Senior / Customer Service Associate, Group Contact Centre

As part of Group Contact Centre, the Senior / Customer Service Associate's key role is to provide Contact Centre services, such as handling of general enquiries, appointment scheduling requests, to patients and the public. You are expected to work in a fast-paced environment and be challenged with navigating complex healthcare needs. Reporting to the Institution Lead, Group Contact Centre, you will:

Job Responsibilities:

• Deliver excellent customer service to callers by understanding caller's needs
• Provide timely, accurate and appropriate information and assistance to address caller's enquiries
• Book or reschedule appointments based on caller's request
• Handle any other hotline administrative functions such as handling of emails, referral requests and emergency activation
• Coordinate and liaise with other departments in the institutions to ensure requests are followed up and resolved

Job Requirements:

• Minimum Diploma in any discipline. (Fresh graduates are welcomed)
• Preferably 1 to 2 years’ experience in healthcare industry, contact centre environment and/or service related industry
• Able to communicate fluently in English and Mother Tongue
• Able to read and write fluently in English
• Pleasant and cheerful personality with good interpersonal skills
• Able to adapt to fast pace working environment
• Computer literate and good typing skills
• Able to multi-task and work under a stressful environment
• Willing to work on rotating shifts, including PHs and weekend

Working Location:Choa Chu Kang Polyclinic / Ng Teng Fong General Hospital / The Synergy

Job description:

The National University of Singapore invites applications for the position of Visiting Associate Professor in the Department of Computer Science, School of Computing (SoC). SoC is strongly committed to research excellence in all its dimensions: Searching for fundamental results and insights, developing novel computational solutions to a wide range of applications, building large-scale experimental systems 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 Visiting Associate Professor will be responsible for teaching and research in some of these areas: computer architecture, media, database, algorithms, parallel and distributed systems, information security, etc. The Visiting Associate Professor will be responsible for lectures and relevant tutorials and labs for the courses being taught. In addition, the Visiting Associate may also be the coordinator for the course.

Job requirements:

A PhD degree in computer science or related areas. Teaching experience will generally be needed. Any familiarity and prior knowledge of courses in the School of Computing, National University of Singapore will be regarded positively.

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

Tropical Marine Science Institute (TMSI) of National University of Singapore (NUS) has an immediate vacancy in the area of regional sea level variability in the warming climate.

The ongoing Project “Understanding the low-frequency variability of coastal sea level in Southeast Asia using a regional ocean model and observations” has been funded by National Research Foundation until 31 July 2025. The successful candidate will be working with a multidisciplinary team of atmosphere and ocean scientists, and particularly be responsible for:

-running NEMO ocean model using past and projected forces provided by the atmospheric team;

-use data analysis and model simulations experiments to understand the mechanism of regional sea level variability driven by large scale atmosphere/oceanic processes.

Depending on qualifications and experience, successful Candidate could be employed at Research Fellow or Senior Research Fellow level.

Qualifications

Successful candidate will be having the following demonstrated knowledge, skills and experience:

• Understanding of regional sea level variability and large-scale atmosphere/ocean coupling;
• Understanding of mechanisms of ocean response to the climate change;
• Capability to set and run regional sensitivity experiments using NEMO ocean model;
• Capability to use data analysis methods for ocean dynamics research;
• Ability to work in multidisciplinary team of researchers, including ocean and atmosphere scientists;
• PhD in ocean sciences from a recognised University
• Track records in publications.

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.

About NUS IT

NUS Information Technology is the cornerstone to providing reliable, high-performance and secure IT solutions and effective IT governance for the campus. Here at NUS IT, we aim to transform NUS into a borderless computing community providing knowledge at its fingertips by enhancing the use of effective applications and services for teaching and learning.

We drive a culture that is forward-looking. With a strong passion for IT, our people are always striving to improve, push boundaries and innovate with a "can-do" attitude. We embrace collaboration, open communication and knowledge sharing. If you see yourself thriving in a dynamic environment and breaking new grounds with innovative ideas, you will find yourself at home in NUS IT.

As part of our team, you can look forward an empowered work environment that allows you to take charge of your own career path. We provide competitive remuneration as well as flexible work arrangements to enable your growth and development. We pride ourselves on our diverse workforce and are committed to transforming NUS into a leading global University shaping the future.

https://nusit.nus.edu.sg/

Job Description

You will be part of the End-User support team that is responsible to manage the day-to-day support for faculties, schools and departments. You will work across a broad range of technologies and liaise across multiple areas of the business to support incidents, problems and requests and be responsible for answering IT requests via phone, email and IT Ticketing System.

Duties and Responsibilities

• Supervise and manage a team of IT desktop support engineers to provide effective and timely IT desktop support, advice, guidance and timely problem resolution to achieve desired operational outcomes.
• Manage day-to-day work activities of a team, including rostering, customer experience, SLA and prioritising and allocating service tickets.
• Provide level 1.5 technical support and advice to users on EUD related issues or queries.
• Provide effective and timely day-to-day End-User device support, advice, guidance and diagnosis, and timely problem resolution.
• Maintain PCs/laptops, mobile devices, IP phone systems, printers and peripherals, etc.
• Support the use of End-User devices such as PC, laptops, tablets and mobile devices running on MS Windows, Linux, Mac OS, iOS, Android, etc.
• Support the use of IT applications such as O365, Faculty software and utility applications e.g., Adobe, Zip, etc.
• Provide technical consultation and advice to users on End-User devices.
• Work closely with technical teams to provide technical solutions.
• Assist IT Business Partner with miscellaneous administrative and management duties.

Qualifications

• Diploma in Computer Science / Information Technology / Software Engineering or equivalent.
• Minimum 5 years of working experience with 2 – 3 years of team lead experience in managing and supervising a team.
• Good knowledge on basic networks, security, printers, desktops/ laptops/mobile devices, endpoint security and imaging.
• Good experience in troubleshooting MS Windows Operating Systems, Linux, Mac OS, iOS, Android and vulnerability resolutions
• Good customer service, communications and problem-solving skills.
• Knowledge in ITIL processes will be an advantage
• Good communication skills.

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

Most of the world now live in cities. Liveable, sustainable and resilient cities are needed to face the looming challenges of climate change, the next pandemics, ageing populations and technological, social and economic disruptions such as what we are currently experiencing.

NUS Cities is a multi-disciplinary, open and inclusive collaborating platform comprising the following three pillars: education, research and advisory.

Education: Educate the next generation of students as well as current practitioners to take an urban systems approach to plan, govern, build and manage cities, using a strong case-based approach taught by both practitioners and academics.

Research: Taking a systems approach tacking some of our biggest urban challenges, and in the process, gradually developing a Science of Cities.

Advisory: Provide strategic advisory services to organisations and cities. NUS Cities will also partner other universities and research institutions locally and internationally, as well as with industry partners worldwide.

NUS Cities hence draws on the varied talent and expertise of the University in its colleges, faculties and departments and centres of excellence to drive research to better plan, manage, and govern, high-density, high-growth, sustainable, resilient, and liveable cities through an urban systems approach and systems thinking.

The full-time appointment for this Research Fellow position is for a contract period of 1 to 2 years with the possibility of renewal.

Responsibilities 

• Establish and manage large databases.
• Interpret and analyse data
• Generate reports and presentation of data to relevant stakeholders
• Generate conference presentations and papers for submission to peer reviewed journals
• Collaborate across teams, contributing to multiple research projects at once
• Work closely with research PIs to develop new research ideas and ensure the successful and timely completion of the project(s)

Qualifications

• Doctorate degree
• Candidates interested in Cities and keen to delve into any of the below research modules are strongly encouraged to apply:
  1. Climate Resilience
  2. Ageing and Health
  3. Transportation and Land Use
  4. Urban Observatory
• At least three recent and relevant good journal papers on any of the below modules:
  1. Climate Resilience
  2. Ageing and Health
  3. Transportation and Land Use
  4. Urban Observatory
• Proficient in data analysis and visualisation tools in quantitative research or any relevant software and tools
• Keen interest in Cities
• Strong background with extensive experience leading research projects would be an advantage
• Excellent written and verbal communication skills
• Resourceful and self-driven
• Adaptable and able to multitask well with clear follow-through
• Demonstrated ability to work independently and thrive in a fast-paced environment
• Commitment to the ongoing development of a positive organisational culture
• Willingness to contribute to a learning environment

The role is based in Singapore.

About Us:

At BioDefense, we aim to enhance the quality and safety of perishable foods with our cutting edge microbial safety solutions. We are looking for a passionate and motivated research intern to join our team. If you're eager to kickstart your career in a dynamic laboratory environment, we want to hear from you!

Job Summary:

As a research Intern, you will play a crucial role in the manufacturing and quality control processes of our product . You will assist in the preparation, testing, packaging and ensuring that our products meet the highest standards of quality and safety. This position is perfect for someone looking to gain hands-on experience in a laboratory setting while contributing to cutting-edge food preservation solutions.

Key Responsibilities:

- Assist in the preparation of our product according to established protocols.

- Conduct routine tests and analyses on raw materials and finished products to ensure quality standards are met.

- Maintain accurate records of production activities, including batch logs, test results, and inventory levels.

- Support the cleaning and maintenance of laboratory equipment and workspaces to ensure a safe and organized environment.

- Collaborate with senior lab staff to troubleshoot and resolve production issues as they arise.

- Follow all safety guidelines and standard operating procedures (SOPs) in the laboratory.

- Participate in team meetings and contribute to continuous improvement initiatives in the production process.

Qualifications:

- Pursuing a diploma/degree in Food Science, Biology, Chemistry, or a related field (or relevant coursework).

- Previous laboratory experience (internships, coursework, or volunteer work) is a plus but not required.

- Must be a Singapore Citizen/ PR.

- Strong attention to detail and ability to follow protocols precisely.

- Good communication and teamwork skills.

- Willingness to learn and adapt to new techniques and procedures.

- Basic computer skills for data entry and record-keeping.

How to Apply:

If you are excited about starting your career in laboratory production and making a difference in food safety, please submit your resume and interest in the position to [email protected].

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 Research Fellow in the Department of Medicine, Yong Loo Lin School of Medicine. The Department of Medicine will be working with the National University Health System Transformation Office to develop innovative care models and related research. The objective is to improve health for patients and residents both within the health system and in the community. By testing and evaluating successful interventions, high impact research will be generated that will inform the longer term of scaling and sustaining solutions for the healthcare system and beyond. Appointments will be made on a one-year basis with the possibility of extension.

Purpose of the post

The RF will work closely with the Principal Investigator to develop research based on the Transformation Office’s initiatives. In addition, the RF will work with the PI to train the team to undertake research studies.

Main Duties and Responsibilities

The RF will be expected to:

• lead the quantitative/qualitative research related to intervention evaluation
• contribute towards research protocol development
• manage the ethics application process
• mentor and deliver training sessions to junior staff (research associates, research assistants)
• supervise the collection of survey data
• perform statistical analysis on collected data, extracting meaningful insights and drawing relevant conclusions
• develop scientific papers and the dissemination of the study findings
• collaborate with researchers at the Department of Medicine

Qualifications

The applicant should:

1. hold a PhD in public health or health services research or appropriate social science discipline
2. be able to work independently and in a team, have an investigative nature, attention to detail
3. have knowledge of computer applications
4. be fluent in written and spoken English
5. good scientific writing skills as demonstrated by track records of publications in international peer-reviewed journals
6. be organized and able to prioritize workload

Remuneration will be commensurate with the candidate’s qualifications and experience. Informal enquiries are welcome and should be made to A/Prof Lim Yee Wei at [email protected] or Ms Winnie Chong at [email protected].

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

We regret 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

Tropical Marine Science Institute (TMSI) of National University of Singapore (NUS) has a vacancy in the area of storm surge and tide modelling in the warming climate.

The upcoming Project funded by a Singapore Agency for 4 years includes regional (South-East Asia, SEA) dynamical downscaling of storm surges using CMIP6 GCMs atmospheric projections for 21st century. The particular emphasis will be on storm surges trend and extremes in Singapore coastal waters. The successful candidate will be responsible for:

• setting and running DELFT3D Flexible Mesh (DELFT3D-FM) model using past and projected atmospheric forces downscaled by an atmospheric team;
• use model experiments and data analysis to compute and understand mechanisms of regional (SEA) and Singapore Strait storm surge variability and trend driven by larger scale atmosphere/ocean processes.

Candidate will be having Ph.D. in ocean/coastal sciences/engineering from a reputable University.

Depending on qualifications and experience, successful Candidate could be employed at Research Fellow or Senior Research Fellow level.

Qualifications

Successful candidate will be having the following knowledge, skills and experience:

• Understanding of mechanisms of storm surge generation and propagation at various scales, from global to local.
• Understanding of mechanisms of ocean/coastal responses to the climate change.
• Capability to set and run regional numerical experiments using DELFT3D-FM model.
• Capability to apply modern data analysis methods developed for sea level research;
• Experience with XBeach and OpenDA methods and software is an advantage;
• Ability to work in multidisciplinary team of researchers, including ocean/coastal and atmosphere scientists;
• Track records in publications.

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

A Research Assistant position is available immediately in the Li-Ren Kong and Sanjay De Mel research team. The position is funded by a thematic grant under NUS Centre for Cancer Research (N2CR) to investigate the key drivers in multiple myeloma, with the eventual goal to develop a ex vivo screening model for drug development.

Duties & Responsibilities

Research:
- Handling and processing clinical samples for genomics and proteomics analyses, including the establishment of long-term culture models for in-depth molecular characterization and functional studies.
- Organize and document experimental results systematically.
- Analyse data and summarise findings for the research team.

Administrative duties:
- Assist with lab housekeeping and administrative duties as needed.
- To maintain the N2CR Avatar portal, including registering & updating new entries and keeping track of the usage of the portal.
- To assist with administrative or ad hoc duties under the N2CR organoid interest group.

Qualifications

- Bachelor’s or Master’s degree in molecular biology or cancer biology.
- Knowledge in cell culture and basic molecular biology techniques.
- Effective communication and presentation skills, with ability to work independently.
- Prior experience on handling human patient material or organoid culture is preferred.
- Experience in laboratory management is preferred but not essential.
- Ability to communicate fluently in written and spoken English

Interested applicants should include the following documents in the job application
1) Curriculum Vitae (CV)
2) Summary of past research experience
3) Description of long-term plans
4) 3 referees including their name, contact information (email) and relationship to applicant

Job Description

The Signature Research Programme in Health Services & Systems Research (“HSSR”) in Duke-NUS Medical School is a centre of academic excellence for research and education on the organisation, funding and delivery of health services. The programme’s focus is on public health and clinical service innovation in an increasingly complex and connected world. The major research focus of HSSR is the organisation and delivery of health and social services in the context of an ageing population. The research methods include decision science and simulation modelling, survey research, qualitative research, health economics, and implementation science and evaluation. We are also developing a range of education activities for health care professionals including short courses, graduate certificates, Masters course and PhD programmes.

A Senior Research Fellow position is currently available, and the successful candidate will be expected to perform a variety of research activities which include but not limited to the following: -

• Build up an Implementation Science core in HSSR and Health Services Research Institute (“HSRI”)
• Bring in grants in collaboration with our collaborators.
• Support research activities relevant to the scope of HSSR and HSRI.
• Be responsible for project management.
• Perform other related duties incidental to the work described herein or as assigned by the supervisor.

Job Requirements

• PhD in Public Health or Health Services Research.
• Minimum 3 years of postdoctoral work experience.
• Prior experience in healthcare would be advantageous.
• Possess strong writing and critical thinking skills.
• Have excellent communication (verbal & written) and interpersonal skills.
• Action-oriented, highly motivated, and target-focused.
• Able to work both independently and as a team player in a diverse workforce.

We regret 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.

About the Centre for Quantum Technologies (CQT)

The Centre for Quantum Technologies (CQT) in Singapore brings together physicists, computer scientists and engineers to do basic research on quantum physics and to build devices based on quantum phenomena. Experts in this new discipline of quantum technologies are applying their discoveries in computing, communications, and sensing.

CQT is hosted by the National University of Singapore. The Centre also has staff at the Agency for Science, Technology and Research, Nanyang Technological University, Singapore, and the Singapore University of Technology and Design. With some 200 staff and students, it offers a friendly and international work environment

Learn more about CQT at www.quantumlah.org

Job Description

The Centre for Quantum Technologies (CQT) at the National University of Singapore (NUS), and the French-Singaporean international laboratory (Majulab), are seeking a talented postdoctoral fellow to conduct theoretical and numerical investigations on Kardar-Parisi-Zhang (KPZ) physics in quantum systems.

The KPZ equation, introduced in 1986 to describe the growth of rough surfaces, has since become a captivating area of research due to its remarkable universality. The project entails studying three quantum platforms where recent studies have shown signatures of KPZ physics: random quantum circuits, Anderson localization, and exciton-polariton condensate, as detailed in [Nahum et al., PRX 2017; Mu et al., PRL 2024; Fontaine et al., Nature 2023]. All three systems are subject to random fluctuations in their many-body degrees of freedom: (i) in the growth of entanglements in quantum circuits, (ii) in the wavefunction fluctuation of an Anderson localized system, and (iii) in the phase of a driven-dissipative condensate.

Despite being completely different, these systems are strikingly connected by KPZ physics. By following upon this unique cross-platform connection, one has the opportunity to discover new properties in each of these systems that could not have been envisaged otherwise. In this position, the fellow's primary focus will be on the latter two platforms and interact closely with another fellow dedicated to the first platform.

Job Requirements

The candidate should possess a solid academic track record and some prior experience in quantum disordered systems, quantum transport, many-body physics, quantum information, quantum fluids, or cold atoms. Proficiency in numerical simulations is essential.

The appointee will join CQT under the supervision of a group of researchers including Profs., Kwek Leong-Chuan, Hui Khoon Ng, Jiangbin Gong, Gabriel Lemarié, Maxime Richard, and Christian Miniatura. The candidate will actively contribute to all aspects of the group's operation, including co-supervising interns and PhD candidates. Salary will be competitive and commensurate with the candidate's work experience. Applicants are required to submit a detailed CV. Positions will initially be offered for 12 months with possible extension by another 12 months. The position is available from June 2024 and will remain open until filled. Shortlisted applicants should also arrange for three letters of reference.

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

A Research Engineer position is open in the research group of A/P Wang Xinchao, at the Department of Electrical and Computer Engineering, National University of Singapore (NUS). The Research Engineer will work closely with the Principal Investigator (PI) on one or more research projects. The candidate will join the research team in the areas of Deep Learning and Vision Applications.

The successful candidate is required to:

• Contribute to Dialogue, Speech Signal Processing and Machine Learning algorithms.
• Contribute to Image Processing and Machine Learning algorithms.
• Contribute to the implementation of Automatic Speech Recognition framework and development of systems.
• Contribute to the implementation of machine learning framework and development of image processing systems.
• To advance the knowledge, to publish in leading journals and conferences.
• To prepare and meet the project deliveries and milestones.

Qualifications

• Recognised degree in Bachelor / Master in Electrical Engineering, Computer Science or Computer Engineering
• Strong programming skills in one of the programming languages: C / C++, Matlab, Python
• Have prior project related experience
• Good team player and be able to work independently.
• Strong organizational, writing and interpersonal communications.
• Meticulous, able to work well under pressure and commitment to meet tight deadlines
• Open to fixed-term contract.

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 Institute for Functional Intelligent Materials (I-FIM) is seeking a researcher to investigate the application of scientific machine learning algorithms to develop an equation of state for dynamical systems out of equilibrium, with a focus on polymers under elongational flow. The role involves analysing large datasets from simulations and experiments to uncover patterns that traditional models may miss, aiming to enhance predictive capabilities for polymer behaviour. The work will be undertaken in collaboration with experts in algorithm development and experimental data collection and analysis. Additionally, the researcher will study the extension of developed framework to model multi-pendulum systems, exploring complex dynamics relevant to robotics and climate science. Findings will be disseminated through peer-reviewed journals, and the developed code will be made publicly available on GitHub.

Job Requirements

• Development of in the loop optimisation processes
• Ability to develop custom or apply state-of-the-art computer vision algorithms (CNN, AE, etc)
• Data cleaning, augmentation and dimension reduction
• Ability to work with common Python ML libraries (scikit-learn, tensorflow 1 & 2, pytorch), develop custom neural networks and implement classification and regression algorithms
• Interdisciplinary collaboration with researchers and scientists from different academic backgrounds
• Experience working in organic laboratories
• Knowledge of working with microfluidics platforms

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 Assistant in the Department of Computer Science, School of Computing. The School of Computing is strongly committed to research excellence in all its dimensions: Searching for fundamental results and insights, developing novel computational solutions to a wide range of applications, building large-scale experimental systems 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 Assistant will be responsible for working closely with the Principal Investigator and lab members on one or more research projects. He/she should possess experience or interest in the area of machine learning.

Qualifications

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

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

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

We regret that only shortlisted candidates will be notified.

Job Description

Tropical Marine Science Institute (TMSI) of National University of Singapore (NUS) has an immediate vacancy in the area of regional sea level variability in the warming climate.

The ongoing Project “Understanding the low-frequency variability of coastal sea level in Southeast Asia using a regional ocean model and observations” has been funded by National Research Foundation until 31 July 2025. The successful candidate will be working with a multidisciplinary team of atmosphere and ocean scientists, and particularly be responsible for:

-running NEMO ocean model using past and projected forces provided by the atmospheric team;

-use data analysis and model simulations experiments to understand the mechanism of regional sea level variability driven by large scale atmosphere/oceanic processes.

Depending on qualifications and experience, successful Candidate could be employed at Research Fellow or Senior Research Fellow level.

Qualifications

Successful candidate will be having the following demonstrated knowledge, skills and experience:

• Understanding of regional sea level variability and large-scale atmosphere/ocean coupling;
• Understanding of mechanisms of ocean response to the climate change;
• Capability to set and run regional sensitivity experiments using NEMO ocean model;
• Capability to use data analysis methods for ocean dynamics research;
• Ability to work in multidisciplinary team of researchers, including ocean and atmosphere scientists;
• PhD in ocean sciences from a recognised University
• Track records in publications.

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 team of Prof Loh Kian Ping invites application for a postdoctoral fellow/research fellow working in condensed matter physics and two dimensional (2-D) materials devices. A major research thrust is the synthesis and investigation of artificially engineered heterostructures of quantum materials synthesized by molecular beam epitaxy (MBE) with strong electron correlations which allow new emergent states to be created at the interface.

Requirements

The candidate should have a PhD in Physics and have experience in operating

1. Angle resolved photoemission spectrometer, and the collection and interpretation of results arising
2. Experience in the molecular beam epitaxy growth of 2D topological materials
3. UHV-scanning tunnelling microscopy/Q plus AFM

The candidate should have a strong track record in surface physics or condensed matter physics.

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

Summary of Role:
The candidate in this role is responsible for planning the supply of spare/maintenance/consumable parts to maintain optimum inventory levels (consumables, spares, etc.) and ensure the efficient running of the center. His other roles are being ISO certified and working on End Users Certifications (EUC).

Essential Responsibilities include:

• Plan and schedule Spare parts requirements based on demand plan/material requirement requests from Fabs.
• Regularly review inventory levels for specific categorization of materials.
• Regular monitoring of critical materials to ensure uninterrupted manufacturing.
• Coordinate with warehouse/logistics to ensure accurate inventory levels and stock availability.
• Publish essential spare parts metrics/KPIs to management on a timely basis.
• Derive the material requirement plan based on the master production schedule to procure and source.
• Good Knowledge of Inventory management.
• Oversee the department R&M/Chemicals, etc. stores – upkeep with house-keepings, periodic cycle counts.
• Maintain the inventory database, ensuring timely and accurate recordings.
• In charge of day-in-day-out logistics operations.
• Coordinate with and on the movement of materials.
• Must work closely with operation teams on the center's logistic needs.
• Ensure to adhere to zero safety requirements.
• Work on continuous improvement program in logistics operations.
• Ability to work in a multi-task environment.
• Providing day-to-day operations in FAB production material planning, inventory management, and procurement.
• Planned and monitored production schedule in the high-mix, low-volume environment (HMLV).
• Collaborate across departments in the planning process to plan and purchase materials requirements and meet the production plan effectively.
• Follow through with the orders from the start till delivery and ensure that goods are delivered on time.
• Ability to work in a multi-task environment.

Other Responsibilities:

• Perform all activities safely and responsibly and support all Environmental, Health, Safety & Security (EHS) requirements and programs.
• Support ISO certification and across suppliers' EUC requirements
• Support internal audit program by conducting ISO9001/TS16949 audits, gap analysis, and corrective action implementation
• Research best practices and conduct benchmarking related to QMS processes, methods, and tools
• Based upon the overall Quality System performance, identify critical systems or processes where quality improvements are required, initiate projects or activities to analyze, evaluate and propose solutions to address the problem and improve performance

Required Qualifications:

• Minimum of 5 years of professional experience in procurement, consulting, program management, and supply chain & inventory
• Direct experience in pricing and contract negotiations, supplier relationship management, business strategy, contract manufacturing/outsourcing, and continuous process improvement
• Communicate complex information clearly and concisely.
• Develop and maintain collaborative business relationships with stakeholders and align ISO/EUC requirements for the program.
• Interact with all levels of the organization.
• Perform in a very fast-paced environment.

Summary of Role:
The candidate in this role is responsible for planning the supply of spare/maintenance/consumable parts to maintain optimum inventory levels (consumables, spares, etc.) and ensure the efficient running of the center. His other roles are being ISO certified and working on End Users Certifications (EUC).

Essential Responsibilities include:

• Plan and schedule Spare parts requirements based on demand plan/material requirement requests from Fabs.
• Regularly review inventory levels for specific categorization of materials.
• Regular monitoring of critical materials to ensure uninterrupted manufacturing.
• Coordinate with warehouse/logistics to ensure accurate inventory levels and stock availability.
• Publish essential spare parts metrics/KPIs to management on a timely basis.
• Derive the material requirement plan based on the master production schedule to procure and source.
• Good Knowledge of Inventory management.
• Oversee the department R&M/Chemicals, etc. stores – upkeep with house-keepings, periodic cycle counts.
• Maintain the inventory database, ensuring timely and accurate recordings.
• In charge of day-in-day-out logistics operations.
• Coordinate with and on the movement of materials.
• Must work closely with operation teams on the center's logistic needs.
• Ensure to adhere to zero safety requirements.
• Work on continuous improvement program in logistics operations.
• Ability to work in a multi-task environment.
• Providing day-to-day operations in FAB production material planning, inventory management, and procurement.
• Planned and monitored production schedule in the high-mix, low-volume environment (HMLV).
• Collaborate across departments in the planning process to plan and purchase materials requirements and meet the production plan effectively.
• Follow through with the orders from the start till delivery and ensure that goods are delivered on time.
• Ability to work in a multi-task environment.

Other Responsibilities:

• Perform all activities safely and responsibly and support all Environmental, Health, Safety & Security (EHS) requirements and programs.
• Support ISO certification and across suppliers' EUC requirements
• Support internal audit program by conducting ISO9001/TS16949 audits, gap analysis, and corrective action implementation
• Research best practices and conduct benchmarking related to QMS processes, methods, and tools
• Based upon the overall Quality System performance, identify critical systems or processes where quality improvements are required, initiate projects or activities to analyze, evaluate and propose solutions to address the problem and improve performance

Required Qualifications:

• Minimum of 5 years of professional experience in procurement, consulting, program management, and supply chain & inventory
• Direct experience in pricing and contract negotiations, supplier relationship management, business strategy, contract manufacturing/outsourcing, and continuous process improvement
• Communicate complex information clearly and concisely.
• Develop and maintain collaborative business relationships with stakeholders and align ISO/EUC requirements for the program.
• Interact with all levels of the organization.
• Perform in a very fast-paced environment.

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 team of Prof Loh Kian Ping invites application for a postdoctoral fellow/research fellow working in condensed matter physics and two dimensional (2-D) materials devices. A major research thrust is the synthesis and investigation of artificially engineered heterostructures of quantum materials synthesized by molecular beam epitaxy (MBE) with strong electron correlations which allow new emergent states to be created at the interface.

Requirements

The candidate should have a PhD in Physics and have experience in operating

1. Angle resolved photoemission spectrometer, and the collection and interpretation of results arising
2. Experience in the molecular beam epitaxy growth of 2D topological materials
3. UHV-scanning tunnelling microscopy/Q plus AFM

The candidate should have a strong track record in surface physics or condensed matter physics.

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

As a University of Applied Learning, SIT works closely with industry in our research pursuits. Our research staff will have the opportunity to be equipped with applied research skill sets that are relevant to industry demands while working on research projects in SIT.

The primary responsibility of this role is to deliver on an industry innovation research project where you will be part of the research team to develop a first-of-its kind AI-assisted integrated NDT verification system for reusability of structural steel with accuracy of ±10% at confidence level of 95%. The key innovation is to use AI to analyse a bigger data set and build a multi-parameter machine learning (ML) model that integrate the complex mechanical properties obtained from DT and the electric/magnetic permeability data obtained from NDT to predict the critical material characteristics of reusable steels.

Key Responsibilities

• Participate in and manage the research project with Principal Investigator (PI), Co-PI and the research team members to ensure all project deliverables are met.
• Undertake these responsibilities in the project:
  1. Establishing test result database: Conducting both DTs and NDTs on the same samples to create a comprehensive dataset for AI model development, managing data collection processes on-site at the collaborator’s factory, and ensuring the accuracy and integrity of the collected data.
  2. Developing statistical model: Utilizing DT results to develop statistical models for estimating mechanical characteristics based on normal distribution and analyzing statistical data to support model development.
  3. Developing and verifying the AI model: Developing various regression models and evaluate their feasibility and suitability, conducting model fitting and verification phases using training and test datasets and ensuring the selected model meets the accuracy criteria (±10% at 95% confidence) for individual mechanical characteristics and overall classification results (grade determination).
  4. Validation of the method: Implementing the proposed method and AI model in test bedding cases, measuring the impact of the method in terms of time and cost savings and developing implementation guidelines based on validation results.
• Carry out Risk Assessment, and ensure compliance with Work, Safety and Health Regulations.
• Coordinate procurement and liaison with vendors/suppliers.
• Work independently, as well as within a team, to ensure proper operation and maintenance of equipment.
• Publish research findings in peer-reviewed journals and present at conferences.
• Assist in the preparation of project reports, proposals, and documentation.

Requirements

• Have relevant competence in the areas of structural engineering, material science, statistics and programming basics.
• Have a degree in Civil Engineering, Mechanical Engineering or Material Science. Possessing a Master’s or PhD degree will be advantageous.
• Knowledge of AI / ML and common ML programming languages will be advantageous.

Key Competencies

• Able to build and maintain strong working relationships with people within and external to the university.
• Self-directed learner who believes in continuous learning and development
• Proficient in technical writing and presentation
• Possess strong analytical and critical thinking skills
• Show strong initiative and take ownership of work
• Able to carry out data preprocessing, develop statistical and regression models.
• Possess knowledge of the mechanical properties of structural steel and factors affecting its performance
• Able to prioritize tasks, meet deadlines, and manage multiple responsibilities.

Chugai Pharmabody Research Pte. Ltd. (“CPR”) was established in Singapore as a wholly-owned subsidiary of Chugai Pharmaceutical Co., Ltd (Chugai), a member of Roche group, in January 2012 and started operations on July 2, 2012. Located at Biopolis in Singapore, it aims to generate new antibody drugs based on Chugai’s proprietary antibody engineering technologies, such as recycling antibody®, sweeping antibody®, bispecific antibody, various Fc engineered antibodies, and other new antibody engineering technologies that are under development.

Senior Research Support Officer in Research Support Unit

Facility Management:

• Establish short term (1 – 3 years) and long term (5 years and above) facility management plan to be in line with company’s business continuity plan.
• Establish the facility monitoring system in cooperation with external vendors.
• Conduct facility management, such as repair works and maintenance works, in cooperation with external vendors.
• Arrange the relocation of lab and equipment in line with research activities.
• Schedules and oversees the use of space, resources, and lab/equipment in line with research activities.

Requirements:

• General degree with minimum 8 years of facility management experience in the life science industry.
• Business proficiency in Japanese Language is a must to liaise with Japanese speaking colleagues and clients.
• Proficient in Microsoft Office Applications such as Word, Powerpoint, Excel, Outlook, Forms etc.

Interested applicants are invited to apply with their detailed resume, qualifications, availability, current and expected salary.

For more information regarding our Company, you may refer to our website at:

http://chugai-pharmabody.com/

We regret that only short-listed candidates will be notified

Job Description:

We are looking for an Investment Research Intern to join our investment team. This role is perfect for fresh graduates or undergraduate students who are eager to dive into investment research (e.g. style factors), financial data analysis, and uncover its unique characteristics compared to other industries. The ideal candidate will have a passion for financial investment research (in stocks and futures), data and portfolio performance analysis, an analytical mindset, and a keen interest in the financial sector. We are seeking candidates with strong analytical skills, problem-solving abilities, and programming experience, particularly in maintaining and refining existing Python code.

Responsibilities:

• Assist in conducting investment research (e.g. factor research) using Python and/or spreadsheets.
• Utilize statistical methods and/or visualisation techniques to present findings clearly and compellingly.
• Support the investment team in preparation of presentation materials for internal discussions.
• Maintain and update existing data cleansing, investment portfolio construction and performance analysis codes written in Python.

Requirements:

• Currently pursuing or recently completed a degree in (Quantitative) Finance, Economics, Statistics, Computer Science, or a related field.
• Strong analytical abilities, data manipulation skills, and a passion for working with data.
• Proficiency in Python, preferably with a focus on writing structured, class-based code.
• Self-motivated, eager to learn, and enthusiastic about new technologies.
• Experience in SQL is a plus.

Additional Notes:

• This internship offers a great opportunity to gain hands-on experience in financial data analysis and contribute to impactful projects.
• You will have the chance to work with seasoned investment professionals, gaining valuable insights and experience in the financial industry.
• The internship period will be for 3 months with a possible 3-month extension based on performance outcomes.

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 staff would lead at least one project under supervision of the Principle Investigator (PI).

• The scope of the project is on biomass valorization for either aviation fuel production or transformation into advanced materials.
• Develop a well justified approach to achieve a goal, once a problem statement and/or a research scope is defined by the PI and the staff.
• Executive the plan experimentally and interpret the data critically.
• Report to the PI proactively and take the initiative to propose changes to the plan when the project faces a technical challenge.
• Draft manuscripts and attend conferences to publicize the project findings.
• Support other team members and train junior colleagues.
• Draft research proposal together with the PI.

Qualifications

A well-qualified candidate should:

(1) be passionate about research;

(2) have a Bachelor’s degree in Chemical Engineering, Chemistry, or a similar/equivalent discipline;

(3) be an expert of chemical conversion of natural and synthetic polymers;

(4) command both spoken and written English at professional level;

(5) be a good team player;

(6) excellent publication record in related areas.

Product area

The Go-to-Market Operations (GtM) team ensures Google's complex and ever-evolving Ads business runs smoothly. We are instrumental in setting go-to-market strategy, and ensuring flawless execution and operations against the strategy. We have teams embedded in each of the major Ads business areas as well as global teams that work across the business areas. Team members are analytical and strategic, with a pragmatic sense of how to get things done.

Job description

The Business Strategy & Operations organization provides business critical insights using analytics, ensures cross functional alignment of goals and execution, and helps teams drive strategic partnerships and new initiatives forward. We stay focused on aligning the highest-level company priorities with effective day-to-day operations, and help evolve early stage ideas into future-growth initiatives.

Additional job description

In this role, your knowledge of online media measurement combined with your communication skills and problem-solving skills shapes how new and existing businesses grow. Using your influencing and relationship-building skills, you provide Google-caliber client service, research and market analysis. You anticipate how decisions are made, explore and uncover the business needs of Google's key clients and understand how our range of product offerings can grow their business. You set the direction and the strategy for how their advertising can reach thousands of users.

Working within the Go-to-Market (GTM) organization, you will create and execute effective go-to-market plans that include delivering ad products that satisfy users and advertisers, equipping activation specialists and sales teams to drive adoption and use of those products, whilst also collaborating with Global Product Leads to provide feedback and insights that improve our products and drive further innovation.

You will partner with and influence sales teams and communities to drive adoption and growth of our Google Ads Solutions with a focus on App Ads. This will include building partnerships at various levels of the organization, with particular focus on partnering with Global Product Leads and Specialist Sellers.

Qualifications

Job responsibilities

• Create and execute the Asia-Pacific (APAC) Go-to-Market strategy for Google Ads Solutions. Partner with cross functional teams to develop and execute regional programs and initiatives.
• Drive adoption of key products by influencing and equipping business specialists, communities, and pods across the organization.
• Identify gaps in products and build business cases based on advertiser needs. Partner with Global Product Leads on the product roadmap.
• Engage and influence senior stakeholders and cross functional partners to obtain support for strategies or activation programs.

Minimum qualifications

• Bachelor's degree or equivalent practical experience.
• 4 years of experience in management consulting, operations, business strategy, investment banking, venture capital, private equity or corporate advisory, or 2 years of experience with an advanced degree.

Preferred qualifications

• MBA or Master's degree in a Business Management, Technical or Engineering field.
• Experience working in, or with Asia-Pacific markets, with knowledge of mobile app or mobile ads business.
• Experience with Apps Ads solutions.
• Ability to manage multiple work-streams in a fluid environment while paying close attention to detail.
• Excellent written and verbal communication and problem-solving skills, with the ability to communicate with stakeholders of varying seniority levels.

As an Associate Product Strategy – Lending and Enterprise AI , you will play a pivotal role in shaping the future of our Lending and Enterprise AI solutions. You will be responsible for conducting in-depth research on Lending solutions and AI : Competitor products, market trends, and technological advancements. Your insights will drive product development, innovation strategies, and overall product roadmap. This role requires a deep understanding of AI, lending processes – Corporate and Retail, and financial services, coupled with a passion for driving innovation through data-driven insights.

Key Responsibilities:

• Competitive Analysis:
  • Conduct in-depth research on competitor products, platforms, and innovations in the lending space and AI
  • Benchmark competitors on key metrics such as features, pricing, market penetration, AI capabilities, and regulatory compliance.
  • Analyze competitors' go-to-market strategies, customer base, and partnerships to identify strengths, weaknesses, and opportunities.
  • Stay up-to-date with emerging trends in AI, machine learning, and fintech related to corporate lending.
  • Market Intelligence:
  • Track and report on emerging trends and technologies in enterprise AI, corporate credit risk assessment, and loan origination.
  • Identify new entrants and disruptive technologies that could impact the competitive landscape.
  • Synthesize industry reports, regulatory updates, and technological advancements to support strategic decision-making.
• Product Insights and Recommendations:
  • Translate competitive research into actionable insights for product management, engineering, and leadership teams.
  • Recommend strategic product improvements, feature developments, or pivots based on competitor positioning.
  • Assist in the development of competitive differentiators to enhance the company’s AI and lending offerings.
• Collaboration and Reporting:
  • Collaborate with product managers, data scientists, and business teams to integrate competitor insights into the product development process.
  • Produce regular reports on competitor activities, product updates, and market shifts to inform internal stakeholders.
  • Present research findings to senior leaders, product teams, and cross-functional teams to guide product strategy and innovation.
• Data Analysis:
  • Utilize data analytics tools to monitor and assess competitor product performance, AI model effectiveness, and customer feedback.
  • Evaluate user experience, technological stacks, and AI model maturity of competitors’ solutions.
  • Collect and analyze quantitative and qualitative data to identify gaps in the market that the company’s AI solutions can exploit.

Required Qualifications:

• Bachelor’s degree in Technology, or a related field. Advanced degree (Master’s/PhD) in Product Management, Strategy, ML& AI or any other relevant field is preferred.
• Atleast 6 months of experience in product research, market intelligence, or competitive analysis in AI-driven financial services, fintech, or enterprise technology.
• Strong knowledge of corporate/retail lending processes, enterprise AI, and emerging fintech trends.
• Proven experience in competitor analysis and market research in AI and financial technology sectors.
• Strong understanding of AI/ML technologies and their applications in corporate lending (e.g., credit scoring, loan origination, risk management).
• Ability to synthesize complex information and trends into clear, concise research reports and recommendations.
• Strong analytical skills with experience in data analysis, AI model evaluation, and competitive intelligence frameworks.
• Excellent written and verbal communication skills, with the ability to present research insights to diverse audiences.
• Familiarity with market research tools, databases, and competitor analysis methodologies (SWOT, PESTLE, etc.).
• Experience with financial regulations and compliance standards affecting AI products in corporate lending is preferred.
• Understanding of the AI product development lifecycle and its application in enterprise software solutions is preferred.