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

This job provides you with the opportunity to develop skills in collecting primary data as well as handling large datasets, data analysis, and causal inference. It is a good opportunity to learn and build your skills in fieldwork and data analysis. If you are interested in a future career in data analytics or graduate studies in economics, this research assistantship will also give you the relevant training and exposure.

This is a full-time position from June 2025 on a one-year renewable contract.

In accordance with the terms of the project funding, applicants with Singapore citizenship and permanent residence will be preferred.

Job Responsibilities

The Research Assistant (RA) will assist Professor Ivan Png in applied microeconomic research. Duties include compiling data from primary and secondary sources, analysis and programming, algebraic analysis, reviewing research, and writing. Current projects include the productivity of foreign workers and taxi drivers (https://bizfaculty.nus.edu.sg/productivity/)

Qualifications and Skills

• Honours degree in economics, business, or related discipline.
• Skilled in programming and statistics.
• Willing to work independently, in the field and office.

More Information

Please apply with subject "NUS full-time RA [Your name]" and with your transcript and resume (please label your attachments as [YourName]_ [Transcript/Resume]).

About Salesforce

We’re Salesforce, the Customer Company, inspiring the future of business with AI+ Data +CRM. Leading with our core values, we help companies across every industry blaze new trails and connect with customers in a whole new way. And, we empower you to be a Trailblazer, too — driving your performance and career growth, charting new paths, and improving the state of the world. If you believe in business as the greatest platform for change and in companies doing well and doing good – you’ve come to the right place.

Salesforce AI Research is looking for outstanding research scientists.Do you want to be at the forefront of a team at Salesforce that is making history? Do you want to research and develop new technology and science that millions of CRM customers will use? Are you excited about working on large-scale Generative AI, Natural Language Processing (NLP), and Deep Learning?At Salesforce, we have launched Einstein GPT, the world’s first Generative AI for CRM, which delivers AI-created content across every sales, service, marketing, commerce, and IT interaction at hyper-scale. With Einstein GPT, Salesforce can transform every customer experience with generative AI.

Research scientists at Salesforce discover new research problems, develop novel models, design careful experiments, and advance the state of the art in AI. The research team is committed to collaboration with the wider research community. At Salesforce AI Research, we innovate by publishing at top academic conferences and filing patents. We embed our research work across Salesforce products for the worlds #1 AI CRM. We gain perspectives from product to research that help guide future directions. We believe that making substantive progress on hard applications can drive and sharpen the research questions we study, and in turn, scientific breakthroughs can spawn entirely new applications. Research scientists have the opportunity to switch between pure and applied research. Check out our website to learn more about the groundbreaking work of the Salesforce AI Research team: https://www.salesforceairesearch.com/

Candidates have a strong background in one or more fields: Natural Language Processing, Large Language Modeling, Reinforcement Learning, or Machine Learning in general.

Responsibilities:

• Own and pursue ambitious, long-term research goals.
• Develop solutions for real-world, large-scale problems.
• As needed lead teams to deliver on more complex pure and applied research projects such as AI for Operational Efficiency and AI for Software

Minimum qualifications:

• Ph.D./Master’s degree in computer science, artificial intelligence, machine learning, or a related technical field.
• Strong publication record in top AI venues like NeurIPS, ICML, ICLR, ACL, EMNLP etc.
• Experience with one or more general-purpose programming languages, including but not limited to C/C++ or Python.
• Experience with one or more deep learning libraries and platforms (e.g., TensorFlow, Jax, or PyTorch).
• Proven ability to implement, operate, and deliver results via innovation at a large scale.

Preferred qualifications:

• 1+ years of full-time industry experience in deep learning research/product.
• Strong experience building and applying machine learning models for business applications.
• Experience training large language models.
• Experience mentoring and advising other researchers.
• Strong programming skills, competitive in ACM-ICPC or other competitions or open source experience is preferred.
• Experience in implementing high-performance and large-scale deep learning systems.
• Thoughtful about AI impacts and ethics.
• Fantastic problem solver; ability to solve problems the world has not solved before.
• Excellent written and spoken communication skills.
• Demonstrated track record of cultivating strong working relationships and driving collaboration across multiple technical and business teams.

About Salesforce

We’re Salesforce, the Customer Company, inspiring the future of business with AI+ Data +CRM. Leading with our core values, we help companies across every industry blaze new trails and connect with customers in a whole new way. And, we empower you to be a Trailblazer, too — driving your performance and career growth, charting new paths, and improving the state of the world. If you believe in business as the greatest platform for change and in companies doing well and doing good – you’ve come to the right place.

Salesforce AI Research is looking for outstanding research scientists.Do you want to be at the forefront of a team at Salesforce that is making history? Do you want to research and develop new technology and science that millions of CRM customers will use? Are you excited about working on large-scale Generative AI, Natural Language Processing (NLP), and Deep Learning?At Salesforce, we have launched Einstein GPT, the world’s first Generative AI for CRM, which delivers AI-created content across every sales, service, marketing, commerce, and IT interaction at hyper-scale. With Einstein GPT, Salesforce can transform every customer experience with generative AI.

Research scientists at Salesforce discover new research problems, develop novel models, design careful experiments, and advance the state of the art in AI. The research team is committed to collaboration with the wider research community. At Salesforce AI Research, we innovate by publishing at top academic conferences and filing patents. We embed our research work across Salesforce products for the worlds #1 AI CRM. We gain perspectives from product to research that help guide future directions. We believe that making substantive progress on hard applications can drive and sharpen the research questions we study, and in turn, scientific breakthroughs can spawn entirely new applications. Research scientists have the opportunity to switch between pure and applied research. Check out our website to learn more about the groundbreaking work of the Salesforce AI Research team: https://www.salesforceairesearch.com/

Candidates have a strong background in one or more fields: Natural Language Processing, Large Language Modeling, Reinforcement Learning, or Machine Learning in general.

Responsibilities:

• Own and pursue ambitious, long-term research goals.
• Develop solutions for real-world, large-scale problems.
• As needed lead teams to deliver on more complex pure and applied research projects such as AI for Operational Efficiency and AI for Software

Minimum qualifications:

• Ph.D./Master’s degree in computer science, artificial intelligence, machine learning, or a related technical field.
• Strong publication record in top AI venues like NeurIPS, ICML, ICLR, ACL, EMNLP etc.
• Experience with one or more general-purpose programming languages, including but not limited to C/C++ or Python.
• Experience with one or more deep learning libraries and platforms (e.g., TensorFlow, Jax, or PyTorch).
• Proven ability to implement, operate, and deliver results via innovation at a large scale.

Preferred qualifications:

• 1+ years of full-time industry experience in deep learning research/product.
• Strong experience building and applying machine learning models for business applications.
• Experience training large language models.
• Experience mentoring and advising other researchers.
• Strong programming skills, competitive in ACM-ICPC or other competitions or open source experience is preferred.
• Experience in implementing high-performance and large-scale deep learning systems.
• Thoughtful about AI impacts and ethics.
• Fantastic problem solver; ability to solve problems the world has not solved before.
• Excellent written and spoken communication skills.
• Demonstrated track record of cultivating strong working relationships and driving collaboration across multiple technical and business teams.

We are in search of a highly motivated and accomplished Research Fellow to join our team and significantly contribute to our upcoming research project "Empowering Real-World 3D Scene Understanding: Navigating Noise, Distribution Shifts, and Incremental Learning". The successful candidate will collaborate closely with our research team, working on the development of ground-breaking algorithms and methodologies for Real-world 3D scene understanding problems. This role offers an exciting opportunity to engage in cutting-edge research and have a substantial influence on the field.

Responsibilities:

• Undertake research in the field of real-World 3D scene understanding.
• Design and execute experiments to validate the proposed approaches.
• Analyze and interpret data sourced from inputs, including images or point clouds.
• Stay up-to-date with the latest advancements in real-world 3D scene understanding and related fields, and integrate new findings into research projects.
• Prepare research papers for publication in prestigious conferences and journals.
• Deliver presentations on research findings at conferences and other pertinent events.

Qualifications:

• A doctoral degree in Computer Science, Electrical Engineering, or a related discipline, with a specialization on computer vision and machine learning.
• A strong background in computer vision, machine learning, and 3D geometry.
• Proficiency in programming languages such as Python, C++, or MATLAB.
• Experience with relevant software libraries and frameworks, such as Pytorch, OpenCV, or PCL.
• A solid grasp of mathematical concepts related to 3D computer vision, including geometry, optimization, and statistical methods.
• A proven track record of publishing research papers in esteemed conferences or journals.
• Excellent problem-solving and analytical abilities.
• Strong communication skills and the capability to work effectively in a collaborative research environment.

We are inviting applicants for the position of Research Fellow to work on projects at the intersection of artificial intelligence, engineering, and design. The successful candidate will work with researchers from other domains to implement multimodal deep learning models with language, spatial and geometric datasets across the design scales of products, buildings and cities.

Requirements:

• Strong mathematical and data science knowledge
• Strong deep learning programming skills
• Strong interdisciplinary approach in working with large-scale and real-world datasets.
• Strong knowledge in innovation and entrepreneurship

The candidate should hold a PhD in AI, computer science, mathematics, data science, or other related field.

Job Title: Postdoctoral Researcher (3D-printed Injection Molds)

Scope of the Research:

The project aims to investigate the feasibility of fabricating 3D-printed moulds for injection moulding. The objective of the project includes:

• To identify materials and additives used for the process
• To fabricate well-defined micro and nanostructures by additive manufacturing
• To fabricate hierarchical structures with well-defined inner morphologies

• To characterize the properties of the fabricated structures
• To automate the fabrication process
• To modify or develop instruments applicable to the developed process

The researcher will work in an interdisciplinary research team consisting of electrical, chemical, and biomedical engineers, chemists, and materials scientists.

Qualification, Skills, and Experiences:

• PhD (for postdocs) or M.S./B.S. (for research assistants) in chemistry, materials sciences and/or related fields • Experiences in digital fabrication (3D printing, laser cutting, fluid dispensing)
• Experiences in the design and manufacturing of scientific instruments
• Experiences in microfluidics, microfabrication
• Experiences in digital fabrication, CAD, and 3D drawing and modelling
• Good track record of scientific publications
• Excellent written and oral communication skills in English

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

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

We regret that only shortlisted candidates will be notified.

Job Description

The successful candidate will work with Assoc. Prof. Han Vinh Huynh and Assoc. Prof. Utkur Mirsaidov on the exploration of methods for selective etching in the pursuit of improving the fabrication of interconnects in semiconductors. To achieve this a detailed understanding of the (redox) chemistry of various current etching methodologies is crucial. Synthetic skills and knowledge in molecular chemistry are advantageous. In addition, s/he will assist the PI in overseeing daily operations of the lab and training junior lab members.

Qualifications / Discipline:

- Ph.D. or equivalent degree in Chemistry or Materials Science

Skills:
- Synthetic skills in organic and inorganic chemistry

Experience:
- Experience in molecular and surface science including hands-on experience in various analytical techniques (NMR, MS, TEM, SEM, XPS, etc.)

Investment Analyst/Associate in Capital Markets (CM) Department

Who are we: We are the world’s biggest listed EV battery components company.

General description: The candidate will be responsible for day-to-day tasks, including conducting investors research, preparing financial information and models, preparing marketing materials, and executing transactions. They will work closely with other team members in Singapore and across the globe on data and financial analyses, due diligence activities, and the creation of transaction materials. Being exposed to every aspect of a deal/transaction cycle, the candidate will be involved in the investor sourcing process, evaluation of such financing opportunities, arranging and structuring of such transactions, and see to the completion and documentation. The role needs a go-getter who wants to gain investment banking skills to eventually become a deal maker.

Detailed description:

- Assist the CM Director to source for credible strategic and sovereign wealth fund investors

- Assist the CM Director to manage investment bankers and financing proposal

- Assist the CM Director to answer questions from investors

- Assist the CM Director to prepare documents for investors Due Diligence

- Deep understanding of financial models

- Assist the CM Director in other matters like marketing, R&D joint labs, sourcing and incubation of early-stage startups, formation of incubation investment funds

- Strong in risk management, IPO regulations and review of legal documents

Requirements

- Bachelor's degree in Finance/ Investment related field or equivalent.

- Fluency in English and Chinese in speaking, writing and reading

- Relevant work experience at least 3 year

- MSc in Finance or related

- Humble, meticulous and with a good learning altitude

Investment Analyst/Associate in Capital Markets (CM) Department

Who are we: We are the world’s biggest listed EV battery components company.

General description: The candidate will be responsible for day-to-day tasks, including conducting investors research, preparing financial information and models, preparing marketing materials, and executing transactions. They will work closely with other team members in Singapore and across the globe on data and financial analyses, due diligence activities, and the creation of transaction materials. Being exposed to every aspect of a deal/transaction cycle, the candidate will be involved in the investor sourcing process, evaluation of such financing opportunities, arranging and structuring of such transactions, and see to the completion and documentation. The role needs a go-getter who wants to gain investment banking skills to eventually become a deal maker.

Detailed description:

- Assist the CM Director to source for credible strategic and sovereign wealth fund investors

- Assist the CM Director to manage investment bankers and financing proposal

- Assist the CM Director to answer questions from investors

- Assist the CM Director to prepare documents for investors Due Diligence

- Deep understanding of financial models

- Assist the CM Director in other matters like marketing, R&D joint labs, sourcing and incubation of early-stage startups, formation of incubation investment funds

- Strong in risk management, IPO regulations and review of legal documents

Requirements

- Bachelor's degree in Finance/ Investment related field or equivalent.

- Fluency in English and Chinese in speaking, writing and reading

- Relevant work experience at least 3 year

- MSc in Finance or related

- Humble, meticulous and with a good learning altitude

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

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

We regret that only shortlisted candidates will be notified.

Job Description

The successful candidate will work with PIs Associate Professor Duane Loh and Assistant Professor Tan Yongzi on computational phase retrieval for cryo-electron microscopy of floppy, low-contrast RNA molecules.

The main responsibilities of the position include:

1. Develop realistic forward model to simulate noisy cryo-electron micrographs from RNA biomolecules.
2. Perform computational phase retrieval on 2D micrographs using physics-informed neural networks.
3. Infer structural variability of floppy biomolecules from computationally phase-retrieved micrographs.

Qualifications

Ph.D. in physics-related disciplines.

Experience:

• Fluent in high-performance scientific computing and imaging in python, and comfortable in the Unix environment.

Skills:

• Strong foundation in computational optics, deep learning, high performance computing, and structural biology in cryo-EM

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

We are seeking a highly motivated candidate with a strong research background in computational catalysis, particularly Density Functional Theory (DFT), Molecular Dynamics (MD), Machine Learning (ML) and be able to lead their own research while collaborating with other team members.

The successful candidate will work with Asst. Prof. Pengfei Ou on Computational Catalysis under a project on "Accelerated Discovery of Catalytic Materials" to contribute to the discovery of new catalytic materials and next-generation catalysts.

Qualifications / Discipline:

- A PhD in Chemistry, Materials Science and Engineering, Chemical Engineering, Physics, or a closely related field.

Skills:
- Preference will be given to candidates with a strong research background in computational catalysis, computational materials science, AI/ML, DFT calculations, and (ab initio) MD simulations.
- Machine learning experience and a strong proficiency in Python programming and data analysis.

Research & Development Sous Chef

Overview

A fantastic opportunity for a creative, passionate and driven individual to be part of a growing manufacturing company with opportunities for long-term career progression as the business grows. You will be the expert in recipe development and culinary innovation.

As a R&D Sous Chef, you will work closely with the management and quality assurance department to develop new recipes and refine taste profiles through experimentation for B2B customer – Café, Education, Catering and Retail products. You will train kitchen team members, supervise and coordinate all culinary activities. You are also responsible for preparing consistent, high quality food products and improve efficiency to streamline kitchen operations.

Responsibilities include:

• Create new product recipes and ingredient selection while taking note of nutrition, shelf life and regulations
• Confirm product formulations and other information for constructing product specifications and documentation
• Make recommendations in the design of new manufacturing processes or to change current equipment or processes
• Plan, manage and run panel sessions and sensory tests on food products
• Review ingredients to meet customer needs and requirements
• Monitor and maintain product quality and food safety system
• Conduct food safety and shelf-life risk management during the product development stage
• Ensure the cleanliness and maintenance of all work areas, utensils, and equipment
• Conduct studies to discover ways to improve the efficiency of production processes
• Ensure manufacturing and processing staff wear appropriate sanitary and protective gear to ensure health and safety
• Monitor every aspect of production to ensure compliance with established procedures and standards
• Oversee the maintenance, repair, and replacement of production equipment to ensure smooth work operations
• Set production objectives and implement action plans for achieving set targets
• Conduct forecast to identify potential risks and contingencies in a proposed project
• Prepare periodic reports to update upper management on food production activities
• Create workshifts to ensure round-the-clock food production operations
• Maintain accurate inventory of raw materials and processed food products
• Ensure products and raw materials are stored properly at optimum conditions
• Carry out surveys to identify customer requirements and adjust to meet such needs
• Follow all safety and sanitation policies when handling food and beverages

Minimum qualifications

• At least 8 years of relevant working experience in F&B
• Culinary-related certifications/Diploma preferred
• Fluency in English and Chinese

Requirements

• Good communication and interpersonal skills
• Able to work within deadlines and well-organised in handling multiple projects
• Strong and proven track record of executing projects
• Positive attitude and eager to learn
• Display strong initiative and able to work independently
• Thrive in a fast-paced environment and able to adapt quickly
• Strong understanding of food manufacturing processes
• Proficient in cost management and production efficiency strategies
• Knowledge in food safety and quality hygiene systems e.g. HACCP, GMP, Food safety management systems e.g. ISO 22000, AIB, FSMS 22000, etc.
• Creative, detail minded, with excellent communication skills and can work independently and as a team
• Strong project management and influencing skills

Project Overview

The AMR IRG is an interdisciplinary community of biologists, engineers, and clinicians from MIT and Singapore, sharing a state-of-the art research facility and united by a commitment to providing a supportive intellectual environment where students and staff can learn, grow, and contribute to solving a pressing societal problem.

The objective of this project is to advance the field of RNA analysis by developing and implementing innovative analytical tools. These tools will be used in a comprehensive study of all forms of RNA -- the ribonucleome -- and the >170 RNA modifications -- the epitranscriptome -- in disease pathobiology, host-pathogen interactions, biomarker development, and therapeutic target discovery.

Responsibilities

The Research Engineer will plan and conduct experiments with the aim of understanding RNA modifications' roles in human disease and leveraging RNA-modifying enzymes as potential drug discovery targets. The candidate will work primarily on cell culture, RNA isolation, and chromatography-coupled mass spectrometry analysis. As part of this work, the candidate will prepare results for publication, be a liasion with the AMR IRG community, work with external collaborators, and develop strong experimental and communication skills.

Requirements

B.S. or M.S. in biochemistry, molecular & cell biology, bioengineering, chemical engineering, or a related field.

Experience in cell culture, RNA extraction, high-performance liquid chromatography or mass spectrometry are prefered. Strong proficiency in oral and written communication in English. Ability to work well with others and as part of a team.

To apply, please visit our website at: https://portal.smart.mit.edu/careers/career-opportunities

Interested applicants are invited to send in their full CV/resume, cover letter and list of three references (to include reference names and contact information). We regret that only shortlisted candidates will be notifie

We seek an innovative and highly motivated Principal Research Scientist to lead groundbreaking research initiatives in AutoCoding and Program Repair. The ideal candidate will have a proven track record of designing and executing complex research projects, mentoring multidisciplinary teams, and translating cutting-edge discoveries into impactful applications.

Responsibilities

• Lead and oversee research projects, ensuring alignment with organizational goals.
• Develop and implement research strategies, methodologies, and frameworks to address complex problems.
• Manage the full lifecycle of research projects, from concept to execution, ensuring timely delivery of milestones.
• Collaborate with cross-functional teams to integrate research outputs into broader organizational objectives.
• Build and maintain partnerships with academic, industrial, and government entities to drive collaborative research initiatives.
• Mentor and guide researchers, engineers, and other team members, fostering a culture of innovation and continuous learning.

Requirements and Skills

• Doctorate in Software Engineering or relevant field.
• 8+ years of experience, including leadership roles in academic, industrial, or governmental research settings.
• At least 5+ years of research experience in SE/ML/Sec or a related field.
• Industry experience with leading technical teams on engineering automation, system security, application security, and cloud computing.
• Proven experience collaborating with international researchers of diverse technical and cultural backgrounds
• Demonstrated expertise in SE/AI/ML/Sec, with a strong publication record in peer-reviewed A/A* ranked journals/conferences. A minimum of 4 first-author publications in top-tier conferences or journals is required.
• Experience in leading junior researchers
• Proven ability to translate research into practical applications or innovative products.
• Strong project management and organizational abilities.
• Exceptional problem-solving and analytical skills.
• Excellent written and verbal communication skills, with experience presenting to diverse audiences.
• Ability to foster collaboration within multidisciplinary teams.

Key role in formulating market insights and forecasts for the Group

An opportunity to influence decisions globally

Based in Singapore

As part of the team, you will play a crucial role in forecasting and analyzing key supply and demand developments to forecast drybulk markets. You will generate market insights and outlooks by closely analyzing data related to drybulk freight supply and demand. You will collaborate with our global trading team to drive strategic decisions.

The role demands a keen ability to navigate and interpret complex market dynamics.

The primary challenge lies in accurately forecasting supply and demand amidst fluctuating market conditions, policy changes, and global economic shifts. This requires not only strong analytical skills and attention to detail but also the ability to synthesize vast amounts of data into actionable insights. Effective communication and collaboration with local and global teams are essential to ensure timely and strategic decision-making in a highly competitive market.

This role will mainly interact with traders, including operations team on key projects.

You will be working in a fast-paced environment with tight deadlines.

Main Responsibilities:

Data Management & Forecasting:

Maintain up-to-date and accurate supply and demand (SnD) data for drybulk freight, reflecting current market conditions. Compile and update all relevant data and forecast components to anticipate market trends.

Market Analysis:

Stay informed on market trends, policies, and currency fluctuations affecting drybulk freight supply and demand. Transform this information into actionable market insights and adjust SnD outlooks accordingly.

Global Coordination:

Monitor global drybulk freight and demand.

Coordinate with team members to ensure accurate adjustments for specific products.

Communication & Reporting:

Effectively communicate key changes in drybulk freight supply and demand to commercial teams.

Synthesize and present insights to help stakeholders understand market dynamics and swing factors.

Quantitative Modeling:

Collaborate to enhance drybulk freight data analytics and processes.

Contribute to the development of new models and approaches to improve internal knowledge.

Minimum Requirements:

Bachelor's Degree in Marine, Trade or related field of study

Minimum 6 years of relevant experience within a commodity/ marine-focused MNC.

Managing, maintaining, and redesigning complex Excel models.

A strong industry network, as well as maintaining and expanding such, is essential for the success of this position.

Automated data visualization reports in Power BI.

Exposure to the trading environment.

Excellent verbal and written communication skills (English) are essential.

Genuine interest in global economics and commodities markets

Ability to manage data and summarize large quantities of data into key/actionable insights

Ability to analyze trends, data, and numbers to draw meaningful conclusions and write comprehensive reports

Know how to communicate/explain complex ideas in a simple way

Experience working with commercial teams to design trading strategies is a plus

Ability to work with teams in different geographical locations

Highly organized and detail-oriented, with an attentive approach to analysis to ensure accurate assumptions and conclusions

Ability to understand business needs & potential issues and propose innovative ideas/solutions

Good time management skills and ability to manage multiple tasks and meet deadlines

Interpersonal skills, ability to forge relationships with colleagues and external contacts

Self-motivated & problem-solver individual

Technical Skills:

Proficiency in Excel

Experience with BI tools for analytics

Strong statistical and analytical skills, with a solid understanding of data management best practices

Description:

Simple Food Solutions Pte Ltd is a dynamic OEM food manufacturing company dedicated to providing innovative and high-quality food products. We are looking for a creative and experienced Research and Development Specialist to lead our R&D efforts, drive new product development, and optimize kitchen operations.

Key Responsibilities:

1. Recipe Development and Product Innovation

• Create and test innovative recipes tailored to market trends and customer demands.

• Ensure recipes are scalable for production efficiency while maintaining exceptional quality.

2. Quality Assurance and Control (QA/QC)

• Establish and implement robust QA/QC protocols.

• Conduct product trials to ensure consistency, compliance, and safety standards.

• Resolve quality issues during development and production.

3. Product Approval and Accountability

• Oversee product approval, ensuring all items meet company standards for taste, presentation, and compliance.

• Sign off on finalized recipes and processes, assuming full accountability for product quality.

4. Collaboration with the Sales Team

• Partner with the sales team to understand customer feedback and market needs.

• Assist in presenting products to clients, including demonstrations and tastings.

• Support customization for specific customer requests.

5. Production Alignment and Management

• Collaborate with the Production Manager to align recipes with operational capabilities.

• Train production staff on new recipes and processes.

6. Market and Trend Analysis

• Research food trends, customer preferences, and competitor products to inform recipe development.

• Innovate and propose new product concepts for market differentiation.

7. Documentation and Reporting

• Maintain thorough records of recipes, ingredient specifications, and QA/QC protocols.

• Provide updates to the Production Manager and sales team on project progress and approvals.

Qualifications:

• Minimum of 5 years of culinary experience, focusing on R&D, QA/QC, or product development.

• Expertise in scaling recipes for production.

• Knowledge of food safety regulations and quality standards.

• Strong collaboration skills with production and sales teams.

• Excellent problem-solving and organizational skills.

Education:

• Degree/Diploma in Culinary Arts, Food Science, or a related field.

• Certifications in quality management or culinary innovation are a plus.

Key Competencies:

• Accountability in managing product quality, approvals, and customer satisfaction.

• Creative and innovative thinking with a strong focus on operational alignment.

• Ability to manage multiple projects within tight deadlines.

Benefits:

• Competitive salary and performance incentives.

• Opportunities for career growth and skill development.

• Collaborative and innovative work 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 Division of Family Medicine (DFM) at NUS research themes include chronic diseases, health longevity, cancer care, mental health, multimorbidity, family orientation and care coordination within the primary care setting.

We are looking to appoint a Research Fellow to support the primary care research programmes involving biostatistics. The Fellow will bring a combination of technical expertise in data science and applied statistical methods in primary care research.

The responsibilities include:

• Lead research projects that fall in DFM’s areas of interest and set up relevant research collaborations within and outside of the Division
• Provide support to other academic staff in the preparation of new grant proposals, ethics applications, manuscripts, and oral presentations
• Assist in the management of research activities including team coordination, mentoring of junior researchers, conducting research workshops and seminars
• Interact with interdisciplinary teams to build research capacity amongst our primary care partners
• Be a lead member of the research committee within DFM

Please note that this job description is not intended to be exhaustive. Duties and responsibilities outlined may be amended during appointment, in light of changing circumstances.

Qualifications

NUS offers highly competitive remuneration packages. The successful applicant will be offered an annual salary plus benefits commensurate with his or her qualifications, experience and expertise and will have access to travel support to disseminate research outcomes at international academic conferences.

The position is a 1-year full-time appointment at the academic rank of Research Fellow. An option to renew the appointment for subsequent years will depend on performance and continued funding for the project. Start date is flexible, with the position expected to commence in the first half of 2025.

Job Requirements:

• A recognized Doctoral degree in Data Science, Statistics or a closely related field with a strong post-doctoral research record
• Proven track record in handling and analyzing large healthcare dataset
• Track record of publishing in international peer-reviewed journals
• Strong communication skills in English, both written and spoken
• Strong leadership skills with the ability to work independently and as part of a multidisciplinary team
• Highly developed problem-solving skills and adept at managing complex research data
• Evidence of potential to generate and maintain an independent stream of funding
• Outcome-orientation with excellent organizational and project management skills, and attention to detail

The application should include a CV and a cover letter that describes the applicant’s specific interest in joining DFM. Only shortlisted candidates will be contacted.

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

This position focuses on investigating the mechanism of pipeline leakage induced ground deformation under heavy rainfall and proposing intelligent control methods.

The scope also requires the selected Research Engineer to

• Investigate the mechanism of pipeline leakage induced ground responses under heavy rainfall.
• Propose intelligent control method for preventing sinkholes.

Job Requirements

• Possess at least a bachelor/master’s degree in relevant field,
• Demonstrate a research or professional background aligned with the development of the physical model.
• Exhibit proficiency in coupled multi-physics modelling.
• Display strong teamwork capabilities and effective communication skills.
• Open to fixed-term contract
• Please note that only shortlisted candidates will be contacted.

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

AI Singapore (AISG) is a national AI programme launched by the National Research Foundation (NRF) to anchor deep national capabilities in Artificial Intelligence (AI).

The programme office is hosted by the National University of Singapore (NUS) and brings together all Singapore-based research institutions and the vibrant ecosystem of AI start-ups and companies developing AI products to perform use-inspired research, grow the knowledge, create the tools, and develop the talent to power Singapore's AI efforts.

AI Singapore (AISG) is seeking a highly organized and detail-oriented individual to join our team as a Research Assistant. The Research Assistant will collaborate with researchers, engineers, and external stakeholders to facilitate the research, evaluation and deployment processes involved in research projects.

Duties and Responsibilities

In this role, you will:

• Participate in the full research to deployment pipeline and help conceptualize, develop research experiments, and then implement the systems to execute these experiments.
• Work with a team and interact closely with both the academic researchers and the industry partners.
• Attend reading groups and seminars, master research techniques and engineering practices, and design research tools and experimental testbeds.
• Apply state-of-the-art AI algorithms, explore new solutions, and build working prototypes. You will also learn to deploy the systems and solutions at scale.

Qualifications

An ideal candidate should have the following:

• A Bachelor’s or Master’s degree in AI, computer science, or related disciplines including Engineering Systems;
• Strong system-building skills and keen interests in working with emerging technologies and frameworks;
• Solid background in AI and machine learning, preferably with at least 1-year of experience;
• Past experiences in:

- Open-source DevOps tools and software as a service solutions;

- Development and implementation of AI and machine learning algorithms;

- Related work at an academic research lab

• Good written and verbal communications skills;
• A willingness to learn and experiment with novel ideas and new domains.
• Interest or prior work in social data science and online trust and safety. Experience in areas such as user behaviour analysis, content moderation, misinformation detection, or platform security will be highly advantageous.

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

Applications are invited for the following full-time position at the Centre for Research in Health Systems Performance (CRiHSP):

Research Fellow (Health Equity)

Centre for Health and Healthcare

Project Fellow (Forum Equivalent Level II), Location: Singapore

The World Economic Forum (the Forum) is an International Organisation for Public-Private Cooperation, engaging global leaders to shape major agendas across sectors. Its Centre for Health and Healthcare focuses on enhancing healthcare systems by scaling solutions for resilience, efficiency, and equity through diverse stakeholder engagement.

The Centre has launched the “Digital Healthcare Transformation (DHT) Initiative,” a multi-year program to boost public-private partnerships in digital health, data, and AI. This initiative complements the Global Health Equity Network (GHEN), which promotes health equity and patient-centred system transformation.

Singapore, a leader in healthcare delivery and equity due to its investment in digital health, will be highlighted as a World Economic Forum Centre for Health and a Healthcare Country Lighthouse. This collaboration aims to showcase Singapore’s healthcare success globally and identify opportunities for Public-Private Partnerships to advance health equity through digital transformation.

Job Description

The Fellowship role will manage projects and provide expertise on Health Equity, access to care, and social determinants of health. The Fellow will support the Forum’s work in developing Singapore as a Country Lighthouse, conduct research on its health system transformation, and share insights on health equity. He/She will also coordinate with regional working groups and engage with local and global partners, including the Centre for the Fourth Industrial Revolution (C4IR) Network and the Accelerators Network, and contribute to the Forum's Health Equity strategy and broader global efforts.

The Health Equity effort in Singapore as well as the proposed pilot place-based change programme(s) will link to a broader global Global Health Equity strategy and pre-existing place-based change work (launching by the GHEN in 2024). This will provide existing best practice and networks that can be adapted to the new regional efforts in ASEAN.

This role is based in Singapore and hosted within the NUS Centre for Research in Health Systems Performance (CRiHSP). The Fellow will be involved in projects from the Forum’s Centre for Health and Healthcare. The Fellow will report directly to the NUS Principal Investigator, as well as to the Forum's Lead for Health Equity.

The fellowship is for 3 years (or until January 2028, whichever comes first, if applicable). Initially, a 1-year contract will be offered, renewable based on performance.

Main Duties and Responsibilities

• Research and draft a White Paper on Singapore’s health system transformation journey, including leading interviews with key Health Equity stakeholders and identifying future opportunities for collaboration.
• Develop and execute a dissemination plan for key learnings from the paper, including public engagement opportunities and convening interested stakeholders to share best practice.
• Support the broader GHEN team to incubate and manage a regional public-private working group focused on specific Health Equity gaps and opportunities identified in the research, to support the building on existing Singapore-led work in Southeast Asia to scale regional health equity development and innovation; and incorporating key topics in health equity such as access, trust, and impact measurement.
• Contribute to the Forum’s broader global Health Equity strategy with Singapore-based insights and case studies - linking also to the Digital Healthcare Transformation Initiative in partnership with the Digital Healthcare Transformation Fellow.
• Drive partner engagement opportunities in Singapore with all relevant stakeholder groups across sectors.

Qualifications

• Doctoral degree in relevant fields such as public health, healthcare policy, or medicine.
• At least 8 years of professional experience with expertise in health industry strategies and operations across various regions.
• In-depth knowledge of health equity, including clinical, technical aspects, social determinants, and impact measurement methodologies.
• Extensive experience collaborating with public and private sector stakeholders in Singapore on multi-sectoral partnerships.
• Proficient in analysing complex issues using business intelligence and making informed recommendations.
• Strong project management and coordination skills, with attention to detail and critical thinking abilities.
• High proficiency in English with excellent communication skills.
• Ability to navigate multi-stakeholder interests and drive impactful societal action.
• Experience in producing thought leadership content such as blogs, research papers, and reports.
• Proven interest in social issues, personal integrity aligned with World Economic Forum's mission, and willingness to travel internationally.

Application

All applications will be submitted through CHRS Recruiting portal

1. Cover letter introducing themselves, career goals and earliest start date.
2. Brief statement of interest matching their skills and competencies to the requirements of the post (no more than 500 words).
3. Curriculum Vitae, containing contact information of three named referees.
4. A sample of published work that is the most relevant to the current vacancy, if available.

Recruitment is open immediately. For further inquiries about the position, feel free to contact Prof. Jose Valderas ([email protected]). Only shortlisted candidates will be contacted for interviews.

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 (NUS) Yong Loo Lin School of Medicine is recruiting talented scholars at multiple levels: Post-doctoral Fellows, Senior Research Fellows and Research Scientists to work in the Global Centre of Asian Women’s Health (www.glownus.org) and the NUS Bia-Echo Asia Centre for Reproductive Longevity and Equality (www.acrle.com). Our interdisciplinary program is designed to provide experiences that foster scholars’ professional development by working closely with national and international experts, and equip them with independent research skills in multi-disciplinary areas, such as nutrition, reproductive health, maternal and child health, endocrinology, behaviour intervention, biostatistics and epidemiology.

Successful candidates are expected to 1) conduct original research for publications based on data from several large cohort studies in the United States and in Singapore, such as the U.S. National Institute of Child and Human Development (NICHD) Fetal Growth Studies, Diabetes & Women’s Health Study (www.dwhstudy.org), Growing Up in Singapore Towards healthy Outcomes (GUSTO), and the Singapore Preconception Study of Long-Term Maternal and Child Outcomes (S_PRESTO); 2) present at scientific conferences; 3) contribute to competitive grant applications; and 4) mentor junior researchers within a multi-disciplinary research team. Successful candidates will also have the opportunity to develop their independent research initiatives using the wealth of data from the school and collaborative national and international institutes.

Qualifications

Candidates with a doctoral degree in epidemiology, nutrition, or a closely related field, or those with a medical degree with some experience or advanced graduate training in epidemiology, population health, or biostatistics are invited to apply. Preference will be given to candidates with strong research experience in any of, but not limited to, the following areas.

• Diabetes, obesity, and cardiometabolic health
• Nutrition, lifestyle and mental wellness
• Omics research, especially on metabolomics and microbiome
• Behavior intervention
• Reproductive health, maternal and child health
• Aging and neuro-cognitive function
• Women’s health
• Developmental origins of disease
• Epidemiological methods

Skills

Preference will also be given to candidates with

• Strong analytical or quantitative skills
• Good track record of publications in peer-reviewed journals
• Excellent communication skills in English
• Experience in statistical software (e.g., STATA, SAS, R)
• Experience in grant/proposal writing

The position provides health insurance. The salary is commensurate with training and relevant research experience. Multiple positions are available and will remain open until qualified applicants are found. First round of application review will start on November 1st, 2023.

Application

Applicants should email: 1) a curriculum vitae; 2) a statement of research interests; 3) three letters of reference; and 4) transcripts for undergraduate and graduate degrees. Note: Official transcripts may be requested if selected for an interview. Applicants need not have completed their doctoral training prior to applying, although training must be completed prior to the start of the position (in the email subject, please clearly state “Application-research fellow/scientist”)

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

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

We regret that only shortlisted candidates will be notified.

Job Description

The successful candidate will work with Prof. Stephen Pointing on marine environmental microbiology under a project on “ Characterising the role of the sea-surface microlayer in regulating microbial dispersal, human exposure, and pollutant transformation”.

The main responsibilities of the position include:
Marine fieldwork, molecular laboratory work on metagenomes and metatranscriptomes

Qualifications

• Qualifications / Discipline: PhD

• Skills: Marine fieldwork, molecular biology lab skills, bioinformatics computational skills

• Experience: ≥1yr postdoctoral research experience

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

Applicant is invited for a Research Associate position in the Materials Science laboratory in Mechanical Engineering Department, to work on an industry research project.

Qualifications

• Applicant should possess a Bachelor or Masters Degree in Engineering or Materials Science, preferably with a background experience / knowledge in materials and material characterisation.
• Ability to work independently, good team-working and communication skills are essential.
• The appointment is available immediately, starting from 14 January 2025.

Job Description

· Collaborate with cross-functional teams such as Mechanical Engineers, Test Engineers, Lab Technicians, and Project Engineers to execute ocean basin model testing projects, such as floating offshore wind projects.

· Analyse and comprehend project requirements related to hydrodynamic testing, model instrumentation, and data acquisition.

· Select and implement suitable data acquisition systems, control system design, and develop software architecture specific to ocean model testing needs.

· Develop and maintain application software for new ocean basin test setups and custom test requirements.

· Upgrade existing software systems to accommodate new test protocols or methodologies for ocean model testing.

· Choose appropriate sensors for wave, current, and motion measurements, ensuring seamless integration with control systems and software.

· Create and update documentation, including software designs, changes, user manuals, and standard operating procedures (SOPs) for ocean model tests.

· Upgrade LabVIEW-based software applications to newer versions, ensuring they meet the latest testing requirements.

· Troubleshoot and resolve issues in control systems, data acquisition, and software during model testing.

· Test and validate application software before deployment to the ocean basin test setup.

· Prepare comprehensive user manuals, SOPs, and provide training for test engineers to ensure smooth operation of the test environment.

Job Requirements

· Minimum qualification: Bachelor of Engineering (BEng) / Bachelor of Technology (BTech) in Electronics, Electrical, Instrumentation, or Computer Science with at least 2 years of relevant experience, particularly in LabVIEW.

· Proficiency in different versions of LabVIEW, including the latest versions with relevant toolkits.

· Experience in designing and developing NI LabVIEW-based data acquisition and control systems for ocean basin model testing or similar environments.

· Proven ability to develop modular and scalable applications using LabVIEW?s standard architecture.

· Experience in developing LabVIEW applications for Windows and Real-Time (RT) Linux environments.

· Proficiency in integrating NI hardware systems such as PXI, cRIO, and CompactDAQ into the testing framework.

· Hands-on experience with communication protocols like TCP/IP, UDP, Serial, USB, CAN, and EtherCAT for testing and control purposes.

· Experience with integrating third-party programmable instruments (e.g., multimeters, power supplies, oscilloscopes) and controllers into ocean testing setups.

· Experience in developing NI software drivers for third-party hardware and integrating third-party software with LabVIEW.

· Knowledge in selecting, wiring, and troubleshooting sensors used in hydrodynamic and ocean model testing (e.g., pressure sensors, accelerometers, flow meters).

· Experience in reading control panel schematics, designing control systems, and selecting appropriate control panel hardware for model testing.

· Strong team player with the ability to work independently and collaborate in cross-functional project teams.

· Experience interfacing induction motors with VFDs and control systems, with knowledge of VFD configuration for use in testing environments.

· Strong troubleshooting skills at the signal and system level for data acquisition and automated test systems.

· Excellent documentation skills for capturing test requirements, preparing software designs, and writing user manuals.

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

Prof George Augustine Group: Assistant Research Officer

Serve as technician in brain research laboratory, with special emphasis on maintaining our mouse colony.

Responsibilities:

• Responsible for animal husbandry and maintenance of various transgenic mouse models. Prepare animal protocols such as drafting of IACUC amendment and SOPs for institutional approval.
• To perform molecular biology techniques, such as genotyping (DNA work), PCR and gel electrophoresis.
• Assist in daily lab activities such as preparation of buffers and administrative duties.
• Maintain accurate records of mice genotype results, experimental data, or related paperwork.

Requirements:

• BS degree in Biology, Biotechnology, or related field.
• Previous experience as lab technician desirable

Salary and benefits are commensurable to educational qualifications and working experience of the candidate. Benefits include annual leave, medical and flexi-benefits, etc.

Interested individuals should send their applicants (including a cover letter, curriculum vitae with list of publications and two referees’ contacts/ recommendation letters) to:

Prof George AUGUSTINE

Temasek Senior Investigator

Temasek Life Sciences Laboratory Ltd
Email: [email protected]

(Please note that only shortlisted candidates will be notified)