• 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.

Locations: Changi

Requirements:

• Registered as a Resident Technical Officer with BCA/IES/ACES.
• At least 6 yrs experience in A&A works (healthcare institutions.)

Responsibilities:

• RTO shall supervise the construction related works and ensure that the works are carried out in accordance with the project specifications.
• RTO shall possess adequate knowledge and experience to carry out supervision and inspection of the construction works including any off-site manufacturing as instructed by client
• RTO shall review all authority drawings for any discrepancies and missing details and to highlight findings to client.
• RTO shall ensure that contractors/ sub-contractors carry out their works in compliance with Codes of Practices, regulations and requirements of building authorities and government agencies.
• RTO shall conduct progressive inspections to ensure that works are carried out complies with quality standards and requirements.
• RTO shall monitor progress of the works on site and report delays to client immediately.

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

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.

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.

Responsibilities:

• Communicate programmes offered to beneficiaries clearly and concisely.
• Provide support for management of databases for programmes;
• Assist in conducting research and environmental scans on social programmes
• Manage and update up to 150 records of students and graduates from the programme
• Track monthly updates and progress of students, including but not limited to conduct, payments, attendances and submission of their result slips
• Process invoices from education institutions, payment vouchers for students under the programme
• Coordinate and ensure living allowances for students are disbursed accurately and on a timely basis
• Assist in reconciliation of the programme’s financial records

Pre-requisite

1. Able to understand and communicate well in both English & Chinese language.
2. Preferable at least 2years experience in Logistics industry which have basic knowledge of how the industry function.
3. Degree and Diploma qualification.
4. Singaporean & Singapore PR will have advantage in pre-selection.

Job description

1. Customer Communication: Act as a point of contact for customers, responding to inquiries, providing quotes, and assisting with any issues or concerns they may have regarding freight services.
2. Sales Coordination: Assist in coordinating sales activities, including scheduling appointments, preparing sales materials, and following up with leads.
3. Documentation and Compliance: Ensure that all necessary documentation for freight shipments is complete and accurate, including customs documentation for international shipments. This may involve coordinating with other departments or external partners to gather required information.
4. Rate Negotiation: Support the sales team in negotiating rates with carriers and other service providers to secure the best pricing for customers while maintaining profitability for the company.
5. Order Processing: Assist in processing freight orders, including entering orders into the system, coordinating with carriers for pickup and delivery, and tracking shipments to ensure they reach their destination on time.
6. Customer Relationship Management (CRM): Maintain customer records and interactions in a CRM system, ensuring that all relevant information is accurately recorded and up-to-date.
7. Market Research: Assist in conducting market research to identify potential customers and market trends, providing valuable insights to the sales team.
8. Problem Resolution: Help resolve any issues that arise during the shipping process, such as delays, damages, or documentation errors, by liaising with carriers, customers, and other stakeholders.
9. Product Knowledge: Develop a deep understanding of the freight forwarding services offered by the company, including knowledge of different modes of transportation, shipping regulations, and industry best practices.
10. Sales Support Materials: Create or update sales support materials such as presentations, case studies, and marketing collateral to assist the sales team in their efforts to acquire new customers and retain existing ones.

Role and Responsibility :-

• To provide quality day-to-day L2 Production support for Java/Web-based application.
• To coordinate and support infrastructure maintenance activities.
• To manage implementations of new application releases, adhering to the best practices of the release management process.
• To work with various partners such as Peer Application Teams, Infrastructure, Vendors, Security and Change teams, to provide seamless support for the business.
• To manage Production issues by responding in a timely manner in accordance to the Service Level Agreement with the Business.
• To enhance existing support process to maintain/improve service level & quality.
• At least 2 years working in an L2 Application Support Environment

Core technical competency required :-

• Linux; Unix Shell Scripting
• SQL (MYSQL/MSSQL)
• Java/Web-based
• OpenShift/Docker

Good to have experiences :-

• AngularJS
• ActiveMQ
• Elastic Search
• Application Monitoring Tools
• CI/CD (Continuous Integration & Continuous Deployment)
• Python
• Microservices concept

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

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.

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

Personnel to be deployed at the following hours:

· Mondays to Fridays: 8.00am to 1:30pm, inclusive of 30-min lunch break

· Service not required on Saturdays, Sundays and gazetted public holidays

The Services required are set out as follows:

• Supporting minor maintenance and decoration of the school
• Providing support to staff on all matters relating to eco-learning and recycle art matters.
• Perform minor repair works
• Operating and maintaining basic office equipment and materials
• Taking on additional or ad-hoc duties assigned by the Authority

Responsibilities

· install and configure computer hardware operating systems and applications

· monitor and maintain computer systems and networks

· Responding in a timely manner to service issues and requests

· Providing technical support across the company (this may be in person or over the phone)

· Setting up accounts for new users

· Repairing and replacing equipment as necessary

· troubleshoot system and network problems, diagnosing and solving hardware or software faults

· provide support, including procedural documentation and relevant reports

· Assist in the administration of a Microsoft Windows environment

Requirements

· Possess Diploma/bachelor’s degree in computer science with relevant working experienced.

· Proficient in Desktop Support working experience

· Strong experience in Microsoft Windows environments

· Some experience in Linux Server supportand network device management

· Knowledge in networking protocol (DNS, DHCP, VLAN & Routing)

· Knowledge in IT security, Windows Active Directory, Linux, virtualisation (Hyper-V) and network devices (Access Point, Switch and Router)

· Fresh graduates welcome to apply

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