Total 2,106 Science / R&D / Research job vacancies in Overseas

We are looking for a committed Maths Teacher (Cambridge A level/Pre-university Foundation) to complement our qualified workforce of educators.

Responsibilities:

You will be responsible for preparing and implementing a full educational teaching plan according to the school’s requirements. It will be fundamental to provide knowledge and instruction to students while also helping them develop their personalities and skills.

Specifically:

• Prepare and conduct lessons according to the course syllabus and scheme of work.

• Deliver lessons and provide the necessary supervision to students as a mentor or form teacher.

• Provide necessary supervision to the students, manage the classroom, and address discipline issues.

• Prepare and mark examination papers and assignments.

• Monitor the performance and progress of each student and provide academic counselling.

• Teach students according to their aptitude (Differentiated Teaching)

• Perform Intervention duties: Identify and discuss students’ academic and pastoral needs with parents/academic team/student relations to find a way to help students.

• Attend team meetings and staff development workshops.

• Support scheduled school holistic activities when directed to do so.

• Oversee and advise the assigned non-academic / Co-curricular activities.

• Enable students to attain required proficiency for university admission.

• Collaborate with the team in curriculum development, appraisal system, and project management.

• Perform any other tasks as may be assigned on an ad-hoc basis as needed.

• Achieve assigned key performance indicator target.

THE IDEAL CANDIDATE:

You must be passionate about the job with an ability to reach out to students and create a relationship of mutual trust. You must know how to organize a class and make learning an easy and meaningful process. Your goal is to help cultivate the students’ interest in education and be their dedicated ally in the entire process of learning and development.

SKILL AND EXPERIENCE:

• Masters qualifications from a recognised university

• Knowledge of Further Mathematics is preferred

• Professional Teacher qualifications are preferred

• Demonstrate ability to teach learners from different proficiency levels across the four components (speaking, reading, listening, and writing)

• Ability to inspire students' interest in learning and create a strong affinity with the students.

• Excellent written and verbal communication and interpersonal skills

• Self-motivated, logical thinker, team player

Ready to kickstart your professional journey while gaining real-world exposure in the healthcare industry? Join an internship experience where you will work on meaningful projects, sharpen your business insights, and develop valuable skills in research, analysis, and stakeholder engagement.

Your Role & Responsibilities

• Support business research initiatives by gathering, organizing, and analyzing market information
• Conduct industry research, competitor reviews, and data collection to uncover key insights
• Assist in preparing reports, presentations, and business materials for internal discussions
• Compile and interpret data from various sources into clear and structured formats
• Identify market trends and contribute ideas to support business strategies
• Support ongoing projects through coordination, documentation, and administrative assistance
• Utilize Microsoft Office tools to create professional reports, spreadsheets, and presentations
• Work closely with team members on assigned projects while gaining hands-on industry exposure

What We're Looking For

• GCE ‘A’ Levels, Diploma, or equivalent qualifications and above
• Genuine interest in healthcare, business strategy, research, or market analysis
• Strong attention to detail with good organizational and analytical abilities
• Comfortable working with Microsoft Office applications
• Positive learning attitude with the ability to adapt and take initiative
• Good communication skills and ability to collaborate effectively
• Training and guidance will be provided

Why This Opportunity?

• Gain practical exposure to healthcare business operations
• Develop research, analytical, and commercial skills
• Learn how business decisions are shaped through data and market insights
• Build a strong foundation for future career opportunities

Interested candidates are encouraged to send their updated resume to careerwithus@recruitexpress.com.sg with the subject Healthcare Business Explorer Intern.

Leon Leong De Cong
R1551708
Recruit Express Pte Ltd
EA License No. 99C4599

CLaaS2SaaS is a Singapore-headquartered Pan-ASEAN AI Acceleration Platform committed to advancing inclusive digital economy transformation across Southeast Asia. With a growing presence across Singapore, Malaysia, Indonesia, Philippines, Vietnam, Cambodia, Myanmar, Sri Lanka, India, and China, we work closely with higher education institutions, enterprises, SMEs, and governments to accelerate workforce and digital transformation in the AI era.

Driven by a Skills-First, Work-Integrated Learning innovation, CLaaS2SaaS combines work-integrated learning with AI-powered adaptive technologies to develop industry-ready digital talent and support lifelong career growth. Our innovative learning ecosystem enables faster and more effective workforce transformation, empowering individuals with practical skills, real-world industry experience, and meaningful career outcomes.

At the same time, we support enterprises in adopting intelligent digital solutions and scalable AI-enabled services that enhance productivity, workforce capabilities, and operational efficiency. By connecting education, industry, and technology within a unified ecosystem, CLaaS2SaaS is building a more connected, agile, and AI-powered ASEAN economy for the future.

Job Objective

·Support blended learning journey for our learners to achieve superior learning experience and successful skills outcome.

·Be a subject matter expert and mentor students throughout their learning journey

·Learning Delivery and Operations Management – Execute eduCLaaS’ courses in accordance with its well-defined learning delivery, learning operations and learning technology policies and procedures in order to achieve best results in learner satisfaction.

·Financial Management – Responsible to execute the various cohorts/programmes with time, budget and P&L. Leverage the use of data analytics to analyse the profitability of the programmes.

Technical Skills and Competencies

·Extensive experience in Programme Management

·Well versed in Education/University frameworks

·Good skills in Financial and Risk Management

·Good understanding of Educational Technology and its implementation.

Requirements

·Bachelor’s degree is required.

·Proven experience as a facilitator, speaker, or coach.

·5+ years of experience in data science and machine learning

·Strong communicator.

·Great empathy skills.

·Assess the training needs of learners and adjust your delivery accordingly.

·Working knowledge of the following:

• Azure
• Solid foundation and advanced level understanding of R Programming, SQL, Python, Machine Learning, AI, Spark, Statistics
• Python base packages as Numpy, Pandas, Scikit learn, Seaborn & MatplotLib
• Experience using business intelligence tools (e.g. Tableau,PowerBI) and data frameworks (e.g. Hadoop, Spark)
• Azure Machine Learning knowledge especially with data and ML stack
• High proficiency with standard database skills (e.g., SQL), data preparation, cleaning, and wrangling/munging.

Good to have

Microsoft Power BI certification
Microsoft Machine Learning certification

Desirable Traits

Possess good English competency level (because the class is conducted in English)

Nurturing, committed, hardworking, proactive, accountable, driven

Good interpersonal, communication and organizational skills

Responsibilities

• Developing new product according to development requests and involve in improvement of existing products
• Developing application recipes to optimize product design for new and existing products
• Look out for new trends and new products in the market
• Responsible for developing prototypes for customer in a given time frame
• Evaluation of new ingredient submissions
• Conduct food tasting and sensory evaluation
• Maintain proper documentation to support costing, lab scale formulation of new and existing products and any supporting documents.
• Work closely with inter-departments on the development and launch of new or improved recipes
• Perform ad-hoc duties assigned by immediate superior

Job Requirements

• Recognised culinary qualification or similar discipline
• At least 2 - 5 year of relevant experience in restaurant/ hotel business/ food manufacturing industry
• Experience in different Asian cuisine, bakery and Dim Sum would be useful for daily R&D work
• Passionate about food product development
• Creative in food preparation and presentation
• Meticulous with good organizational skills
• Team player with good interpersonal skills
• Proficient with Microsoft Office
• Proficient in Mandarin and English (spoken and written) as need to liaise daily with Mandarin and English speaking associates

For a quicker response, apply directly through our application portal: https://boards.briohr.com/teeyihjiafoodmanufacturingpteltd-32hw8fqhzn/details/679832023668ca000888465a

PURPOSE OF THE ROLE

In this role, you will drive both business development and operationalexcellence for our Clinical Trial Projects. Your key responsibilities willinclude:

•        Managing Requests for Information (RFIs) andRequests for Proposals (RFPs)

•        Maintaining and refining costing models

•        Overseeing contracting activities

•        Supporting capacity and resource planning

•        Conducting data analysis to enhance projectperformance

REQUIREDQUALIFICATIONS AND EXPERIENCE

•        A diploma or degree in a science orhealth-related field

•        Prior experience in early-phase clinicalresearch is preferred

Interested candidates please send in your resume to:

nurse@recruitexpress.com.sg

Anthea Lim

Outsourcing Team

Company Reg. No. 199601303W

EA Licence No. 99C4599

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

Key Responsibilities: 

The candidate will study theoretically forward and inverse uncertainty quantification problems for partial differential equations, and multiscale partial differential equations. The candidate will develop efficient numerical methods for solving the problems, and implement the numerical algorithms to verify the theoretical results. 

Job Requirements:

• Applicants should possess a PhD degree or have satisfied all the requirements for a PhD degree in Mathematics.

• Applicants should have deep knowledge in numerical analysis of partial differential equations, and should be competent at implementing complicated numerical algorithms.

Actual appointment grade will depend on candidate’s qualifications and experience.

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

Job Description

Role Responsibilities: 

• Design, collect data, analyze, and compile reports on a wide range of complex process engineering experiments for multiple products

• Utilize techniques, define methods, and apply new technologies to characterize hardware, and/or perform hardware characterization on a high number of complex systems for multiple products

• Generate internal and external documentation for products, presentations, technical reports and create process engineering specifications

• Develop, plan, and execute process engineering projects, within safety guidelines

• Train engineers in measurement techniques of film properties and guide them in the interpretation of the data, new methodologies, troubleshooting techniques and issue resolution

• Communicate and engage with customers to resolve a broad spectrum of complex process engineering issues, with limited supervision

• Design and implement new technology, products, and analytical instrumentation

• Identify, select, and partner with vendors and suppliers with limited to no supervision

• Lead functional teams or projects, as needed

Minimum Qualifications:

• Bachelor’s degree in a related field

• 7-10 years of related experience  

• Demonstrates conceptual and practical expertise in complex problem solving

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

NUS Career Portal link: https://careers.nus.edu.sg/job/Research-Fellow-%28Statistics-and-Data-Science%29/33447-en_GB/?st=DDCF370D747A170FC6C5B7C7D0F8F5BB9E65FE37

We regret that only shortlisted candidates will be notified.

Job Description

The successful candidate will work with Assoc. Prof. Alexandre THIERY on representation learning and high-dimensional time series under a project on "Particle methods for data-assimilation".

The main responsibilities of the position include:
•    Methodology development
•    Implementation of the methods
•    Publication in journals and conferences
•    Presentation of work at conferences

Qualifications / Discipline:
•    PhD in Machine Learning, Statistics, Signal Processing, Applied Mathematics, or related fields

Skills:
•    Proficiency in deep learning frameworks (e.g., PyTorch, TensorFlow)
•    Strong background in statistical modeling and machine learning
•    Proven ability to develop and implement complex algorithms
•    Excellent written and verbal communication skills
•    Capable of conducting independent research and working collaboratively

Experience:
•    Published research in top-tier journals and conferences (e.g., NeurIPS, ICML, AISTATS)
•    Demonstrated experience in developing novel methodologies in representation learning
•    Strong record of presenting at international conferences and workshops

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

NUS Career Portal link: https://careers.nus.edu.sg/job/Research-Fellow-%28Relative-smooth-optimization-theory%29/33458-en_GB/

We regret that only shortlisted candidates will be notified.

Job Description

In recent decades, we have witnessed significant progresses in the convergence and complexity theory of the first-order optimization methods, with gradient global Lipschitz continuity (GGLC) assumption playing a central role, in many classical results. However, a large class of important problems arising in modern optimization and machine learning do not satisfy this assumption. As a result, there remains a substantial gap between the theory and practical behavior of many widely used algorithms.

This project, led by Dr. Zhang, aims to strengthen the theoretical foundation of relative smooth optimization, an emerging framework developed to go beyond the classical GGLC setting. In particular, the project will study first-order methods under relative smoothness, with a focus on nonconvex problems, more appropriate optimality measures, and new non-Euclidean Lipschitz tools that better capture the underlying problem geometry. The goal is to establish sharper convergence and complexity results, clarify several widely adopted but potentially misleading arguments in the current literature, and develop a more reliable and powerful new analysis framework for the relative smooth problem class.

Job Requirements

Interested applicants are required to possess a PhD in 2026. He/she should have a good understanding in

1.    convergence and complexity analysis for (nonconvex) optimization algorithms 
2.    variational inequalities and duality theory
3.    stochastic process and martingale theory
4.    semi-algebraic and subanalytic geometry
5.    stochastic approximation methods
6.    dynamical systems

The applicant should also be experienced in MATLAB and Python coding. In particular, he/she should have the ability to adapt base codes of PyTorch to implement new algorithms instead of calling built-in functions.

In addition, experience in GPU-based acceleration of large-scale algorithms will be an advantage. Familiarity with implementing or adapting first-order methods on GPU platforms, as well as handling large-scale matrix-vector computations efficiently, is preferred.

NOTE: This grant contains 2 research fellow positions, while each job posting will create 1 job. Thus, there will be 2 identical jobs posted. Please submit your applications to both of the posts. 

Munich Re is one of the world’s leading providers of reinsurance, primary insurance, and insurance-related risk solutions. With a global presence and a commitment to innovation and excellence, we offer a unique opportunity to contribute to our continued success.

We are seeking a highly motivated and experienced Actuarial Manager to join our Central Life Reserving (CLR) team. This role offers the opportunity to collaborate across multiple business units in Asia, MENA, South Africa, and Australia, supporting the consolidation and enhancement of regional reporting and analysis processes.

Your Role                                          

Reporting and Analysis:

• Lead the integration of South Africa’s reporting processes into the regional framework, identifying and implementing efficiencies.
• Take point on South Africa Group Reporting effective 2027.
• Assess and enhance regional reporting processes to meet the evolving needs of local offices.
• Support the development and implementation of standardized procedures for timely and effective result analysis.
• Conduct in-depth analysis and provide actionable insights into key drivers of financial results.
• Support Annual Planning and Delivery across Asia Pacific & Africa.

Review and Support:

• Be the first line reviewer of Munich Re’s South Africa business.
• Lead the Group Reporting for Japan, Korea, Retakaful and Middle East business, supporting the Regional Head of Reporting and the Regional Chief Actuary with the quarterly and annual reserving and quality assurance.
• Support the review of other business units across Asia Pacific.

Technical Expertise:

• Serve as the technical expert on the systems and tools within the job function.
• Implement a treaty-level IFRS17 analysis tool across LH2.
• Support the enhancement of the prognosis process across Singapore branch.

Your Profile

• Minimum of 5 years of relevant actuarial experience, with strong progress in actuarial examinations.
• Solid understanding of IFRS 17 and Solvency II reporting frameworks.
• Strong analytical and problem-solving skills, with a keen eye for detail.
• Excellent written and verbal communication skills, with the ability to convey complex concepts clearly.
• Proven ability to manage and resolve conflicts constructively.
• Proficiency in Microsoft Excel; experience with programming languages such as VBA, R, Python, or SQL is highly desirable.

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

NUS Career Portal link: https://careers.nus.edu.sg/job/Research-Engineer-%28IC-Designer%29/33449-en_GB/

We regret that only shortlisted candidates will be notified.

Job Description

We are looking for a Research Engineer for the (SHINE) Centre 2.0 co-led by Professor Massimo Alioto, at the Department of Electrical and Computer Engineering, National University of Singapore (NUS).

The selected candidate is expected to work on:

•    physical, thermal and circuit-to-system modeling, design exploration, architecture and validation/testing framework
•    chip and substrate model iterative fine-tuning (e.g., thermals, parasitics), early raw dataset creation from circuit/system simulations, final raw dataset creation from iterative measurements, prototype circuit design, system assembly and testing
•    data gathering and preparation, AI model architecture evaluation, training/inference implementation and integration with chip architecture
•    end-to-end system modeling, exploration, architectures and system integration
•    analog frontend circuit and sensor modeling, exploration, verification and testing
•    authoring high-quality research papers for leading conferences and journals and presenting findings at international conferences.
•    managing technical milestones for the project

The appointment can commence immediately with a 1-year contract, with prospect of extension. Salary will be commensurate with qualifications and experience.

Qualifications

The candidate must possess:
•    a Masters/Bachelor degree in either Electrical Engineering or strictly related (e.g., Computer, Electronics, Communication, or Information Engineering).
•    Knowledge on circuit architectures, transistor-level design.
•    Knowledge on silicon chip design, EDA tools.
•    Ability to work independently and collaboratively in a team environment.
•    Good communication and interpersonal skills.
•    Open to fixed term contract.

The Opportunity

As part of our life actuarial team, you’ll focus on high-impact opportunities to apply your knowledge and experience that will shape our services. You’ll build valuable relationships with clients and develop strong capabilities, through both formal training and working with senior mentors and talented colleagues. You will be at the forefront of issues that are shaping the insurance industry in Asia and gain a wide exposure to a diverse range of actuarial projects.

Your Key Responsibilities

As a Senior Manager in the Actuarial team, you will be assisting and leading the delivery of a wide range of client engagements, leading or working as part of a project team, relating to IFRS 17, Appointed Actuary work, actuarial valuation, pricing and product development, actuarial modelling, Merger & Acquisitions (M&A) and due diligence. You will also be performing evaluation in areas related to financial risk, product distribution and capital issues. You will also work with advanced financial modeling approaches and systems, e.g. designing valuation and Asset Liability Management (ALM) frameworks.

Skills and Attributes for Success

• Good understanding of economic or market issues and the ability to interpret their impact on clients
• Possess strong interpersonal and teaming skills
• Has strong analytical and creative skills
• Leverage technology to continually learn, improve service delivery and maintain our leading edge best practices

To Qualify for the role, you must have

• Minimum 10 years of experience in the life actuarial team or an actuarial consulting firm.
• Newly or Nearly qualified with either the Institute and Faculty of Actuaries (UK), the Society of Actuaries (US) or the Institute of Actuaries of Australia
• Good knowledge of Prophet software
• Good written and verbal communication skills

Ideally, you’ll also have

Depth of experience in at least one of the following areas:

- financial modeling

- financial and regulatory reporting

- product and distribution strategy

- ERM / Solvency II

- M&A due diligence

What we look for

Highly motivated individuals with excellent problem-solving skills and the ability to prioritize shifting workloads in a rapidly changing industry. An effective communicator, you’ll be a confident team player that collaborates with people from various teams while looking to develop your career in a dynamic organization.

What we offer

• Continuous learning: You’ll develop the mindset and skills to navigate whatever comes next.
• Success as defined by you: We’ll provide the tools and flexibility, so you can make a meaningful impact, your way.
• Transformative leadership: We’ll give you the insights, coaching and confidence to be the leader the world needs.
• Diverse and inclusive culture: You’ll be embraced for who you are and empowered to use your voice to help others find theirs.

If you can demonstrate that you meet the criteria above, please contact us as soon as possible.

We are the only professional services organisation who has a separate business dedicated exclusively to the financial services marketplace. Join Financial Services (FSO) and you will work with multi-disciplinary teams from around the world to deliver a global perspective. Aligned to key industry groups including asset management, banking and capital markets, insurance and private equity, we provide integrated advisory, assurance, tax, and transaction services.

Our Insurance and Actuarial Advisory Services practice comprises two areas: Life/Health Insurance and Property/Casualty products and services. Join this team and you will provide clients with traditional actuarial services (e.g., reserving, pricing and mergers and acquisition support), as well as leading edge services such as financial reporting and measurement, financial risk management, modelling, hedging, reinsurance, securitization, economic capital and solvency.

With so many offerings, you have the opportunity to develop your career through a broad scope of engagements, mentoring and formal learning. That's how we develp outstanding leaders who team to deliver on our promises to all of our stakeholders, and in so doing, play a critical role in byulding a better working world for our people, for our clients and for our communities. Sound interesting? Well this is just the beginning. Because whenever you join, however long you stay, the exceptional EY experience lasts a lifetime.

The Opportunity

As part of our non-life actuarial team, you’ll focus on high-impact opportunities to apply your knowledge and experience that will shape our services. You’ll build valuable relationships with clients and develop strong capabilities, through both formal training and working with senior mentors and talented colleagues.  You will be at the forefront of issues that are shaping the insurance industry in Asia and gain a wide exposure to a diverse range of actuarial projects.

Your Key Responsibilities

You will be assisting and leading the delivery of a wide range of client engagements, leading or working as part of a project team, relating to, Merger & Acquisitions (M&A) and due diligence; valuation, pricing and product development and regulatory changes. You will also be performing evaluation in areas related to financial risk, product distribution and capital issues.

Skills and Attributes for Success

• Good understanding of economic or market issues and the ability to interpret their impact on clients
• Possess strong interpersonal and teaming skills
• Has strong analytical and creative skills
• Leverage technology to continually learn, improve service delivery and maintain our leading edge best practices

To Qualify for the Role you must have

• Minimum 3 years of experience in the non-life actuarial team or an actuarial consulting firm. Candidates with more experiences will be considered for a more senior level
• Newly or Nearly qualified with either the Institute and Faculty of Actuaries (UK), the Society of Actuaries (US) or the Institute of Actuaries of Australia
• Good written and verbal communication skills

Ideally, you’ll also have

• Depth of experience in at least one of the following areas:
• financial modeling
• financial and regulatory reporting
• reserving
• product pricing and distribution strategy
• ERM / Solvency II
• M&A due diligence

What we look for

Highly motivated individuals with excellent problem-solving skills and the ability to prioritize shifting workloads in a rapidly changing industry. An effective communicator, you’ll be a confident leader equipped with strong people management skills and a genuine passion to make things happen in a dynamic organization.

What we offer

• Continuous learning: You’ll develop the mindset and skills to navigate whatever comes next.
• Success as defined by you: We’ll provide the tools and flexibility, so you can make a meaningful impact, your way.
• Transformative leadership: We’ll give you the insights, coaching and confidence to be the leader the world needs.
• Diverse and inclusive culture: You’ll be embraced for who you are and empowered to use your voice to help others find theirs

If you can confidently demonstrate that you meet the criteria above, please contact us as soon as possible.

Apply now.

EY | Shape the future with confidence 

EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets.  
 
Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate.  
 
Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today.  

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

NUS Career Portal link: https://careers.nus.edu.sg/job/Research-Fellow-%28IC-Designer%29/33441-en_GB/

We regret that only shortlisted candidates will be notified.

Job Description

We are looking for a Research Fellow for the (SHINE) Centre 2.0 co-led by Professor Massimo Alioto, at the Department of Electrical and Computer Engineering, National University of Singapore (NUS).

The selected candidate is expected to work on:

•    physical, thermal and circuit-to-system modeling, design exploration, architecture and validation/testing framework
•    high-level exploration and modeling for predictive power management
•    predictive power management from circuits to voltage-aware model optimization and test chip demonstration
•    predictive power management from circuits to voltage and temperature-aware model optimization and test chip demonstration
•    predictive power management runtime adaptation for accurate event detection with test chip demonstration
•    full integration of voltage/temperature-aware circuits, models and runtime adaptation for accurate event detection
•    authoring high-quality research papers for leading conferences and journals and presenting findings at international conferences.
•    managing technical milestones for the project and providing technical guidance to PhD and master’s students within the group.

The appointment can commence immediately with a 1-year contract, with prospect of extension. Salary will be commensurate with qualifications and experience.

Qualifications

The candidate must possess:
•    A PhD degree in either Electrical Engineering or strictly related (e.g., Computer, Electronics, Communication, or Information Engineering).
•    Knowledge on circuit architectures, transistor-level design.
•    Knowledge on silicon chip design, EDA tools.
•    Ability to work independently and collaboratively in a team environment.
•    Good communication and interpersonal skills.
•    Open to fixed term contract.