Total 201 procurement engineer job vacancies in Education / Training category in Pasir Gudang

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

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

We regret that only shortlisted candidates will be notified.

Job Description

We are seeking a highly motivated Analog Electronics Engineer to join our team as a Research Engineer. The successful candidate will be responsible for designing, prototyping, and testing analog electronic circuits for our cutting-edge research projects. This role offers an exciting opportunity to contribute to groundbreaking research in flexible electronics.

Key Responsibilities:
• Design and develop analog electronic circuits for research projects.
• Collaborate with interdisciplinary team members to integrate analog electronics into larger systems.
• Conduct testing and validation of analog circuits to ensure performance and reliability.
• Document design processes, results, and findings for academic publication.
• Stay updated on emerging trends and technologies in flexible electronics and related fields.

Qualifications

• Bachelor's or Master's degree in Electrical Engineering, Electronics Engineering, or related field.
• Strong background in analog circuit design, including amplifiers, filters, and signal conditioning circuits.
• Proficiency in circuit simulation and design tools (e.g., SPICE, Cadence).
• Experience with PCB design and layout.
• Knowledge of analog-to-digital and digital-to-analog conversion principles.
• Excellent problem-solving skills and attention to detail.
• Effective communication and collaboration abilities.

Preferred Qualifications:
• Experience with mixed-signal circuit design.
• Familiarity with biomedical signal processing or wearable electronics.
• Prior research experience in an academic or industrial setting.
• Additional expertise in wireless electronics design

Benefits:
• Competitive salary based on qualifications and experience.
• Opportunities for professional development and growth.
• Collaborative and innovative work environment.
• Access to state-of-the-art research facilities and resources.
• Potential for authorship on research publications and presentations.

How to Apply: Please submit your resume, cover letter, and any relevant portfolio or project work. In your cover letter, please highlight your relevant experience.

Summary:

Skywork AI Singapore welcomes enthusiastic and forward-thinking research engineers to join our dynamic team at the Kunlun-2050 Research Lab Singapore. Being a new entrant in Singapore’s R&D landscape, we are dedicated to pushing the boundaries of Artificial General Intelligence (AGI) through foundational and application research, with a particular focus on Foundation Model 2.0 and Agents. Foundation Model 2.0 encompasses various dimensions, including pioneering new foundation modes and applications, optimizing training and inference acceleration, and conducting theoretical studies to enhance interpretability. Our work on Agents delves into both virtual and physical agents, propelling us into the forefront of AGI development.

We invite individuals who share our passion for AGI advancement and are eager to make their mark in the field to apply and become a vital part of our evolving team. Join us to contribute to cutting-edge research and explore the potential for technology transfer into Skywork AI's core products.

Key Responsibilities:

• Implement intricate algorithms and enhance model scalability
• Provide comprehensive engineering support to the research team
• Develop reusable libraries to support research in AGI field, focusing on Foundation Model 2.0 and Agents.
• Collaborate closely with our interdisciplinary team to publish influential research findings in top-tiered conferences and journals, making a significant impact on the AGI community.
• Actively explore technology transfer opportunities into Skywork AI's core products.

Desirable Experience:

• Hold a Bachelor’s degree or higher in computer science, statistics, engineering, applied mathematics, data science or related fields
• Possess more than three years of related work experience
• Demonstrated proficiency in programming languages
• Hands-on experience with deep learning frameworks and familiar with development tools
• Actively contribute to open-source projects
• Achievement in programming competitions and regional contests
• Attain esteemed recognition within the academic and professional community

Apply:

If you're excited to be part of our cutting-edge research team in the AGI space, please send your latest Curriculum Vitae to michelle@kunlun-inc.com to explore this exciting opportunity.

Skywork AI Singapore is committed to fostering diversity and welcomes candidates from all backgrounds to apply. Join us in shaping the future of AGI at Kunlun-2050 Research Lab. Your contributions can be instrumental in defining our journey as a new start-up in this dynamic field

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 Electrical and Computer Engineering (ECE) Department of National University of Singapore (NUS) is in search of candidate for a research engineer position to assist in Prototype Development.

Successful applicant will be responsible for conducting applied research, developing innovative technologies, and collaborating with interdisciplinary teams to solve technical problems and advance the organization's goals.

Candidate will design experiments, analyze data, and develop prototypes to validate new concepts and technologies.

Candidate will also contribute to scientific publications, patents, and grant proposals to communicate research findings and secure funding for future projects.

Responsibilities will involve:

1. Actively participate and lead optimization for additive manufacturing processes
2. Work closely with Research Fellow to meet project deliverables.
3. Perform cleanroom and wet processes in sample fabrication.
4. Characterize fabricated samples through the use of microscope, scanning electron microscope, etc.
5. Organize and track research activities, performed tasks, characterized in report form (Microsoft Word).
6. Identify, feedback, and address engineering challenges.
7. Assist in equipment purchase, commissioning, and ownership.

Qualifications

• A bachelor’s or higher degree in Electrical, Electronics, Mechanical, Chemical Engineering, Physics, Material Science or its equivalent from a reputable University/Institute is preferred, or equivalent related experience.
• Candidate with experience in microelectronic research, characterisation, metrology, and electrical testing, and strong in data analysis will have advantage.
• Knowledge of thermal and thermomechanical modelling and analysis.
• Strong analytical and problem-solving skills.
• Motivated and possesses effective communication skills including writing and presenting.
• Ability to work independently and collaborate within a diverse team.
• Open to Fixed Term Contract.

Job description
The candidate will be part of a team solving computational bioengineering problems. The responsibilities include but are not limited to:

• Research, develop and evaluate algorithms and implementations
• Work with team members to develop disease transmission models
• Brainstorming technical solutions

Job requirements

• Master or Bachelor degree in chemical engineering and bioengineering related fields
• Strong programming skills in Python (preferred) or R
• Knowledge and demonstrable experience in academic research
• Smart and hardworking individual who can work under pressure within a tight deadline
• A good team player with can-do attitude
• Solid communication skills and problem-solving skills

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.

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 Solar Energy Research Institute of Singapore (SERIS) is looking for suitable candidate(s) to fill in Research Engineer position(s).

• The applicant will coordinate and/or attend site inspections related to Solar PV installation works and prepare a periodic report of findings for submission to Client.
• The applicant will assist in the Testing and Commissioning activities for Solar PV installations.
• The applicant will act as SERIS technical representative between Client and their appointed Solar PV Contractor. Attend and participate in meetings when required.
• Define the client specification into either a departmental action or subcontractor order. Produce deliverables on-time to client’s requirements, clarifying these requirements where necessary.
• Help manage and track the teams’ equipment and tools to ensure task carry out are to the required quality and standard. Liaise with suppliers when necessary.
• The applicant will assist in Lender’s Technical Advisory and assist in Owner’s Engineering projects, both of which include client interfacing, documentary and contract reviews, compliance check, site inspections and supervision on behalf of clients, and report writing.
• The applicant will have project management and leadership responsibilities.
• The applicant will assist in other group activities where required by the direct supervisor and group head.

Requirements

• At least a Diploma in Engineering (Civil, Mechanical or Electrical)
• Bachelor’s degree in Engineering is preferred, though proven working experiences in coordinating and/or managing Solar PV installation can offset this.
• At least 3 years’ experience in coordinating and/or supervising Solar PV installation or at least 2 years’ experience in a project management role in the PV, consultancy, or construction industry.
• Knowledge of PV systems O&M will be advantage. Internship in related field highly desired.
• Experience in other forms of electrical engineering works will also be considered.
• Comfortable to work in an outdoor and rooftop environment. Having “Work at Height” certification or equivalent is an advantage.
• Demonstrates initiative on moderate problem solving within assigned tasks.
• A dynamic team-player with a positive effect on the mood in an on-site group setting.
• Resilient, optimistic and open to change. Shows moral courage, openness and honesty in all dealings
• Proficient with Microsoft Office, especially Excel skills and able to analyses data or related a programming language.

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

To apply principles of soft robotics in designing a wearable pneumatic sensing system for detecting myographic and kinematic information during dynamic tasks.

Qualifications

• Possess at least a Bachelor degree (Engineering related)
• Familiar with soft sensor fabrication, pneumatic control setup, wearable development & conduct of human subject trials.
• Open to fixed-term contract

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

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

We regret that only shortlisted candidates will be notified.

Job Description

The Electrical and Computer Engineering Department of NUS is seeking a highly skilled and motivated Research Engineer to join our Microelectronics Research Facilities, also known as E6NanoFab hosted at the College of Design and Engineering.

As a Research Engineer, you will play a vital role in advancing our research efforts by developing, optimizing, and implementing cutting-edge processes and technologies. You will work collaboratively with interdisciplinary teams, contribute to innovative research projects, and be at the forefront of microelectronics technology development.

Key Responsibilities:

1. Process Development:
• Design, develop, and optimize microelectronics manufacturing processes, with a focus on semiconductor device fabrication and related technologies by using photolithography, etching, deposition, and other relevant techniques.
• Evaluate and select appropriate materials, tools, and equipment for process development.

2. Process Optimization:
• Continuously improve existing processes to enhance efficiency, yield, and performance.
• Identify and address bottlenecks, defects, and inefficiencies in the production process.

3. Experimental Design and Testing:
• Plan and execute experiments to validate and refine new process methodologies.
• Collect and analyze data to assess process performance and reliability.

4. Equipment Management:
• Oversee the operation, maintenance, and calibration of specialized equipment and tools used in microelectronics processing.
• Ensure equipment availability and compliance with safety and quality standards.

5. Cross-Functional Collaboration:
• Collaborate closely with researchers, engineers, and scientists to define project goals, troubleshoot technical issues, and integrate process solutions into research projects.
• Foster a collaborative environment to facilitate knowledge sharing and innovation.

6. Documentation and Reporting:
• Maintain comprehensive records of experiments, processes, and results.
• Prepare detailed technical reports and presentations for internal and external stakeholders.

7. Quality Assurance and Compliance:
• Ensure processes adhere to quality standards, industry regulations, and safety protocols.
• Implement and document process controls to maintain consistent product quality.

8. Training and Mentorship:
• Provide guidance and training to junior engineers, researchers, and technicians to develop their skills in microelectronics process engineering.

9. Innovation and Research Support:
• Stay updated on the latest advancements in microelectronics and semiconductor manufacturing.
• Contribute to the development of research proposals, leveraging your process expertise.

Qualifications

• Bachelor or Master in Materials Science, Electrical Engineering, or a related field with a strong emphasis on microelectronics and semiconductor processing.

• Demonstrated experience in developing and optimizing microelectronics manufacturing processes, including photolithography, etching, deposition, and other relevant techniques.

• Working experience in foundries, microelectronics research centers and pilot line will be an advantage.

• Familiarity with cleanroom protocols, safety standards, and equipment operation.

• Strong problem-solving skills and the ability to work in a fast-paced research environment.

• Excellent communication and teamwork skills to collaborate effectively across disciplines.

• Knowledge of statistical analysis and data interpretation techniques.

• Commitment to maintaining the highest standards of quality, safety, and compliance in all processes.

If you are a process engineering professional looking to make a significant impact on microelectronics research and development, we invite you to join our team as a Research Engineer. Your expertise and innovative mindset will contribute to the success of groundbreaking research projects in the field of microelectronics.

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

• Develop and maintain web applications using Python, HTML, and ReactJS.
• Design and implement front-end interfaces using modern JavaScript frameworks.
• Collaborate with the design team to create user-friendly and visually appealing interfaces.
• Write clean, maintainable, and efficient code following best practices.
• Perform code reviews to ensure code quality and adherence to coding standards.
• Troubleshoot and debug issues across the entire stack.
• Optimize applications for maximum speed and scalability.
• Stay updated on emerging technologies and trends in web development.
• Work closely with cross-functional teams to gather requirements and translate them into technical solutions.
• Participate in sprint planning, daily stand-ups, and other agile ceremonies.

Qualifications

• Masters's degree in Computer Science, Engineering, or related field.
• Proven experience as a Full Stack Developer or similar role.
• Proficiency in Python, HTML, CSS, JavaScript, and ReactJS.
• Strong understanding of web development concepts such as RESTful APIs, MVC architecture, and responsive design.
• Experience with version control systems such as Git.
• Familiarity with database systems such as SQL and NoSQL.
• Excellent problem-solving and analytical skills.
• Ability to work independently and in a team environment.
• Strong communication and interpersonal skills.
• Attention to detail and a passion for writing clean, well-organized code.

Preferred Qualifications

• Experience with other front-end frameworks such as Angular or Vue.js.
• Knowledge of server-side technologiesP such as Flask or Django.
• Experience with cloud platforms such as AWS or Azure.
• Understanding of DevOps principles and CI/CD pipelines.
• Familiarity with Agile methodologies such as Scrum or Kanban.

Join us in building innovative and cutting-edge web applications that make a difference. If you're passionate about technology and enjoy working in a collaborative environment, we'd love to hear from you.

Apply now and take the next step in your career as a Full Stack Developer!

Summary:

Skywork AI Singapore welcomes enthusiastic and forward-thinking research engineers to join our dynamic team at the Kunlun-2050 Research Lab Singapore. Being a new entrant in Singapore’s R&D landscape, we are dedicated to pushing the boundaries of Artificial General Intelligence (AGI) through foundational and application research, with a particular focus on Foundation Model 2.0 and Agents. Foundation Model 2.0 encompasses various dimensions, including pioneering new foundation modes and applications, optimizing training and inference acceleration, and conducting theoretical studies to enhance interpretability. Our work on Agents delves into both virtual and physical agents, propelling us into the forefront of AGI development.

We invite individuals who share our passion for AGI advancement and are eager to make their mark in the field to apply and become a vital part of our evolving team. Join us to contribute to cutting-edge research and explore the potential for technology transfer into Skywork AI's core products.

Key Responsibilities:

• Implement intricate algorithms and enhance model scalability
• Provide comprehensive engineering support to the research team
• Develop reusable libraries to support research in AGI field, focusing on Foundation Model 2.0 and Agents.
• Collaborate closely with our interdisciplinary team to publish influential research findings in top-tiered conferences and journals, making a significant impact on the AGI community.
• Actively explore technology transfer opportunities into Skywork AI's core products.

Desirable Experience:

• Hold a Master's degree or higher in computer science, statistics, engineering, applied mathematics, data science or related fields
• Possess more than three years of related work experience
• Demonstrated proficiency in programming languages
• Hands-on experience with deep learning frameworks and familiar with development tools
• Actively contribute to open-source projects
• Achievement in programming competitions and regional contests
• Attain esteemed recognition within the academic and professional community

Apply:

If you're excited to be part of our cutting-edge research team in the AGI space, please send your latest Curriculum Vitae to michelle@kunlun-inc.com to explore this exciting opportunity.

Skywork AI Singapore is committed to fostering diversity and welcomes candidates from all backgrounds to apply. Join us in shaping the future of AGI at Kunlun-2050 Research Lab. Your contributions can be instrumental in defining our journey as a new start-up in this dynamic field

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

One Research Engineer position is open in the research group of Assistant Professor Zhao Lin, at the Department of Electrical and Computer Engineering, National University of Singapore (NUS).

The Research Engineer (will) will work closely with the Principal Investigator (PI) on reinforcement learning control and learning-based control, which leverage the advantages of both deep learning and conventional controls with theoretical guarantees. The RE will develop AI-assisted planning and control algorithms that enable intelligent and robust autonomous operations and multi-agent collaborations. Hardware experiments will be carried out to test and demonstrate the applications of the developed algorithms.

The initial appointment duration is 12 months, which can then be extended based on an evaluation at the end of the initial appointment.

The research project involves (1) theoretical research in control, learning, and optimization, (2) developing new control and learning algorithms, and (3) 3D Simulations and real hardware experiments.

The candidates should have a Bachelor’s or Master’s degree from a reputable university, with expertise in control theory, reinforcement learning theory, and aerial robotics.

A successful candidate should have a solid mathematical background (such as in calculus, linear algebra, ODE/PDE, optimization, real analysis, probability theory, stochastic process, etc). Strong publication records in leading journals and conferences, and practical hands-on experience in applying reinforcement learning to real robotics applications (e.g., autonomous driving and unmanned aerial vehicles) will be a big plus.

Qualifications

• Possess a bachelor’s or master’s degree in either Electrical Engineering or strictly related (e.g., Mathematics, Computer, Communication, Mechanical, or Information Engineering).
• Have research experiences in control, reinforcement learning, distributed optimization, multi-agent, autonomous driving, and/or UAVs.
• Possess a strong academic record proved through coursework (especially math-intensive courses) and projects during his/her undergraduate and master’s studies.
• Proficient in C++ or Python. Familiar with machine-learning tools and packages. Familiar with various 3D simulation environments for quadrotor simulations. Familiar with ROS and quadrotor control algorithm.
• Have well-established analytical and problem-solving skills, as documented by publications that are relevant to the field of control theory and robotics applications, reinforcement learning control for robotics applications.
• Excellent communication skills as he/she is required to publish and present results at conferences and journals independently.
• Activity performed in world-class research environments is highly valued.

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 Engineer will work closely with the Principal Investigator (PI) to design and build desirable microstructure to enhance mechanical properties of steels by additive manufacturing.

The job scope of this position is:

• Conducting literature reviews and understanding state of the art
• Planning and implementing experiments
• Developing simulation models to guide microstructural engineering
• Analysing the experimental and simulation data
• Writing progress reports and research papers

Qualifications

• Bachelors in Materials Science or Mechanical Engineering
• Knowledge of metallurgy and microstructural engineering is highly required
• Expertise in microstructural characterisation techniques (e.g. TEM, EBSD and FIB) and mechanical testing
• Expertise in numerical simulations (e.g. phase field, FEM)
• Experience with metal additive manufacturing (e.g. powder bed fusion, directed energy deposition) will be advantageous
• Good publication record will be advantageous
• Self-motivated, good team player

Job Description:

Be part of an exciting FAB Team working on cutting-edge advanced packaging process technologies. Partner and work with various teams in IME, to be the lead in FAB inventory management, logistic planning, and its related operations to always enable smooth operations and develop packaging solutions and taking the solutions from concept to production. Responsibilities will also include assisting in operations support in FAB clean rooms to ensure all rounded supports are provided.

This position is based in Singapore.

Responsibilities:

- Looking for a reliable, agile, and professional individual.

- Able to understand, look ahead, plans the production schedules etc, and provide day to day supports in materials / spare parts procurement, inventory and logistics management to ensure smooth Fab operations.

- Initiate, lead and provide day to day supports in all logistics needs and initiate material/spare parts procurements when required to ensure smooth Fab operations.

- Follow through all the orders initiated from the start of purchase till delivery. Ensure the orders are delivered are on time.

- Accountable for the inventories required to enable smooth FAB cleanroom operations.

- Work seamlessly with various stakeholders to ensure inventory adequacy and logistics efficiencies.

- Employ critical thinking and put-up good initiatives to move forward towards systematic inventory digitalization.

- Ability to work in a multi-task environment.

Experience:

- Education: Diploma/Degree in engineering or supply chain discipline.

- Process strong customer service mind-set with excellent interpersonal and communication skills.

- Preferably some knowledge of supply chain analytics, experiences in semiconductor / manufacturing environment, with good wide contacts with semiconductor material suppliers, equipment vendors.

- Fresh graduate can be considered as well.

Job Description:

Be part of an exciting FAB Team working on cutting-edge advanced packaging process technologies. Partner and work with various teams in IME, to be the lead in FAB inventory management, logistic planning, and its related operations to always enable smooth operations and develop packaging solutions and taking the solutions from concept to production. Responsibilities will also include assisting in operations support in FAB clean rooms to ensure all rounded supports are provided.

This position is based in Singapore.

Responsibilities:

- Looking for a reliable, agile, and professional individual.

- Able to understand, look ahead, plans the production schedules etc, and provide day to day supports in materials / spare parts procurement, inventory and logistics management to ensure smooth Fab operations.

- Initiate, lead and provide day to day supports in all logistics needs and initiate material/spare parts procurements when required to ensure smooth Fab operations.

- Follow through all the orders initiated from the start of purchase till delivery. Ensure the orders are delivered are on time.

- Accountable for the inventories required to enable smooth FAB cleanroom operations.

- Work seamlessly with various stakeholders to ensure inventory adequacy and logistics efficiencies.

- Employ critical thinking and put-up good initiatives to move forward towards systematic inventory digitalization.

- Ability to work in a multi-task environment.

Experience:

- Education: Diploma/Degree in engineering or supply chain discipline.

- Process strong customer service mind-set with excellent interpersonal and communication skills.

- Preferably some knowledge of supply chain analytics, experiences in semiconductor / manufacturing environment, with good wide contacts with semiconductor material suppliers, equipment vendors.

- Fresh graduate can be considered as well.

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.

About Us

NUS, Singapore’s flagship university, and SIA, Singapore’s flagship carrier, jointly established a 5-year SIA-NUS Digital Aviation Corporate Laboratory (Corp Lab) to create and commercialise innovative technologies that could accelerate the digital transformation of Singapore’s aviation sector and redefine the air travel experience. It leverages on NUS’s world class deep technology and multi-disciplinary research expertise across Artificial Intelligence (AI), Machine Learning, Data Science, Operations Research and Analytics, Optimisation, Automation, Sleep Studies and Design.

To emerge ahead in today’s digital transformation era, SIA and NUS will jointly target Revenue Management & Dynamic Pricing (for smart data-driven optimization), Transforming Competency and Skill Development (for intelligent and personalised pilot and cabin crew training), Employee Wellness (for data-driven and scientifically-backed improvements to workforce safety, performance and productivity), and Passenger Comfort, Sleep and Cabin Service (for next-generation product offerings and unparalleled customer service within the cabin).

Job Description

The Corporate Lab aims to develop for Singapore Airlines a new approach to design optimal price tiers for air tickets and manage seat inventory, to help maximize revenues for airlines, leveraging on modern analytical tools and technologies that can perform deep data analytics in airline revenue management system. The current solution provided by its new commercial vendor is adequate but could not address specific issues faced by SIA, including the price elasticity estimation, dynamic pricing and competition considerations etc. These are all unique to SIA and customized solution methodology needs to be developed for these purposes. Expertise, infrastructure and relevant background work done at NUS’s Institute of Operations Research and Analytics (IORA), School of Business, School of Computing and Department of Industrial Systems Engineering & Management would be tapped on to add value to the proposed projects.

The Research Engineer will be responsible for

1. Designing experiments to measure the causal effects of the different pricing algorithms
2. Validating key business questions via hypothesis testing
3. Leveraging state-of-the-art causal inference methodology to estimate pricing effects with observational and experimental data
4. Developing new algorithms in the causal estimation
5. Helping integrate the A/B test method into the simulator
6. Manage and Lead the team in the projects

About You

The University values courage and creativity, openness and engagement, inclusion and diversity, and respect and integrity. As such, we see the importance of recruiting talent aligned to these values and are looking for a Research Fellow who has:

• A completed Bachelor’s Degree in operations research, econometrics, statistics, or related field
• Evidence of managing research projects
• Evidence of ability to conduct high-quality research
• Background relayed to Causal inference, Experiment design, Causal Structural modeling
• An emerging track record of academic publications
• An ability to work in a collaborative team environment
• Excellent communication skills

Others:
• Possess good interpersonal skills
• High comfort level in working within a self-directed culture and navigating ambiguity.
• Openness to critique from other disciplines and curiosity to learn from a spectrum of perspectives.
• An empathy and curiosity for how great brands, businesses and organizations navigate innovation and design.
• Experience with unique and novel tools and methods to uncover key insights
• willingness to work in a collaborative team environment

As part of IME’s Photonics & Sensors Department, the candidate will take lead of the development of various testing capability for advanced photonics, including but not limited to chip-level and wafer-level testing of optical devices and electro-optical devices at high RF frequencies, as well as the testing of electro-optical sub-modules and sub-systems. You will work closely with an excellent multidisciplinary team working on advanced photonics.

Responsibilities:

• Develop various photonics testing capabilities for both chips and wafers, including design and building of measurement setups
• Perform chip-scale and wafer-scale data collection for OE, EO and OO devices from frequency range of 0 to 110 GHz
• Optimize data acquisition and analysis process to improve test efficiency, e.g. automation of measurement processes for wafer-scale testing and corner analysis
• Manage photonics laboratory including facilities, health and safety, equipment calibration, inventory and stocktake
• Take the lead to procure laboratory equipment and consumables
• Prepare technical presentations and papers for internal meetings, as well as conferences and journals
• Collaborate with project team to ensure quality and on-time delivery for various projects
• Performs other duties as assigned.

Qualifications:

• Bachelor’s or master’s degree in Physics, Electronic/Electrical Engineering, Photonics, Opto-electronics or equivalent
• More than 3 years hands-on experience in active photonics/optoelectronic device testing, especially for high-speed optical modulator and photodetector devices and electronic-photonic integrated circuit.
• More than 3 years hands-on experiences in optical setup construction and semiconductor & optoelectronic device characterization
• Experienced on experimental data acquisition and analysis
• Skillsets in programming or instrument automation is a plus
• Strong skills in problem-solving, communication and providing technical presentations
• Industry experience and awareness 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.