Total 327 Senior Executive level Science / R&D / Research job vacancies

JOB DESCRIPTION

• Project manage medium scale projects and/or programmes under the PMO project lifecycle framework - meeting project scope, schedule & cost requirements.
• Deep dive with technical/ research team to fine-tune needs, requirements, and expectations of industry partner.
• Facilitate good communication between the cross-functional team members and fosters teamwork.
• Manage and monitor project/ programme issues & mitigate risk.
• Manage and implement project/ programme changes and interventions to achieve project deliverables and mitigate risk.
• Track, monitor and report the progress of the project to all stakeholders and ensure effective communication with industry partner throughout the project life cycle.
• Deliver project outcomes in the defined scope, costs, quality, and timeline.

JOB REQUIREMENTS

• Bachelor in any Science & Engineering related disciplines.
• At least 3-year work experience in manufacturing roles within the aerospace & MRO / oil and gas / manufacturing industry.
• PMP certifications or equivalent will be advantageous.
• Good business acumen, able to identify business opportunity and interact with industry partners confidently.
• A team player who is motivated to solve technical challenges and deliver on time to customers.
• Willingness to learn and adapt to new technology promptly.
• Good communication and interpersonal skills.

Employment Type: 3-Year Contract
Join Date: 2027 / 2028 onwards
Location: China (specific placement based on expertise and project alignment)

About the Opportunity

We are partnering with leading research institutions and innovation platforms to identify high-caliber global talent in technology (AI) and pharmaceutical sciences. This initiative aims to attract outstanding researchers and professionals to contribute to cutting-edge innovation and scientific advancement.

Selected candidates will have the opportunity to work in a dynamic research environment, collaborate with leading experts, and contribute to impactful projects with strong institutional support.

Key Benefits

• Highly competitive annual remuneration package
• Housing allowance provided
• Family support including educational assistance
• Attractive yearly performance bonuses
• Access to advanced research facilities and resources
• Opportunity to collaborate with global research team

Eligibility Requirements

• Master’s Degree or PhD in Technology, AI, Pharmaceutical Sciences, or related disciplines
• Strong academic or industry background in AI, technology, biotech, or pharmaceutical research
• Proven research capability, innovation track record, or industry expertise
• Ability to contribute to high-impact research or technological development

Contract Details

• Duration: 3 years
• Start Date: From 2027 / 2028 onwards

Job Scope

Tech (AI) Track:

• Conduct AI and machine learning research and development projects
• Design, implement, and test innovative algorithms or software solutions
• Collaborate with cross-functional teams to translate research into applied technology

Pharmaceutical Track:

• Conduct laboratory or clinical research projects in drug development or biotech
• Analyze experimental data and contribute to research publications or regulatory submissions
• Collaborate with multidisciplinary teams to drive scientific innovation

Ideal Candidates

• Researchers, scientists, and technology professionals seeking to work on frontier innovation
• Individuals interested in contributing to large-scale research initiatives and global collaborations
• Candidates open to relocating to China for a multi-year research engagement

Application

Interested candidates are invited to submit their CV and academic background for consideration.

Dorothy Ooi Shi Hui (R1762852)
Recruit Lync Pte Ltd (22C1000)

JOB DESCRIPTION

• Project manage medium scale projects and/or programmes under the PMO project lifecycle framework - meeting project scope, schedule & cost requirements.
• Deep dive with technical/ research team to fine-tune needs, requirements, and expectations of industry partner.
• Facilitate good communication between the cross-functional team members and fosters teamwork
• Manage and monitor project/ programme issues & mitigate risk
• Manage and implement project/ programme changes and interventions to achieve project deliverables and mitigate risk
• Track, monitor and report the progress of the project to all stakeholders and ensure effective communication with industry partner throughout the project life cycle.
• Deliver project outcomes in the defined scope, costs, quality, and timeline

JOB REQUIREMENTS

• Bachelor in any Science & Engineering related disciplines.
• At least 3-year work experience in manufacturing roles within the aerospace & MRO / oil and gas / semiconductors / manufacturing industry.
• PMP certifications or equivalent will be advantageous.
• Good business acumen, able to identify business opportunity and interact with industry partners confidently.
• A team player who is motivated to solve technical challenges and deliver on time to customers.
• Willingness to learn and adapt to new technology promptly.
• Good communication and interpersonal skills.

Job Responsibilities:

• Responsible for performing professional process engineering research, development, and evaluation in support of the IME's variety of programs requirements such as semicondcutor wet cleaning and wet etch process.
• May conceive and plan projects involving definition and selection of new materials, concepts and approaches in the processing or development of new processes.
• Compiles and evaluates test data to determine appropriate limits and variables for process specifications.
• Championing engineering experiments for process characterization to drive for quality and yield improvement.
• Setup and collect the experimental data and generate reports for both internal and customer distribution.
• Design and complete DOE (Design of Experiments) evaluations to characterize process window for new requirements.
• Work closely with senior staff and process integrators to understand technology roadmaps, process capability requirements and business issues/ challenges.
• Act as a resource for colleagues with less experience; lead small projects with manageable risks.
• Act as subject matter wet etch expert for both internal and external stockholders.
• Accelerate parallel process development capability to meet aggressive project timelines and supporting faster innovation cycles.
• Build a sustainable talent pipeline across both research and engineering levels.

Job Requirements:

• PhD in chemistry, Chemical engineering with 3+ years of relevant work experience in semiconductor process engineering; or
• Master's degree with 5+ years of relevant work experience in semiconductor process engineering.
• Prior experience in wet etch/ wet clean processes is preferred.
• A safety mindset is the most prerequisite for this position.
• Hands-on experience in designing and executing experiments (DOE), statistical and cause analysis, and problem-solving methods.
• Possess good interpersonal and communication skills.

Job Description: Scientist/Senior Scientist – Process Integrator / Hybrid Bonding/ Heterogeneous Integration

The Heterogeneous Integration Department at the Institute of Microelectronics (IME) is seeking a passionate and skilled Scientist/Senior Scientist to join our team. This role is pivotal in advancing state-of-the-art chip-to-wafer and wafer-to-wafer hybrid bonding processes, developing cutting-edge fabrication techniques for 2.5D and 3D packaging applications, and conducting electrical and reliability characterisation. The position provides an exciting opportunity to contribute to groundbreaking technologies and collaborate with a dynamic team of researchers and external stakeholders.

Key Responsibilities

• Collaborate with senior staff, process integrators, and external partners to address technology roadmaps, process capability requirements, and business challenges.
• Lead high-impact projects with manageable risks and mentor less experienced colleagues.
• Conceive and plan projects involving new materials, advanced process integration approaches, and innovative concepts.
• Research and develop advanced packaging technology such as flip-chip & hybrid bonding techniques for 2.5D and 3D IC applications.
• Investigate and refine wafer bonding processes for interposer fabrication, inter-dielectric gap fill, and alignment accuracy, addressing critical factors such as warpage, bonding strength, and yield.
• Optimise die bonding processes, including the selection of low-temperature organic and inorganic bonding materials, surface preparation, and bonding methods.
• Conduct engineering experiments for process characterisation to drive quality and yield improvements.
• Perform reliability characterisation of hybrid-bonded packages to ensure robustness and long-term performance.
• Act as a subject matter expert (SME) for both internal and external stakeholders, providing guidance and expertise.
• Inspire and mentor talent in semiconductor technology, contributing to workforce development in the field.
• Work with minimal supervision and should be a team player.

Qualifications and Skills

Candidates should meet the following criteria:

• Educational Background: PhD in Materials Science and Engineering, Mechanical or Chemical Engineering, Electronics, Electrical and Computer Engineering, or a related field.
• Experience: 0 to 5 years of experience in microelectronic devices, circuits, and hybrid component integration, 2.5D/3D heterogeneous integration applications.
• Technical Expertise: knowledge in hybrid bonding or flip chip bonding is plus.
• Knowledge: Strong knowledge of hybrid bonding equipment technologies and bonding materials and methodologies, and reliability characterisation is preferable.
• Skills: Strong analytical and problem-solving skills. Proficiency in data analysis and interpretation and design of experiments.
• Excellent written and verbal communication abilities.
• Teamwork: Ability to work collaboratively in a research-oriented environment (OEMs, customers, and Internal stakeholders). Demonstrated ability to manage multiple tasks and projects simultaneously.
• Demonstrated expertise in heterogeneous integration, hybrid bonding, and advanced packaging processes.
• Proven ability to troubleshoot and resolve process-related challenges.
  

For further inquiries or additional information, please contact our HR personal. We look forward to receiving your application and exploring the potential for you to join our innovative team.

At LinkedIn, our approach to flexible work is centered on trust and optimized for culture, connection, clarity, and the evolving needs of our business. The work location of this role is hybrid, meaning it will be performed both from home and from a LinkedIn office on select days, as determined by the business needs of the team.

Team blurb:

The GTM Data Science team operationalizes data and insights for LinkedIn’s go‑to‑market impact across Marketing, Sales, Pricing and Finance. We partner closely on multiple revenue generating initiatives. We also measure platform growth through rigorous metrics, experimentation, and enabling advanced data solutions. We organize and harmonize data at scale by building highly reliable, semantically rich data pipelines enabling data-driven decision making across the organization.

Responsibilities:

• Partner with product managers and go-to-market (GTM) teams to set up experimentation, support A/B testing, and experimentation readouts.
• Build data expertise, act as an owner for the company, and manage complex data systems for a product or group of products.
• Perform all necessary data transformations to serve products that empower data-driven decision making.
• Build and manage data pipelines, design and architect databases.
• Design, implement, integrate, and document performant systems or components for data flows or applications that power analysis at a massive scale.
• Ensure best practices and standards in the data ecosystem are shared across teams.
• Understand analytical objectives to make logical recommendations and drive informed actions.
• Be a self-starter; initiate and drive projects to completion with minimal guidance.
• Contribute to engineering innovations that fuel LinkedIn’s vision and mission.

Warehouse Operations

• Oversee daily warehouse operations including receiving, storage, picking, packing, and dispatch of goods.

• Ensure proper handling and storage of food products in compliance with food safety and hygiene standards.

• Maintain an organized warehouse environment to improve efficiency and safety.
  

Inventory Management

• Maintain accurate inventory records in Microsoft Dynamics NAV (ERP system).

• Perform regular stock counts, cycle counts, and inventory reconciliation.

• Investigate and resolve inventory discrepancies.

• Monitor stock levels and highlight potential shortages or overstock situations.

Receiving & Dispatch

• Verify incoming deliveries against Purchase Orders and Delivery Orders.

• Ensure proper Goods Receipt Note (GRN) processing in NAV.

• Prepare and coordinate outgoing orders for outlets or customers.

• Ensure timely and accurate fulfilment of outlet replenishment orders.
  

  System & Documentation

  • Update inventory transactions in NAV including stock transfers, adjustments, and GRN.

  • Maintain proper documentation for warehouse transactions and audits.

  • Work closely with procurement and finance teams on stock reconciliation.

  Coordination & Support

  • Coordinate with procurement, operations, and logistics teams to ensure smooth supply flow.

  • Support stock planning for promotions, campaigns, and festive periods.

  • Assist with supplier returns, claims, and damaged goods management.

  Compliance & Safety

  • Ensure compliance with food safety regulations and warehouse SOPs.

  • Maintain cleanliness and proper storage conditions within the warehouse.

  • Follow workplace safety guidelines for material handling.

  Requirements

  • Comfortable handling warehouse documentation and system transactions.

  • Able to carry heavy goods when required.

  • Proficient in Excel and basic computer systems.

  Key Competency

  • Inventory control & stock accuracy

  • ERP / NAV system knowledge

  • Warehouse operations management

• Meet daily output targets.
• To perform any ad hoc task as instructed by superior.

Requirements / Skills:

• Willing to work overtime if required.
• Able to work independently and as a team
• Able to drive forklift will be an added advantage
• Accommodations will be provided.
• Overtime with extra pay will be provided.
• Working hours Monday- Friday 8am – 6pm with 1 hour lunch break between 1pm-2pm. Saturday 8am – 1pm.

About Gain City

At Gain City, we deliver expertise and quality solutions in air-conditioning, home appliances and consumer electronics. Established in 1981, Gain City is a trusted household name in Singapore. We take pride in our strong customer focus, innovative spirit, and commitment to service excellence. With a dynamic workforce and a network of stores and service centres island wide, we offer a vibrant and growth-oriented environment where employees are empowered to thrive, take ownership and make a real impact.

About the Role

We are seeking pro-active and driven Human Resources (HR) Executives to join our growing team. Specifically, you will play a vital role in supporting the learning & development (L&D) function and operation. You will work with the business units to identify skill gaps and training needs, as well as source for and manage external training providers and internal learning resources in handling organisation’s learning and development needs.

This is a people-oriented role ideal for someone who thrives in a fast-paced environment and is passionate about building a positive workplace culture. You will work closely with various departments to ensure smooth operations across the group of companies and contribute to initiatives that enhance employee satisfaction and organisational effectiveness.

Key Responsibilities

• Identify skills gaps and training needs through analysis, evaluations, and employee feedback.

• Partner with Heads of Departments and management to support the organisation’s Learning & Development initiatives.

• Source, coordinate, and manage external training providers and internal learning resources.

• Maintain accurate project documentation and ensure compliance with ISO standards (ISO 9001, ISO 45001, ISO 14001).

• Prepare and manage non‑compliance reports.

• Oversee vendor and contractor management for training-related matters.

• Maintain effective administrative processes for tracking, recording, and filing all training documents.

• Build and manage partnerships with external organisations and government agencies for initiatives, funding, grants, and sponsorships.

• Coordinate internship programmes with educational institutions.

• Manage government grant applications and related documentation.

• Serve as the team lead for CSR event planning and coordination.

Qualifications and Requirements

• Bachelor’s degree in human resource management or a related discipline

• Minimum of 1 year of experience in Human Resources

• Able to interact confidently with business units and external parties

About the role

We are seeking passionate engineers to join our R&D team, focused on AI-driven and knowledge-based applications. The role focuses on developing and translating AI models and algorithms to enhance intelligence for robotic/ automation systems, integrating perception, planning, and control modules into a cohesive system.

You will work closely with a multidisciplinary team of engineers and researchers to develop advanced robotic/ automation solutions that combine machine learning, computer vision, and control systems to achieve autonomous and intelligent automation.

Roles and responsibilities

• Conduct research and develop AI methods for information extraction across diverse data types, including video, image, and text
• Contribute to the design and implementation of knowledge-based applications, such as graph database systems and related software tools
• Translate and optimise intelligent algorithms into robotic/ automation platforms to enhance intelligence- adaptive control and task execution
• Develop and maintain the AI-robot interface, ensuring robust communication between software intelligence and physical systems
• Support prototype development, testing, and validation of robotic/ automation solutions in lab and production environments
• Prepare technical documentation, reports, and presentations for internal and external stakeholders
• Participate in system deployment, commissioning, and field validation of AI-automation systems

Job Requirements

• Strong foundation in AI/ML algorithms and computer vision techniques such as object detection and action recognition, applied to automation in perception, decision-making, and motion planning.
• Fundamental understanding of software engineering practices, including Git/version control and modular code development
• Familiarity with deep learning architecture (e.g. CNNs, Transformers) and knowledge graph technologies (e.g., Neo4j, RDF, or graph databases) will be an advantage
• Proficient in Python, with experience in machine learning frameworks such as PyTorch, TensorFlow, or Scikit-learn
• Basic understanding of automation systems and mechanical design principles
• Proficiency in one or more of the following areas:
• Robotic manipulation and motion planning (industrial or collaborative robots)
• C++, or ROS (Robot Operating System)
• Reinforcement learning or intelligent control
• Path planning and trajectory optimization
• AI model optimization and deployment for real-time systems

Desirable Skills (Preferred but not required):

• Hands-on experience with robot platforms (e.g., UR, ABB, KUKA, FANUC) or robotic simulation tools (e.g., Gazebo, Isaac Sim, V-REP).
• Experience developing or deploying AI models on robotic/ automation platforms
• Familiarity with industrial automation, disassembly, or intelligent manufacturing systems

Qualifications

• Bachelor's or Master's degree in AI, Mechatronics, Robotics, Computer Engineering, or a related field.
• Relevant experience, ideally in manufacturing industry or functions, is preferred. 
• At least 2 years of experience

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.

Think Academy Singapore (part of NYSE-listed TAL Education Group) seeks an accomplished Science Educator with deep expertise in PSLE Science to lead our curriculum innovation, teacher development, and assessment strategy. This role is designed for a seasoned professional who has direct experience setting PSLE questions, marking exams, or training students for distinction.

As a Senior Science Teacher, you will:

Drive Academic Excellence

• Teach and mentor primary-level (P4–P6) Science students, with a focus on advanced PSLE preparation strategies.
• Design and review high-impact lesson materials, including PSLE-style questions, answer frameworks, and marking rubrics.
• Lead workshops for students/parents on PSLE trends, common pitfalls, and MOE syllabus updates.

Lead Curriculum & Assessment Innovation

• Oversee the development of proprietary Science curriculum (e.g., exam-centric worksheets, mock papers) aligned with MOE standards.
• Collaborate with TAL’s global R&D team to integrate EdTech tools (AI-driven analytics, adaptive learning) into teaching.
• Train junior teachers on PSLE marking standards, answer precision, and pedagogy.

Enhance Think Academy’s Reputation

• Represent Think Academy as a subject-matter expert at media/parent seminars, education fairs, and industry panels.
• Contribute thought leadership (e.g., articles, webinars) on Science education trends and PSLE performance analysis.

Who You Are

• 8+ years of teaching Primary Science in Singapore, with proven PSLE question-setting/marking experience (e.g., former MOE teacher, PSLE marker, or curriculum developer).
• Mastery of MOE syllabus, PSLE grading frameworks, and application-based learning (e.g., answering techniques for open-ended questions).
• Track record of coaching students or leading school/centre-based PSLE programmEntrepreneurial mindset—able to align teaching excellence with business growth (e.g., parent engagement, student recruitment).

Salary

Up to $12,000 per month

About the role

We are seeking passionate engineers to join our R&D team, focused on AI-driven and knowledge-based applications. The role focuses on developing and translating AI models and algorithms to enhance intelligence for robotic/ automation systems, integrating perception, planning, and control modules into a cohesive system.

You will work closely with a multidisciplinary team of engineers and researchers to develop advanced robotic/ automation solutions that combine machine learning, computer vision, and control systems to achieve autonomous and intelligent automation.

Roles and responsibilities

• Conduct research and develop AI methods for information extraction across diverse data types, including video, image, and text
• Contribute to the design and implementation of knowledge-based applications, such as graph database systems and related software tools
• Translate and optimise intelligent algorithms into robotic/ automation platforms to enhance intelligence- adaptive control and task execution
• Develop and maintain the AI-robot interface, ensuring robust communication between software intelligence and physical systems
• Support prototype development, testing, and validation of robotic/ automation solutions in lab and production environments
• Prepare technical documentation, reports, and presentations for internal and external stakeholders
• Participate in system deployment, commissioning, and field validation of AI-automation systems

Job Requirements

• Strong foundation in AI/ML algorithms and computer vision techniques such as object detection and action recognition, applied to automation in perception, decision-making, and motion planning.
• Fundamental understanding of software engineering practices, including Git/version control and modular code development
• Familiarity with deep learning architecture (e.g. CNNs, Transformers) and knowledge graph technologies (e.g., Neo4j, RDF, or graph databases) will be an advantage
• Proficient in Python, with experience in machine learning frameworks such as PyTorch, TensorFlow, or Scikit-learn
• Basic understanding of automation systems and mechanical design principles
• Proficiency in one or more of the following areas:
• Robotic manipulation and motion planning (industrial or collaborative robots)
• C++, or ROS (Robot Operating System)
• Reinforcement learning or intelligent control
• Path planning and trajectory optimization
• AI model optimization and deployment for real-time systems

Desirable Skills (Preferred but not required):

• Hands-on experience with robot platforms (e.g., UR, ABB, KUKA, FANUC) or robotic simulation tools (e.g., Gazebo, Isaac Sim, V-REP).
• Experience developing or deploying AI models on robotic/ automation platforms
• Familiarity with industrial automation, disassembly, or intelligent manufacturing systems

Qualifications

• Bachelor's or Master's degree in AI, Mechatronics, Robotics, Computer Engineering, or a related field.
• Relevant experience, ideally in manufacturing industry or functions, is preferred. 
• At least 5 years of experience

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.

Job Description
As a Senior Development Engineer, you will be a key senior resource in a team, actively contributing to and leading the development of robotics software solutions for industrial applications (manufacturing/logistics). You will focus on developing multi-system management and orchestration capabilities for multi-robot and multi-device systems, particularly using the Robotics Middleware Framework (RMF). This role involves leading aspects of project execution, proactive contribution to new capability development, and continuous learning.

Roles and Responsibilities
- Actively contribute to and lead specific areas of research and development for robotic software packages and tools for industrial applications using the ROS framework, including capabilities in Robotics Middleware Framework (RMF) multi-agent path planning, simulator design, perception, and motion planning. Drive application-oriented robotic research towards industrial automation using ROS 2.
- Contribute significantly to the architecture and lead the development of complex software solutions and core algorithms for interoperable multi-agent and multi-robot systems, focusing on coordination, scheduling optimisation, task assignment, and traffic deconfliction.
- Contribute to and lead the implementation of robust systems engineering approaches by translating business requirements into system requirements and validation methodologies, and develop comprehensive software testing and validation strategies in accordance with industry standards.
- Lead specific aspects of project scoping, planning, and execution for technical projects, and actively contribute to overall project delivery, including overseeing technical documentation, write-ups, and presentations.

Job Requirements

Qualification & field of study: Degree in Robotics Engineering, Software Engineering, Computer Engineering, Electrical Engineering or Computer Science or equivalent.

Min. years of experience: 5+ years (or equivalent demonstrated experience).

Essential Skills & Experience:
- Mastery in C++ and Python programming.
- Extensive experience and expertise in software development principles and practices.
- Extensive experience with CI/CD pipelines and containerization (e.g., Docker, Kubernetes).
- Extensive experience with ROS2 and its ecosystem.
- Mastery with Git version control.
- Deep knowledge of robotics concepts including manipulation, navigation, fleet management, and/or simulation.
- Extensive experience with complex software systems integration, including architecture and communication protocols.
- Extensive experience with networked systems design and implementation.
- Experience deploying multiple software or robotics systems to production environments.
- Demonstrated ability to lead technical initiatives or projects within a team context.

Desired Skills & Experience:
- Experience applying or researching AI technologies in robotics.
- Proven experience managing stakeholders from requirements gathering to deployment.
- Web development experience (e.g. React framework).
- Experience with specific robotics algorithms (e.g., scheduling optimisation, task assignment, traffic deconfliction)
- Experience developing software solutions using ROS libraries

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.