EA Personnel: Novita Widjaja | Registration No: R22105960

PositionOverview

This rolewill be responsible for the operation and management of the AI academiccommunity, GAIR DAO Community (www.gairdao.com),while also driving engagement and collaboration with academic resources andresearchers.

KeyResponsibilities

1.Academic Outreach & Partnership Development

• Leverage local Singapore universities (such as NUS, NTU, and SMU) to proactively maintain and expand long-term relationships with AI researchers, PhD students, and leading research laboratories, building a stable academic collaboration network.
• Establish and maintain connections with a broader academic audience, including authors of high-impact research papers and overseas Chinese students, through participation in international academic conferences and other technology-related events.
• Convert established academic connections into long-term collaborations, such as inviting scholars to participate as guests on our podcast series “GAIR Live” , or engaging them in academic content co-creation initiatives.

2.Community Content Operations & Management

• Publish and synchronize key content produced by other team members (e.g., conference summaries, paper reviews, and research insights) to the GAIR DAO community platform, while facilitating meaningful discussions.
• Increase community engagement and user participation through effective community management strategies.
• Proactively propose and implement improvements to content production, engagement activities, and operational workflows.
• Regularly generate operational reports, analyze key performance indicators such as community growth and engagement rates, and provide actionable recommendations.

Qualificationsand requirements

• Excellent verbal and written communication skills in both English and Chinese.
• Results-oriented, highly organized, and capable of managing multiple tasks while maintaining consistent content output and achieving objectives.
• Strong interest in or understanding of artificial intelligence and international academic conferences.
• Prior experience in academic outreach, research community management, or related fields is preferred, such as participation in academic conferences or collaborations with universities and research institutions.
• Singapore or PR only .

WorkEnvironment & Travel Requirements

This rolerequires participation in leading international academic conferences heldworldwide. Key responsibilities at these events include:

• Networking with scholars and maintaining records of relevant contacts and information.
• Supporting conference-related content development and gathering materials for future content creation.
• Contributing to timely original content such as conference highlights, quick commentary, and event recap articles.

Interestedparties, please sent detail resume to : admin@gair.sg

We arecommitted to building a global academic content platform and look forward towelcoming you to our team.

Job Title: Research Officer

Working Days & Hours: Monday – Thursday: 8.30am – 6.00pm & Friday: 8.30am – 5.30pm⏰ (Including 1-hour break)

Job Responsibilities:

• Location: Pioneer (With company bus pick up)
• Working hours: 8.30am - 5.30pm
• Up to $5,000 (Basic Salary, Depending on experiences)
  

Job Description

Optimizing hard disk storage: Implement strategies to maximize existing storage capacity and explore potential upgrades for significant storage expansion.

Improving sputter machine stability: Focus on enhancing the reliability and performance of the sputter machine and its processes.

1) To lead a group of sputter Engineer Assistant to conduct daily sputtering work

2) To develop new multilayers thin film structure for new hard disk media programs

3) To duplicate hard disk media structure based on design transferred

4) To monitor sputter process & machine stability

5.) Ensure compliance to ISO quality and Safety standards

6) Any other duties as assigned by superior

Job Requirement

・Bachelor/ Master Degree in Materials Science Engineering

・Research fellow in A star research institute (Advantage)

・Working experience more than 2 years in semiconductor field or hard disk industry

・Understanding of Magnetic material multi layers design

・Sputtering machine hardware modification & improvement

・Materials Science Knowledge is a must

・Materials Characterization Skills, ie XRD, AFM, ESCA/XPS is a must

・Thin Film manufacturing process, ie PVD & CVD is a must

・Python Coding knowledge is a plus

・SPC (Statistical Process Control) knowledge is a plus

・After work hours commitment needed (twice a week)

We regret that only shortlisted candidates will be notified. Other applications will be updated to our database for future job opportunities.

By submitting any resumes or applications to Pasona Singapore Pte Ltd, you are considered to have read and agreed on the terms of our Privacy Policy, and consented to us collecting, using, retaining, disclosing your personal information to the prospective employers for their consideration.

Effective from 1 October 2020 under the new Employment Agencies (EAs) Licence Conditions,

EAs will be required to collect the personal data (e.g. NRIC number number for overseas candidates) of applicants referred to employers for permanent or contract job positions of at least six months with a fixed monthly salary of S$3,300 and above.

PDPA requirements on collection, use, and disclosure of personal data would not be applicable to EAs that are collecting such information as it is a regulatory requirement by Ministry of Manpower.

Please find Privacy Policy Agreement from the below link.

http://www.pasona.com.sg/privacy.html

Khoo Tiffany

EA Registration No: R22107626

Pasona Singapore Pte. Ltd.

EA License No: 90C4069

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

• This position is for SMU Resilient Workforces Institute (ResWORK)
• Implement AI models, explanations, and interactive ML techniques.
• Design and implement web-based prototypes.
• Conduct analyzing experimental and interaction data.Contribute to technical documentation and demonstrations.

• Minimum Bachelor's in Computer Science, Information Technology, Information Systems or closely related disciplines.
• Minimum 1 years of relevant research experience in AI and machine learning.
• Experience in web-based prototyping.

#LI-XL1

Interested applicants are invited to apply directly at the NUS Career Portal. Please note your application will only be processed if you apply via NUS Career Portal.

NUS Career Portal link: https://careers.nus.edu.sg/job/Research-Fellow-%28Digital-Twin-of-Data-Center%29/33224-en_GB/

We regret that only shortlisted candidates will be notified.

Job Description

This project aims to develop intelligent control and digital-twin methods for energy-efficient data center thermal management. The work will involve modeling and simulation of data center cooling systems, together with the development of advanced control strategies. The candidate will use operational data, computational modeling, and optimization techniques to improve cooling energy efficiency, thermal reliability, and control robustness under dynamic IT workloads and environmental conditions.

Qualifications

•             PhD degree in mechanical engineering, control engineering, energy systems, or a related field.

•             Strong background in thermal-fluid systems, data center cooling, digital twins, and intelligent control.

•             Experience in Python/MATLAB, numerical simulation, and data-driven modeling.

•             Experience in model predictive control or reinforcement learning is preferred.

•             Good publication record in energy-efficient cooling or AI-assisted energy systems is desirable.

Interested applicants are invited to apply directly at the NUS Career Portal. Please note your application will only be processed if you apply via NUS Career Portal.

NUS Career Portal link: https://careers.nus.edu.sg/job/Research-Fellow-%28Interdisciplinary%29%2C-ChBE/33228-en_GB/

We regret that only shortlisted candidates will be notified.

Job Description

Positions are available for Research Fellows (or Post-doctoral Fellows) in the research group of Prof. Siowling Soh, at the Department of Chemical and Biomolecular Engineering, National University of Singapore (NUS).  

The group’s general program of research involves the coupling of organic materials, mechanical forces, and electrostatics at different interfaces (e.g., solid, liquid, or gas). This coupling is currently greatly under-explored and poorly understood in science. At the same time, the coupling gives rise to many fascinating new natural phenomena for exciting fundamental discoveries and development of impactful and original technologies. 

The general approach of the group is to conduct original programs and new directions of research with strong fundamental science. The group is highly interdisciplinary and involves engineering (e.g., fluid mechanics), materials science, chemistry, and physics. Different organic materials are used, including polymers (e.g., stimuli-responsive polymers), hydrogels, and covalent organic frameworks (COFs). 

One project involves an original system that harvests water energy from nature (e.g., rain and rivers) and directly generates electricity by solid-liquid charge separation with high energy conversion efficiency. Other projects involve clearing virus-laden atmospheric aerosols and preventing the spread of infectious diseases (e.g., COVID-19) and development of clean surfaces that do not adhere any dust on them. Another research involves stimuli-responsive polymers for small molecular separation, smart delivery, and intelligent soft machines.

A recent exciting and emerging field from our group is the development of novel mechanocatalysts for performing mechanochemical reactions with high energy conversion efficiency. Harvesting energy from mechanical forces of nature (e.g., wind or water flows) is a novel and sustainable approach to performing chemical reactions. 

Qualifications

The ideal candidate is preferably someone open-minded to conducting original fields of research, independent, and hardworking. Because the research of the group is highly interdisciplinary and many projects in different disciplines are ongoing, candidates with a Ph.D. from a wide range of backgrounds will be considered for different projects, including engineering (e.g., chemical, mechanical, etc), materials science, chemistry, and physics.  

For more information on the background of the research, please refer to: https://blog.nus.edu.sg/chessl/

Interested applicants are invited to apply directly at the NUS Career Portal. Please note your application will only be processed if you apply via NUS Career Portal.

NUS Career Portal link: https://careers.nus.edu.sg/job/Research-Fellow-%28Interdisciplinary%29%2C-ChBE/33230-en_GB/

We regret that only shortlisted candidates will be notified.

Job Description

Positions are available for Research Fellows (or Post-doctoral Fellows) in the research group of Prof. Siowling Soh, at the Department of Chemical and Biomolecular Engineering, National University of Singapore (NUS).  

The group’s general program of research involves the coupling of organic materials, mechanical forces, and electrostatics at different interfaces (e.g., solid, liquid, or gas). This coupling is currently greatly under-explored and poorly understood in science. At the same time, the coupling gives rise to many fascinating new natural phenomena for exciting fundamental discoveries and development of impactful and original technologies. 

The general approach of the group is to conduct original programs and new directions of research with strong fundamental science. The group is highly interdisciplinary and involves engineering (e.g., fluid mechanics), materials science, chemistry, and physics. Different organic materials are used, including polymers (e.g., stimuli-responsive polymers), hydrogels, and covalent organic frameworks (COFs). 

One project involves an original system that harvests water energy from nature (e.g., rain and rivers) and directly generates electricity by solid-liquid charge separation with high energy conversion efficiency. Other projects involve clearing virus-laden atmospheric aerosols and preventing the spread of infectious diseases (e.g., COVID-19) and development of clean surfaces that do not adhere any dust on them. Another research involves stimuli-responsive polymers for small molecular separation, smart delivery, and intelligent soft machines.

A recent exciting and emerging field from our group is the development of novel mechanocatalysts for performing mechanochemical reactions with high energy conversion efficiency. Harvesting energy from mechanical forces of nature (e.g., wind or water flows) is a novel and sustainable approach to performing chemical reactions. 

Qualifications

The ideal candidate is preferably someone open-minded to conducting original fields of research, independent, and hardworking. Because the research of the group is highly interdisciplinary and many projects in different disciplines are ongoing, candidates with a Ph.D. from a wide range of backgrounds will be considered for different projects, including engineering (e.g., chemical, mechanical, etc), materials science, chemistry, and physics.  

For more information on the background of the research, please refer to: https://blog.nus.edu.sg/chessl/

Interested applicants are invited to apply directly at the NUS Career Portal. Please note your application will only be processed if you apply via NUS Career Portal.

NUS Career Portal link: https://careers.nus.edu.sg/job/Research-Fellow-%28Mathematics%29/33226-en_GB/

We regret that only shortlisted candidates will be notified.

Job Description

The successful candidate will work with Asst.  Prof. Julian Sester on developing mathematical methods for Distributionally Robust Reinforcement Learning.

The main responsibilities of the position include:
•    Developing rigorous mathematical foundations for distributionally robust reinforcement learning under model uncertainty; 
•    Studying robust Markov decision processes, dynamic programming principles, and convergence properties of robust learning algorithms; 
•    Designing and analysing reinforcement learning algorithms based on Wasserstein, Sinkhorn, or related ambiguity sets; 
•    Establishing theoretical guarantees such as stability, convergence, approximation error bounds, or sensitivity estimates; 
•    Implementing and testing proposed methods in numerical case studies, with possible applications in quantitative finance, stochastic control, or risk management; 
•    Preparing research manuscripts for publication in leading journals and presenting results at seminars, workshops, and conferences; 
•    Contributing to the research environment of the group, including discussions with PhD students, postdoctoral researchers, and collaborators.

Qualifications / Discipline:

•    PhD in Mathematics, Applied Mathematics, Statistics, Operations Research, Quantitative Finance, or a closely related discipline.

Skills:
•    Strong background in probability theory, stochastic processes, stochastic control, optimization, or reinforcement learning; 
•    Solid mathematical training and ability to work with rigorous proofs; 
•    Familiarity with Markov decision processes, dynamic programming, distributionally robust optimization, optimal transport, or reinforcement learning is highly desirable; 
•    Programming skills in Python are desirable, especially experience with numerical experiments, machine learning libraries, or reinforcement learning environments; 
•    Good written and oral communication skills; 
•    Ability to work independently and collaboratively in an interdisciplinary research environment. 

Experience:
•    Prior research experience in one or more of the following areas is desirable: reinforcement learning, robust control, stochastic control, distributionally robust optimization, optimal transport, mathematical finance, or machine learning; 
•    A track record of high-quality research, demonstrated through publications, preprints, or a strong PhD thesis; 
•    Experience with numerical implementation of mathematical or machine learning methods would be an advantage; 
•    Experience in quantitative finance or financial applications is welcome but not required.

Key Responsibilities:

1. Preparation of project documentation (VO/Omission including justification, progress claim and etc)
2. Assist project personnel in issuance of PO including getting comparison quote and discussion required
3. Certification of contractor’s payment claim
4. Conduct site walk to verified work done on site
5. All contract related matters
6. Closure of Project Final Account

Requirements:

• Min Diploma in Quantity Surveying
• Minimum 2 years of relevant experience in interior renovations/construction fields is an advantage
• Strong interpersonal skills
• Proactive, responsible, and able to take initiative
• Able to start work immediately
• Singaporeans / PRs only

Job Description

• Responsible for MEP Design, taking off BOQ, sourcing the quotation and prepare quotation.
• Lead the development and submission of high-quality M&E tenders, ensuring compliance with all client requirements and deadlines.
• Attend site visit for tender briefing.
• Interpretation of tender specifications, client requirement, drawings and any other relevant documents; not limited to Project Presentation, Schedule of Rates, Technical Data, Risk Assessment, Bill of Quantity and documents needed for Tender Submissions.
• Understand how to do MEP design to comply with Singapore Standard
• Liaise with suppliers and contractors to get proposals/quotations and carry out evaluation
• Conversant with Singapore building codes and regulations
• Provide guidance and support to project teams in the implementation of successful M&E practices.
• Ensure adherence to company policies and procedures throughout the tender process.

Job Requirements:

• Minin Diploma or Degree in Electrical Engineering
• At least 3 years of relevant working experience in Interior Fitting Out M&E Works
• Preferably have knowledge on how to prepare M&E technical design, technical write-up, prepare tender specifications and presentation slide for tender interviews
• Strong in Tender Presentation Skill
• Highly self-motivated, good working attitude with high level of professionalism & integrity
• Excellent written and verbal communication skills.
• This position is only open to Singapore citizens and Permanent Residents.

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

The Office of Patient Engagement (OPEN) at LKCMedicine is a dedicated Centre in Lee Kong Chian School of Medicine that integrates patient and public voices into health research and medical education, ensuring research is shaped with those who have lived experience. OPEN supports researchers and educators to embed meaningful patient and public involvement (PPI) across the research lifecycle and engages with a diverse patient partner network that collaborates on research, education, and engagement activities. Through training programmes for patient partners, researchers, clinicians, and educators, and a dedicated research programme, OPEN builds capability and fosters partnerships that strengthen the quality, relevance, and impact of health research and education, contributing to broader efforts to improve healthcare through evidence generation.

For more details, please view https://www.ntu.edu.sg/medicine/research/office-of-patient-engagement-(open). 

We are looking for a  Research Fellow or Senior Research Fellow to support the design and delivery of a structured patient and public involvement (PPI) programme for National Precision Medicine (NPM) Phase 3, in partnership with PRECISE and LKCMedicine. It contributes to building patient and public partner capability and coordinating engagement and co‑design activities that integrate patient and public perspectives into research recruitment, consent, communications, and return‑of‑results processes. Through this work, the role helps strengthen the relevance, quality, and impact of large‑scale precision medicine research.

Key Responsibilities:

• Contribute to design, data collection, analysis and interpretation of qualitative and co-design studies

• Project management of program of work, ensuring study deliverables, reports and publications are completed punctually according to study and fundingt timelines

• Perform literature searches, scoping reviews and scientific writing in the form of grants, manuscripts, reports, reviews, abstracts, posters and oral presentations

• Assist in communications with institutional review board staff regarding ethics applications, amendments, and reports

• Establish and maintain close communication with all stakeholders and study team

• Ensure all work processes meet the ethical standards of the University, Singapore Good Clinical Practice Guidelines and other applicable regulatory and ethical requirements

Job Requirements:

• PhD  degree in health services research, primary care, population health, implementation science, patient and public involvement, medical humanities, social science or related field

• At least 5 years of relevant experiences in a similar role

• Excellent written and oral communication skills, including competence in workshop and focus group facilitation, and ability to publish in high impact journals and present at local and international conferences.

• Proficiency in qualitative research, co-design, and use of related software e.g. Microsoft Suite, NVivo

• Ability to work independently, with excellent organizational and time management skills, and ability to work well within a multidisciplinary team.

• Strong leadership skills, as demonstrated by:

• Ability to build rapport and influence stakeholders at all levels

• Ability to work collaboratively in a fast-paced environment.

• Current international leadership in Asia Pacific region, or ability to generate strong networks in the Asia Pacific region.