About the Scientific Data Strategy Office at A*STAR

With data at the core of A*STAR's vision to be Singapore's Data, AI, and Hybrid Compute node for scientific research, the newly established Scientific Data Strategy Office (SDSO) is responsible for strategizing the delivery of Whole-of-A*STAR data products and services. The SDSO also advocates for data literacy and partnerships to create value while ensuring safe usage of scientific data through best practices.

To realize these ambitions, the SDSO is tasked with:

1. Establishing A*STAR's scientific research data management framework:

• Developing and updating policies to promote good data management practices.
• Enforcing data security and compliance with standards, agreements, and regulatory requirements.
• Collaborating with other public or private sector data departments on data quality, standards, and interoperability.

2. Establishing A*STAR's scientific data architecture:

• Defining data products from new and existing cross-domain scientific data assets to support research use cases.
• Forging strategic data partnerships at both national and international levels to enrich A*STAR's data assets.
• Developing best practices for data engineering to transform data assets into products.

3. Establishing A*STAR's scientific data advocacy framework:

• Defining data services from new and existing cross-domain scientific data assets to empower Whole-of-A*STAR to be more data-driven through self-help.
• Developing data advocacy initiatives to raise awareness and literacy in scientific data management, products, and services.
• Connecting A*STAR's data framework with other national (e.g., MOH's TRUST and GovTech's enTRUST) and global data frameworks.

Job Descriptions

We are seeking an experienced Data Management Specialist (DMS) to join A*STAR. Reporting to the Director of the Scientific Data Strategy Office (SDSO), the DMS will support the development and implementation of A*STAR's scientific research data management activities, enhancing data accessibility, quality, and security to foster innovation and collaboration across research teams.

Key Responsibilities:

• Framework Development: Develop and enhance A*STAR's scientific research data management framework and guidelines, including data classification, ownership, and stewardship, leveraging proven frameworks and best practices.
• Policy Implementation: Define and implement data exploitation policies and processes across research teams and departments within A*STAR, ensuring data access, quality, and usability.
• Service Definition: Define and maintain data management services to promote and ensure the safe and secure usage of A*STAR scientific data.
• Data Sharing: Develop data sharing policies and agreements to support external data exploitation for scientific research purposes.
• Quality and Standards: Provide requirements on data quality, standards, and interoperability/collaboration within and beyond A*STAR.
• Evaluate Impact: Establish an evaluation framework to measure the value and impact of the SDSO's data management strategies and initiatives.
• Advise on Trends: Provide insights and updates to A*STAR management and research staff on industry trends, standards, relevant data laws, and regulatory requirements related to data management, recommending appropriate modifications to existing policies and practices.

Job Requirements:

• Experience: 5-8 years of experience in data management, with prior experience in developing and implementing data management frameworks and policies.
• Education: Bachelor's degree in Computer Science, Data Analytics, Data Science, Data Engineering, Information Management, or a related field. A Master's degree or certifications in data management are preferred.
• Technical Skills: Deep understanding of data management strategies, practices, policies, procedures, data security standards, and privacy laws.
• Analytical Skills: Strong analytical capabilities to assess the efficacy of data management strategies.
• Mentorship: Ability to mentor junior officers.
• Communication: Excellent communication, presentation, and interpersonal skills.
• Organizational Skills: Strong organizational skills and attention to detail.
• Proficiency: Proficient in relevant data engineering tools and applications.
• Contextualization: Ability to contextualize government policies and industry best practices in data management within A*STAR's context for scientific data.
• Collaboration: Ability to work effectively with various data-relevant stakeholders across A*STAR entities.

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.

Duties and Responsibilities - Process Integration

• Plan the integration flow with device designers
• Draft the runsheet by translating the flow into process steps and capturing necessary shortloops
• Perform the DoE with process module teams
• Track the lot and report the progress
• Identify failure modes/root causes and address the problems by proposing changes
• Must be good at documentation and written communication

Job Requirements

• Bachelor's degree in Microelectronics, Electrical, Mechanical, or Chemical Engineering.
• A basic understanding of the semiconductor processes is preferred.
• 3-5 years of hands-on experience in semiconductor processes (Diffusion, Wet Clean, CMP, ECP, Litho, Etch, CVD, PVD, etc.) will add advantages.
• Must be a team worker with the project stakeholders (device design, process module, and equipment/facility).

MedTech Catapult is a national initiative for accelerating the development of high-value MedTech projects through an in-house product engineering unit. This productization unit is responsible for supporting the development of technologies through the medical device development cycle to produce full-fledged hardware product systems. The Lead Engineer will report to the Lead, Product Engineering.

Job Responsibilities:

• To provide electronics and instrumentation design capability in support of the design, development, test and manufacture of safety critical products and processes for complex medical technology product solutions.
• To interact closely with engineers from other disciplines to achieve an optimized design within the stipulated project schedule.
• To design and develop PCB and control systems for next generation medical devices.
• To provide operational electronics development, prototype design and testing - both analogue and digital.
• To conduct PCB schematic capture and layout, including component selection and testing.
• To build and test prototypes and document the design and performance of these.
• To create embedded system design and implementation.
• To conduct EMC testing with in-house equipment and through liaison with EMC test house for electrical safety and medical device compliance.
• To support development of intellectual property portfolio in device design and process technology know-how.
• To provide clearly documented records of technical data, decisions, methodologies, calculations and software use in accordance with ISO/FDA quality standards.
• To support the Procurement and Engineering teams for sourcing and defining specifications.
• To conduct error and tolerance sensitivity analysis, reliability analysis, reliability testing and reliability test program design.
• To support CAD-based electro-mechanical integration, at the component level, board level and assembly level.
• Write and review documentations for QMS.
• Interface with external parties (design houses) to communicate product requirements.
• To support other activities for product engineering when required.

Requirements

• MSc/BSc in Electrical Engineering or Computer Engineering.
• >10 years experience in medical devices (e.g. electronic product design).
• Has a good knowledge and understanding of i) Processes of electronic product development and realization, ii) operation and design of electronic systems and circuits; iii) Regulations applying to medical devices, iv) Electronic device operation and fabrication and v) Electronic sensors, measurement systems and instrumentation.
• Experience with PCB design ? digital and analogue.
• Proficient in HDL languages (Verilog, System Verilog).
• Knowledge of ASIC design and sign-off.
• Familiarity with scripting languages like Python, Perl, or C/C++ is a plus.
• Experience with design, development or manufacture of photonic systems or photonics-enabled products is a plus.
• Experience with the use of simulation tools for electronic design is a plus.
• Experience with Medical device ISO standards including ISO9001, IS013485, ISO 14971 and IEC 60601-1 and managing QMS.
• Good collaboration skills, organised and detailed.
• Demonstrate strong interpersonal skills and leadership skill.

The above eligibility criteria are not exhaustive. A*STAR may include additional selection criteria based on its prevailing recruitment policies. These policies may be amended from time to time without notice. We regret that only shortlisted candidates will be notified.

Job Description

The research scientist will be working with a team to carry out basic research in trustworthy formal methods. The topics of interest under this project include trustworthy automated reasoning, verification of randomized algorithms, compiler verification, and control/hybrid systems verification.

Key Responsibilities

• Research and Development: To carry out research tasks relevant to the project scope in trustworthy formal methods as listed briefly above.
• Student Supervision: Co-supervise students (undergrad/masters/PhD level) in relevant research tasks.
• Publication and Dissemination: Disseminate completed research work through publications and presentations at various high-quality international venues.
• Strategic Planning: Participate in other department/institute-level research activities and grant/project proposals.

Job Requirements:

• PhD degree in Computer Science / Mathematics or related fields
• At least 5 years of ecperience
• PhD specialization in formal methods, computational logic, or related topics, with track record of high-quality publications in top-tier venues.
• Proficiency in proof assistants such as Isabelle/HOL, Coq, or Lean will be beneficial.
• Knowledge or experience in cybersecurity will be beneficial.

Desired Attributes

• Ability to deeply investigate the topics of interest, leading to high-quality and impactful research output.
• Applicants should be motivated, resourceful, and analytical individuals.
• Possess good interpersonal, presentation and communication 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.

Job Description:

We are looking for talented and highly motivated candidate to work on the research and development of flat optics. The recruited scientist will work in the National Semiconductor Translation and Innovation Centre (NSTIC), managed by A*STAR.

The candidate should have a solid background and hands-on experience in the research of optics. Candidate shall be able to perform independent research and solve challenging problems together with the team to deliver high impact results.

The main work scope of the position is as follow:

· Design and simulation of flat optics, including using machine learning method.

· Micro-nanofabrication of flat optics and their characterization.

· Technology development and translation to industry applications.

Job Requirements:

· PhD in Physics or Optics, Photonics, Electrical Engineering, Materials Science

· Hands-on experiences on flat optics or metaoptics are added advantages.

· Good team player, resilient in tackling challenge, effective communication ability.

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

A Research Engineer position is open in the research group of A/P Wang Xinchao, at the Department of Electrical and Computer Engineering, National University of Singapore (NUS). The Research Engineer will work closely with the Principal Investigator (PI) on one or more research projects. The candidate will join the research team in the areas of Deep Learning and Vision Applications.

The successful candidate is required to:

• Contribute to Dialogue, Speech Signal Processing and Machine Learning algorithms.
• Contribute to Image Processing and Machine Learning algorithms.
• Contribute to the implementation of Automatic Speech Recognition framework and development of systems.
• Contribute to the implementation of machine learning framework and development of image processing systems.
• To advance the knowledge, to publish in leading journals and conferences.
• To prepare and meet the project deliveries and milestones.

Qualifications

• Recognised degree in Bachelor / Master in Electrical Engineering, Computer Science or Computer Engineering
• Strong programming skills in one of the programming languages: C / C++, Matlab, Python
• Have prior project related experience
• Good team player and be able to work independently.
• Strong organizational, writing and interpersonal communications.
• Meticulous, able to work well under pressure and commitment to meet tight deadlines
• Open to fixed-term contract.

We are seeking a highly skilled High-Speed IO Modeling designer to join our team. The ideal candidate will have a strong background in Electrical or Computer Engineering (Masters/PhD) , with a focus on high speed circuit modeling, statistical analysis, jitter analysis, digital signal processing, and signal integrity. The successful candidate will play a crucial role in developing IO performance models for chiplet-based high-speed communication protocols and generating complete high-speed link performance matrices based on advanced packaging.

Key Responsibilities:

• Develop IO performance models (Tx, Rx) for chiplet-based high-speed communication protocols such as UCIe, AIB, and others.
• Create complete high-speed link models by integrating IO performance models with advanced packaging interconnects.
• Generate comprehensive high-speed link performance matrices, considering various parameters such as technology node, area, latency, power, number of channels, micro bump pitch, and frequency of data rates.
• Collaborate with cross-functional teams to ensure the successful integration of IO performance models into the overall system design.
• Develop parameterised PDN model and fluent in analysing SI and PI simulations
• Stay up-to-date with the latest advancements in high-speed IO modelling techniques and technologies, and apply this knowledge to improve existing models and develop new ones.

Required Qualifications:

• Master's degree in Electrical or Computer Engineering with 2+ years of relevant experience, or a PhD in Electrical or Computer Engineering with 1+ years of relevant experience.
• Strong understanding of package/interconnect/I-O modelling, statistical analysis, jitter analysis, digital signal processing, and signal integrity.
• Experience in mixed-signal circuit design for High-Speed IOs (e.g AIB, AXI, UCIe).
• Proficiency in IBIS-AMI specification and model creation using Keysight ADS.
• Programming and scripting skills in one or more of the following: Python, Perl, C/C++, TCL, or AEL.

Preferred Qualifications:

• Ability to develop and implementing high-speed IO performance models using industry-standard tools/methodologies.
• Experience with advanced packaging technologies and their impact on high-speed link performance.
• Strong problem-solving skills and the ability to think creatively to overcome technical challenges.
• Excellent communication and collaboration skills, with the ability to work effectively in a team environment.

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 Institute for Functional Intelligent Materials (I-FIM) is seeking a researcher to investigate the application of scientific machine learning algorithms to develop an equation of state for dynamical systems out of equilibrium, with a focus on polymers under elongational flow. The role involves analysing large datasets from simulations and experiments to uncover patterns that traditional models may miss, aiming to enhance predictive capabilities for polymer behaviour. The work will be undertaken in collaboration with experts in algorithm development and experimental data collection and analysis. Additionally, the researcher will study the extension of developed framework to model multi-pendulum systems, exploring complex dynamics relevant to robotics and climate science. Findings will be disseminated through peer-reviewed journals, and the developed code will be made publicly available on GitHub.

Job Requirements

• Development of in the loop optimisation processes
• Ability to develop custom or apply state-of-the-art computer vision algorithms (CNN, AE, etc)
• Data cleaning, augmentation and dimension reduction
• Ability to work with common Python ML libraries (scikit-learn, tensorflow 1 & 2, pytorch), develop custom neural networks and implement classification and regression algorithms
• Interdisciplinary collaboration with researchers and scientists from different academic backgrounds
• Experience working in organic laboratories
• Knowledge of working with microfluidics platforms

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 National University of Singapore invites applications for the position of Research Assistant in the Department of Computer Science, School of Computing. The School of Computing is strongly committed to research excellence in all its dimensions: Searching for fundamental results and insights, developing novel computational solutions to a wide range of applications, building large-scale experimental systems and improving the well-being of society. We seek to play an active role both internationally and locally in the core and emerging areas of Computer Science and Information Systems.

The Research Assistant will be responsible for working closely with the Principal Investigator and lab members on one or more research projects. He/she should possess experience or interest in the area of machine learning.

Qualifications

• A Bachelor’s degree with Honours in a relevant area; and
• Experience in research.

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 National University of Singapore invites applications for Research Assistants to join our projects in the Department of Diagnostic Radiology, Yong Loo Lin School of Medicine. Our projects are primarily focused on exploring the role of neuroimaging in the clinic, facilitated by quantitative analysis including machine learning, with a focus on neurodegenerative diseases (e.g. Alzheimer's and Parkinson's disease), with a small focus on brain tumor imaging. The title of the current major project is <Development of a data-driven imaging biomarker for Alzheimer's disease>. The main objective of our ongoing research is to develop and validate data-driven imaging biomarkers to predict the prognosis of Alzheimer's disease dementia in elderly individuals by harmonizing established Alzheimer's disease research datasets and retrospective local institutional datasets.

The primary responsibilities of the Research Assistant will revolve around data management and administrative tasks, as described below:

Key Responsibilities

Database management and basic analysis:

- Download and integrate imaging and other non-imaging data into our research database.

- Perform basic neuroimaging processing and analysis using our existing R / Python pipeline. The role could extend to pipeline customization if the RA shows an interest and aptitude for image analysis work.

- The role could extend to basic statistical analysis and machine learning tasks using pre-built code, under the guidance of the PI and AI expert research staff, if the RA shows interest and aptitude for the above tasks.

Administrative tasks:

- Assist with ethical application processes for access to public datasets such as UK Biobank, ADNI, etc. and ensure compliance with institutional/university IRB procedures.

- Provide general administrative and secretarial support to the project, such as coordinating meetings, procurement, etc.

Assist in the preparation of scientific documents:

- Conduct literature searches, assist in the preparation of manuscripts, grant proposals/reports, and other scientific documents under the direct supervision of the PI.

Qualifications

Interested candidates should: (a) Have an undergraduate degree with good grades or a Master's degree in life sciences, engineering, or related fields; preferably, but not required, with some experience in dry lab or imaging research (b) Have basic programming skills in R and Python (ability to use code written by others under guidance) (c) Have fluent oral & written communication skill (d) Demonstrate the ability to work independently and as part of a team, and show investigative tendencies and attention to detail.

Compensation will be commensurate with the candidate's qualifications and experience. Only shortlisted candidates will be contacted.

Roles and Responsibilities:

• TCAD modeling, simulation, and innovative design of high power electronics devices, as well as device characterization.
• Develop and simulate high power SiC MOSFETs (planar, trench, Super-Junction MOSFET, IGBT) with a blocking voltage exceeding 1.2K using the industry-standard Synopsys/Silvaco simulator.
• Create and simulate practical & efficient junction terminations.
• Model transport and carrier scattering in devices operating under extreme ambient conditions.
• Serve as a valuable resource for colleagues with lesser TCAD power electronics experience and take lead in group projects with managing risks & resource requirements.
• Foster close collaborations with both internal and external customers to fully understand customer issues and requirements.

Job Requirements:

• PhD Degree in Electrical Engineering or related field.
• >2-3 years industrial experience for high power devices design and modeling.
• Thorough understanding of different types of high-voltage, high-power MOSFETs including Planar, Trench, Super-Junction MOSFETs, and IGBTs, with a focus on design and device characterizations.
• Hands-on skill in designing MOSFET/diode layouts.
• Excellent communication skills to effectively engage with customers, address their needs, resolve issues, and meet demands.

Join the Institute of Microelectronics (IME) to be immersed in cutting-edge semiconductor research. As a research institute within the Agency for Science, Technology and Research (A*STAR), IME bridges the gap between academia and industry. Our mission is to accelerate innovation in advanced packaging, piezoMEMS, SiC, RF/mmwave GaN, and photonics & sensors, and to develop talent and inspire in Singapore.

We are looking for a passionate individual to lead our Technology-Business Development (Tech-Biz) department. You will be responsible for leading the department to define and implement our strategies for technology-business development, account management, sales and marketing, and ecosystem development. If you"re excited about the future of microelectronics and wish to contribute to the development of Singapore’s innovation engine for microelectronics, we want you on our team!

Job Responsibilities

• Technology-business Development: Lead the department to define and develop strategies for technology translation.
• Customer Relationship Management: Lead the department to win and retain industry partners and customers for high-value and sustainable engagements.
• Sales: Collect, maximise leads and close customer collaboration projects.
• Marketing: Develop and execute marketing strategies to promote IME’s research capabilities to the industry. Represent IME at international conferences and exhibitions.
• Collaborate with Technology Development (TD) Teams: Partner with our "Technology Development" teams to craft robust value propositions for the industry and shape IME’s ‘go-to-market’ strategy. Detect, track and provide market trends and needs for the TD teams.
• Ecosystem Development: Liaise, coordinate and engage effectively with key internal stakeholders, including A*STAR’s Industry and Enterprise Group, other economic agencies and public sector agencies, to align efforts and achieve common goals for the Singapore semiconductor ecosystem.

Job Requirements:

• Degree in Science or Engineering.
• At least 10-15 years of relevant work experience.
• Able to structure and negotiate collaboration agreements.
• Strong communication (written and verbal), marketing and interpersonal skills.
• Strong analytical skills.
• Results oriented, pro-active, and a team player.
• Adaptable and comfortable working in a fast-paced and fast-changing environment.
• Passion to develop Singapore’s semiconductor industry.

Roles and Responsibilities:

• TCAD modeling, simulation, and innovative design of high power electronics devices, as well as device characterization.
• Develop and simulate high power SiC MOSFETs (planar, trench, Super-Junction MOSFET, IGBT) with a blocking voltage exceeding 1.2K using the industry-standard Synopsys/Silvaco simulator.
• Create and simulate practical & efficient junction terminations.
• Model transport and carrier scattering in devices operating under extreme ambient conditions.
• Serve as a valuable resource for colleagues with lesser TCAD power electronics experience and take lead in group projects with managing risks & resource requirements.
• Foster close collaborations with both internal and external customers to fully understand customer issues and requirements.

Job Requirements:

• PhD Degree in Electrical Engineering or related field.
• >2-3 years industrial experience for high power devices design and modeling.
• Thorough understanding of different types of high-voltage, high-power MOSFETs including Planar, Trench, Super-Junction MOSFETs, and IGBTs, with a focus on design and device characterizations.
• Hands-on skill in designing MOSFET/diode layouts.
• Excellent communication skills to effectively engage with customers, address their needs, resolve issues, and meet demands.

Join the Institute of Microelectronics (IME) to be immersed in cutting-edge semiconductor research. As a research institute within the Agency for Science, Technology and Research (A*STAR), IME bridges the gap between academia and industry. Our mission is to accelerate innovation in advanced packaging, piezoMEMS, SiC, RF/mmwave GaN, and photonics & sensors, and to develop talent and inspire in Singapore.

We are looking for a passionate individual to lead our Technology-Business Development (Tech-Biz) department. You will be responsible for leading the department to define and implement our strategies for technology-business development, account management, sales and marketing, and ecosystem development. If you"re excited about the future of microelectronics and wish to contribute to the development of Singapore’s innovation engine for microelectronics, we want you on our team!

Job Responsibilities

• Technology-business Development: Lead the department to define and develop strategies for technology translation.
• Customer Relationship Management: Lead the department to win and retain industry partners and customers for high-value and sustainable engagements.
• Sales: Collect, maximise leads and close customer collaboration projects.
• Marketing: Develop and execute marketing strategies to promote IME’s research capabilities to the industry. Represent IME at international conferences and exhibitions.
• Collaborate with Technology Development (TD) Teams: Partner with our "Technology Development" teams to craft robust value propositions for the industry and shape IME’s ‘go-to-market’ strategy. Detect, track and provide market trends and needs for the TD teams.
• Ecosystem Development: Liaise, coordinate and engage effectively with key internal stakeholders, including A*STAR’s Industry and Enterprise Group, other economic agencies and public sector agencies, to align efforts and achieve common goals for the Singapore semiconductor ecosystem.

Job Requirements:

• Degree in Science or Engineering.
• At least 10-15 years of relevant work experience.
• Able to structure and negotiate collaboration agreements.
• Strong communication (written and verbal), marketing and interpersonal skills.
• Strong analytical skills.
• Results oriented, pro-active, and a team player.
• Adaptable and comfortable working in a fast-paced and fast-changing environment.
• Passion to develop Singapore’s semiconductor industry.

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

We seek a full-stack engineer passionate about delivering the best user experience for cutting-edge technology. You will build the back end, which empowers the next-generation AI assistant, and the front end, which creates seamless new workflows.

Responsibilities

• Work with the core research team to idealize design concepts
• Participate in all aspects of agile software development, including design, implementation, and deployment
• Architect and design end-to-end systems optimized for speed and scale
• Build the front-end of applications through appealing visual design
• Test software to ensure responsiveness and efficiency
• Build features and applications with a mobile responsive design
• Write technical documentation

Qualifications

• Bachelor’s degree (or equivalent) in computer science, information technology, engineering, or related field.
• Interest in learning new tools, languages, workflows, and philosophies
• At least one year of experience in building software applications
• Experience in building web applications, and designing and integrating RESTful APIs are added advantages.
• Knowledge of multiple front-end languages and libraries (e.g. HTML/ CSS, JavaScript, XML, jQuery)
• Knowledge of multiple back-end languages (e.g. C#, Java, Python) and JavaScript frameworks (e.g. Angular, React, Node.js)
• Familiarity with databases (e.g. MySQL, MongoDB), web servers (e.g. Apache), and UI/UX design
• Excellent debugging and optimization skills
• Experience in unit/integration testing
• Excellent communication and teamwork skills
• Employment type: 12 months' contract

Only shortlisted candidates will be notified.

ROLE:
A*STAR-IME is leading the way in establishing industry first 200mm open Silicon Carbide (SiC) R&D program. The program specific focus is on advancing 200mm SiC technologies in key areas such as epitaxy, gate stack, ion implantation, and dry etching, and integrating these modules to fabricate high-performance power devices. Our objective is to drive innovation in power device research, particularly in power MOSFETs rated above 1.2KV. Developing key innovative process is crucial for creating high-performance devices that will contribute to advancements in automotive technologies, vehicle electrification, safety measures, sustainable energy grids, data centers, and industrial & aerospace automation. This role involve growing leadership into ion implantation processes for p-body, channel, guard ring, source contact, and other components. We are currently seeking such individual with ~5 years of experience in ion implantation. The chosen candidate will be responsible for independently supervising ion implantation processes, conducting ion implant simulations, possessing knowledge of crystallography and ion interaction with atoms, having strong understanding of implanters and related thermal processing physics, beam optics, dosimetry systems, and vacuum technology. The ideal candidate should also be willing to collaborate with various departments, the technology development group, and customers. Furthermore, the candidate will contribute to the wide-bandgap team by sharing the ion implantation expertise on compound semiconductor materials and collaborate with other departments working with Si-based technology. The candidate will also be groomed to lead this diffusion process module group of ~6 headcounts into the future.

RESPONSIBILITIES:

• Diagnose malfunctions and using test equipment & software to test faulty tool; applying knowledge of the functional operation of the ion implant equipment

• Support on-site ion implanters in creating, running & characterizing recipes for recipe validation and develop process to achieve the desired dopant profile with excellent
damage recovery.

• Collaborate with vendors to optimize equipment performance and reduce tool downtime

• Analyze data related to implant-related defects formation with quantification and defects minimizations strategy

• Examine work-orders and communicates with equipment operators to resolve equipment problems & determine mechanical and human errors contributed to the issues

• Perform scheduled preventive maintenance tasks with tool operators, especially in checking, cleaning, repairing, detecting and preventing problems

• Responsible for designing experiments for ion implantation at various dose, energy, tilt, and twist levels

REQUIREMENTS:

• Ms/PhD Degree in Electrical Engineering or related field

• >3-5 years industrial experience for high power device design and modeling

• Extensive proficiency in medium to high energy/current ion implantation processes, including a comprehensive knowledge of implant equipment, equipment parts, and
troubleshooting techniques to minimize equipment downtime

• Good understanding of wide bandgap semiconductor materials and their corresponding dopant species

• Expertise in ion channeling, ion bombardment, and their impact on the implant species profile

• In-depth comprehension of defect formation and annihilation processes in the implanted region of semiconductors

• Familiarity with essential device properties resulting from ion implantation

• Adept at mentoring and transferring knowledge to junior staff members

As part of IME Integrated Circuit Design and System Department, we are looking for a candidate with relevant experience in ultrasound imaging system design. This candidate will define an ultrasound transducer array beamformer IC architecture for imaging applications. The candidate will work closely with MEMS team on system architecture, circuit design, simulation, validation, and integration.

Role & Responsibilities

• Perform system-level beamformer architecture, design, and simulation, to derive circuit-level design specifications.
• Beamforming array optimization using AI algorithms.
• Design and implementation of beamformer algorithm in hardware.
• Work together with team to investigate novel circuit/system solutions to create new inventions.

Requirements

• Master’s / PhD degree in Electrical Engineering or equivalent
• Good understanding of ultrasound imaging systems and beamforming theories.
• Knowledge of AI algorithms and implementation will be a plus
• Familiar with IC test equipment such as oscilloscope, spectrum analyzer, etc.
• Able to generate high-quality scientific publications and patents
• Team player, quick learner and self-driven

Job Description:

• Be a member of the leadership team to achieve the vision and mission of the National GaN Technology Centre (NGTC).
• Lead the Technology, Engineering and Industry team in technology road mapping and R&D pathfinding in device architecture, fabrication process technology, and MMIC design.
• Lead the Technology team, which comprises (a) characterization & modelling, (b) MMIC design, testing & model validation, (c) device failure and reliability analysis, (d) ultra high frequency GaN-on-SiC device design, layout, fabrication and characterization, and (e) low voltage GaN-on-Silicon device design, layout, fabrication and characterization.
• Coordinate with the Engineering team to develop ultra high frequency devices, ultra low voltage devices, and their MMICs.
• Coordinate with the Engineering and Operations teams to ensure timely delivery of the projects.
• Initiate and secure research grants and industry funding.
• Initiate, coordinate and manage research collaborations with IHLs and industry partners.
• Provide regular progress report of the Technology team’s activities to NGTC management.
• Represent NGTC in customer meetings.

Requirements:

• PhD in Electrical & Electronic Engineering, Materials Science and Engineering, Microelectronics Engineering, or closely related fields are welcome to apply.
• Deep understanding of GaN-HEMT device physics and GaN-based MMICs.
• At least 12 years of post-PhD hands-on experience in GaN HEMT and MMIC technology development including design, characterization (e.g. DC, small-signal and load-pull measurement), and modelling; preferably in RF GaN-on-Silicon or GaN-on-SiC technologies.
• At least 12 years of experience in leading a team of research engineers/scientists in managing multiple projects.
• Candidates with industry experience in GaN related R&D would be preferred.
• Working knowledge and hands-on experience in Design of Experiments (DOE) methodologies, statistical root cause analysis, problem-solving methods, and in-line metrology techniques is desired.
• Possess strong leadership, project management, interpersonal and oral/written communication 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.

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

He/she will work with cross functional team to:

• Design and simulation of superconducting circuits for salable quantum processor in 3D flip-chip architecture.
• Explore and develop superconducting nanowire base photo detector.
• Design and layout of circuits components of a superconducting qubit.
• Develop design rules and PDK for quantum packaging technologies.
• Provide quantum packaging solutions to meet the system requirements based on the simulation results.
  Prepare competitive grant research proposals and lead execution of these proposals.
  Engage industry partners to align and develop the building blocks required for next generations quantum packaging platforms.

Job Requirements:

• Master/PhD in quantum computing; Electrical and Computer Engineering; Material science area
• 4 to 5 years’ experience in superconducting circuits design and simulation for scalable quantum processor. Deep understanding on 3D quantum package
• Working experience on measuring loss and dielectric constants of materials at cryogenic temperatures
• Strong communication, industry awareness, and problem-solving skills.
• Highly motivated to succeed, a self-starter who is driven and able to work with others effectively to get things done.

ROLE:
A*STAR-IME is leading the way in establishing industry first 200mm open Silicon Carbide (SiC) R&D program. The program specific focus is on advancing 200mm SiC technologies in key areas such as epitaxy, gate stack, ion implantation, and dry etching, and integrating these modules to fabricate high-performance power devices. Our objective is to drive innovation in power device research, particularly in power MOSFETs rated above 1.2KV. Developing key innovative process is crucial for creating high-performance devices that will contribute to advancements in automotive technologies, vehicle electrification, safety measures, sustainable energy grids, data centers, and industrial & aerospace automation. This role involve growing leadership into ion implantation processes for p-body, channel, guard ring, source contact, and other components. We are currently seeking such individual with ~5 years of experience in ion implantation. The chosen candidate will be responsible for independently supervising ion implantation processes, conducting ion implant simulations, possessing knowledge of crystallography and ion interaction with atoms, having strong understanding of implanters and related thermal processing physics, beam optics, dosimetry systems, and vacuum technology. The ideal candidate should also be willing to collaborate with various departments, the technology development group, and customers. Furthermore, the candidate will contribute to the wide-bandgap team by sharing the ion implantation expertise on compound semiconductor materials and collaborate with other departments working with Si-based technology. The candidate will also be groomed to lead this diffusion process module group of ~6 headcounts into the future.

RESPONSIBILITIES:

• Diagnose malfunctions and using test equipment & software to test faulty tool; applying knowledge of the functional operation of the ion implant equipment

• Support on-site ion implanters in creating, running & characterizing recipes for recipe validation and develop process to achieve the desired dopant profile with excellent
damage recovery.

• Collaborate with vendors to optimize equipment performance and reduce tool downtime

• Analyze data related to implant-related defects formation with quantification and defects minimizations strategy

• Examine work-orders and communicates with equipment operators to resolve equipment problems & determine mechanical and human errors contributed to the issues

• Perform scheduled preventive maintenance tasks with tool operators, especially in checking, cleaning, repairing, detecting and preventing problems

• Responsible for designing experiments for ion implantation at various dose, energy, tilt, and twist levels

REQUIREMENTS:

• Ms/PhD Degree in Electrical Engineering or related field

• >3-5 years industrial experience for high power device design and modeling

• Extensive proficiency in medium to high energy/current ion implantation processes, including a comprehensive knowledge of implant equipment, equipment parts, and
troubleshooting techniques to minimize equipment downtime

• Good understanding of wide bandgap semiconductor materials and their corresponding dopant species

• Expertise in ion channeling, ion bombardment, and their impact on the implant species profile

• In-depth comprehension of defect formation and annihilation processes in the implanted region of semiconductors

• Familiarity with essential device properties resulting from ion implantation

• Adept at mentoring and transferring knowledge to junior staff members

Role & Responsibilities:

• Responsibilities include diagnosing appropriate levels of metal/metal-alloy contaminations by oxygen and other contaminants; determining the root cause of contaminants, and establishing protocols for characterizations.
• Hands-on providing support for onsite metal PVD, including creating, running, and characterizing recipes to achieve the lowest resistances.
• Collaborates closely with equipment vendors and device engineers to optimize the metal-stack for device performances and robustness/reliability, from low to high temperatures.
• Lead data analysis related to implant-induced defects and cleaning issues on metal contacts with solutions development.
• Examines the work-functions of metal/metal-alloys suitable for Ohmic contact on SiC.
• Responsible for designing experiments for Ohmic contact on various SiC substrates with different doping types, determining their impact, and resolving issues to achieve the lowest specific contact resistances.
• Designing cleaning processes to obtain ideal Schottky diode using various metal/metal-alloys on SiC for high-performance applications.
• Work closely with cross-departmental and integration teams and in 3-5 years’ time develop a WBG backend process integration team of at least 4 persons.

Requirements:

• PhD Degree in Material Science, Physics, Electrical Engineering or related field.
• >8 years related industrial experience inclusing backend process module integration.
• Extensive hands-on experience in PVD (Physical Vapor Deposition) processing for metal depositions and interface tuning.
• Strong understanding of metal-semiconductor contact physics.
• Expertise in work-function tunings of metal and metal-alloy.
• Proficiency in modulating electron affinity through implantation or surface treatments of semiconductors.
• Familiarity with wide band-gap semiconductor materials and their interaction with metal/metal-alloys at various temperatures.
• Thorough fundamentals in Ohmic contact and Schottky diode physics, as well as the impact of defects and contaminations on electrical properties.
• Skilled at mentoring and transferring knowledge to junior staff members.
• Excellent communication skills to effectively address customers' needs, concerns, and solution requirements.

Position:

Our team is starting an exciting project to develop RF/mm-wave ICs for the future of communication for Beyond-5G to 6G applications. We are looking for an exceptional candidate with relevant expertise to join us. Our team focuses on developing communication modules for both terrestrial and non-terrestrial needs. You will work at the Institute of Microelectronics (IME) to create the most advanced semiconductor technologies. You will collaborate with world-leading industries and academic institutions on innovative designs and strategic intellectual properties.

Job Responsibility:

• Benchmarking with datasheets, prior arts, and latest academic work.
• In-depth design and analysis with electrical/electromagnetic simulations.
• In-depth analysis of design robustness, optimization, and testability.
• In-depth presentations and report recording of design, layout, test and measurement, and fault analysis.
• Working independently, as a team, and with collaborators from industry and academic backgrounds.

Pre-requisites:

• A Master’s / PhD Degree in Electronics or Electrical Engineering and proven academic and industry experience are pluses.
• Experienced in designing RF/mmWave such as LNA, mixer, PA, buffer, transmission line, baluns, PLL, VCO, etc.
• Experienced in designing base-band/mixed-signal circuits, such as amplifiers, bandgap, ADC, DAC, etc., is a plus.
• Knowledgeable in design trade-offs at the circuit-level specification.
• Experienced in designing in CMOS and SiGe technology or any other technologies like RF-SOI and compound-semiconductor is a plus.
• Proficient in using Cadence and EM tools like ADS for EM circuit simulation, IC layout, LVS, and DRC verification.
• Familiarity with IC measurement and debugging and hands-on experience with RF/mmWave equipment such as spectrum analyzer, network analyzer, oscilloscope, and probe station.
• Good publication record with a strong awareness of state-of-the-art.
• Good communication and teamwork.

ROLE:
IME is leading the effort to establish the industry leading Silicon Carbide R&D program. This program aims to advance 200mm Silicon Carbide technologies in various areas, such as epitaxy, device design, process integration & fabrication, and power module packaging. The main objective is to drive disruptive innovations in power device research, with a specific focus on >1.2KV power MOSFETs. These innovations are intended to enhance automotive technologies, vehicle electrification, safety measures, sustainable energy grids, and industrial automation. Key aspects to demonstrate for this role include high power device design, novel device concepts, doping design, gate oxidation, and wide-bandgap process simulations. To achieve this, we are seeking individual with extensive industry experience in using Synopsys/Silvaco TCAD simulator, relevant device characterization skills, design simulation development abilities, a willingness to mentor junior staffs, and strong interpersonal skills. The candidate will contribute to the wide-bandgap & Silicon Carbide team by utilizing their device knowledge, guiding team on device characterization, implementing state-of-art Silicon Carbide power MOSFETs (Planar, Trench & Super-Junction), and innovative novel power MOSFETs for future applications.

RESPONSIBILITIES:

• TCAD modeling & simulation, novel high power device design, simulation, and device characterization

• Design and simulate high voltage Silicon Carbide MOSFETs (planar, trench, SJ MOSFET, IGBT) with a blocking voltage of >1.2K using Synopsys/Silvaco simulator

• Design & simulate practical and effective junction terminations

• Provide guidances on device structure, optimizing cell, power/performance analysis, process risk assessment, and recommendations for experimental split and improvement

• Develop and apply fundamental MOS device physics-based TCAD modelling & electric field management to calculate band structure, carrier transport, blocking voltage,
switching properties, and thermal management for vertical power devices in the presence of interface state density, gate oxide defects, and defects in Silicon Carbide

• Model transport and carrier scattering in devices operating in extreme ambient conditions

• Collaborate with diverse teams, including process integration, characterization, and circuit design engineers, to analyze and troubleshoot device-related issues during
development

• Serve as a resource for colleagues with less experience, and lead small projects with manageable risks and resource requirements

• Work closely with both internal and external customers to understand customer issues and align their demands. And grow this wide-bandgap team to ~5 headcounts in the
next 3 years.

JOB REQUIREMENTS:

• PhD in Electrical Engineering or related field

• >10 years industrial experience for high power device design and modeling

• Deep knowledge of high voltage, high power MOSFETs (including Planar, Trench, S-J MOSFETs, and IGBTs) design and device characterization on 4H-SiC & GaN substrates.

• Solid understanding of wide-bandgap semiconductor materials and the strong physics of MOSFET devices

• Ability to teach and transfer knowledge to junior staff members

• Ability to effectively communicate and plan with customers regarding their needs, issues, and demands

Job Description

The Engineer will be responsible for driving electro-mechanical product development in compliance with ISO 13485 standards across multiple levels, from component to product. The role includes planning and monitoring New Product Introduction (NPI) programs, managing engineering changes, and maintaining documentation, including Design History Files. The position requires close coordination with both internal and external suppliers, adhering to Quality Management System and regulatory standards.

Key Skills and Experience:

• Bachelor degree in Mechanical Engineering with 3+ years in electro-mechanical systems.
• Technical proficiency in optimizing designs for mechanical and electro-mechanical systems.
• Solid understanding of metal and plastic manufacturing processes for product design.
• Proficiency in 3D CAD software (e.g., SolidWorks), including GD&T and kinematic calculations.

Attributes:

• Analytical and detail-oriented, with a collaborative and hands-on approach.

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.

Position:

Our team is starting an exciting project to develop RF/mm-wave ICs for the future of communication for Beyond-5G to 6G applications. We are looking for an exceptional candidate with relevant expertise to join us. Our team focuses on developing communication modules for both terrestrial and non-terrestrial needs. You will work at the Institute of Microelectronics (IME) to create the most advanced semiconductor technologies. You will collaborate with world-leading industries and academic institutions on innovative designs and strategic intellectual properties.

Job Responsibility:

• Benchmarking with datasheets, prior arts, and latest academic work.
• In-depth design and analysis with electrical/electromagnetic simulations.
• In-depth analysis of design robustness, optimization, and testability.
• In-depth presentations and report recording of design, layout, test and measurement, and fault analysis.
• Working independently, as a team, and with collaborators from industry and academic backgrounds.

Pre-requisites:

• A Master’s / PhD Degree in Electronics or Electrical Engineering and proven academic and industry experience are pluses.
• Experienced in designing RF/mmWave such as LNA, mixer, PA, buffer, transmission line, baluns, PLL, VCO, etc.
• Experienced in designing base-band/mixed-signal circuits, such as amplifiers, bandgap, ADC, DAC, etc., is a plus.
• Knowledgeable in design trade-offs at the circuit-level specification.
• Experienced in designing in CMOS and SiGe technology or any other technologies like RF-SOI and compound-semiconductor is a plus.
• Proficient in using Cadence and EM tools like ADS for EM circuit simulation, IC layout, LVS, and DRC verification.
• Familiarity with IC measurement and debugging and hands-on experience with RF/mmWave equipment such as spectrum analyzer, network analyzer, oscilloscope, and probe station.
• Good publication record with a strong awareness of state-of-the-art.
• Good communication and teamwork.