Total 361 process engineer job vacancies in Singapore

SIMTech is looking for a highly motivated, independent, and innovative Software / DevOps engineer to join Sustainability Informatics & Strategy (SIS) Group. The successful candidate is expected to be creative and team-oriented, finding innovative solutions to new challenges and managing the software development life-cycle using Scrum / agile approaches. The candidate will work closely with other developers, UX designers, data scientists and engineers to deliver quality systems in a timely fashion.

JOB DESCRIPTION

The successful candidate is expected to contribute to Software Development and DevOps activities in the research area of sustainability, where they will be working alongside a team of full-stack developers, and with scientists and engineers, to perform tasks including:

• Design and develop backend web applications and database schemas
• Deploy, scale and configure cloud applications
• Manage source codes and maintain workflows for version control
• Fix and troubleshoot code issues and technical issues
• Perform program coding & testing in compliance with approved life cycle methodologies
• Resolve application-based issues through debugging, research, and investigation

JOB REQUIREMENT

• Degree in Computer Science/Engineering (or equivalent experience).
• Proficiency in at least two of the following:
• Frontend technologies and frameworks (i.e. React, Angular)
  Python web frameworks (e.g. FastAPI)
  SQL Databases, and ORMs (e.g. SQLAlchemy)
  
• Prior experience using source control systems, specifically Git. While in-depth knowledge of advanced features is not required, candidates should understand the basic functions such as committing changes, pushing to repositories, and pulling updates.
• Preference for candidates with working knowledge of DevOps (AWS Cloudformation/ IAM) and AWS Cloud Services (Cognito, Amplify, API Gateway, S3, RDS, Lambda)
• Preference for candidates with a basic understanding of Tableau for creating data visualizations. Training or coursework involving Tableau or similar data visualization tools is preferred, though hands-on professional experience is not required
• Ability and willingness to learn new technologies quickly
• Ability to communicate complex procedures to other colleagues
• Strong hands-on capabilities
• Diligent and possess a positive work attitude
• Good communication, writing and presentation skills

PREFERRED SKILLSETS AND EXPERIENCES

• Prior experience in performing Life Cycle Assessment
• Familiarity with LCA-associated standards (ISO 14025/40/44/64/67 and BS EN 15804 standards)
• Knowledge of ESG reporting framework (for e.g. GHG Protocol Corporate Standard, GRI, TCFD, etc.)
• Familiarity with ISO 15663/86 standards
• Experience with commercial LCA tools and Databases (for e.g. OpenLCA, Brightway2, ecoinvent, etc.)
• Knowledge and understanding of green finances and voluntary carbon market

The Technician will work with IME researchers and STMicroelectronics engineers within the collaboration project. This is a great opportunity to learn and start your semiconductor career.

Duties and Responsibilities

Tool Operation

• Learn more than two tools at LiF such as CMP, Furnace, Ovens, CVDs, Vapor etchers, Wet etchers, and metrologies to be an independent user.
• Perform the SPC of the tools and report the results to the LiF Program Manager.

Process Integration

• Provide wafer processing support to project Process Integrators using the tools.
• Track the lots and report the progress to the Process Integrators.
• Log joint/sole projects in Teams (share point) and track during the review/approval stage
• Support material ship-in/out between LiF and IME or LiF and collaborators’ sites.

Job Requirements

• Diploma in MicroElectronics/Electrical/Mechanical/Chemical Engineering.
• Must be a team worker, dependable and highly motivated.
• Basic understanding on semiconductor process is preferred.
• 1-3 years of experience in semiconductor processes (Diffusion, Wet Clean, CMP, ECP, Litho, Etch, CVD, PVD, etc.) will be added advantages.

The Technician will work with IME researchers and STMicroelectronics engineers within the collaboration project. This is a great opportunity to learn and start your semiconductor career.

Duties and Responsibilities

Tool Operation

• Learn more than two tools at LiF such as CMP, Furnace, Ovens, CVDs, Vapor etchers, Wet etchers, and metrologies to be an independent user.
• Perform the SPC of the tools and report the results to the LiF Program Manager.

Process Integration

• Provide wafer processing support to project Process Integrators using the tools.
• Track the lots and report the progress to the Process Integrators.
• Log joint/sole projects in Teams (share point) and track during the review/approval stage
• Support material ship-in/out between LiF and IME or LiF and collaborators’ sites.

Job Requirements

• Diploma in MicroElectronics/Electrical/Mechanical/Chemical Engineering.
• Must be a team worker, dependable and highly motivated.
• Basic understanding on semiconductor process is preferred.
• 1-3 years of experience in semiconductor processes (Diffusion, Wet Clean, CMP, ECP, Litho, Etch, CVD, PVD, etc.) will be added advantages.

Job Description:

The CPPS group is seeking a highly motivated senior research engineer or lead research engineer to lead and conduct R&D in Industry 5.0 smart manufacturing solutions and integrating digital technologies with AI-enabled physical production systems that promote human-centricity, environmental sustainability, and value chain resilience in manufacturing. The ideal candidate should have a strong background in controls, integration and PLC programming. The key roles & responsibilities include, but are not limited to the following:

• Conduct R&D in novel adaptive and autonomous control algorithms for scalable self-learning, self-optimizing and self-recovery production systems
• Work with a team of engineers and scientist to design and implement integrated IIOT and AI-enabled production systems for smart manufacturing
• Understand autonomous manufacturing domain and provide innovative solutions to industry problems in this area
• Familiarity with industry communication protocols such as OPC-UA, MQTT, Profibus, and RS-232 is an advantage

Job Requirement:

Masters or Bachelor degree in Computer Science / Engineering, Electrical Engineering, Mechanical Engineering, with emphasis on controls, integration and automation

1-3 years experience in industry and/or R&D projects in the area of controls and IIOT (min. 5 years for Lead Research Engineer)

• Develop and program PLCs and other control systems, utilizing platforms like TwinCAT, EcoStruxure, Codesys and others
• Ability to apprehend and/or interpret electrical circuit diagrams is a strong advantage
• Excellent technical presentation and writing skills
• Can-do attitude and able to work with different needs of various stakeholders
• Proactive team player and technically motivated to solve problems innovatively

Job Responsibilities

-Work with project PI to develop robust catalysts (3 or more) that convert low-quality used cooking oil to sustainable aviation fuel

-Assist in synthesis and formulation of the catalyst, and testing of the catalyst in hydroprocessing using pressurized H2 in small scale Parr reactors.

-Assist in experimental design and optimize parameters required for the lab-scale to large-scale reactions (>500g) for synthesis of the catalysts using solution and/or solid-state methodologies

-Assist in experimental design and optimize parameters required for the lab-scale to large-scale hydroprocess reactions in large-scale 1L Parr reactors.

-Perform scale-up the pre-treatment process, several litres per batch, using large-scale equipment such as the liquid-liquid extractor unit

-Characterization of the catalyst candidates using

-Presentation at regular project meetings and summarize results in reports

Job requirements:

-A degree in Chemical Engineering, Materials Engineering or Chemistry

-At least 5 years of experience

-Knowledge in synthesis and characterization of compounds (powders)

-Knowledge in use of characterization equipment such as PXRD, SEMEDX, XRF, TEM, DLS etc.

-Proactive, team player and good problem-solving skills

-Data analysis and interpretation skills

-Excellent oral/written communication

-Experience in scaled up reactions (>5 L) is preferred

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 Responsibilities

-Work with project PI to develop robust catalysts (3 or more) that convert low-quality used cooking oil to sustainable aviation fuel

-Assist in synthesis and formulation of the catalyst, and testing of the catalyst in hydroprocessing using pressurized H2 in small scale Parr reactors.

-Assist in experimental design and optimize parameters required for the lab-scale to large-scale reactions (>500g) for synthesis of the catalysts using solution and/or solid-state methodologies

-Assist in experimental design and optimize parameters required for the lab-scale to large-scale hydroprocess reactions in large-scale 1L Parr reactors.

-Perform scale-up the pre-treatment process, several litres per batch, using large-scale equipment such as the liquid-liquid extractor unit

-Characterization of the catalyst candidates using

-Presentation at regular project meetings and summarize results in reports

Job requirements:

-A degree in Chemical Engineering, Materials Engineering or Chemistry

-At least 2 years of experience

-Knowledge in synthesis and characterization of compounds (powders)

-Knowledge in use of characterization equipment such as PXRD, SEMEDX, XRF, TEM, DLS etc.

-Proactive, team player and good problem-solving skills

-Data analysis and interpretation skills

-Excellent oral/written communication

-Experience in scaled up reactions (>5 L) is preferred

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 CPPS group is seeking a highly motivated senior research engineer or lead research engineer to lead and conduct R&D in Industry 5.0 smart manufacturing solutions and integrating digital technologies with AI-enabled physical production systems that promote human-centricity, environmental sustainability, and value chain resilience in manufacturing. The ideal candidate should have a strong background in controls, integration and PLC programming. The key roles & responsibilities include, but are not limited to the following:

• Conduct R&D in novel adaptive and autonomous control algorithms for scalable self-learning, self-optimizing and self-recovery production systems
• Work with a team of engineers and scientist to design and implement integrated IIOT and AI-enabled production systems for smart manufacturing
• Understand autonomous manufacturing domain and provide innovative solutions to industry problems in this area
• Familiarity with industry communication protocols such as OPC-UA, MQTT, Profibus, and RS-232 is an advantage

Job Requirement:

Masters or Bachelor degree in Computer Science / Engineering, Electrical Engineering, Mechanical Engineering, with emphasis on controls, integration and automation

1-3 years experience in industry and/or R&D projects in the area of controls and IIOT (min. 5 years for Lead Research Engineer)

• Develop and program PLCs and other control systems, utilizing platforms like TwinCAT, EcoStruxure, Codesys and others
• Ability to apprehend and/or interpret electrical circuit diagrams is a strong advantage
• Excellent technical presentation and writing skills
• Can-do attitude and able to work with different needs of various stakeholders
• Proactive team player and technically motivated to solve problems innovatively

Resilient Value Chain (RVC) division of SIMTech A*STAR is searching for an Enterprise Software Developer to work on research and development of technologies for effective management of logistics and end-to-end order fulfillment, towards responsive and resilient value chain.

Responsibilities:

The key roles & responsibilities are as follows:

• Analyze software requirements to determine feasibility of design within time and costs constraints
• Develop generic and configurable software (e.g. generic and configurable web application, native/hybrid mobile application) and design database
• Implement AI/machine learning algorithm/models in software solutions for logistics planning and order fulfillment applications
• Use scientific analysis and mathematical models to predict and measure outcome and consequences of design, and optimize the enterprise software system performance
• System integration, debugging, testing and deployment
• Customer technical support and troubleshooting.

Job Requirements:

Bachelor or Master Degree in Computer Science/Engineering, Operations Research/management or relevant disciplines.

Experience with the following will be an advantage:

• Development of software solutions for enterprise decision support/making, especially logistics related applications
• Mobile applications development for Android or IOS applications
• Web application development with .Net
• Design Patterns, Microservice architecture, container technology and MVC.
• Programming with python, C#, Java, Java Script or other related language.
• RESTful APIs and relational databases
• Angular and Kendo UI, HTML programming
• Excellent verbal and written communication skill
• Good work ethics, good communication and interpersonal skill, willing to learn new programming skills
• Can do attitude and happy to interface with multiple parties.
• Good communication skills – both written and verbal

Responsibilities

• The candidate will be required to perform electrical testing, test data analysis & automation across SiC power and RF/mmWave GaN devices.
• The candidate hands-on characterization work will encompass from low voltage I-V/C-V to high voltage breakdown, switching performances for SiC, and DC & high-frequency characterizations for RF/mmWave regime.
• The candidate must have hands-on experienced in handling Keysight 4156C and B1500A/Keithley K4200 Device Analyzer, B1505A High Power Device Analyzer with N1265A UHC Fixture and Keysight 4284A/4285A and E4908A LCR Meter independently on their own.
• It will be a plus if the candidate has knowledge of instrumentation control using LabView and some other software like Python, C++ etc .
• The candidate is required to have at least some basic semi-conductor knowledges of semi-conductor devices like P-N Junction, Diodes, CMOS etc.
• The candidate can be exposed to process and device design/simulation with commercial TCAD tools (e.g. Silvaco Victory Process and Victory Device, Sentaurus Process and Device, etc) as part of the learning development and eventually be working on wide bandgap devices team.

Qualifications:

• Bachelors / Masters' degree in Electrical Engineering, Materials Science, Mechanical Engineering, Chemical Engineering, Chemistry, Physics or equivalent
• At least 5 years of relevant experience preferred. Candidates with relevant study/project experience (Electronics, Microelectronics, Computer Engineering, etc) can be considered.
• 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".
• Industry experience 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.

ROLE:
A*STAR-IME is spearheading the establishment of the Silicon Carbide (SiC) R&D program. This initiative aims to advance 200mm Silicon Carbide technologies across various areas including epitaxy, device design, process integration & fabrication, and power module packaging. The primary goal is to catalyze disruptive innovations in power device research, focusing particularly on >1.2KV power MOSFETs. These innovations are targeted towards enhancing automotive technologies, vehicle electrification, safety measures, sustainable energy grids, data centers, and industrial & aerospace automation. One of the critical challenges in SiC MOSFETs fabrication lies in gate stack formation and interface characterization. For this purpose, a skillful lead with hands-on experience, proactive motivation, quick learning abilities, and strong interpersonal skills is being sought to contribute to gate stack design and interface characterization. This candidate will be also groomed to lead a front-end team of ~5 headcounts for wide-bandgap integration in the next 3 years.

RESPONSIBILITIES:

• Candidate will perform detailed design of experiments for gate stacks optimizations; aimed to develop highly reliable SiC MOS gate module technology.

• To conduct hands-on work for MOSCAP process & interface characterizations, including MOS CV & variable frequency CV analysis, DLTS characterization, and more.

• Responsible for analyzing electrical test data, benchmarking with publicly available results, and apply established physics-based theories of interface trap behavior in 4H-SiC

• Collaborate with the project members to ensure gate oxide goals meet performances, quality, and reliability standards aligned to customer expectations

• Ensure that design of experiments stays on schedule and mitigate overall risks

• Engage with diverse teams, including process integration, characterization, and advanced process modules, to analyze & debug device/process-related challenges

• Working closely with internal and external customers to understand their demands and mitigate their issues

REQUIREMENTS:

• PhD Degree in Electrical Engineering or related field

• Up to 3 years of relevant industry experience

• MOSCAP layout design with good understanding of the gate interface, gate dielectric materials at the atomic level and ALD of high-k dielectric materials will be required

• Solid understanding of MOSFET and HEMT device physics, preferably with SiC and GaN materials

ROLE:

A*Star-IME is currently working on establishing a hybrid fabrication platform for 150mm and 200mm Silicon Carbide (SiC) power MOSFETs as a new pillar on Singapore"s Future of Microlectronics in wide-bandgap. The main objective of this SiC RnD program is to advance 200mm SiC technologies in various areas, such as epitaxy, device design, process integration & fabrication, and power module packaging. The ultimate aim is to drive disruptive innovations in power device research, specifically focusing on >1.7KV power MOSFETs. These innovations will have significant applications in enhancing automotive technologies, vehicle electrification, safety measures, sustainable energy grids, data centers, and industrial & aerospace automation. Key aspects for this role to be successful include the development and integration of several process modules, such as gate oxidation, implantation, implant activation, layout design verification, lithography, and ohmic contact formation. We are actively looking for individuals with extensive industry experience in device physics and process integration to join our team. The candidate will contribute to process integration, E-test and module process related data analysis, yield enhancement, and device physics.

RESPONSIBILITIES:

• Lead develop process technology for SiC power MOSFETs and ensure it meets the requirements for prototyping manufacturing

• Collaborate with advanced process module development team to establish a process flow for fabricating specific MOS devices

• Responsible to develop and improve test structures that enable fast and rigorous characterization of process

• Accountable to improve device performance and yield through the design, execution, and analysis of experiments for each specific device and product

• Work with cross-functional teams to minimize defects and address technical and yield concerns

• Drive CIP (Continuous improvement plans) to deliver integrated process modules and specific device per project goals

• Make decisions regarding the delivery of process, active and passive devices to multiple customers

REQUIREMENTS:

• MS/PhD Degree in Electrical Engineering or related field

• >3 years industrial experience for MOSFET process integration and device physics

• Proactive, self-motivated, and results-oriented professional with the ability to make efficient contributions to and lead technical discussions

• Extensive expertise in material and process integration

• Comprehensive understanding of semiconductor materials and the physics of MOSFET devices

• Strong communication skills to effectively communicate information about module integration for device fabrication and with customers

• Excellent analytical skills for interpreting process and device data, coupled with strong presentation abilities

ROLE:

A*Star-IME is currently working on establishing a hybrid fabrication platform for 150mm and 200mm Silicon Carbide (SiC) power MOSFETs as a new pillar on Singapore"s Future of Microlectronics in wide-bandgap. The main objective of this SiC RnD program is to advance 200mm SiC technologies in various areas, such as epitaxy, device design, process integration & fabrication, and power module packaging. The ultimate aim is to drive disruptive innovations in power device research, specifically focusing on >1.7KV power MOSFETs. These innovations will have significant applications in enhancing automotive technologies, vehicle electrification, safety measures, sustainable energy grids, data centers, and industrial & aerospace automation. Key aspects for this role to be successful include the development and integration of several process modules, such as gate oxidation, implantation, implant activation, layout design verification, lithography, and ohmic contact formation. We are actively looking for individuals with extensive industry experience in device physics and process integration to join our team. The candidate will contribute to process integration, E-test and module process related data analysis, yield enhancement, and device physics.

RESPONSIBILITIES:

• Lead develop process technology for SiC power MOSFETs and ensure it meets the requirements for prototyping manufacturing

• Collaborate with advanced process module development team to establish a process flow for fabricating specific MOS devices

• Responsible to develop and improve test structures that enable fast and rigorous characterization of process

• Accountable to improve device performance and yield through the design, execution, and analysis of experiments for each specific device and product

• Work with cross-functional teams to minimize defects and address technical and yield concerns

• Drive CIP (Continuous improvement plans) to deliver integrated process modules and specific device per project goals

• Make decisions regarding the delivery of process, active and passive devices to multiple customers

REQUIREMENTS:

• MS/PhD Degree in Electrical Engineering or related field

• >3 years industrial experience for MOSFET process integration and device physics

• Proactive, self-motivated, and results-oriented professional with the ability to make efficient contributions to and lead technical discussions

• Extensive expertise in material and process integration

• Comprehensive understanding of semiconductor materials and the physics of MOSFET devices

• Strong communication skills to effectively communicate information about module integration for device fabrication and with customers

• Excellent analytical skills for interpreting process and device data, coupled with strong presentation abilities

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:
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:
A*STAR-IME is spearheading the establishment of the Silicon Carbide (SiC) R&D program. This initiative aims to advance 200mm Silicon Carbide technologies across various areas including epitaxy, device design, process integration & fabrication, and power module packaging. The primary goal is to catalyze disruptive innovations in power device research, focusing particularly on >1.2KV power MOSFETs. These innovations are targeted towards enhancing automotive technologies, vehicle electrification, safety measures, sustainable energy grids, data centers, and industrial & aerospace automation. One of the critical challenges in SiC MOSFETs fabrication lies in gate stack formation and interface characterization. For this purpose, a skillful lead with hands-on experience, proactive motivation, quick learning abilities, and strong interpersonal skills is being sought to contribute to gate stack design and interface characterization. This candidate will be also groomed to lead a front-end team of ~5 headcounts for wide-bandgap integration in the next 3 years.

RESPONSIBILITIES:

• Candidate will perform detailed design of experiments for gate stacks optimizations; aimed to develop highly reliable SiC MOS gate module technology.

• To conduct hands-on work for MOSCAP process & interface characterizations, including MOS CV & variable frequency CV analysis, DLTS characterization, and more.

• Responsible for analyzing electrical test data, benchmarking with publicly available results, and apply established physics-based theories of interface trap behavior in 4H-SiC

• Collaborate with the project members to ensure gate oxide goals meet performances, quality, and reliability standards aligned to customer expectations

• Ensure that design of experiments stays on schedule and mitigate overall risks

• Engage with diverse teams, including process integration, characterization, and advanced process modules, to analyze & debug device/process-related challenges

• Working closely with internal and external customers to understand their demands and mitigate their issues

REQUIREMENTS:

• PhD Degree in Electrical Engineering or related field

• Up to 3 years of relevant industry experience

• MOSCAP layout design with good understanding of the gate interface, gate dielectric materials at the atomic level and ALD of high-k dielectric materials will be required

• Solid understanding of MOSFET and HEMT device physics, preferably with SiC and GaN materials

Responsibilities

• The candidate will be required to perform electrical testing, test data analysis & automation across SiC power and RF/mmWave GaN devices.
• The candidate hands-on characterization work will encompass from low voltage I-V/C-V to high voltage breakdown, switching performances for SiC, and DC & high-frequency characterizations for RF/mmWave regime.
• The candidate must have hands-on experienced in handling Keysight 4156C and B1500A/Keithley K4200 Device Analyzer, B1505A High Power Device Analyzer with N1265A UHC Fixture and Keysight 4284A/4285A and E4908A LCR Meter independently on their own.
• It will be a plus if the candidate has knowledge of instrumentation control using LabView and some other software like Python, C++ etc .
• The candidate is required to have at least some basic semi-conductor knowledges of semi-conductor devices like P-N Junction, Diodes, CMOS etc.
• The candidate can be exposed to process and device design/simulation with commercial TCAD tools (e.g. Silvaco Victory Process and Victory Device, Sentaurus Process and Device, etc) as part of the learning development and eventually be working on wide bandgap devices team.

Qualifications:

• Bachelors / Masters' degree in Electrical Engineering, Materials Science, Mechanical Engineering, Chemical Engineering, Chemistry, Physics or equivalent
• At least 5 years of relevant experience preferred. Candidates with relevant study/project experience (Electronics, Microelectronics, Computer Engineering, etc) can be considered.
• 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".
• Industry experience 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.

The (Senior) Research Engineer must be willing to work on multi-disciplinary research projects at the intersection of computational neuroscience and AI. This includes designing human behavioral experiments and collecting human responses, alongside developing computational models of cognitive functions (visual attention, eye movements, visual perception, memory, context reasoning, and multi-agent decision making).

Job Requirements:

• Bachelor's degree (or above) in Computer Science, background in AI.
• At least 5 years of experience
• Strong analytical and critical thinking skills, good team player with good communication and interpersonal skills
• Proficient in coding any of the following models, algorithms, hardwares, tools (at least 5 from the list below):

Multi-agent Reinforcement learning, deep reinforcement learning, Convolution Neural Nets, Hebbian learning, vision transformer, continual learning, scene graphs, reward, inverse reinforcement learning, backpropogation, shape bias, knowledge distillation, self-supervised learning, augmented memory, variational auto-encoder, associative memory, foveation, Blender, cause-effect, neuro-symbolic, recurrent neural networks, LSTM, Mturk, Prolific, Python, Matlab, Pytorch, Tensorflow, NVIDIA, cross-entropy, maximum likelihood, metric learning, representation learning, open-set, long-tailed, object detection, object classification, mixup, style transfer, data augmentation, curriculum learning, generalization, out-of-distribution, domain shifts, random forest, decision tree, Monte Carlo tree search, hard and soft attention, meta-learning, depth estimation, video tracking, predictive coding

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.

A qualified candidate will be self-motivated with strong technical and analytical skills as well as possess practical and hands-on approach to engineering control in the areas of metrology management

Responsibilities:

· Recipe creation and optimisation for new R&D applications requirement.
- Preventive and corrective maintenance planning cum execution and vendor management.

· To take charge of new tools technical assessment and tender creation (equipment cum process application startup) and service contract tender set-up

· Drive continuous improvement projects (CIP) to achieve better measurement repeatability (MSA, GR&R, SPC etc).

· To set-up appropriate process and product control plan and out of control action plans (OCAP)

· Provide technical training to related staff on best-known practices in terms of application metrology recipe creation.

Requirement:

· Diploma/Bachelor degree in Electrical and Electronics, Material, Physics or Chemical engineering

· Minimum 3~5 years of hands-on semiconductor experience (preferably in metrology application and equipment maintenance)

· Possess computer soft ware skills (i.e. JMP, Minitab, SQL, Visual basic, etc)

· Knowledge in problem solving and quality control skills (i.e. LEAN 6sigma, RCA, DOE, etc)

A qualified candidate will be self-motivated with strong technical and analytical skills as well as possess practical and hands-on approach to engineering control in the areas of metrology management

Responsibilities:

· Recipe creation and optimisation for new R&D applications requirement.
- Preventive and corrective maintenance planning cum execution and vendor management.

· To take charge of new tools technical assessment and tender creation (equipment cum process application startup) and service contract tender set-up

· Drive continuous improvement projects (CIP) to achieve better measurement repeatability (MSA, GR&R, SPC etc).

· To set-up appropriate process and product control plan and out of control action plans (OCAP)

· Provide technical training to related staff on best-known practices in terms of application metrology recipe creation.

Requirement:

· Diploma/Bachelor degree in Electrical and Electronics, Material, Physics or Chemical engineering

· Minimum 3~5 years of hands-on semiconductor experience (preferably in metrology application and equipment maintenance)

· Possess computer soft ware skills (i.e. JMP, Minitab, SQL, Visual basic, etc)

· Knowledge in problem solving and quality control skills (i.e. LEAN 6sigma, RCA, DOE, etc)

The (Senior) Research Engineer must be willing to work on multi-disciplinary research projects at the intersection of computational neuroscience and AI. This includes designing human behavioral experiments and collecting human responses, alongside developing computational models of cognitive functions (visual attention, eye movements, visual perception, memory, context reasoning, and multi-agent decision making).

Job Requirements:

• Bachelor's degree (or above) in Computer Science, background in AI.
• At least 2 years of experience
• Strong analytical and critical thinking skills, good team player with good communication and interpersonal skills
• Proficient in coding any of the following models, algorithms, hardwares, tools (at least 5 from the list below):

Multi-agent Reinforcement learning, deep reinforcement learning, Convolution Neural Nets, Hebbian learning, vision transformer, continual learning, scene graphs, reward, inverse reinforcement learning, backpropogation, shape bias, knowledge distillation, self-supervised learning, augmented memory, variational auto-encoder, associative memory, foveation, Blender, cause-effect, neuro-symbolic, recurrent neural networks, LSTM, Mturk, Prolific, Python, Matlab, Pytorch, Tensorflow, NVIDIA, cross-entropy, maximum likelihood, metric learning, representation learning, open-set, long-tailed, object detection, object classification, mixup, style transfer, data augmentation, curriculum learning, generalization, out-of-distribution, domain shifts, random forest, decision tree, Monte Carlo tree search, hard and soft attention, meta-learning, depth estimation, video tracking, predictive coding

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 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.

We are looking for an energetic and motivated engineer to join our team. In this position you’ll play an important role in helping to develop cutting edge manufacturing technologies, as well in helping companies innovate and grow. And while doing so you’ll have the opportunity to work directly in and understand the industrial environment.

If you are passionate about engineering, process development, operating heavy machinery, advanced manufacturing, materials, and processes, this could be the role for you!

JOB DESCRIPTION

• Provide technical support and conduct process trials/experiments for both research and industry projects.
• Be an integral member of a metal casting team involving the operation of heavy machinery.
• Conduct materials characterization and testing.
• Engage with industry partners, customers and research collaborators to develop and execute plans.
• Provide timely project update and reports to team members, collaborators, and sponsors.
• Perform other ad-hoc roles / tasks as required / assigned.

JOB REQUIREMENT

• Bachelor’s degree in mechanical engineering / Materials Science and Engineering.
• Experience and knowledge in metallurgy, metal solidification and behaviour.
• Knowledge with CAD or SolidWorks is preferred but not required.
• Experience in an R&D environment or related industry is preferred but not required.

These are some of the soft skills we are looking for:

• Self-driven and proactive, apply logic and reason to effectively solve problems and manage risks.
• Team player with the ability to work effectively and independently within the team.
• Welcoming ideas from others and drive processes forward in an inclusive manner.
• Professionalism in communicating and interacting with team members and industry players.
• Attention to detail.
• Keen interest and ability to learn and adapt to new technologies to stay up-to-date and remain relevant.

We are looking for an energetic and motivated engineer to join our team. In this position you’ll play an important role in helping to develop cutting edge manufacturing technologies, as well in helping companies innovate and grow. And while doing so you’ll have the opportunity to work directly in and understand the industrial environment.

If you are passionate about engineering, process development, operating heavy machinery, advanced manufacturing, materials, and processes, this could be the role for you!

JOB DESCRIPTION

• Provide technical support and conduct process trials/experiments for both research and industry projects.
• Be an integral member of a metal casting team involving the operation of heavy machinery.
• Conduct materials characterization and testing.
• Engage with industry partners, customers and research collaborators to develop and execute plans.
• Provide timely project update and reports to team members, collaborators, and sponsors.
• Perform other ad-hoc roles / tasks as required / assigned.

JOB REQUIREMENT

• Bachelor’s degree in mechanical engineering / Materials Science and Engineering.
• Experience and knowledge in metallurgy, metal solidification and behaviour.
• Knowledge with CAD or SolidWorks is preferred but not required.
• Experience in an R&D environment or related industry is preferred but not required.

These are some of the soft skills we are looking for:

• Self-driven and proactive, apply logic and reason to effectively solve problems and manage risks.
• Team player with the ability to work effectively and independently within the team.
• Welcoming ideas from others and drive processes forward in an inclusive manner.
• Professionalism in communicating and interacting with team members and industry players.
• Attention to detail.
• Keen interest and ability to learn and adapt to new technologies to stay up-to-date and remain relevant.

This position will be part of a multi-disciplinary team, which supports the development and scale-up of chemical processes in developing high fidelity process models and simulations with multi-physics, chemistry and scale effects. The models and simulations will be supporting the development, design, optimization, qualification of both catalytic / noncatalytic chemical processes from laboratory bench scale to pilot scale.

The scope of work includes:

• Development, customisation and validation of process model and simulation of multi-phase chemical processes in advanced reactor technologies such as a Fluidised bed reactor (FBR)
• Develop and/or adopt numerical methods for high-fidelity Multiphysics (including chemical effects) and multi-phase fluid flow simulation and models
• Support lab experimentation and process optimisation using highfidelity multi-physics model
• Collaborate with affiliated research institutes, institute of higher learnings, industry companies, and other relevant stakeholders

Job Requirements

• PhD or Master's Degree in Chemical, Mechanical Engineering, Engineering Physics or a related field.
• 5 years (PhD) or more than 8 years (Masters)
• Experience in developing, customising and validating high fidelity process models and simulations for catalytic chemical processes in different reactor technologies such as Fluidised Bed Reactor (FBR) etc.
• Experience with commercial computational fluid dynamic (CFD) platforms such as COMSOL Multiphysics, ANSYS Fluent or open-source platform such as OpenFOAM.
• Experience in other simulation tools eg. gPROMs, Aspen Plus, AVEVA, Pro II
• Excellent working knowledge of multi-physics and chemical engineering principles, including: hydrodynamics, thermodynamics, heat and mass transport, reaction kinetics, and reactor design.
• Motivated self-starter with the ability to work independently and to participate creatively in multidisciplinary team consisting of scientists and engineers
• Good analytical and problem-solving skills and quick to adapt to changes
• Resourceful, proactive, self-driven with a high degree of professional integrity and Strong communication and excellent writing 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.

This position will be part of a multi-disciplinary team, which supports the development and scale-up of chemical processes in developing high fidelity process models and simulations with multi-physics, chemistry and scale effects. The models and simulations will be supporting the development, design, optimization, qualification of both catalytic / noncatalytic chemical processes from laboratory bench scale to pilot scale.

The scope of work includes:

• Development, customisation and validation of process model and simulation of multi-phase chemical processes in advanced reactor technologies such as a Fluidised bed reactor (FBR)
• Develop and/or adopt numerical methods for high-fidelity Multiphysics (including chemical effects) and multi-phase fluid flow simulation and models
• Support lab experimentation and process optimisation using highfidelity multi-physics model
• Collaborate with affiliated research institutes, institute of higher learnings, industry companies, and other relevant stakeholders

Job Requirements

• PhD or Master's Degree in Chemical, Mechanical Engineering, Engineering Physics or a related field.
• 3-5 years (PhD) or more than 5 years (Masters)
• Experience in developing, customising and validating high fidelity process models and simulations for catalytic chemical processes in different reactor technologies such as Fluidised Bed Reactor (FBR) etc.
• Experience with commercial computational fluid dynamic (CFD) platforms such as COMSOL Multiphysics, ANSYS Fluent or open-source platform such as OpenFOAM.
• Experience in other simulation tools eg. gPROMs, Aspen Plus, AVEVA, Pro II
• Excellent working knowledge of multi-physics and chemical engineering principles, including: hydrodynamics, thermodynamics, heat and mass transport, reaction kinetics, and reactor design.
• Motivated self-starter with the ability to work independently and to participate creatively in multidisciplinary team consisting of scientists and engineers
• Good analytical and problem-solving skills and quick to adapt to changes
• Resourceful, proactive, self-driven with a high degree of professional integrity and Strong communication and excellent writing 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.