Total 197 technical support engineer job vacancies in Education / Training category

Role Description

You will be playing a pivotal role in advancing semiconductor fabrication automation. You will be responsible for deploying and optimizing automation frameworks, integrating IoT hardware/software, and enabling seamless communication between Autonomous Mobile Robots (AMR), SECS/GEM protocols, Manufacturing Execution Systems (MES), and semiconductor tools.

Key Responsibilities

• MES Integration & Vendor Coordination: Collaborate with vendors to evaluate, configure, and deploy robust communication systems between MES, tools, and AMR.
• Software Development & Web UI Creation: Design and develop intuitive web-based user interface for seamless user interaction, system monitoring, and operational control. 
• Automated Data Analytics & Visualization: Generate automated periodic insights, analytics, reports, visualizations, and alerts to support real-time decision-making processes.
• System Maintenance & Optimization: Conduct periodic data integrity checks, implement automated failure alerts, troubleshoot system issues, and enhance automation frameworks with innovative features for existing and new systems.
• Semiconductor Fab Automation: Responsible for proposing/developing/implementing/maintaining IOT automation systems collecting/cleaning/restructuring equipment data and storage in data management system. Create equipment and operator interface enabling the ease of user entry with digital recording 

Job Requirements

• Degree in Microelectronics/Electrical/Mechanical/Chemical Engineering or equivalent
• Technical Proficiency: Strong programming skills in PHP, JavaScript, Python, or other languages commonly used in web technologies and semiconductor automation. 
• Data Analysis & Automation Expertise: Experience in data synthesis, reasoning, and analysis, with a keen ability to develop automation solutions for complex processes. Experience in AMHS (Automated Material Handling System) is a plus. 
• Industry Knowledge: Preferably 1-3 years of MES system administration experience in semiconductor process modules, equipment engineering, or digital transformation/ automation.

As an educator specialist with learning support, you play a vital role in providing early intervention to children, helping them thrive in their learning and development.

• Observe and assess children's needs and evaluate on their progress
• Prepare individual lesson plans for each child who needs learning support
• Conduct lesson with activity that focus on learning domains
• Provide support and share strategies with educators
• Lead training session for educators and parents to enhance learning for the children
• Collaborate with parents and teachers to support development milestone
• Evaluate developmental screenings and learning outcomes
• Build and maintain partnerships with agencies, hospital and therapy centers

Job Requirements:

• Specialist Diploma in Early Childhood Learning Support or equivalent
• Min 2 years experience in Early Childhood Industry and relevant working experience in early intervention

Check out www.abercare.sg for more details.

Interested applicants may send in your resume to career@abercare.sg

Abercare.sg | EA License No. 18C9070 | KOH SU WEN, CLARISSA| Registration No. R24119504

Job Description: Freelance Private Early Interventionist/ Learning Support Educator (1-to-1)

APPLY HERE: https://portal.specialminds.com.sg/?type=service_professional

Company Overview: We are Singapore’s first dedicated matching platform for children with learning or special needs. Our mission is to connect children with freelance professionals across five key areas: Tuition, Early Education, Early Intervention, Therapy & Counseling, and Enrichment Activities. We strive to create a supportive community that bridges students' needs with expert guidance, helping them grow and thrive academically and emotionally.

Position: Freelance Private Early Interventionist / Learning Support Educator (1-to-1)

Responsibilities:

• Provide individualised early intervention and learning support to children with developmental delays, learning difficulties, or special needs.
• Develop and implement customised intervention plans and activities tailored to each child’s unique learning profile and developmental goals.
• Work closely with families, caregivers, and other professionals to monitor progress, adapt strategies, and ensure holistic support for the child.
• Use evidence-based practices to address specific developmental areas such as communication, motor skills, social interaction, and cognitive development.
• Offer guidance and training to parents and caregivers to support the child’s learning and development outside of sessions.
• Keep detailed records of each child’s progress, adjusting the intervention approach as needed to meet evolving needs.
• Stay updated on the latest trends and best practices in early intervention and special education.

Requirements:

• Degree or Diploma in Early Childhood Intervention, Special Education, Psychology, or related fields.
• Certification in early intervention or special needs education is preferred (e.g., Diploma in Early Childhood Intervention – Special Needs, DAS certification, or equivalent).
• Previous experience working with children with special needs or developmental delays in a one-to-one setting.
• Strong understanding of early childhood development and intervention strategies.
• Excellent communication and interpersonal skills, with a compassionate and patient approach to working with children and their families.
• Ability to work independently and customize learning plans based on each child’s progress and needs.
• A passion for helping children with special needs thrive and succeed.

Why Join Us?

• Enjoy Higher Rates: Our rates are adjusted for inflation and aligned with the latest market standards, ensuring you are fairly compensated.
• No More Sudden Cancellations: We collect deposits before the first session, so you don’t have to worry about last-minute cancellations.
• No Wasted Trips: If a client doesn’t show up, you will still receive compensation for the first session.
• One-Time Administration Fee: Any additional sessions or direct referrals won’t incur further administrative fees from Special Minds.
• Boost Your Profile: Gain visibility through the free promotion of your profile on our social media platforms, helping you connect with more clients.
• Meaningful Career: With the growing demand for special needs education (SEN) in Singapore, this is your opportunity to gain valuable experience and build a meaningful career helping students with unique needs.
• Additional Income Opportunity: Take on assignments that fit your schedule and preferences to earn extra income in your free time, or choose full-time opportunities for more consistent earnings!

Compensation:

• Part-Time Tutor: Up to $60/hr
• Full-Time Tutor: Up to $90/hr
• Early Childhood Educator: Up to $70/hr
• MOE/Special Ed Tutor: Up to $140/hr
• Enrichment Specialist (dance, art, swimming, etc.): Up to $120-150 per session
• Therapist (speech, occupational, physiotherapy, etc.):Up to $200-220/hr
• Psychologist: Up to $250/hr
• Counsellor: Up to $150/hr

If you’re passionate about education and want to make a difference in the lives of students with learning or special needs, join us at Special Minds. Together, we can create a brighter future for every child.

APPLY HERE: https://portal.specialminds.com.sg/?type=service_professional

For more information, please visit us at: https://specialminds.com.sg/

If you have further queries, please email us at hello@specialminds.com.sg, or contact us at 8721 8722.

Job Scope:

1. Supporting data generation, such as population surveys and in-depth interviews.
This will involve assisting in fieldwork (e.g. preparing and checking research materials; liaising with vendors; monitoring and responding to public feedback) and quality checks (e.g. monitoring interviewer training, conduct, and performance; and managing and reviewing datasets).

2. Supporting research conceptualisation and analysis.This will involve conducting literature reviews (e.g. source, review, and document findings and other details from research papers, reports, and related sources) and assisting in quantitative data analysis and visualisation (including related tasks such as data checks, cleaning, and merging).

3. Supporting administrative and non-research functions. This will involve assisting with inventory management, coordinating and note-taking for department meetings, and other duties.

Requirements:
We seek candidates who are able to commit to a 12-month contract (full-time)*, able to work independently as well as within a team setting, and who possess:

1. Background in social sciences (e.g. psychology, sociology, economics) and/ orresearch-related experience or training.
2. Good written and verbal communication skills, numeracy skills, with meticulous attention to detail.
3. Familiarity with Microsoft Office tools (e.g. Pivot Table in Microsoft Excel).
4. The following skills will be advantageous:

• Experience with quantitative data analyses (e.g. basic R programming); and/or

• Familiarity with the research process (e.g. handling surveys, in-depth interviews).

*When required, some tasks may take place in thelate afternoons, evenings, and/ or weekends to support in-person surveys. Working hours may be adjusted accordingly, e.g. 2pm-9pm instead of 9am-6pm.

Working Hours: Office Hours

Contract Period: 12 months

Salary: $13-$20/hr (depending on qualifications and experience)

Location: Maxwell

EA License No.: 96C4864

Reg No.: R26159658 BRANN LEONG CHUN HOE

Join the Singapore Kokugo Kyoiku Center at our Valley Point branch. We are a well-established Japanese language school supporting the Japanese community.

Key Responsibilities:
- Provide administrative support (managing student records, handling enquiries via email/phone).
- Assist teachers in classroom management and preparation of Japanese teaching materials.
- Support general operations, including Monday calligraphy (Shuji) classes, to maintain a conducive learning environment.

Requirements:
- Native-level proficiency in Japanese is MANDATORY to communicate effectively with Japanese parents and handle curriculum materials.
- Minimum GCE O-Level or Diploma.
- Meticulous, organized, and reliable. Must enjoy working in an educational setting.

Working Hours:

• Mon, Thu, Fri: 10:00am – 6:00pm
• Sat - Sun: 8:30am – 6:00pm
• Fixed Off-days: Tuesdays and Wednesdays
• (Includes lunch break. Monday shift includes Calligraphy support.)

ASPRI-IPI, the training arm of ASPRI, is a non-profit organisation dedicated to advancing the Process Industry in Singapore. We collaborate with industry leaders, government agencies, and subject matter experts to develop and deliver high-quality training programmes.

Join us on our mission to enhance the skills and safety of the Process Industry workforce, contributing to a safer and more productive industry for Singapore.

Position Overview

This is a 2 months temporary assignment supporting both the Operation and Service Quality units in ASPRI-IPI. This role is paid hourly.

Job Responsibilities include but not limited to:

1. Daily operation

i) Centre Opening (classroom / workshop / ushering / courseware retrieving for classes that have ended)

ii) Attendance taking

iii) Minor ad-hoc request from trainers

iv) Attendance preparation for new classes

v) Courseware packing

vi) Centre Closing (refreshment packing / Courseware storing (new class) / classroom / workshop)

2. Batching

i) Checking of post-courseware and inform Ops on the follow up

ii) Updating and verifying of batch log file to ensure accuracy

3. Evaluation

i) Post-evaluation scanning

ii) Update evaluation log file

iii) Verify evaluation log file

4. Safety Pass

i) Verify safety pass (WSQ/ASTER)

ii) Verify safety pass tracker (Jimily)

You should possess the following:

• Minimum Diploma preferably in Training and Adult Education sector;
• No experience required as On-the-job training will be provided;
• Ability to effectively manage time and schedules under tight deadline and pressure;
• Strong adaptability skill, able to work independently as well as in a team;
• Strong communication skills with good customer service aptitude;
• Proficiency in Microsoft Office and other IT applications;
• Willingness to work a flexible schedule, including shift duties on workday evenings and weekends (OT will be compensated accordingly)
• Working location at Jalan Papan (shuttle pickup at Chinese Garden MRT)
• Immediate starters preferred

Job Overview

We are seeking a motivated and detail-oriented Training Engineer to support the design, development, and delivery of technical training programs for lift and escalator systems. This role is instrumental in enhancing workforce competency, reinforcing safety standards, and driving operational excellence across the organization.

Key Responsibilities

• Design, develop, and deliver structured technical training programs for lift and escalator systems
• Develop high-quality training materials, manuals, and instructional content aligned with training needs
• Conduct engaging classroom and on-site training sessions for technicians and staff
• Evaluate training effectiveness through assessments, feedback, and performance analysis; prepare comprehensive monthly training reports
• Plan, coordinate, and manage training schedules to meet operational and project requirements
• Collaborate with cross-functional teams to identify training needs and align learning initiatives
• Drive continuous improvement through data analysis, feedback collection, and training program enhancements
• Ensure all training activities comply with safety regulations, standards, and company policies
• Manage multiple training programs, projects, and administrative responsibilities concurrently

Requirements

• Bachelor’s Degree in Engineering (Mechanical, Electrical, or related discipline)
• Diploma holders with strong relevant experience will be considered (e.g. 5+ years in lifts/escalators or technical training)
• Strong technical writing and documentation skills
• Excellent presentation, communication, and facilitation skills
• Good analytical thinking and problem-solving capabilities
• Ability to manage multiple priorities in a dynamic environment
• Strong interpersonal skills with the ability to engage stakeholders across departments
• Experience in training, coaching, or knowledge transfer is advantageous
• Prior experience in the lift and escalator industry is preferred but not mandatory
• Only Singaporean and Singapore Permanent Resident need to apply

Preferred Attributes

• Confident and engaging trainer with strong facilitation skills
• Highly organized with strong attention to detail
• Proactive, self-driven, and able to work independently

Benefits

• Training and professional development opportunities (e.g., certifications, courses)
• Clear career progression pathway within engineering and training functions
• Supportive and collaborative working environment
• Opportunity to work on industry-relevant systems and technologies

We are seeking a highly skilled Machine Learning / AI Engineer to design, develop, and fine-tune AI models for a range of advanced applications, including video analytics, object recognition and detection, fraud detection, and multimodal generative AI leveraging large language models (LLMs).

Key Responsibilities

• Model Selection & Optimization: Identify, experiment with, and fine-tune state-of-the-art machine learning models for tasks such as video analytics, object recognition/detection, fraud detection, and multimodal generative AI.

• Deep Learning & LLMs: Work with transformer architectures, foundation models, and generative AI to develop and enhance multimodal AI solutions.

• Computer Vision: Develop and optimize models for real-time object detection, tracking, and recognition in video streams, ensuring performance in diverse conditions.

• Fraud Detection and other anomaly detection: Design and implement machine learning models for anomaly detection and fraud prevention using advanced statistical and AI techniques.

Technical Skills:

• Strong experience in deep learning frameworks such as TensorFlow, PyTorch, or JAX.

• Proficiency in computer vision techniques, including object detection (YOLO, Faster R-CNN), video analytics, and multimodal learning.

• Hands-on experience with LLMs, transformers (GPT, BERT, T5, CLIP, etc.), and multimodal AI for text, image, and video synthesis.

• Experience in fraud detection and/or anomaly detection using machine learning, pattern recognition, and risk modeling.

• Experience in AWS SageMaker for model training and deployment preferred.

• Familiarity with MLOps and deployment on cloud platforms (AWS and/or GCP preferred) or edge devices.

Preferred Qualifications:

• Degree in Computer Science, AI, Machine Learning, or a related field.

• 4 to 5 years of relevant experience

• Experience working with autonomous systems, robotics, or edge AI is a plus.

If the above role is a good fit for you, or if you know anyone who might be good for the role, please get in touch with an updated CV and I'll be in touch!

EA Reg Number: R1660446

EA License Number: 07C3924 

Company Registration No: 200609504D

We are looking for a motivated Research & Technical Support Engineer/Scientist to develop, maintain, and support BEOL furnace processes including BEOL metal anneal, barrier/liner engineering, dielectric curing, hydrogen anneals, and stress‑relief treatments. This role involves both fundamental materials science and hands‑on tool/process ownership in a cleanroom research environment. You will collaborate with R&D teams working on advanced interconnect technologies, photonic integration, 3D integration, and novel dielectric/metallization schemes.

Job Responsibilities:

BEOL Furnace Process Development

• Develop and optimize BEOL thermal processes including Metal anneal, Barrier/liner stabilization, Dielectric curing, Passivation and Stress‑relief anneals
• Perform tool qualification, recipe loading, chamber matching, SPC set up and contamination monitoring.
• Troubleshoot process excursions and ensure stable operations with high repeatability.
• Correlates anneal conditions with film quality, stress, adhesion, and reliability metrics.

Cross‑Functional Collaboration

• Work closely with teams in Photonic IC, Wide-Bandgap Devices, Packaging and reliability for process integration.
• Provide guidance for internal projects on thermal budgets, thermal‑stress implications, and BEOL process compatibility for novel materials and device architectures.

Job Requirements:

• Degree (Bachelor, or Master based on job scope) or above in Electrical Engineering, Materials Science, Mechanical Engineering, Chemical Engineering, Chemistry, Physics or related fields.
• 3 years of working experience in Semiconductor Fabrication is advantageous.
• Hands‑on experience with furnace processing, anneals, or BEOL‑related thermal steps is highly wanted.
• Knowledge of metallization physics, anneal passivation, interconnect reliability and dielectric curing.
• Understanding of thermal budget constraints and stress‑management in BEOL stacks.
• Hands-on experience in Design of Experiments (DOE), root cause analysis, and problem-solving methods is desired.
• Experience in Photonic IC, SiC devices, 2.5D/3D packaging and/or Wafer Bonding would be a plus.
• Proficiency with materials characterization tools, such as ellipsometry, XRD, XPS, TEM, SEM, stress measurement

We are looking for a motivated Research & Technical Support Engineer/Scientist to develop, maintain, and support BEOL furnace processes including BEOL metal anneal, barrier/liner engineering, dielectric curing, hydrogen anneals, and stress‑relief treatments. This role involves both fundamental materials science and hands‑on tool/process ownership in a cleanroom research environment. You will collaborate with R&D teams working on advanced interconnect technologies, photonic integration, 3D integration, and novel dielectric/metallization schemes.

Job Responsibilities:

BEOL Furnace Process Development

• Develop and optimize BEOL thermal processes including Metal anneal, Barrier/liner stabilization, Dielectric curing, Passivation and Stress‑relief anneals
• Perform tool qualification, recipe loading, chamber matching, SPC set up and contamination monitoring.
• Troubleshoot process excursions and ensure stable operations with high repeatability.
• Correlates anneal conditions with film quality, stress, adhesion, and reliability metrics.

Cross‑Functional Collaboration

• Work closely with teams in Photonic IC, Wide-Bandgap Devices, Packaging and reliability for process integration.
• Provide guidance for internal projects on thermal budgets, thermal‑stress implications, and BEOL process compatibility for novel materials and device architectures.

Job Requirements:

• Degree (Bachelor, or Master based on job scope) or above in Electrical Engineering, Materials Science, Mechanical Engineering, Chemical Engineering, Chemistry, Physics or related fields.
• 3 years of working experience in Semiconductor Fabrication is advantageous.
• Hands‑on experience with furnace processing, anneals, or BEOL‑related thermal steps is highly wanted.
• Knowledge of metallization physics, anneal passivation, interconnect reliability and dielectric curing.
• Understanding of thermal budget constraints and stress‑management in BEOL stacks.
• Hands-on experience in Design of Experiments (DOE), root cause analysis, and problem-solving methods is desired.
• Experience in Photonic IC, SiC devices, 2.5D/3D packaging and/or Wafer Bonding would be a plus.
• Proficiency with materials characterization tools, such as ellipsometry, XRD, XPS, TEM, SEM, stress measurement

As Singapore’s University for Industry, SIT works closely with industry partners in our research pursuits. Our research staff will have the opportunity to be equipped with applied research skill sets that are relevant to industry demands while working on research projects in SIT. The primary responsibility of this position is to deliver on a research project to develop an End-to-end misinformation and disinformation protection, awareness and mitigation pipeline. We will be recruiting a research engineers or fellows, as part of a wider project, to conduct research on: Signal processing combined with AI-based modification on speech signals. The need is for a real-time system, so efficient coding is important.

Key Responsibilities:
• Participate in and manage the research project with Principal Investigator (PI) Ian McLoughlin, Co-PI Tong Rong and the research team members to ensure all project deliverables are met. 
• Undertake research within your domain, including keeping track of state-of-the-art work. Develop the code, evaluate and test. Write academic publications.
• Deliver solution-ready demonstration code.
• Interact well within the team and the customers.
• Be self-directed to fulfil the project requirements.

Job Requirements:
• Competence in working with languages such as C along with AI applications as well as Python-based coding .
• Have a degree in Computer Science/Computer Engineering. Possessing a Master’s or PhD degree will definitely be advantageous.
• Knowledge of machine learning, pytorch, huggingface etc...
• Knowledge of speech, audio, time-series or signal processing is required.
• Ability to effectively and efficiently utilise industry-standard Linux-based computers for AI.
• Experience of authoring good quality academic publications.
• Manage undergraduate research assistants (if appropriate).
• Liaise with customers and collaborators in A*STAR and NTU, as well as collaborators in the UK and China.

Key Competencies:
• A self-directed worker who believes in continuous learning and development
• Proficient in academic writing 
• Possess good critical thinking skills
• Show strong initiative and take ownership of work
• Interest in AI, machine learning, image/audio processing

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

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

We regret that only shortlisted candidates will be notified.

Job Description

The Research Assistant/Engineer will be involved in field sampling of coastal and fresh waters as well as laboratory analysis of water quality. The data will be used to develop computer models for predicting microbial and chemical water quality. In addition to the above, the Research Assistant/ Engineer is expected to contribute actively in writing reports and research papers, presenting research updates and liasing with external parties.

Qualifications

• A Bachelor in Environmental Engineering or equivalent. 
• Experience in water quality/environmental modelling and/or experience in water quality analysis and environmental engineering is preferred.  

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.

As a University of Applied Learning, SIT works closely with industry in our research pursuits. Our research staff will have the opportunity to be equipped with applied research skill sets that are relevant to industry demands while working on research projects in SIT.

The Role

We are seeking a highly motivated and talented Research Fellow to join an exciting industry-funded applied research project within the Infocomm Technology cluster at SIT. This project addresses the critical challenge of enabling ultra-reliable low-latency communications (URLLC) with priority-aware offloading for public safety services.

The successful candidate will be responsible for the end-to-end investigation of novel edge-assisted computation offloading strategies that leverages edge intelligence. The role will bridge rigorous theoretical work with hands-on offloading algorithm design and development. The core responsibility is to build and validate these offloading strategies, complete with Python application programming interfaces (APIs), through rigorous simulations and proof-of-concept (PoC) trials.

This position is ideal for a researcher with a passion for solving complex problems at the intersection of wireless communications, edge computing, and machine learning, and who is eager to translate theoretical insights into practical systems.

Key Responsibilities

• Derive and analyse closed-form mathematical expressions for latency and offloading probabilities across edge-only, cloud-only, and edge-cloud computation offloading algorithms.
• Design and develop robust Python APIs for edge-only, cloud-only, and edge-cloud computation offloading algorithms.
• Set up network testbeds integrating hardware, software, and communication protocols to validate edge-only, cloud-only, and edge-cloud computation offloading algorithms.
• Conduct rigorous simulations and live PoC trials to ensure computation offloading algorithms meets URLLC targets for public safety services.
• Participate in and manage the research project with Principal Investigator (PI) to ensure all project deliverables are met.

Job Requirements

• A Ph.D./Master’s degree in Computer Engineering, Communications Engineering, Computer Science, or a highly related discipline.
• A strong theoretical foundation and research background in wireless communications and edge computing.
• Strong publication track record in top-tier conferences and journals in the areas of wireless communications, IoT, or edge computing.
• Demonstrated proficiency in software API and algorithm development of edge intelligence algorithms using Python.
• Knowledge of machine learning or reinforcement learning techniques is highly advantageous.
• Experience with theoretical wireless network modelling, particularly stochastic geometry or queuing theory, is highly advantageous.

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.