About the Role:

An exciting opportunity has arisen to join our Cloud Infrastructure Platform and Solutions (CIPS) Research Team. Our CIPS Research team is focused on developing future technology systems to support growth in the rapidly evolving data center industry. The successful candidate will be directly involved in early-stage research projects, working with academic institutions, suppliers, customers, and partners to deliver proof of concept designs.

Key Responsibilities:

• Monitor market trends and research to identify breakthrough opportunities in power architectures and converter topologies for data centers.
• Drive technical excellence across design, modelling, simulation, prototyping and performance testing of new power conversion topologies, control schemes and components.
• Oversee critical design reviews and own technical project direction.
• Represent the company as a subject matter expert when engaging with suppliers, customers, and partners.
• Help to create, review and improve research project processes, from idea creation to project transfer deliverables.
• Identify the skills needed in the team and support recruitment of suitable engineers.
• Work with a commitment to continuous improvement, transparency, and technical expertise.
• Work as a hands-on individual contributor, researching key topics and delivering ideas, designs, and documentation.

Requirements:

• PhD or Master’s degree in Electrical / Electronic Engineering or related field.
• 5+ years’ experience in power electronics research, with increasing mentorship responsibilities.
• Expertise in power electronics, including common topologies, magnetics, control schemes and components.
• Experience with architecture drawings, electronic schematics, component datasheets and PCB layout drawings.
• Knowledge of embedded software (C/C++) and coding practices is preferred.
• Hands-on prototyping and testing experience using oscilloscopes, electronic loads and power analysers.
• Familiarity with SiC/GaN devices, EMI, HVDC, solid state transformers, thermal design and regulatory standards.
• Expertise in using simulation tools (MATLAB, Simulink, LTspice, Python, etc).
• Strong analytical, problem-solving, leadership and communication skills.
• Demonstrated passion for innovation and commitment to continuous learning.

Why Join Us:

• Work in a world-class R&D environment with well-equipped labs, top-tier industry connections and collaborative teams.
• Shape the future of energy-efficient data storage and AI cloud computing – from renewable energy integration to next generation infrastructure.
• Opportunities to publish, patent and innovate designs for future products.
• Competitive compensation, research autonomy and a continuous learning culture.

• Working Hours: 8:30 am to 5:30 pm (Monday to Friday)
• Flexi work arrangement (Core working hours is 11am - 3pm)
• AWS + Variable Bonus Provided
• Working location: Buona Vista

Research Support Office (Secretary, Pharmaceutical company)

■Executive Assistant to CEO and Administration Head:

• Provide full spectrum of secretarial support to CEO and Administration Head including but not limited to calendar management, coordination of meetings, travel arrangements, preparation of presentation materials and expense claims.

• Coordinate and liaise with internal and external parties for all meetings and conferences arranged.

• Support in preparation of manuscripts (e.g. media interview, review, textbook).

• Ad-hoc duties as and when required.

■Administrative tasks and Office Management:

• Preparation of invoices and documents.

• Coordinate with internal and external parties on documentations and delivery of items.

• Ordering of materials needed for shipment such as dry ice, boxes and etc.

• Prepare various reports as and when needed by the management.

• Provide secretarial and administrative support to the various research committees

• Handle general office administration such as setting up meeting rooms which includes setting up of video and teleconferencing.

• Provide administrative support to HR team on interview arrangements and safe travel entry applications when required

• Ad-hoc general administrative support as and when required.

Job Requirements:

• Degree holder of any discipline with minimum 1 year of secretarial experience in the sciences/ pharmaceutical/ medical related industry.

• Related experiences in providing secretarial support to various institutional reviews

• Experienced in reading and extracting literature reviews from medical articles.

• Proficiency in Japanese Language is a must to liaise with Japanese speaking employees, external clients and Japan HQ.

Interested applicants, please send your resume to Tiffany Koh (R1104633) with email subject header "Job Application for Research Support Office (Secretary, Pharmaceutical company) - TK " .

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 haver ead 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.

Please find our Privacy Policy Agreement from the below link.

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

Thank you for your kind understanding and co-operation.

Pasona Singapore Pte Ltd

EA LicenseNo:90C4069

R1104633

Koh Jia Wen

The Academic Instructor is required to teach the courses in the undergraduate programs offered by the University at Buffalo, The States University of New York, US, in partnership with Singapore Institute of Management in Singapore.

The roles would include:
• Creation of course design and materials, and implementation of syllabus to meet UB learning objectives;

• Delivery of student-centered, interactive course curriculum, including supervision of project work;

• Create, administer, and mark assessment instruments;

• Evaluate student progress and achievements;

• Hold regular consultation hours;

• Maintain and submit academic records.

Job Requirements:

• A Ph.D or Master's Degree in the exact discipline as specified by the teaching assignment from a nationally or regionally (USA) accredited university is required;

• Terminal degree is preferred;

• At least 2 years of relevant full-time teaching experience in the exact discipline as specified by the teaching assignment at the tertiary level is required;

• Ability to independently operate all class level functions of Blackboard classroom management system, including Grade Center is required;

• Substantial evidence of an active academic research agenda and recent history of publication(s) in peer-reviewed scholarly journal(s) are strongly preferred;

• Available to teach during daytime on weekdays.

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

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