Total 161 Full-time Senior Executive science rd research job vacancies in Malaysia

We are looking for highly motivated and talented researchers to join our interdisciplinary team working on advanced modelling of complex large-scale urban systems, with a particular focus on land use, transport, and the built environment.

This role will involve developing, applying, and refining computational models to better understand urban dynamics, including how land use and transportation interact with the physical, social, and economic environment.

They will work with a collaborative and interdisciplinary team of scientists and engineers that have a passion in understanding the dynamics of large-scale socio-technical systems such as urban transportation (either land, air and/or sea) as well as the relationship between the built environment and social outcomes (such as health or behavioural outcomes across different population segments).

Shortlisted candidates would have the opportunity to work with various external collaborators, either from government and/or industry and work on high-impact real-world research problems, in which they will apply various computational tools such as modelling and simulation and AI to derive insights that can inform urban policy and planning.

Requirements

• Ph.D in Physics, Engineering, Data Science, Geography, or related fields

• Proficiency in Python or R with experience in geospatial and/or statistical packages

• Relevant research/project experience in either of these fields:

o Spatial analysis / Geospatial information system (GIS)

o Transportation and urban systems

o Agent-based modelling / network analysis

• Demonstrated experience in applying geospatial and/or statistical analysis or other relevant analytics tools on real urban problems would be highly desirable

• Experience working on large scale real-world datasets as well as knowledge of social dimension in urban planning would also be a plus

• Good written and verbal communication skills

• Ability to work effectively in an interdisciplinary research environment both individually as well as in a team, with a strong interest in collaborative research and policy impact

About the Job

The Singapore University of Technology and Design (SUTD) is seeking a highly motivated and skilled Research Assistant to support a research project focused on leveraging multimodal Large Language Models (LLMs) to enhance user intention understanding and decision-making process, particularly in the area of recommender systems. The successful candidate will work closely with faculty and researchers to design, implement, and evaluate novel methods that integrate LLMs for more intelligent user understanding and decision-making systems. This position offers a unique opportunity to contribute to cutting-edge AI research with real-world impact.

What You'll Do

• Conduct research on applying LLMs to improve the user intent understanding and decision-making process.
• Develop and implement experimental prototypes and evaluate model performance.
• Conduct literature reviews and contribute to the writing of research papers and reports.
• Collaborate with team members and participate in regular research discussions.

Who We're Looking For

• A Bachelor’s degree in Computer Science, Artificial Intelligence, Data Science, or a related field.
• Proven research experience, particularly in user modeling, personalization and decision-making process and recommender systems.
• Strong programming skills (e.g., Python, PyTorch, TensorFlow).
• Excellent written English communication skills.
• Self-motivated, independent, and passionate about research.
• Familiarity with prompt engineering, fine-tuning LLMs, or knowledge distillation is a plus.
• Experience with publishing in academic conferences or journals is a plus.

The Signature Research Programme in Health Services Research and Population Health is looking for candidates with either undergraduate or masters training in economics or related disciplines to support our growing portfolio of econometric / statistical analysis and decision analytic modelling projects.

Job Description

This position will report directly to Senior Health Economists in the Health Economic Evaluation Lab and offers an excellent opportunity to develop and refine in demand skills in applied health economics and to be co-author on publications. Successful candidates will assist with high value health economic research endeavours and perform a variety of functions, such as:

• Execute econometric and other statistical analyses.
• Build decision trees, markov and micro-simulation models for use in cost effectiveness analyses.
• Conduct literature reviews.
• Prepare sections of surveys, analysis plans, manuscripts, reports and grant proposals with a goal toward producing high quality research outputs.
• Act as a Teaching Assistant for the Health Economic Evaluation Graduate Certificate Program.
• Perform other related duties assigned by the Principal Investigators in support of these efforts.

Job Requirements

• Bachelor’s Degree / Master’s Degree in Economics, Health Economics or other related disciplines.
• Prior research experience in Cost Effectiveness modelling and Econometrics is highly desirable.
• Have experience in quantitative data and statistical analyses (preferably with health-economic data) with modelling packages such as R or STATA.
• Proficient with Microsoft Office Suite and AI tools.
• Possess strong verbal and written communication skills in English.
• Able to multi-task and work productively in teams.

We regret that only shortlisted candidates will be notified.

A Senior Research Fellow position as an expert in structural biology is available at the School of Biological Sciences, Nanyang Technological University (NTU). The candidate should have technical experience and knowledge in the areas of mycobacterial enzymes, setting up of cryo-EM and cryo-ET experiments, their data analysis and structure determination. The candidate will provide leadership, communication skills and mentoring to students working in the team.

For more details, please view https://www.ntu.edu.sg/sbs.

We are seeking a highly experienced senior scientist with expertise in structural biology, particularly in protein chemistry and cryo-EM. The successful candidate will play a key role in driving research on mycobacterial enzymes and multi-subunit membrane-embedded complexes, contributing both technical expertise and leadership to the team.

Key Responsibilities:

• Lead and conduct research on the 3D structure determination of mycobacterial enzymes and large protein complexes.

• Set up and perform cryo-EM and cryo-ET experiments, including data collection, processing, and structural analysis.

• Provide mentorship to students and junior researchers in the lab.

• Communicate research findings effectively and contribute to collaborative projects.

Job Requirements:

• PhD in structural biology, biochemistry, or a related field with at least of years of relevant experience.

• Extensive technical experience in protein chemistry, protein engineering, and 3D structure determination of large/multi-subunit membrane enzyme complexes.

• Proven expertise in cryo-EM experiment design, execution, and data interpretation.

• Strong communication and leadership skills, with a track record of mentoring students or junior scientists.

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.

We regret that only shortlisted candidates will be notified.

The Centre of Excellence in Maritime Safety (CEMS) is a national R&D centre, a collaborative effort between Singapore Polytechnic and the Singapore Maritime Institute. We focus on developing innovative digital solutions and training systems to enhance maritime safety. Our state-of-the-art research facilities, including South-east Asia's first navigation research simulator, setting us as an innovation champion.

About the Role

The appointee will be part of the CEMS AI & Software team in developing digital solutions to enhance simulator training and assessment, innovate in training pedagogy for the maritime industry. The role may also involve contributing to department- and school-level software initiatives that support digitalisation and automation across R&D, operations, and education.

Responsibilities:

• Lead projects and provide technical contributions across the full software development lifecycle (SDLC), including requirements gathering with industry partners and internal stakeholders.

• Work closely with the AI team at CEMS to deploy and integrate AI solutions—such as Natural Language Processing, computer vision, and data analytics —into simulation platforms to enhance training and assessment capabilities.

• Collaborate with third-party simulator technology and solution providers to design and develop reusable code libraries and scalable APIs for integration and interoperability.

• Drive improvements to existing software systems by identifying performance bottlenecks, refactoring codebases, and enhancing maintainability and scalability.

• Contribute to the conceptualization, proposal development, and implementation of new research and development projects aligned with CEMS’s strategic objectives.

• Guide junior software engineers and student interns in software development best practices, code quality, and project execution.

• Prepare and deliver regular project updates and technical presentations for CEMS Governing Board and senior management meetings.
  

  Requirements:

  • Relevant qualifications in Computer Science, Computer Engineering, or a related field.

  • Relevant experience in the following areas: Production-grade software development, Backend and/or frontend application development, RESTful API design and implementation using modern frameworks (e.g., ASP.NET Core, Spring Boot, Django, Express.js)

  • Strong programming skills in one or more modern languages (e.g., C#, C++, Java, Python), with the ability to quickly learn new technologies and frameworks.

  • Experience working with relational and non-relational databases (e.g., MySQL, Oracle, MongoDB).

  • Good understanding of object-oriented design, software design patterns, and CI/CD practices.

  • Familiarity with version control systems (e.g., Git, GitLab).

  • Hands-on experience with containerization tools such as Docker.

  • Ability to build quick prototypes, tools, or scripts to support development or testing.

  • Strong interpersonal, verbal, and written communication skills; effective in collaborative and fast-paced environments.

  • Experience with end-to-end AI solution implementation using frameworks such as TensorFlow or PyTorch is a plus.

Project Overview

This project aims to develop a real-time blood analysis and diagnostic platform using an integrated microfluidic chip. This platform uses precision microfluidic technology to process and profile the biological activity of white blood cells which is related to a host of inflammatory conditions ranging from diabetes, sepsis to leukemia. The platform developed will enable point-of-care diagnosis of diseases and this project will accelerate the platform from bench to bedside through the development, deployment and testing of clinical samples.

This Engineering position offers a rare opportunity to bridge the gap between laboratory discovery of new technologies and real-world implementation of clinical deployment and testing. 

Responsibilities

The engineer is responsible for the design, prototype, manufacturing and testing of the medical device. This involves the use of with computer-aided design prototyping, setting specifications and assembly of mechnical/electrical components, testing and deployment of device for field testing.

Responsibilties include:

- To work closely with a team of clinical, mechanical/software engineers and data scientist for the medical device design and prototyping. Gather feedbacks on prototype designs by end-users.

- To Validate designs by analysing data gathered from component or system level testing. Use benchmarking techniques to characterise component and device performance.

- To ensure proper documentation of design history files and standardization of data storage for reports, presentations, technical and administrative documents.

- To source for vendors and components to ensure manufacturability and cost of medical device.

- To support the team for maintenance of equipment, inventory and purchases.

Requirements

- Bachelors/Masters in Mechanical, Electrical, Biomedical Engineering with at least 1 years of experience in hardware prototyping and/or microfluidic operations.

- Rapid prototyping experience in areas such as 3D printing, laser cutting, CNC, injection molding, microcontroller/microprocessor programming and relevant skills in embedded system.

- Prefered experience in commercial manufacturing, R&D project management and hardware testing/certification.

- Excellent debugging skills and strong ability to root cause, isolate and solve software/hardware system issues.

- Fluent in C++, Python (3.X) and relavent coding languages for software-hardware integration.

- A desire to deliver a quality and innovative medical diagnostic product that improves many people’s lives.

- Good communication and managing skills are important to work with colleagues efficiently in addition to creativity to solve problems and find improvements on products and processes already in place.

- Required experience and knowlegde to read or write scientific publications, patent search, schematics and data sheets for hardware components.

- Able and commited to work in Singapore. Willing to commute and meet regularly with vendors and collaborators at NUS, NUH, and partnering hospitals.

- Strong documentation and writing skills

- A desire to deliver a quality and innovative medical diagnostic product that improves many people’s lives.

Relevant Skills

2D/3D Computer Aided Designs, C++, Python, Operating CNC/3D printers, basic use of machine tools, electronics circuit design, Github 

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

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

This role will be based at Menara Skymind.

We are seeking a highly skilled and experienced Senior Research Analyst, Consulting to independently manage and execute complex custom research projects. This role focuses on delivering strategic insights, driving innovation in research processes, and ensuring alignment of custom research deliverables with client and organizational objectives.

Key responsibilities:

• Lead the successful, on-time delivery of custom research projects, ensuring the availability of high-quality, accurate, and validated data to support market analysis and research deliverables.
• Design and implement advanced workflows for data acquisition, cleansing, and processing, leveraging tools and methodologies to ensure robust and reliable datasets.
• Conduct primary research interviews with key industry contacts, synthesizing findings into actionable insights.
• Perform in-depth secondary research using credible sources such as trade journals, public reports, financial releases, and industry publications to gather comprehensive data for market intelligence.
• Build, validate, and maintain large-scale datasets and market analysis, ensuring alignment with product objectives, consistency with related markets, and thorough documentation of methodologies and assumptions.
• Drive innovation in research methodologies, tools, and processes, identifying opportunities to enhance efficiency, quality, and effectiveness in research execution and delivery.
• Mentor and guide junior team members, fostering a culture of collaboration and supporting their professional development to enhance team capabilities.
• Collaborate with senior stakeholders and cross-functional teams to align research outputs with strategic objectives and ensure the delivery of high-value insights.

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/Senior-Research-Fellow-%28%C2%B9%E2%81%B7%E2%81%B6Lu%E2%81%BA-Optical-Clock-Laboratory%29/33440-en_GB/

We regret that only shortlisted candidates will be notified.

About the Centre for Quantum Technologies (CQT)

The Centre for Quantum Technologies (CQT) in Singapore brings together physicists, computer scientists and engineers to do basic research on quantum physics and to build devices based on quantum phenomena. Experts in this new discipline of quantum technologies are applying their discoveries in computing, communications, and sensing.
CQT is hosted by the National University of Singapore. The Centre also has staff at the Agency for Science, Technology and Research, Nanyang Technological University, Singapore, and the Singapore University of Technology and Design. With some 200 staff and students, it offers a friendly and international work environment

Learn more about CQT at https://www.cqt.sg/

Job Description

The Barrett group at CQT is the world's leading laboratory developing ¹⁷⁶Lu⁺  as an optical clock species. Lutetium-176 offers exceptionally low sensitivity to blackbody radiation shifts and a highly favourable systematic
uncertainty budget, making it a compelling candidate for next-generation optical timekeeping. Our programme isactively pushing towards multi-ion clock architectures — including linear ion crystals and multiplexed trap arrays —to surpass the quantum projection noise limits of single-ion operation and achieve unprecedented clock stability atshort averaging times. A key aim of the programme is to translate this technology into a commercialisable turnkeysystem for deployment at Singapore's National Metrology Centre (NMC).

We are seeking an exceptional Senior Scientist to lead experimental research within our ¹⁷⁶Lu⁺ optical clockprogramme at the Centre for Quantum Technologies (CQT), Singapore. This is a senior individual-contributor
position at the cutting edge of precision quantum metrology, with direct impact on international timekeeping,tests of fundamental physics, and Singapore's national measurement infrastructure.The successful candidate will drive original research, take ownership of key experimental subsystems, mentor junior researchers and graduate students, engage with industry and national metrology partners, and contribute to the long-term scientific and translational roadmap of the laboratory.

Key Responsibilities

• Lead the design, development, and operation of ion trap systems for ¹⁷⁶Lu⁺, including the engineering of novel trap geometries suited to multi-ion clock operation..
• Drive the experimental realisation of multi-ion clock configurations: ion crystal preparation, laser cooling, and correlated interrogation schemes for stability beyond the standard quantum limit.
• Develop and maintain ultra-stable laser systems and optical frequency infrastructure, including cavity-stabilised clock lasers and optical frequency combs.
• Contribute to optical frequency comparison and dissemination capabilities, including fibre-link and satellite-based clock comparisons.
• Work closely with local industry and metrology partners to develop a commercialisable turnkey ¹⁷⁶Lu⁺ clock system suitable for implementation at the A*STAR National Metrology Centre (NMC).
• Mentor postdoctoral researchers and PhD students; contribute to grant applications, scientific reporting, and laboratory operations.

Required Qualifications

• PhD in Physics with specialisation in AMO physics, precision metrology, or quantum information science.
• Demonstrated track record of high-impact independent experimental research evidenced by peer-reviewed publications.
• Hands-on expertise in ion trapping: rf Paul traps, trap fabrication or characterisation, micromotion compensation, and laser cooling of atomic ions.
• Proficiency with ultra-stable laser systems: cavity-stabilised lasers, laser locking, optical frequency chains, and electro-optic/acousto-optic control.
• Strong experimental skills in ultra-high vacuum technology, optical design, and precision rf and digital electronics.
• Excellent written and oral communication skills with the ability to present complex results to both specialist and general audiences.

Preferred Experience

Cryogenic ion traps

Experience operating ion traps at 4 K or below, including pulse-tube or dilution refrigerator integrationand cryogenic rf delivery.

Multi-ion architectures

Ion crystal formation and control, mixed-species crystal operation, or multiplexed trap-array design and characterisation.

Optical frequency metrology

Optical frequency comb operation, absolute frequency measurement, or fibre-based optical clock comparison and dissemination.

Experimental automation

Python-based experiment control, FPGA or ARTIQ sequencing, and real-time digital feedback for clock servo loops.

Additional Information

What we offer:

• Competitive, commensurate with experience.
• Dedicated equipment & travel allowance.
• World-class research hub at the NUS campus in Singapore.

To apply, please submit a CV, a research statement describing your relevant expertise and vision for the Lu+ clock programme (max 2 pages), and the names of three referees. Applications are reviewed on a rolling basis — early submission is encouraged. Inquiries should be directed to Prof. Murray Barrett at phybmd@nus.edu.sg

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

Key Responsibilities

• Develop data-driven energy disaggregation models to estimate machine-, process-, and batch-level energy consumption from aggregated or limited metering data.
• Design and implement energy monitoring, analytics and benchmarking algorithms for energy performance tracking, anomaly detection, and causal analytics related to energy-saving of industrial equipment and manufacturing processes.
• Conduct experiments, model validation, and performance evaluation using industrial datasets.
• Work closely with project partners, engineers, and researchers to translate research outcomes into deployable industrial solutions.

Requirements

• Bachelor’s or Master’s degree in Electrical Engineering, Mechanical Engineering, Computer Science, Data Science, Industrial Engineering, or a related field.
• Strong programming skills in Python, with experience in data analytics, machine learning, and time-series processing.
• Knowledge of energy systems, power consumption analysis, industrial equipment, or manufacturing processes.
• Experience with machine learning techniques for regression, classification, anomaly detection, forecasting, or signal disaggregation.
• Ability to process and analyze large-scale time-series datasets.
• Good problem-solving skills and ability to work independently in applied research and development projects.
• Good written and verbal communication skills.

Preferred Qualifications

• Experience in non-intrusive load monitoring, energy disaggregation, virtual sensing, or industrial energy analytics.
• Experience with deep learning frameworks such as PyTorch or TensorFlow.
• Experience with causal analytics.
• Knowledge of manufacturing systems, additive manufacturing, CNC, heat treatment, pumps, compressors, motors, or other industrial equipment.
• Prior experience in applied R&D projects with industry partners is an advantage.

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.

You will be part of the research team under the Heart Protection theme at the National Heart Research Institute of Singapore (NHRIS), National Heart Centre of Singapore (NHCS), dedicated to developing innovative strategies to prevent and treat heart injury. Our multidisciplinary group integrates cardiovascular biology, nanotechnology, drug delivery, disease modelling, and translational science, collaborating closely with clinicians, engineers, and scientists across NHCS and Duke–NUS to accelerate the development of therapies from bench to bedside. Our team culture values rigour, teamwork, innovation, and translational impact, offering a dynamic environment for scientific growth.

You will support ongoing research projects in therapeutic development and contribute to a range of molecular experiments and formulation work, including RNA synthesis, modification, and purification, as well as the preparation and optimisation oflipid nanoparticles (LNPs) and other delivery formulations. You will also conduct in vitro assays encompassing cell culture, molecular analysis, and characterisation, alongside in vivo validation work.

Beyond experimental responsibilities, you will maintain accurate laboratory records and ensure proper documentation throughout. You will support general lab operations — including reagent preparation, equipment maintenance, and purchasing — while working collaboratively as part of a multidisciplinary team.

Jobrequirements:

• Bachelor’s degree in chemistry/ Materials Science, Molecular Biology, Biomedical Science, or related fields

• At least 2 years’ experience either in RNA therapeutics/ RNA synthesis/ RNA biology, or in Chemical synthesis/ LNP delivery

• Strong hands-on laboratory skills and experimental troubleshooting ability

• Good communication and organisational skills

• Documented proof of:

(i) Measles (or MMR - Mumps, Measles and Rubella) vaccination or serological evidence of measles immunity; and

(ii) Tdap (Tetanus, Diphtheria and Pertussis) vaccination received within the last 10 years, as required for all healthcare workers under the Healthcare Services Act. Applicants without these vaccinations may apply if they commit to completing the required vaccination(s) before work commencement, upon successful job offer.

This role will be based at Menara Skymind. 

We are looking for a Senior Research Analyst to join our Manufacturing Technology team in Penang. 

• Scoping : use customer-centric feedback to direct minor scope changes, ensuring research remains fresh and relevant while understanding customer needs and questions to enhance research cycles and add value
• Writing and Thought leadership – providing qualitative analysis to support and justify data, focusing on change and development, and developing concise outputs using text plans and structured outlines while discussing the impact of technology and key market trends in written deliverables or market briefing sessions. 
• Sales support –  Partner with the sales team to generate new leads, progress existing leads, and support renewals, using scoping insights to evolve the research offering and align with client needs. 
• Event support – Collaborate with the events team to showcase research and strengthen Omdia’s position in the industry, gathering intelligence at events to develop new research propositions.
• Primary research – Conducting interviews with key industry contacts across various company types, attending trade shows, participating in face-to-face visits to build relationships and gather insights, and maintaining a detailed log of interactions and feedback.
• Secondary research –  Utilizing sources such as trade journals, in-house research, trade associations, public reports, financial releases, and company press releases to support primary research.
• Building base data –Build credible base data with sufficient market player coverage, creating estimates, ensuring consistency with related data and markets, and logging all assumptions clearly.
• Forecasting – Generating market projections using primary and secondary research supported by credible sources, logging assumptions, and creating narratives around market development, opportunities, and risks.

Job Description

The Senior Scientist will lead the commissioning, installation and operation ofcontinuous flow equipment and instrument within the AiXL lab.

 Key Roles and Responsibilities:

Acquisition and installation of continuous flow equipment

• Procurement of commercially available modular units that can be assembled to create bespoke continuous flow workflow, including homogeneous and multiphasic reactions
• Implement of appropriate inline analytics to capture real-time data.
• Adopt necessary hardware and software to automate the system and to capture data.

Workflow & Instrument Management

• Establish SOP for different workflows, including thermal chemistry, photochemistry, etc
• Develop new data analytical tools (hardware and software) to expand beyond existing capabilities.

Technical Support & Synergy

• Familiar with Design of Experiments (DoE) and Bayesian Optimization.
• Conduct laboratory personnel training and certify authorized users on continuous flow experiments.

Operational Excellence

• Ensure strict compliance with Health, Safety, and Environment (HSE) requirements, including chemical storage and waste disposal.
• Manage procurement operations for laboratory supplies, equipment consumables, and services.
• Participate in R&D project meetings to provide technical insights and progress updates.

Job Requirements
Educational & Professional Experience

• Background: PhD in Chemistry or Chemical Engineering, preferably in continuous flow
• Expertise: Working knowledge in constructing flow reactors, and to collect data using inline analytics.
• Specialization: Proven experience in automation, and data-driven workflow.

Technical Skills

• Programming: Proficiency in Python for data automation and processing is essential.
• Data Science: Familiarity with Design of Experiments (DoE) and Bayesian Optimization workflows.
• Systems: Knowledge of electronic laboratory information systems (LIMS) or digital analytical data handling platforms is a significant advantage.

Soft Skills & Attributes

• Motivation: Highly motivated individual capable of driving the digitalization of traditional laboratory workflows.
• Communication: Strong interpersonal skills for interacting with internal R&D teams and external industry stakeholders.
• Reporting: Ability to produce high-quality written reports and deliver technical presentations.
• Safety Mindset: Uncompromising commitment to laboratory safety and general housekeeping standards.

This position will be responsible for providing quality repair and carrying out preventive maintenance service of etch / clean / deposition equipment at customer sites. Other activities include installation, relocation of customer equipment, performing associated start-up and check-out activities.

• Install and/or relocate equipment at customers’ sites. Conduct associated start-up, cut over and check-out activities on the newly installed systems
• Provide warranty tool support or paid service for out-of-warranty tool by performing on-site general preventive maintenance of equipment and attending to equipment abnormalities. Co-ordinate all service actions with customer to minimize downtime or system interruptions
• Apply troubleshooting techniques to eliminate equipment malfunctions. Conduct diagnostic procedures to isolate problem. Assess severity of malfunctions and determine corrective actions required or escalate for assistance and prompt resolution. When necessary, replace defective units, components or parts where appropriate
• Liaise and co-ordinate with customers in relation to short-term defect work
• Implement field modifications or updates as released in Engineering Change Orders (ECOs) which may involve removal and installation of assemblies, sub-assemblies, systems and subsystems
• Carry out Tier 2 process qualification work
• Prepare and maintain accurate logs, service records, part usage documentation, diagnostic updates and other management reports
• Professionally represent the company to the customer. Utilize knowledge of company’s product lines and services to keep existing / potential customers informed when new/additional needs are identified
• Develop good customer relations during installation and execution of service contracts
• Maintain company’s assigned equipment (computer, tool kit, diagnostic test equipment, spare parts etc) in good working condition, secure and accounted for
• Ensure safe working condition at work site
• Any other duties as assigned by the Immediate Supervisor

Job Requirements

• Engineering degree or equivalent
• Good communication and interpersonal relations skill
• Able to actively engage customers on technical solutions
• Able to work in Fab environment and perform shift & standby duties
• Must be able to wear personal protective clothing which comprises of air respirator equipment, clean room garments and safety shoes
• Willing to support short term, overseas assignment

This position will have responsibility for providing process support and installation of new plasma etch / clean / deposition systems at customer sites. This includes design, evaluation and documentation of process window for new installations or Lam recommended field hardware modifications / upgrades.

1. Work closely with Account team and customers to understand customer technology roadmaps, process flow, inflection points, requirements and business issues / challenges. Identify areas where Lam is able to value-add.
2. Work with Account team and customers to execute to penetration and defense strategy, including coordinating with Global Product Group on product demonstration
3. Perform startup of “capacity add” Lam systems i.e. match results to existing systems and applications
4. Design and complete simple DOE evaluations to characterize process window for new installations or Lam recommended field hardware modifications / upgrades
5. Conduct experiments and tests, collect and analyze data and generate reports for both internal and external distribution
6. Develop new processes to new and/or existing customer applications
7. Professionally represent the company to the customer. Utilize knowledge of company’s product lines and service to keep existing / potential customers informed when new/additional needs are identified
8. Develop good customer relations during start-up and trouble-shooting
9. Maintain company’s assigned equipment (computer, tool kit, diagnostic test equipment, spare parts etc) in good working condition, secure and accounted for
10. Ensure safe working condition at work site
11. Any other duties as assigned by the Immediate Supervisor

Job Requirements:

1. Engineering degree or Bachelor of Science (in Chemistry / Physics) or equivalent
2. Systematic and has an analytical mind
3. Good communication and interpersonal relations skill
4. Able to actively engage customers on technical solutions
5. Able to work in Fab environment and perform standby duties