Total 175 structural engineer job vacancies in Education / Training category

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.

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!

Young and research-intensive, Nanyang Technological University, Singapore (NTU Singapore) is ranked among the world’s top universities. NTU’s College of Computing and Data Science (CCDS) is a leading college that is known for its excellent curriculum, outstanding and impactful research, and world-renowned faculty.

A hot bed of cutting-edge technology and groundbreaking research, the College aims to groom the next generation of leaders, thinkers, and innovators to thrive in the digital age. Located in the heart of Asia, NTU’s College of Computing and Data Science is an ‘exciting place to learn and grow’. We welcome you to join our community of faculty, students and alumni who are shaping the future of AI, Data Science and Computing.

Key Responsibilities:

• Develop and optimize AI models, including data preparation, training and evaluation.

• Collaborate with teams to implement models and improve performance based on results.

• Design and conduct human behavioral experiments, including developing protocols and ensuring compliance.

• Collect and analyze experimental data and interpret findings to support research objectives.

Job Requirements:

• Preferably Bachelor’s degree in Computer Engineering, Computer Science, Electronics Engineering or equivalent.

• Independent, highly analytical, proactive and a team player

• Excellent teamwork and verbal, written communication skills

• Strong coding and implementation skills in developing AI models

• In depth understanding of neural circuits for controlling eye movements in neuroscience

• Strong communication skills in terms of writing and reading academic papers, and presenting research works in public settings

• Candidates must have strong computational background

• Candidates must have coding experiences in deep reinforcement learning and deep learning

• Candidates must also have strong neuroscience backgrounds especially in designing and conducting human behavioral experiments

We regret that only shortlisted candidates will be notified.

COMPANY DESCRIPTION

Singapore Management University is a place where high-level professionalism blends together with a healthy informality. The 'family-like' atmosphere among the SMU community fosters a culture where employees work, plan, organise and play together - building a strong collegiality and morale within the university.

Our commitment to attract and retain talent is ongoing. We offer attractive benefits and welfare, competitive compensation packages, and generous professional development opportunities - all to meet the work-life needs of our staff. No wonder, then, that SMU continues to be given numerous awards and recognition for its human resource excellence.

RESPONSIBILITIES

The candidate will be responsible for conducting research on developing algorithms to safeguard the security of foundation models in real-world application. Successful candidate will be part of an active research team in the School of Computing and Information Systems, Singapore Management University.

• To process and handle publicly available sequence/visual datasets.
• To develop and design approaches for building trustworthy foundation models.
• To perform large-scale empirical evaluation on the designed approaches.
• To write research reports and papers on the obtained models and results.
• To work with other team members hired for the same project.
• Other duties as assigned.

• Bachelor's/master's degree in computer science, Information Technology, Information Systems or closely related disciplines from a reputable institution of higher learning.
• Past research experience on training foundation/agentic models and hardening their security preferred.
• Proven track record and professional experience in large language models (LLMs) and multimodal LLMs.
• Demonstrated experience and know-how on machine learning and foundation models.
• Excellent working knowledge of trustworthy foundation models.
• Ability to break down complex problems and design effective solutions.
• Innovating new approaches and thinking outside the box.
• Excellent publication track records. Publications at top-tier AI/ML venues will be advantageous.
• Self-motivated individual who can work independently and collaboratively with team members.

#LI-JN2

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!

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: LLM/VLM, media comparison, AI-assisted explainability. 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  Python-based coding and AI development.
• 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 image 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

Research Engineer, Acoustic Research Laboratory, Tropical Marine Science Institute

The Acoustic Research Laboratory (ARL) undertakes research projects in the area of underwater acoustics and marine robotics. The Research Engineer will work across several projects in the lab to support the research teams on preparing & planning field experiments at sea, helping conduct the experiments, and aid with data curation and processing. Specific tasks will including preparation & testing of field equipment, permitting, field logistics, coordination with external parties (boats, vendors, etc), operation of equipment at sea, collection and curation of data, preliminary data quality checks, etc

Qualifications

- Bachelor's or equivalent degree in a relevant branch of Engineering or Science
- Interest in marine science / engineering
- Willingness to learn new skills
- Willingness to work in the field (at sea)
- Ability to work well with team members & external vendors
- Good communication skills

COMPANY DESCRIPTION

Singapore Management University is a place where high-level professionalism blends together with a healthy informality. The 'family-like' atmosphere among the SMU community fosters a culture where employees work, plan, organise and play together - building a strong collegiality and morale within the university.

Our commitment to attract and retain talent is ongoing. We offer attractive benefits and welfare, competitive compensation packages, and generous professional development opportunities - all to meet the work-life needs of our staff. No wonder, then, that SMU continues to be given numerous awards and recognition for its human resource excellence.

RESPONSIBILITIES

The candidate will be responsible for conducting research on AI for Software Engineering. The candidate will be part of an active research team to be supervised by Prof. David Lo from School of Computing and Information Systems, Singapore Management University.

• Design and implement AI for software engineering solutions.
• Conduct evaluations and/or user studies to validate the effectiveness of the algorithms and tools.
• Write and publish research papers and present them to reputable academic conferences.
• Package the documents, implementation code, evaluation results of the project for public release.
• Liaise with other team members of this project to realize the overall goal of the project.
• Other duties as assigned.

• Minimum Master degree in Information Systems / Computer Science/ Information Technology / Security / Informatics Engineering / Computer Engineer / Software Engineering.
• Publication of at least a first-authored paper in reasonable AI or software engineering or cybersecurity conferences/journals (CORE A or higher).
• Excellent knowledge about software engineering and artificial intelligence.
• Highly fluent in Python and Java.
• Competent in designing and implementing algorithms and data structures.
• Excellent oral and written communication skills.
• Excellent analytical, technical and problem-solving skills.
• Self-motivated individual who can work independently and also collaboratively with team members.
• Able to work under strict deadlines.
• Research capability as evidenced by tangible deliverable i.e., at least a first-authored paper in CORE A or better conference / journal in the field of AI or software engineering.

#LI-JN2

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

Work on hands-on experiments for few of the following tasks:
1. Design, Simulation, and Fabrication of Piezoelectric MEMS resonators; filters and sensors 
2. Design, modelling and testing of neural networks aiming for human-machine-interface
3.Write 1 or more research papers based on derived data of the above devices in the first year in the top-notch journals
4.Supporting and guiding the experiments of FYP students

Qualifications

1. Have learned Piezoelectric MEMS resonators; filters and sensors related courses for one semester at post-graduate level and earned score of A- or better.
2. Strong background in hands-on microfabrication techniques at clean room and with journal publications showing such evidences
3. With 2 years and more experience in making and testing MEMS devices
4. With 1 year and more working experience in MEMS and Photonics design
5. Strong knowledge in L-Edit; Lumerical; CST; COMSOL; ANSYS; 
6. Fluent in English speaking and writing
7. Having more than 1 1st-authored international peer-reviewed journal papers, e.g., Nature Communications and Science Advances (for Research Engineer)

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

Work on hands-on experiments for few of the following tasks:
1. Design, Simulation, and Fabrication of Piezoelectric MEMS filters and Si Photonics 
2. Design, modelling and testing of photonic neural networks (PNN) aiming for human-machine-interface
3.Write 1 or more research papers based on derived data of the above devices in the first year in the top-notch journals
4.Supporting and guiding the experiments of FYP students

Qualifications

1. Have learned MEMS, RF filters or Si Photonics related courses for one semester at post-graduate level and earned score of A- or better.
2. Strong background in hands-on microfabrication techniques at clean room and with journal publications showing such evidences
3. With 2 years and more experience in making and testing MEMS devices
4. With 1 year and more working experience in MEMS and Photonics design
5. Strong knowledge in L-Edit; Lumerical; CST; COMSOL; ANSYS; 
6. Fluent in English speaking and writing
7. Having more than 1 1st-authored international peer-reviewed journal papers, e.g., Nature Communications and Science Advances (for Research Engineer)