On behalf of the hiring company that is in the Built Environment OEM space, we are looking for suitable personnel to join them as Software Development Executives (electrical background):

Responsibilities :

• Software Design: Develop software for various vertical transportation systems, including Housing & Development Board (HDB), private, and modernisation systems. Refer to approved layout drawings, production requests, machine applications, client specifications, and electrical straight diagram drawings.
• Electrical Diagram Review: Interpret and verify electrical straight diagram drawings from the Hardware Design Department. Identify and report any inconsistencies or errors.
• Documentation and Communication: Issue notices, instructions, software documents, and contract-related materials as needed.
• Factory Support: Assist factory testing staff with job software design and technical troubleshooting during system testing.
• Design Optimisation: Ensure that software designs are cost-effective and fully comply with client specifications and project timelines.
• Error Investigation: Participate in investigating software errors and develop corrective and preventive measures. Collaborate with the Electrical Department to address any discrepancies between software and hardware designs and resolve issues before shipping the system to the site.
• Field Support: Assist system installation staff during on-site installations. Troubleshoot problems, and modify software as necessary to meet client requirements.

Requirements

• A diploma (at least 3 years) or degree in Electrical Engineering
• Familiar with programming languages such as C, C++, etc
• Familiar with schematic or single-line designs/drawings
• Able to work independently and as a team

Remuneration will be pegged to qualification and experience

Location: East (near to MRT station)

EA Licence : 22C0971 | EA Registration : R21101298

ROLE DESCRIPTION SUMMARY

Thales is seeking suitable candidate for the position of Service support engineer.

You will be maintaining and troubleshooting the hardware infrastructure and systems for a mission-critical Seamless Identity Management Platform for Experience (SIMPLE) system that Thales Solutions Asia (TSA) have designed for Singapore Changi Airport.

You will be part of a team of dedicated engineers that demonstrate superior technical competency in ensuring system availability, performance and security

KEY ACTIVITIES AND RESPONSIBILITIES

As aField Service Engineer, you are accountable for:

· Field Support. To carry out Corrective Maintenance (CM) as a result of failure of the hardware and software related to SIMPLE. To restore the system to its operational condition. To monitor and maintain the records of the overall system operational availability and reliability, including Mean Time Between Failure (MTBF), Mean Time to Repair (MTTR), system downtime duration and the types of hardware defects as well as all related software versions, patches.

· Field Testing. To carry out software testing on the system whenever there is a new software bug fixes. To ensure the correct configuration of the system is loaded for software / system testing and before the system is used for production.

· Spares Services. To manage the spares provisioning, support and test equipment and other tools that are stored at Authority site. To undertake store keeping functions in respect of receipt, issue and disposal. To carry out serviceability check on the spares and to ensure prompt and appropriate action is taken to rectify any fault on the spares. To monitor the end-of-life and end-of-support status of the spares and installed hardware.

· Preventive Maintenance (PM). To carry out PM on the hardware to retain the system in the specified operational condition in accordance to the planned maintenance schedule. In carrying out the PM, to follow the approved PM checklists to perform calibration, servicing and verification of system configurations. To submit the PM report after each PM.

· Calibration Services. To liaise with vendor to perform calibration services on the test equipment that are used for the preventive maintenance.

KEY KNOWLEDGE AND EXPERIENCE

To be successful in your role, you will have demonstrated and/or acquired the following knowledge and experience:

· 2 shifts of 12 hours, 24x7 operation

· Able to cope in a highly pressured fast-paced environment

· Prior working experience in any Server / Network / Uninterruptible Power System / Security products such as Firewall, PIM and PAM and Server Virtualization will be an added advantage

· Customer orientated with high level of service attitude

· Good listening and analytical skills

· Hardworking, outgoing and enthusiastic

· Positive working attitude

· Team player, and also able to work independently and with little supervision

· Able to thrive in a dynamic environment

· Able to understand the system and architecture diagrams

· Able to understand the user operation environment

· Willingness to pick up new technologies

· Perform other job responsibilities as and when assigned

Education

Diploma / Bachelor’s Degree in IT/Engineering discipline

CCNA certified

Experience

Minimally 1-2 years of experience in supporting network, security, server and UPS

Minimally 1-2 years of experience in supporting mission critical systems with a stringent SLA of 99.9%

Well-versed in IT Service Management (ITSM) standards, processes, guidelines and best practices will be an

As an Equipment Engineer, you will own all assigned toolsets. The preferred candidate can troubleshoot difficult and poorly defined problems related to mechanics, electronics, and processes using tool knowledge/experience, SPC, schematics, and other available resources. The candidate will collaborate extensively with the area maintenance team and process engineering. Some collaboration will be with tool vendors, other area engineers/managers, procurement, and production.

Responsibilities:

• Provide technical leadership and management of 200MM and 300MM Semiconductor processing equipment in Support of Main Stream Semiconductor Processes and Advanced Packaging processes. Highly desirable for a candidate to have a background in at least one of the following areas: Photolithography, PVD and CVD Thin Films, Dry Etch, Wet Etch /Wafer Clean, Diffusion, Bond, Electroplate (ECD), CMP, or Metrology (some areas may be combined).
• Work with process engineering to drive root-cause corrective actions for equipment failures, implement permanent solutions, and eliminate chronic and long-term down events.
• Lead continuous improvement teams to drive tool matching, availability, and throughput improvements and reduce risk.
• Management of new tool installation, start-up, and tool upgrades to increase fab capability and capacity, lower costs, and improve yields.
• Work with minimal supervision, balancing competing priorities, to serve the needs of the Maintenance, Production, and Development organizations.
• Participate in cross-functional teams that create efficiencies across all layers of the organization.

Required Qualifications

• Degree / Diploma with 10+ years of relevant Semiconductor Industry Experience in Mechanical, Electrical, or Chemical Engineering, Materials Science, Physics, or another relevant Engineering discipline.
• 6+ years of experience within the respective areas of expertise. Experience should include one or more: Semiconductor Wafer Handling, RF Power, High Vacuum, Toxic Gas Delivery systems, Precision Optics, and Wet Chemistry.
• Demonstrated experience with the application of structured problem-solving methodology.
• Positive interpersonal skills, highly energetic and self-motivated.
• Demonstrated ability to meet requirements and deliver results.
• Ability to manage and execute multiple projects simultaneously and shift priorities to meet business needs.

Preferred Qualifications

• Diploma or Bachelor of Science/Engineering in Mechanical, Electrical or Chemical Engineering or Materials Science, Physics or other relevant Engineering discipline.
• Semiconductor Wafer Handling, RF Power, High Vacuum, Toxic Gas Delivery systems, Precision Optics, Wet Chemistry.
• Positive interpersonal skills, highly energetic and self-motivated.
• Experience with Automated Fault Detection and Classification Systems (FDC).
• Strong background with utilizing SPC.
• High level of understanding of equipment component behaviour.
• Experience Integrating Equipment Maintenance Management Software

• Full time Level 2 “Cisco Voice and Wireless” Network engineer to perform and handle but not limiting to:
• Project technical lead for ICT Projects
• Support in daily operations on incident management, problem(s) / issue(s) remediation and service(s) restoration.
• Fulfilling of service request(s) related to network voice and wireless following the Change Management procedure. Create and maintain documentations of network configuration, network diagram, mapping, processes, and service records.
• Manage, track and assessment all of principal advisories on patches on vulnerability and firmware upgrades Planning and applying of devices security patches and firmware upgrades.
• Any other tasks assigned by the Institute.

Full time Level 2 “Cisco Voice and Wireless” required qualification and experience:

At least 3 years of strong experience with in-depth hands-on experience on Cisco Wireless devices and Cisco Voice devices as below:

• Cisco Wireless Controllers
• Aruba Clearpass
• Cisco DNAC
• Cisco ISE
• Cisco CMX
• Cisco Expressway Core and Edge for Jabber, Cisco Auto Attendant, Call Manager
• Cisco Voice Gateway
• Relevant Diploma or Bachelor’s Degree in Computer Engineering (or equivalent).
• Candidate with CCNP Wireless and/or CCNP Collaboration or equivalent will be an added advantage.
• Strong communications and written skills in English.
• Excellent problem-solving skills in a multi-tasking, fast-paced and complex work environment.
• Good communication skill, positive attitude, team player, resourceful and resolve problems independently.
• At least 3 years supporting a campus wireless network and IP voice infrastructure.

As an Equipment Engineer, you will own all assigned toolsets. The preferred candidate can troubleshoot difficult and poorly defined problems related to mechanics, electronics, and processes using tool knowledge/experience, SPC, schematics, and other available resources. The candidate will collaborate extensively with the area maintenance team and process engineering. Some collaboration will be with tool vendors, other area engineers/managers, procurement, and production.

Responsibilities:

• Provide technical leadership and management of 200MM and 300MM Semiconductor processing equipment in Support of Main Stream Semiconductor Processes and Advanced Packaging processes. Highly desirable for a candidate to have a background in at least one of the following areas: Photolithography, PVD and CVD Thin Films, Dry Etch, Wet Etch /Wafer Clean, Diffusion, Bond, Electroplate (ECD), CMP, or Metrology (some areas may be combined).
• Work with process engineering to drive root-cause corrective actions for equipment failures, implement permanent solutions, and eliminate chronic and long-term down events.
• Lead continuous improvement teams to drive tool matching, availability, and throughput improvements and reduce risk.
• Management of new tool installation, start-up, and tool upgrades to increase fab capability and capacity, lower costs, and improve yields.
• Work with minimal supervision, balancing competing priorities, to serve the needs of the Maintenance, Production, and Development organizations.
• Participate in cross-functional teams that create efficiencies across all layers of the organization.

Required Qualifications

• Degree / Diploma with 10+ years of relevant Semiconductor Industry Experience in Mechanical, Electrical, or Chemical Engineering, Materials Science, Physics, or another relevant Engineering discipline.
• 6+ years of experience within the respective areas of expertise. Experience should include one or more: Semiconductor Wafer Handling, RF Power, High Vacuum, Toxic Gas Delivery systems, Precision Optics, and Wet Chemistry.
• Demonstrated experience with the application of structured problem-solving methodology.
• Positive interpersonal skills, highly energetic and self-motivated.
• Demonstrated ability to meet requirements and deliver results.
• Ability to manage and execute multiple projects simultaneously and shift priorities to meet business needs.

Preferred Qualifications

• Diploma or Bachelor of Science/Engineering in Mechanical, Electrical or Chemical Engineering or Materials Science, Physics or other relevant Engineering discipline.
• Semiconductor Wafer Handling, RF Power, High Vacuum, Toxic Gas Delivery systems, Precision Optics, Wet Chemistry.
• Positive interpersonal skills, highly energetic and self-motivated.
• Experience with Automated Fault Detection and Classification Systems (FDC).
• Strong background with utilizing SPC.
• High level of understanding of equipment component behaviour.
• Experience Integrating Equipment Maintenance Management Software

· Responsible for project management, On-Premise Network Management, Cloud Deployment, implementation, testing, support, and maintenance of Cloud Hosting Environment.

· Provide support, act as liaison/ consultant for Deployment of SaaS solution on the Cloud Environment.

· Provide support for SaaS solutions on the Cloud Environment offered by the Company.

· Responsible for testing out different tools used for Code Scanning, Vulnerability assessment and penetration testing on our environment.

· Support team members in the continuous effort to enhance and upgrade existing Hosting environment to support changes in the technology and business environment.

· Provide good service and timely response to the needs of external customers and within the office

JOB SCOPE & JOB RESPONSIBILITIES

• Experience in an engineering, procurement and operations.
• Ability to analyze bills of material and drawings to understand key requirements.
• Knowledge and direct experience in negotiating contracts and quotations with Contract Manufacturers and Suppliers.
• Ability to identify cost reduction opportunities.
• Responsible for procurement, sourcing and negotiation.
• Any duties as assigned by supervisor from time to time.

JOB REQUIREMENT

• Diploma or Bachelor degree in engineering.
• At least 3 years experience in procurement engineering.
• Good procurement knowledge is a must.
• Possess good analytical skills, resourceful and independent.
• Team player
• Effective verbal & written communication skills.

Candidate will be required to develop, secure and manage industry partnerships for the NGTC. Candidate should stay updated on RF/mmWave GaN market trends and conduct thorough market research and competitive analysis on companies, competitors and the market for actionable insights. This may involve conducting SWOT analyses to enable NGTC to come up with a strategic plan to optimise business and research collaborations.

Candidate will also be responsible for developing and executing marketing strategies to promote NGTC’s capabilities to interested parties.

Candidate will be required to work alongside various internal and external stakeholders and teams to develop NGTC’s strong value propositions and assist with market intelligence to shape the NGTC’s strategies.

Candidate will be required to carry out account management of companies for NGTC to strengthen customer relationships.

Candidate will be required to coordinate and engage with internal stakeholders such as A*STAR’s Industry and Enterprise Group, Institute of Microelectronics or various other public sector agencies.

Requirements:

• Degree in Science or Engineering
• Minimum 5 years of relevant working experience, preferably with a background in GaN technology and industrial commercialization.
• Able to structure and negotiate collaboration agreements.
• Strong analytical skills.
• Strong communication (written and verbal), marketing and interpersonal 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 ecosystem.

Who we are

Crédit Agricole Corporate and Investment Banking (Crédit Agricole CIB) is the corporate and investment banking arm of Crédit Agricole Group, world’s 12th largest bank by total assets.

• Our Singapore center (“ISAP” or “Information Systems Asia Pacific”) is the 2nd largest IT setup (after Paris Head Office)” for Crédit Agricole CIB's worldwide business. We work daily with international branches located in 30 markets by:

- Envisioning and preparing the Bank’s futures information systems

- Partnering and supporting core banking flagships and transverse areas in their large scale development projects.

- Providing premium In-house Banking applications,

• This unique positioning empowers us to bring our core banking business a sustainable competitive advantage on the market.
• We seek innovative and agile people sharing our mindset to support ambitious and forthcoming technological challenges.

Mission

As an intern, your mission is to become a valuable asset to our organization by:

• Interacting comfortably with people: Building strong collaborative relationships within the team and stakeholders.
• Automation and Development: Demonstrating a deep passion for development, specially in

- Technologies: Java/J2EE, Shell Scripting, PL/SQL, SQL

- Database: Sybase, Oracle, PostGreSQL

- BDD Framework: Cucumber

- Source Code/Lifecycle Management: SVN/GIT, Jenkins, Gitlab, Ansible, MasterDeploy

- Automation tools and frameworks: JUnit, TestNG, Selenium

• Interest in Bank activities: Apetite to understand the business activities of the bank on Capital Markets.
• Process automation: Appetite for continuous improvement and automation of new as well as existing process to enhance efficiency and reduce the TAT.

During your internship, you will have the opportunity to:

• Learn about Global Market Front Office activities, Financial Data, Transaction Reporting, Market Data, Risk Indicators and Regulaotry requirements – opportunity to learn end-to-end invensment banking workflow.
• On the job training to directly apply your learning and be impactful.
• Gain insights into Software Development, understand the SDLC and its real-life implementation.
• Collaborate with Subject Matter Experts, including Business Analysts, Support Analysts, Developers, DevOps Engineers, and Quality Software Developers.
• Benefit from the guidance of a dedicated mentor.
• Deliver on jobs that directly impact the banks day-to-day activities and witness the added value of your job directly from business lines.

Qualifications and Profile

Candidates should have:

• JAVA/J2EE.
• SQL, PL/SQL and UNIX/LINUX Scripting skills.
• Excellent Aptitude, Curious to learn and inquisitive.
• Excellent communication and interpersonal skills.
• Autonomous, self motivated and excellent team player.
• Fluency in English - as acting in a multi-cultural environment.

The scope will be adapted depending on the situation and the progress of the trainee.

Please apply via below link:

https://app.jobvite.com/j?cj=oj2Bufwa&s=URL

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

AI Singapore (AISG) is a national AI programme launched by the National Research Foundation (NRF) to anchor deep national capabilities in Artificial Intelligence (AI).

The programme office is hosted by the National University of Singapore (NUS) and brings together all Singapore-based research institutions and the vibrant ecosystem of AI start-ups and companies developing AI products to perform use-inspired research, grow the knowledge, create the tools, and develop the talent to power Singapore's AI efforts.

The candidate will be seconded to a company under the Technology for Enterprise Capability Upgrading for Artificial Intelligence (T-UP(AI)) scheme. He or she will experiment and help the company in building up R&D or technological innovation in AI.

Depending on the candidate's experience, the candidate may be expected to provide technical leadership, engage stakeholders, mentor and guide junior engineers in the project.

• Develop software and system applications using software engineering and AI technologies.
• Collaborate with other teams to design AI solutions.
• Maintain code repository, develop new features, and resolve issues raised by users.
• Perform the necessary data preparation and analysis, AI modelling, coding, testing, validation and deployment to ensure reliable and scalable AI solution.
• Mentor AI apprentices throughout project duration.
• Contribute to community engagement activities such as conducting meetups, technical sharing, blogging and participating in discussion forums.

Qualifications

• Degree in computer science, machine learning, statistics, AI, and other relevant equivalent quantitative fields.
• Experience in writing production level code in Python and/or C++
• Strong background in other programming languages will be advantageous.
• Experience in AI/Machine learning frameworks such as Tensorflow and Pytorch.
• Experience in using deployment tools such as Docker.
• Data story-telling, information visualisation and technical writing skills.

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

AI Singapore (AISG) is a national AI programme launched by the National Research Foundation (NRF) to anchor deep national capabilities in Artificial Intelligence (AI).

The programme office is hosted by the National University of Singapore (NUS) and brings together all Singapore-based research institutions and the vibrant ecosystem of AI start-ups and companies developing AI products to perform use-inspired research, grow the knowledge, create the tools, and develop the talent to power Singapore's AI efforts.

The candidate will be seconded to a company under the Technology for Enterprise Capability Upgrading for Artificial Intelligence (T-UP(AI)) scheme. He or she will experiment and help the company in building up R&D or technological innovation in AI.

Depending on the candidate's experience, the candidate may be expected to provide technical leadership, engage stakeholders, mentor and guide junior engineers in the project.

• Develop software and system applications using software engineering and AI technologies.
• Collaborate with other teams to design AI solutions.
• Maintain code repository, develop new features, and resolve issues raised by users.
• Perform the necessary data preparation and analysis, AI modelling, coding, testing, validation and deployment to ensure reliable and scalable AI solution.
• Mentor AI apprentices throughout project duration.
• Contribute to community engagement activities such as conducting meetups, technical sharing, blogging and participating in discussion forums.

Qualifications

• Degree in computer science, machine learning, statistics, AI, and other relevant equivalent quantitative fields.
• Experience in writing production level code in Python and/or C++
• Strong background in other programming languages will be advantageous.
• Experience in AI/Machine learning frameworks such as Tensorflow and Pytorch.
• Experience in using deployment tools such as Docker.
• Data story-telling, information visualisation and technical writing skills.

Who we are

Crédit Agricole Corporate and Investment Banking (Crédit Agricole CIB) is the corporate and investment banking arm of Crédit Agricole Group, world’s 12th largest bank by total assets.

• Our Singapore center (“ISAP” or “Information Systems Asia Pacific”) is the 2nd largest IT setup (after Paris Head Office)” for Crédit Agricole CIB's worldwide business. We work daily with international branches located in 30 markets by:

- Envisioning and preparing the Bank’s futures information systems

- Partnering and supporting core banking flagships and transverse areas in their large scale development projects.

- Providing premium In-house Banking applications,

• This unique positioning empowers us to bring our core banking business a sustainable competitive advantage on the market.
• We seek innovative and agile people sharing our mindset to support ambitious and forthcoming technological challenges.

The Team and Position

Embark on a transformative career journey as a DevOps in our Capital Market Department! Join a forward-thinking team committed to revolutionizing financial technology.

As an Intern, you will be immersed in cutting-edge projects, shaping the future of capital markets. Unleash your creativity, collaborate with industry leaders, and drive innovation that sets new standards. This is your chance to be a catalyst for change and make your mark in the dynamic world of capital markets.

Capital Markets IT involves technology solutions and systems used in financial markets for trading, investment, and related activities. This includes electronic trading platforms, risk management systems, market risk, counterparty risk, algorithmic trading, data analytics, and Regulatory measures. The use of advanced technologies like blockchain and artificial intelligence is also becoming increasingly prevalent in capital markets to enhance efficiency and decision-making processes.

AO (DevOps) team Main Role

• Industrialization: Implement all necessary tools to manage the environments, the continuous integration, the continuous delivery and the processes execution.
• Environments: Manage and administrate environments from assembly to production (rules included), infrastructure implementation, and operational usage.
• Operations: Execute the maintenance operations, delivery and environment monitoring.
• L1: Operate as L1 on non-production environments for delivery teams and on production for support teams.

Main Responsibilities

• Gain practical experience with the latest DevOps tools and technologies, including CI/CD pipelines, cloud platforms, and infrastructure as code.
• Learn how to implement and manage complex environments and processes.
• Participate to the automation of the deployment solution
• Participate in environment preparation for testing phases.
• Work closely with experienced professionals in a collaborative and supportive environment.
• Contribute to the success of the team by implementing innovative solutions and improving processes.
• Stay updated on industry trends and advancements in Java and DevOps methodologies

Qualifications and Profile

Candidates should have:

• Appetite to follow technology trend and participate to communities.
• Eagerness to learn and adapt in a dynamic DevOps environment.
• Proven ability to deliver high-quality software solutions on time.

Other Professional Skills and Mindset

• Understanding of Agile development methodologies.
• Excellent problem-solving and analytical skills.
• Effective communication skills and ability to work collaboratively in a team.
• Eagerness to learn and adapt to new technologies.
• Passion for sharing expertise and grow team members’ skills.

The scope will be adapted depending on the situation and the progress of the trainee.

Please via below link:

https://app.jobvite.com/j?cj=ou3Bufwm&s=URL

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

• Responsible for software engineering efforts for integrated medical technology product solutions.
• Responsible for software architecture design and FW requirements specifications generation.
• Design, develop and implement embedded SW for medical instruments and devices and related interface systems using a variety of languages (e.g. C#, ASP.NET etc.), ensuring optimal performance, reliability, and power efficiency.
• Lead software risk management and DFMEA, software verification and validation activities from early concept phase through release to manufacturing according to IEC 62304.
• Responsible for software integration and implementation for embedded systems, ensuring products are according to design requirement.
• Write and execute complete testing plans, protocols, and documentation.
• Identify, debug, and create solutions for issues with code and integration into application architecture.
• Incorporate real-time data acquisition from sensors and closed loop control algorithms and verify real-time closed loop control of systems parameters.
• Support development of intellectual property portfolio in device design and process technology know-how.
• To interact closely with engineers from other disciplines to achieve an optimized design within the stipulated project schedule.
• Write and review documentations for QMS.
• To support other activities for product engineering when required.

Requirements

• Degree in Information Technology, Computer Science, Electronics or a related discipline.
• Minimum 10 years of experience in developing embedded firmware with hardware integration experience related to MedTech applications.
• Complete product lifecycle experience including early concept work, and successful transfer of designs into manufacturing.
• Experience with electrical components such as ADC, DAC, stepper and dc motors, image sensors, Ethernet, I2C, SPI, USB and CAN.
• Good experience with ARM processors or other microprocessor architectures.
• Knowledge of computer architecture and operating systems.
• Familiarity with variety of Operating systems including Windows, MacOS X and Linux; and Mobile platforms, including iOS and Android.
• Familiarity with Network technologies, including TCP/IP, Bluetooth, Zigbee, WiFi and Modbus.
• Familiarity with Languages such as C/C++, C#, Python, MATLAB, and Java.
• Experience managing QMS and proficient with GMP guidelines.
• Good collaboration skills, organised and detailed.
• Demonstrate strong interpersonal 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.

Candidate will be required to develop, secure and manage industry partnerships for the NGTC. Candidate should stay updated on RF/mmWave GaN market trends and conduct thorough market research and competitive analysis on companies, competitors and the market for actionable insights. This may involve conducting SWOT analyses to enable NGTC to come up with a strategic plan to optimise business and research collaborations.

Candidate will also be responsible for developing and executing marketing strategies to promote NGTC’s capabilities to interested parties.

Candidate will be required to work alongside various internal and external stakeholders and teams to develop NGTC’s strong value propositions and assist with market intelligence to shape the NGTC’s strategies.

Candidate will be required to carry out account management of companies for NGTC to strengthen customer relationships.

Candidate will be required to coordinate and engage with internal stakeholders such as A*STAR’s Industry and Enterprise Group, Institute of Microelectronics or various other public sector agencies.

Requirements:

• Degree in Science or Engineering
• Minimum 5 years of relevant working experience, preferably with a background in GaN technology and industrial commercialization.
• Able to structure and negotiate collaboration agreements.
• Strong analytical skills.
• Strong communication (written and verbal), marketing and interpersonal 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 ecosystem.

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

AI Singapore (AISG) is a national AI programme launched by the National Research Foundation (NRF) to anchor deep national capabilities in Artificial Intelligence (AI).

The programme office is hosted by the National University of Singapore (NUS) and brings together all Singapore-based research institutions and the vibrant ecosystem of AI start-ups and companies developing AI products to perform use-inspired research, grow the knowledge, create the tools, and develop the talent to power Singapore's AI efforts.

The candidate will be seconded to a company under the Technology for Enterprise Capability Upgrading for Artificial Intelligence (T-UP(AI)) scheme. He or she will experiment and help the company in building up R&D or technological innovation in AI.

Depending on the candidate's experience, the candidate may be expected to provide technical leadership, engage stakeholders, mentor and guide junior engineers in the project.

• Develop software and system applications using software engineering and AI technologies.
• Collaborate with other teams to design AI solutions.
• Maintain code repository, develop new features, and resolve issues raised by users.
• Perform the necessary data preparation and analysis, AI modelling, coding, testing, validation and deployment to ensure reliable and scalable AI solution.
• Mentor AI apprentices throughout project duration.
• Contribute to community engagement activities such as conducting meetups, technical sharing, blogging and participating in discussion forums.

Qualifications

• Degree in computer science, machine learning, statistics, AI, and other relevant equivalent quantitative fields.
• Experience in writing production level code in Python and/or C++
• Strong background in other programming languages will be advantageous.
• Experience in AI/Machine learning frameworks such as Tensorflow and Pytorch.
• Experience in using deployment tools such as Docker.
• Data story-telling, information visualisation and technical writing skills.

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

AI Singapore (AISG) is a national AI programme launched by the National Research Foundation (NRF) to anchor deep national capabilities in Artificial Intelligence (AI).

The programme office is hosted by the National University of Singapore (NUS) and brings together all Singapore-based research institutions and the vibrant ecosystem of AI start-ups and companies developing AI products to perform use-inspired research, grow the knowledge, create the tools, and develop the talent to power Singapore's AI efforts.

The candidate will be seconded to a company under the Technology for Enterprise Capability Upgrading for Artificial Intelligence (T-UP(AI)) scheme. He or she will experiment and help the company in building up R&D or technological innovation in AI.

Depending on the candidate's experience, the candidate may be expected to provide technical leadership, engage stakeholders, mentor and guide junior engineers in the project.

• Develop software and system applications using software engineering and AI technologies.
• Collaborate with other teams to design AI solutions.
• Maintain code repository, develop new features, and resolve issues raised by users.
• Perform the necessary data preparation and analysis, AI modelling, coding, testing, validation and deployment to ensure reliable and scalable AI solution.
• Mentor AI apprentices throughout project duration.
• Contribute to community engagement activities such as conducting meetups, technical sharing, blogging and participating in discussion forums.

Qualifications

• Degree in computer science, machine learning, statistics, AI, and other relevant equivalent quantitative fields.
• Experience in writing production level code in Python and/or C++
• Strong background in other programming languages will be advantageous.
• Experience in AI/Machine learning frameworks such as Tensorflow and Pytorch.
• Experience in using deployment tools such as Docker.
• Data story-telling, information visualisation and technical writing skills.

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

AI Singapore (AISG) is a national AI programme launched by the National Research Foundation (NRF) to anchor deep national capabilities in Artificial Intelligence (AI).

The programme office is hosted by the National University of Singapore (NUS) and brings together all Singapore-based research institutions and the vibrant ecosystem of AI start-ups and companies developing AI products to perform use-inspired research, grow the knowledge, create the tools, and develop the talent to power Singapore's AI efforts.

The candidate will be seconded to a company under the Technology for Enterprise Capability Upgrading for Artificial Intelligence (T-UP(AI)) scheme. He or she will experiment and help the company in building up R&D or technological innovation in AI.

Depending on the candidate's experience, the candidate may be expected to provide technical leadership, engage stakeholders, mentor and guide junior engineers in the project.

• Develop software and system applications using software engineering and AI technologies.
• Collaborate with other teams to design AI solutions.
• Maintain code repository, develop new features, and resolve issues raised by users.
• Perform the necessary data preparation and analysis, AI modelling, coding, testing, validation and deployment to ensure reliable and scalable AI solution.
• Mentor AI apprentices throughout project duration.
• Contribute to community engagement activities such as conducting meetups, technical sharing, blogging and participating in discussion forums.

Qualifications

• Degree in computer science, machine learning, statistics, AI, and other relevant equivalent quantitative fields.
• Experience in writing production level code in Python and/or C++
• Strong background in other programming languages will be advantageous.
• Experience in AI/Machine learning frameworks such as Tensorflow and Pytorch.
• Experience in using deployment tools such as Docker.
• Data story-telling, information visualisation and technical writing skills.

Equipment Operation:

• Operate and monitor Tape and Reel packaging machines, ensuring efficient and accurate production.
• Perform setup and adjustments on equipment to meet production specifications.
• Other tasks related to operations assigned based on business needs.

Maintenance and Troubleshooting:

• Conduct routine maintenance on Tape and Reel equipment to ensure optimal performance and minimize downtime.
• Troubleshoot and resolve equipment (Tape and Reel, vacuum sealing, strapping machine etc.) issues.
• Maintain the machine for continuous operation.
• Overview machine performance and compile machine down time.
• Planning and implement the machine upgrade.
• Diagnostic and troubleshoot and rectify any machine related issues.
• Support the machine upgrade.
• Trouble shoot and repair pick and place machine, vacuum machine, strapping machine.
• Buy off for the machine upgrade.
• Maintain the machine’s recipe.
• Maintain and backup the machine’s log records and software.

Machine Preventive / Predictive Maintenance

• Execute periodic preventive maintenance on the machines.
• Overview machine performance, ensure fully support of the machine to the operation.
• Replace the faulty machine parts.
• Record the log of the preventive maintenance for the machines.
• Manage the equipment for the preventive maintenance use.
• Plan and perform predictive maintenance by analyzing the machine performance.
• Ensure no or minimum breakdown of machine with no disruptions to the operations.

Spare part Management

• Vendor sourcing and RFQ for the spares with proper vetting and analysis.
• Procurement of the necessary machine spare parts.
• Setup for the new equipment and tools.
• Keep record of the machine spare parts.
• Track consumption of spares and ensure minimum balance of spares are maintained.
• Source alternate spares to improve the spare parts life.
• Tracking of life span of the spares and improvement projects to increase the life span of spares.
• Overview and manage the replacement of the spare parts.
• Maintain the minimum quantity of the spare parts.

Process / Machine Development

• Create label program file based on the customer’s requirements.
• Enhance processes for Tape and Reel packaging, ensuring alignment with product specifications and quality standards.
• Create and maintain process documentation, including work instructions, process flows, and control plans.
• Evaluate new materials and technologies that can enhance process capabilities.
• Performs new product, materials, machine qualification and buy off
• Conduct and arrange training and certification for operators

Quality Assurance:

• Liase with Quality Assurance on the new package requirements.
• Review and update BOM of customer requirements for new product / specifications requirements.
• Send FAI report for new package.
• Support in the investigation of internal/external customer complaints to find the root causes and advise appropriate solution to resolve them.
• Performs product low yield and reject verifications analysis
• Responsibilities for specification update for any new process and product qualified
• Performs new product, materials, machine qualification and buy off.

Job Description:

• Responsible for the upkeeping of facilities and equipment.
• Plan and implement effective preventive maintenance program for facilities and equipment.
• Ensure preventive maintenance stipulated are being conducted promptly.
• Coordinate with contractors in relation to facilities/equipment repair and maintenance, ensure their quality and safety standards meet the requirements.
• Closely monitor all critical repairs to ensure short down time.
• Maintain proper documentation.
• Recommend the replacement and upgrade of facilities and equipment through the annual budgeting process.
• Participate in continuous improvement program to achieve cost reduction.
• Perform any other duties as and when assigned.

Requirements:

• Diploma and above, preferably in facilities management, mechanical or electrical engineering.
• Relevant work experience in facilities.
• Licensed Electrician Worker (LEW) accredited by EMA will be an added advantage.

Responsibilities:

• Perform troubleshooting, assist in investigation and resolving production issues
• Identify and implement continuous process improvement and cost control initiatives
• Trending for process parameters
• Manage capability setup for new equipment and processes
• Carry out tolling review and control and submission of capability declaration
• Handle proper documentation for publication review, worksheet amendments and in-house specifications amendments
• Provide technical support to Operations, ensuring productivity efficiency
• Review, investigate and provide solutions to issues raised by Operation
• Carry out training on repair processes and any other related practices

Requirements:

• Degree or equivalent, preferably with experiences in propulsion engines and components MRO facility
• Ability to interpret engineering drawings
• Prior experience in repair processes will be an added advantage
• Familiar with NDT requirements and FAA 45 /EASA 145 regulations

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 successful candidate will work with Barbaros Oezyilmaz and Dr Toh Chee Tat on for lab support, sample preparation and characterization under a project on Synthesis and application of atomically thin amorphous materials on the surface of 2D semiconductors as a protective and seed layers for other

The main responsibilities of the position include:

1. Synthesis of multilayer MAC films on the surface of 2D crystals, insulators and other substrates. Their analysis by Raman spectroscopy, AFM, Ellipsometry.
2. Test of the application of ML-AC as a seed layer for ALD grown insulators.
3. Perform impedance spectroscopy to probe dielectric properties of dielectrics deposited on the surface of MAC.
4. Data analysis and physical interpretation of the results.
5. Manage lab safety, equipment maintenance and operations.
6. Meet key deliverables for industry collaboration.

Qualifications

Qualifications / Discipline:

Bachelor's or Master's degree in materials science, microelectronics, or a related field.

Skills:

Strong verbal communication skills in English, ability to solve problems and generate new ideas

Experience:

1. One year hands-on experience in lab
2. One year internship/research assistant or any equivalent in lab
3. First-hand experience with operation and maintenance of CVD reactors and vacuum systems
4. Experience with electronics and the use of clean room is desirable

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

Job Description:

Candidate will be part of Far-Backend Of Line (Far-BEOL) team of process module engineers, advancing specialty technologies at IME. His or her main roles and responsibilities include:

• Develop and support Chemical Mechanical Planarization (CMP) unit process capabilities for silicon photonics, flat optics, advanced packaging, MEMS, and wide bandgap semiconductor applications.
• Deliver innovations involving process methodologies, materials, or approach, and generate intellectual property related to various aspects of CMP.
• Participate as team member with process integration teams to actively support CMP process development, optimization and troubleshooting for various industry and grant projects.
• File patents/know-hows on new development activities.
• Publish research findings in prestigious journals and conferences.

Job Requirement:

• Masters with specialization in Electronics / Microelectronics / Materials Engineering / Chemical Engineering / Materials Science/ Chemistry / Physics or equivalent.
• Minimum 5 years of experience in CMP technologies, preferably in an industrial setting.
• Prior hands-on experience working on industry-scale 200 mm or 300 mm CMP equipment platforms (e.g., AMAT or Ebara platforms), with in-depth technical knowledge in process development, materials, and inline process control related to CMP.
• Knowledge of silicon photonics, advanced packaging, MEMS, or wide bandgap semiconductor technology platforms would be a plus, but not mandatory.
• Strong experimental design (DOE) and data analysis skills is preferred.
• Good interpersonal and strong demonstrated skills in collaborating with internal and external stakeholders.
• At least 2 years of demonstrated experience in managing projects of moderate complexity is preferred
• Good analytical skills and oral/written communication skills, with ability to deliver clear and concise messages to both internal and external stakeholders.
• Self-driven with strong interest in next-generation applications of CMP technologies and industry trends.

Job Description:

Candidate will be part of Far-Backend Of Line (Far-BEOL) team of process module engineers, advancing specialty technologies at IME. His or her main roles and responsibilities include:

• Develop and support Chemical Mechanical Planarization (CMP) unit process capabilities for silicon photonics, flat optics, advanced packaging, MEMS, and wide bandgap semiconductor applications.
• Deliver innovations involving process methodologies, materials, or approach, and generate intellectual property related to various aspects of CMP.
• Participate as team member with process integration teams to actively support CMP process development, optimization and troubleshooting for various industry and grant projects.
• File patents/know-hows on new development activities.
• Publish research findings in prestigious journals and conferences.

Job Requirement:

• Masters with specialization in Electronics / Microelectronics / Materials Engineering / Chemical Engineering / Materials Science/ Chemistry / Physics or equivalent.
• Minimum 5 years of experience in CMP technologies, preferably in an industrial setting.
• Prior hands-on experience working on industry-scale 200 mm or 300 mm CMP equipment platforms (e.g., AMAT or Ebara platforms), with in-depth technical knowledge in process development, materials, and inline process control related to CMP.
• Knowledge of silicon photonics, advanced packaging, MEMS, or wide bandgap semiconductor technology platforms would be a plus, but not mandatory.
• Strong experimental design (DOE) and data analysis skills is preferred.
• Good interpersonal and strong demonstrated skills in collaborating with internal and external stakeholders.
• At least 2 years of demonstrated experience in managing projects of moderate complexity is preferred
• Good analytical skills and oral/written communication skills, with ability to deliver clear and concise messages to both internal and external stakeholders.
• Self-driven with strong interest in next-generation applications of CMP technologies and industry trends.