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

Position: Senior Scientist

Position Role: Process Integrator for Advanced Package Assembly for Heterogeneous Integration

The Advanced Packaging Program at the Institute of Microelectronics (IME) is seeking a passionate and skilled Scientist or Senior Scientist to join our team. This role is pivotal in advancing the state-of-the-art chip-to-wafer/chip-to-chip fine pitch micro-bump thermal compression bonding and chip-to-wafer fusion/hybrid bonding, underfilling and moulding capabilities, developing 2.5D interposer and 3D chip stacking assembly process integration flows for Heterogeneous Integration of chiplets. The position provides an exciting opportunity to contribute to groundbreaking technologies and collaborate with a dynamic team of researchers and external ecosystem stakeholders.

Key Responsibilities

• Lead flip chip bonding process capabilities development to scale down micro bump bonding and chip-to-wafer hybrid bonding technologies for heterogeneous chiplets integration.
• Develop assembly process integration approaches to realise complex novel system-in-package architectures by integrating chiplets.
• Work with design and wafer process integration teams to establish assembly process design rules for advanced packaging platform technologies.
• Identify the capability needs for future package architectures to conceptualise and lead assembly capability development projects involving new materials, advanced process integration approaches, and innovative concepts.
• Engage and manage internal and external stakeholders for project activities execution, and provide updates on schedule and deliverables
• Act as a subject matter expert (SME) for both internal and external stakeholders, providing guidance and expertise.
• Collaborate with cross-functional teams such as design, unit process team, yield improvement, and external partners, including materials, equipment, customers and universities, to identify technology gaps, define technology roadmap and drive the development.
• Develop new IPs and strengthen the advanced packaging IP portfolio in assembly processes and assembly integration approaches.
• Inspire and mentor students in semiconductor technology, contributing to workforce development in advanced packaging.
• Customer/partner engagement: ability to present technical content to customers and senior stakeholders; drive joint development (JDP/NRE).
• Mentoring junior engineers, influencing without authority, and ownership of module roadmaps.
• Willingness to be hands-on in the cleanroom and learning new processes and metrology equipment.

JOB REQUIREMENT/Qualification

Candidates should meet the following criteria:

• PhD in Materials Science & Engineering, Mechanical, Chemical, Electronics/ Electrical & Computer Engineering, Physics, Chemistry or a closely related field.
• 5-10 years of experience in the semiconductor industry, with expertise in package assembly processes and exposure to advanced package assembly technologies such as thermal compression bonding, chip-to-wafer bonding, underfilling, etc.
• Broad hands-on knowledge of one or more unit processes—such as wafer thinning, dicing, flip chip bonding, underfilling, solder ball attachment, wafer-level compression moulding - is preferred.
• Proven ability to work effectively in a diverse, matrixed environment and collaborate with cross-functional departments.
• Strong analytical/problem-solving skills (Ishikawa, Seven Basic Quality Tools, brainstorming) and proficiency with DOE and SPC (JMP/Minitab).
• NPI to HVM ramp experience: process window definition, control plans, and yield/cost improvement through pilot to high-volume manufacturing (foundry/OSAT).
• Reliability & standards: working knowledge of JEDEC/IPC/JESD (e.g., HTS, TC, HAST, BLR, EM), and failure analysis flows (X-ray, CSAM, FIB/SEM-EDX).
• Excellent written and verbal communication abilities.
• Demonstrated ability to manage multiple projects and priorities in a research and translational environment.
• Able to work effectively with multi-ethnic, multicultural teams and to build inclusive, high-performing teams.
• Proven ability to author impactful conference/journal papers and deliver presentations at international conferences (e.g., ECTC, IEDM, VLSI Symposia) across North America, Europe, and Asia.

What We Offer

• The opportunity to work on cutting-edge research projects in advanced packaging and heterogeneous integration.
• A collaborative & interdisciplinary work environment and access to state-of-the-art facilities and resources.
• File intellectual property (IP) promptly for new research findings.
• Publish research in peer-reviewed journals and present findings at international conferences.
• Researchers have access to advanced laboratories and characterisation equipment, fostering innovation and enabling the development of groundbreaking technologies. The institute encourages interdisciplinary collaboration and offers opportunities for professional growth and development.

Join us in shaping the future of semiconductor technologies and heterogeneous integration. Apply today!

About the Role

We are looking for a Senior Research Engineer to design and implement AI-enabled solutions that support manufacturing planning, scheduling, and inventory analytics. You will work on building backend services, data pipelines, and APIs that connect AI systems with manufacturing platforms to enable smarter, data-driven decision-making.

Key Responsibilities

·       Lead the development and integration of applications for production planning, scheduling, and inventory optimization.

·       Design backend services and APIs to support planning and analytics workflows.

·       Orchestrate multiple AI-driven agents for collaborative task execution in manufacturing systems.

·       Connect AI applications with external manufacturing platforms and enterprise tools.

·       Collaborate with AI/ML engineers to deploy models into production.

·       Build scalable backend systems using Docker, Kubernetes, and cloud platforms.

·       Support CI/CD pipelines and maintain production/staging environments.

·       Contribute to evolving AI-based decision support platforms for manufacturing operations.

Requirements

·        Bachelor's degree in AI, Computer Engineering, Software Engineering, or related field.

·       Minimum of 5 years of experience in software development, focusing on enterprise systems.

·       Experience with microservices (C# .NET, Python) and using Angular.

·       Familiarity with AI-driven planning, scheduling, or inventory analytics.

·       Knowledge of agent-based systems or multi-agent coordination.

·       Proficiency with Docker, Kubernetes, and cloud environments.

·       Hands-on experience with CI/CD tools (Jenkins, GitHub, etc.).

·       Exposure to AI/ML model integration in production.

·       Excellent problem-solving, troubleshooting, and analytical skills, with a high level of attention to detail.

·       Strong verbal and written communication skills.

·       Positive, proactive attitude, with the ability to collaborate effectively across multiple stakeholders.

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.

About the Role

We are looking for a Senior Research Engineer to design and implement AI-enabled solutions that support manufacturing planning, scheduling, and inventory analytics. You will work on building backend services, data pipelines, and APIs that connect AI systems with manufacturing platforms to enable smarter, data-driven decision-making.

Key Responsibilities

·       Lead the development and integration of applications for production planning, scheduling, and inventory optimization.

·       Design backend services and APIs to support planning and analytics workflows.

·       Orchestrate multiple AI-driven agents for collaborative task execution in manufacturing systems.

·       Connect AI applications with external manufacturing platforms and enterprise tools.

·       Collaborate with AI/ML engineers to deploy models into production.

·       Build scalable backend systems using Docker, Kubernetes, and cloud platforms.

·       Support CI/CD pipelines and maintain production/staging environments.

·       Contribute to evolving AI-based decision support platforms for manufacturing operations.

Requirements

·        Master's degree in AI, Computer Engineering, Software Engineering, or related field.

·       Minimum of 8 years of experience in software development, focusing on enterprise systems.

·       Experience with microservices (C# .NET, Python) and using Angular.

·       Familiarity with AI-driven planning, scheduling, or inventory analytics.

·       Knowledge of agent-based systems or multi-agent coordination.

·       Proficiency with Docker, Kubernetes, and cloud environments.

·       Hands-on experience with CI/CD tools (Jenkins, GitHub, etc.).

·       Exposure to AI/ML model integration in production.

·       Excellent problem-solving, troubleshooting, and analytical skills, with a high level of attention to detail.

·       Strong verbal and written communication skills.

·       Positive, proactive attitude, with the ability to collaborate effectively across multiple stakeholders.

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.

Key Roles and Responsibilities

• Develop and optimize CMP process for silicon photonics, flat optics, advanced packaging, MEMS, and wide bandgap semiconductor applications.
• Collaborate with process integration teams to drive CMP process development, optimization, and troubleshooting for both industrial and grant-funded projects.
• Own innovation strategy for CMP raw materials, slurry, methodologies, and approaches to enhance CMP uniformity, stability and defect performance.
• Provide technical support to fab teams in implementing and sustaining statistical process control (SPC) for CMP modules, ensuring consistent process performance.
• Prepare and deliver technical reports and presentations for both internal stakeholders and external customers, effectively communicating project progress and technical insights.

Job Requirements

• Bachelors/Master's degree in Electronics, Microelectronics, Materials Engineering, Chemical Engineering, Materials Science, Chemistry, Physics, or equivalent.
• Minimum 3 years of experience in semiconductor industry, preferably in CMP technologies.
• Hands-on experience with 200 mm or 300 mm CMP equipment platforms (e.g., AMAT or Ebara) is highly desirable.
• Knowledge of silicon photonics, advanced packaging, MEMS, or wide bandgap semiconductor platforms is advantageous.
• Hands-on experience with basic process characterization techniques such as DRSEM, Ellipsometry, and AFM is a plus.
• Strong skills in experimental design (DOE), data analysis, and process optimization.
• Good analytical and communication skills, with ability to deliver clear and concise messages to both internal and external stakeholders.
• Self-motivated with a strong interest in advancing next-generation CMP applications and industry trends.

About ARTC
The Advanced Remanufacturing and Technology Centre (ARTC) is a public-private partnership consortium with over 80 industry members. Our mission is to develop and deploy advanced manufacturing solutions and upskill the workforce to enhance local industry competitiveness.
Within ARTC, the Smart Virtual Systems (SVS) Group focuses on applying AI, optimisation, and advanced modelling techniques to enable intelligent, data-driven manufacturing operations.

About the Role

We are seeking a highly motivated Scientist / Senior Scientist to lead and conduct research in modelling and optimisation for enterprise multi-resource planning problems. This role offers the opportunity to advance scientific research in the field of operations research and translate innovations into impactful industry solutions across diverse range of industries.
The successful candidate will be an individual with a strong command of the required technical domains, leadership skills to manage research efforts and project delivery teams, excellent communication skills with technical and non-technical audiences, and good interpersonal skills to work with various stakeholders.  

Key Responsibilities

·       Lead research into innovative optimisation algorithms for multi-resource planning, including production scheduling, inventory management, and capacity planning.

·       Work with engineers to translate research outcomes into deployable solutions for industrial applications.

·       Formulate scientific research directions and develop innovative proposals aligned with industry needs.

·       Drive competitive research funding proposals and collaborations with industry and academic partners.

·       Publish high-quality research in top international journals and conferences.

·       Mentor junior researchers and contribute to the development of ARTC's R&D roadmap in enterprise optimisation.

Job Requirements

·       PhD in AI, Computer Science, Operations Research, or related disciplines with emphasis on optimisation, machine learning, or data science.

·       Strong background in modelling and optimisation for planning & scheduling problems.
* 5+ years' experience in R&D leadership and research project management in relevant areas.

·       Proven expertise in programming and algorithm development (e.g., Python, C# .NET) for optimisation and machine learning.

·       Strong track record of publications in top-tier journals and conferences.

·       Deep understanding of production planning, scheduling, and inventory optimisation domains.

·       Excellent technical writing, presentation, and communication skills.

·       Demonstrated ability to apply optimisation algorithms to real-world multi-resource planning problems (industry projects experience is a plus).

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.

Responsibilities:

• Develop and optimize processes for SiC Device module integration, flows for SiC devices fabrication, focusing on process integration and yield improvement.
• Collaborate with cross-functional teams to design and implement process modules for SiC devices manufacturing.
• Conduct experiments, analyze data and refine processes to achieve targeted performance and yield.
• Troubleshoot and resolve issues related to device integration and process development.
• Document procedures, maintain details record, and standard operating procedures (SOP)

Job Requirement:

• Diploma, Bachelor’s or Master’s in Electronics Engineering, Materials Science, Physics, or related field.
• Proven experience (1-2 years) in semiconductor device module integration.
• Familiarity with cleanroom protocols and safety procedures.
• Knowledge of basic semiconductor unit processes such as PVD, RIE, ICP, etc.
• Ability to work effectively as a team as well as independently.
• Intern/working experience in semiconductor manufacturing/R&D Fab will be considered a plus.
• Strong communication and teamwork skills.

ARTC is looking for a Senior Development Engineer to join Autonomous Systems & Robotics (ASR) group to accelerate the development of novel, intelligent, and/or reconfigurable robotic systems that can be adopted by industry.

ABOUT THE ROLE

As a Senior Development Engineer, you will contribute towards developing systems and solutions as part of a larger team, and lead small projects, to meet the needs of different companies across the manufacturing and logistics ecosystem in Singapore. You will work with both senior and junior engineers and scientists at A*STAR on different R&D projects for developing robotics and automation systems.
If you are passionate about applied research and/or the development of Generative AI-driven robotics and automation systems and applying the best-in-class physical AI and optimization algorithms to solve practical industry problems, this is the role for you.

JOB DESCRIPTION

• Discuss with stakeholders to get clear understanding of their problem statements, requirements, expectations
• Study new technologies and tools available in the market, evaluate and compare pros and cons, make recommendations; contribute to generative AI-driven robotic and automation system development projects
• Validate new concepts for systems or methods, by using virtual models, simulations and physical prototypes
• Design and develop physical / software modules, programs, and other system components
• Testing and validating the systems / solutions developed by other project team members
• Develop detailed technical proposals addressing complex industry challenges, including automation, robotics.
• Lead both robotics and automation system / software development projects for both competitive grant-funded research as well as for direct industrial problem statements
• Interact with System Integrators (SI) and vendors to develop and deploy AI-based automation systems in the final operational environment (such as a factory shopfloor or warehouse facility) to meet end-user needs
• Write and maintain technical documentation of the work done in projects, and make presentations

JOB REQUIREMENT

• Bachelor's Degree in Engineering disciplines (Mechanical, Electrical, Electronics, Computer Engineering)
• At least 3 years of experience in developing and deploying industry-ready AI/ML-based robotics and automation systems and/or software
• Strong understanding of smart manufacturing automation systems (IT / OT)
• Strong experience in programming (e.g., Python, C / C++ )
• Good experience in developing robot manipulation programs (e.g., ABB RAPID, URScript, KRL) for different industry applications
• Experience in 3D Simulation tools (e.g., Visual components, Isaac Sim, Gazebo), or willing to learn simulation tools 
• Experience in drafting new system proposals, technical scoping, and cost estimation
• Hands-on experience with industrial robot arms, cobots, PLCs etc. for automation systems / solutions development projects.
• Able to work independently and hands-on for projects to develop robotics / automation systems, without regular supervision.
• Strong problem solving and analysis skills
• Practical knowledge in applying Generative AI, Reinforcement Learning etc. in both simulation and real-life implementations will be a strong plus
• Experience in systems-level modelling and simulation will be a plus (e.g., Simulink)
• Knowledge of Robot Operating System (ROS / ROS 2), UI/UX development etc. will be a plus

We value the following 

Soft skills

 as well:

• Strong communication and interpersonal skills, to interact with different stakeholders at a technical or functional level (with colleagues, management, customers)
• Self-motivated individual with a strong sense of ownership of the assigned tasks, and willing to lead projects when needed
• Good time management skills
• Willingness to learn and master new / unfamiliar tools and technologies
• Flexibility and willingness to work on new tasks, and the ability to adapt to changes

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

• End-to-end project leadership (industry deployment): Plan, execute, monitor and close concurrent AI deployment projects across manufacturing partners, ensuring delivery on scope, schedule, cost, quality and deployment readiness.
• Industry problem scoping & requirements translation: Deep-dive with technical/research teams and industry stakeholders to convert operational pain points into clear requirements, milestones, and acceptance criteria for deployment.
• Cross-functional orchestration: Act as the execution integrator across AI researchers, manufacturing domain experts, AI engineering/productisation teams, Business Development, Ops/Finance/Legal to ensure smooth delivery and fast issue resolution.
• Governance, compliance & reporting: Ensure compliance to programme governance and grantor requirements; drive disciplined reporting to internal and external stakeholders using programme rhythms (e.g., project dashboards / cadence reviews).
• Risk, issue & change management: Proactively manage delivery risks (data readiness, integration constraints, scope creep, partner dependencies) and execute change control to protect outcomes.
• Impact realisation & outcome measurement: Define and track project outcome indicators (e.g., time savings, productivity, defect reduction, planning efficiency), coordinate post-project data capture where required, and package evidence for programme impact reporting.
• Stakeholder management: Manage stakeholder environments spanning industry, public agencies, and  leadership and prepare decision-led updates 

JOB REQUIREMENTS

• Bachelor's degree in Engineering / Industrial Systems / Manufacturing-related discipline
• More than 5 years of project management experience delivering technology projects in manufacturing / production environments (e.g., automation, inspection, planning/scheduling, digital manufacturing, industrial 4.0).
• Demonstrated experience delivering cross-functional, multi-party projects, preferably involving AI/analytics, digitalisation, or industrial software deployments.
• Working understanding of manufacturing operations and production technologies (e.g., MES/ERP, shopfloor data, process flows, quality systems, maintenance workflows, automation contexts).
• PMP / Agile certification is advantageous.
• Strong project execution discipline: scope/schedule/cost control, risk management, and governance compliance.
• Strong stakeholder management and communication skills; confident interfacing with industry leaders and cross-functional internal teams.
• High adaptability and structured problem solving; able to navigate ambiguity typical of R&D-to-deployment work.

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

• End-to-end project leadership (industry deployment): Plan, execute, monitor and close concurrent AI deployment projects across manufacturing partners, ensuring delivery on scope, schedule, cost, quality and deployment readiness.
• Industry problem scoping & requirements translation: Deep-dive with technical/research teams and industry stakeholders to convert operational pain points into clear requirements, milestones, and acceptance criteria for deployment.
• Cross-functional orchestration: Act as the execution integrator across AI researchers, manufacturing domain experts, AI engineering/productisation teams, Business Development, Ops/Finance/Legal to ensure smooth delivery and fast issue resolution.
• Governance, compliance & reporting: Ensure compliance to programme governance and grantor requirements; drive disciplined reporting to internal and external stakeholders using programme rhythms (e.g., project dashboards / cadence reviews).
• Risk, issue & change management: Proactively manage delivery risks (data readiness, integration constraints, scope creep, partner dependencies) and execute change control to protect outcomes.
• Impact realisation & outcome measurement: Define and track project outcome indicators (e.g., time savings, productivity, defect reduction, planning efficiency), coordinate post-project data capture where required, and package evidence for programme impact reporting.
• Stakeholder management: Manage stakeholder environments spanning industry, public agencies and leadership, and prepare decision-led updates 

JOB REQUIREMENTS

• Bachelor's degree in Engineering / Industrial Systems / Manufacturing-related discipline
• More than 5 years of project management experience delivering technology projects in manufacturing / production environments (e.g., automation, inspection, planning/scheduling, digital manufacturing, industrial 4.0).
• Demonstrated experience delivering cross-functional, multi-party projects, preferably involving AI/analytics, digitalisation, or industrial software deployments.
• Working understanding of manufacturing operations and production technologies (e.g., MES/ERP, shopfloor data, process flows, quality systems, maintenance workflows, automation contexts).
• PMP / Agile certification is advantageous.
• Strong project execution discipline: scope/schedule/cost control, risk management, and governance compliance.
• Strong stakeholder management and communication skills; confident interfacing with industry leaders and cross-functional internal teams.
• High adaptability and structured problem solving; able to navigate ambiguity typical of R&D-to-deployment work.

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.

About the Role
We are looking for a Senior/Research Engineer who is eager to apply software development, and optimisation techniques to solve real-world challenges in manufacturing planning, scheduling, and inventory management. This is an excellent opportunity to grow your career by working on cutting-edge AI-powered applications that drive smarter and more autonomous manufacturing operations. 

Key Responsibilities
* Develop and maintain enterprise planning, scheduling, and inventory applications.
* Build scalable microservices and user-friendly interfaces using C# .NET and Angular.
* Apply Agentic AI technologies to enhance human-AI collaboration in planning and scheduling.
* Explore and implement optimisation methods for complex scheduling and resource allocation problems.
* Support deployment and monitoring of applications in production environments.
* Collaborate closely with senior engineers, researchers, and cross-functional teams.
* Document technical designs, code, and workflows for easy maintenance and knowledge sharing.
* Assist in troubleshooting, debugging, and improving performance for scalability and efficiency.

Job Requirements
* Bachelor's degree in AI, Computer Science, Engineering, or a related field.
* Minimum of 3 years of experience in software development.
* Strong programming skills in C# .NET and Angular.
* Good knowledge of manufacturing planning, scheduling, and inventory workflows.
* Familiarity with Generative AI and its applications in decision support systems.
* Basic understanding of optimisation algorithms for scheduling and resource management.
* Exposure to Docker, Kubernetes, CI/CD pipelines, and cloud/on-premises environments.
* Problem-solving mindset with strong analytical skills and attention to detail.
* Eager to learn, proactive, and collaborative with a positive attitude.
* Good communication skills for working effectively in a team environment.

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.

Scientist/Senior scientist will be part of heterogeneous integration group focused on development of the quantum packaging technology platforms to integrate qubit and control chip on superconductivity interposer.

He/she will work with cross functional team to:

• Develop process integration for superconducting nanowire base photo detectors.
• Test vehicle design and layout of a superconducting qubit and cryogenic interposers.
• Process development for quantum packaging. Develop design rules and PDK for quantum packaging technologies.
• Provide quantum packaging solutions to meet the system requirements based on simulation results.
• Prepare competitive grant research proposals and lead execution of these proposals.
• Engage industry partners to align and develop the building blocks required for next generations quantum packaging platforms.

Responsibility:

• Lead the integration of quantum interposer, quantum devices and related test vehicle development.
• Process requirement of the components based on the simulation results.
• The testing of the components of superconducting qubit
• Process development for quantum packaging
• Establish design rules and PDK for the components of superconducting qubit.
• Work with technical and business development team to initiate new industry consortium projects with supply chain companies.
• Collaborate with other programs, A*STAR institutes, IHLs for research grant projects proposals preparation.
• Collaborate with equipment, materials suppliers, and end user for the development of quantum packaging technologies.

Requirements:

• PhD in quantum computing; Electrical and Computer Engineering; Physics, Chemistry, Material science and related areas
• 4 to 5 years' experience in process integration, preferrable related to quantum devices and interposers.
• Understanding of quantum devices and circuits will be preferred.
• Working experience on measuring loss and dielectric constants of materials at cryogenic temperatures
• Effective communication, industry awareness, and critical thinking skills

The Heterogeneous Integration Department at the Institute of Microelectronics (IME) is seeking a passionate and skilled Research Engineer or Senior Research Engineer 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 characterization. The position provides an exciting opportunity to contribute to groundbreaking technologies and collaborate with a dynamic team of researchers and external stakeholders.

Key Responsibilities

• Research and develop advanced fine-pitch flip-chip & hybrid bonding techniques for chip-to-wafer, emphasizing bonding parameter optimization and process enhancements.
• Interposer and Hybrid Bond pad fabrication for Flip Chip and Hybrid bonding applications
• Optimize Chip to wafer hybrid bonding processes, including the selection of low-temperature organic and inorganic bonding materials, surface preparation, and bonding methods.
• Conduct engineering experiments for process characterization to drive quality and yield improvements.
• Perform reliability characterization of flip-chip or hybrid-bonded packages to ensure robustness and long-term performance.
• Lead capability development projects with manageable risks and mentor less experienced colleagues.
• Collaborate with senior staff and principal investigators to develop process capability and new.
• Inspire and mentor talent in semiconductor technology, contributing to workforce development in the field.

Qualifications and Skills

Candidates should meet the following criteria:

• Educational Background: Bachelors in Materials Science and Engineering, Mechanical or Chemical Engineering, Electronics, Electrical and Computer Engineering, or a related field.
• Experience: 1 to 6 years of experience in microelectronic devices, circuits, and hybrid component integration, 2.5D/3D heterogenous integration applications.
• Technical Expertise: Hands-on experience in flip chip bonding is preferable
• Knowledge: Knowledge of hybrid bonding equipment technologies and bonding materials and methodologies, and reliability characterization is preferable, but not mandatory.
• 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.

What We Offer

• The opportunity to work on cutting-edge research in advanced packaging and heterogeneous integration.
• A collaborative and interdisciplinary work environment.
• Access to state-of-the-art facilities and resources.

Join us in shaping the future of semiconductor technologies and heterogeneous integration. Apply today!

Key Responsibilities:

• The postdoctoral applicant must demonstrate commitment to co-create impactful discoveries in the microbiome gut-brain neuroscience field with us.

• In addition to being exceptionally motivated, having core skills for animal and lab work, and willing to work in our team and help with essential lab duties.

• The candidate must have experience and specialized expertise in multiphoton/ 2-photon in vivo calcium imaging and data analysis, or in gnotobiotic studies and microbiome analysis/bioinformatics.

Key Competencies/Requirements:

• Hold a doctoral (PhD) degree in neuroscience or relevant disciplines with strong publication track record

• Lead impactful work within the lab’s research theme on the microbiome gut brain neuroscience

• Exhibit proficiency in mice/rodent handling, optogenetics and behaviours, animal surgery and dissection

• Demonstrate experience and specialized expertise in multiphoton/ 2-photon in vivo calcium imaging and data analysis, or in gnotobiotic studies and microbiome analysis/bioinformatics

• Be highly motivated and conscientious, able to work independently and with a team, and willing to teach, learn, and assist with essential lab duties

We regret that only shortlisted candidates will be notified.

Job Summary

We are seeking a highly organized and technology-driven professional to oversee inventory management within a semiconductor cleanroom environment. This role ensures accurate tracking and control of cleanroom materials such as wafers, FOUPs/FOSBs, chemicals, and consumables, while leveraging AI and digital platforms to improve operational efficiency, traceability, and inventory optimization.

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Key Responsibilities

FAB cleanroom Inventory and Materials Management

• Oversee and maintain accurate inventory records for cleanroom materials including wafers, FOUPs/FOSBs, chemicals, spare parts and consumables.
• Track material movements across facilities, labs, or cleanroom areas and ensure proper documentation.
• Conduct routine inventory checks, cycle counts, and reconciliation to maintain data accuracy.
• Monitor stock levels and coordinate with planning, procurement and operations teams to prevent shortages or excess inventory.
• Ensure proper storage, labelling, and handling of cleanroom materials in compliance with contamination control standards.

Digitalization & AI Integration

• Implement and utilize digital platforms or AI tools to enhance inventory tracking and traceability.
• Develop digital dashboards and automated reports for real-time visibility of inventory status.
• Apply data analytics or AI-assisted forecasting to optimize inventory planning and usage.
• Support the integration of inventory data with ERP, MES, or digital supply chain systems.

Process Optimization

• Identify opportunities and initiate, to automate or digitalize manual inventory processes within the cleanroom environment.
• Improve material flow efficiency between cleanrooms, labs, and storage locations.
• Support initiatives related to smart manufacturing, Industry 4.0, or digital transformation.

Compliance & Documentation

• Ensure inventory practices comply with cleanroom protocols, safety standards, and internal audit requirements.
• Maintain proper documentation for material movement, storage, and disposal.
• Support SOP development and process documentation for inventory management systems.

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Preferred Skills

• Experience managing FOUPs, FOSBs, wafer logistics, spart parts or chemical inventories.
• Familiarity with cleanroom contamination control practices.
• Knowledge of digital supply chain, smart manufacturing, or Industry 4.0 technologies.
• Ability to develop data-driven insights for operational improvements.

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Requirements

• Diploma or Degree in Supply Chain Management, Engineering, Semiconductor Technology, Data Analytics, or related field.
• 2–5 years of experience in inventory control, logistics, or operations within a cleanroom or semiconductor environment.
• Familiarity with cleanroom protocols and handling of semiconductor materials.
• Experience with ERP, MES, or inventory management systems.
• Knowledge of AI tools, digital dashboards (e.g., Power BI), automation platforms, or data analytics tools is advantageous.
• Strong analytical skills with attention to detail and process improvement positive mindset.

Job Description

• Responsible for MEP Design, taking off BOQ, sourcing the quotation and prepare quotation.
• Lead the development and submission of high-quality M&E tenders, ensuring compliance with all client requirements and deadlines.
• Attend site visit for tender briefing.
• Interpretation of tender specifications, client requirement, drawings and any other relevant documents; not limited to Project Presentation, Schedule of Rates, Technical Data, Risk Assessment, Bill of Quantity and documents needed for Tender Submissions.
• Understand how to do MEP design to comply with Singapore Standard
• Liaise with suppliers and contractors to get proposals/quotations and carry out evaluation
• Conversant with Singapore building codes and regulations
• Provide guidance and support to project teams in the implementation of successful M&E practices.
• Ensure adherence to company policies and procedures throughout the tender process.

Job Requirements:

• Minin Diploma or Degree in Electrical Engineering
• At least 5 years of relevant working experience in Interior Fitting Out M&E Works
• Preferably have knowledge on how to prepare M&E technical design, technical write-up, prepare tender specifications and presentation slide for tender interviews
• Strong in Tender Presentation Skill
• Highly self-motivated, good working attitude with high level of professionalism & integrity
• Excellent written and verbal communication skills.
• This position is only open to Singapore citizens and Permanent Residents.