We have a few openings for Research Fellow or Research Engineer. The selected applicant is expected to lead and pursue high-quality research in applied artificial intelligence (e.g., physics-informed neural network, transfer learning, and edge intelligence) for battery management systems that lead to publications in top-tier international conferences and journals, as well as real-world implementations. If interested, please send your resume including a cover letter, CV and a brief statement of your work undertaken in previous work.

The Singapore Institute of Technology (SIT) is a public autonomous university and the third largest university by intake in Singapore. SIT’s mission is to innovate with industry, through an integrated applied learning and research approach, so as to contribute to the economy and society. Singapore is the small city with a big dream. We are home to the best talent and have the world’s highest per capita investment in science and technology.

Key Responsibilities:

• Collaborate with partners from both the academia and the industry to lead and/or conduct innovative research on, but not limited to physics-informed neural network, transfer learning, and edge intelligence, battery management, etc.
• Contribute to academic research in the relevant domains and publish high-tier journal papers and conference papers.
• Participate in and manage the research project with Principal Investigator (PI) to ensure all project deliverables are met.
• Coordinate procurement and liaison with vendors/suppliers.
• Participate in computer science related laboratories and tutorials for undergraduate students.
• Interview and supervise student assistants in the project.

Job Requirements:

• (Research Fellow) PhD in Computer Science or a related field
• (Research Engineer) Bachelor/Master degree in Computer Science or a related field
• Proven ability to conduct independent research with a relevant publication record
• Outstanding data analytics, mathematical, and computer modelling skills
• Excellent interpersonal communication and oral presentation skills in English
• Self-driven and strong team spirit
• Open to fixed-term contract (renewable upon review of satisfactory performance)

Job Description:

As a Cloud Site Reliability Engineer (SRE), you will play a key role in ensuring the reliability, scalability, and performance of our cloud-based systems and services. Working closely with cross-functional teams, you will proactively monitor, optimize, and troubleshoot cloud infrastructure, applications, and services to minimize downtime and deliver a seamless user experience. Your expertise in cloud technologies and dedication to automation and best practices will contribute to the stability and growth of our cloud operations.

Key Responsibilities:

· Reliability and Availability: Implement best practices for high availability and disaster recovery across cloud environments.
Monitor system performance, availability, and incident response to ensure minimal downtine.
Create and maintain robust monitoring and alerting systems.

· Automation and Infrastructure as Code (laC):Develop and maintain automation scripts and Infrastructure as Code (laC) templates for provisioning and managing cloud resources.
Automate routine tasks to increase operational efficiency and reduce manual interventions.

· Scalability and Performance Optimization: Collaborate with development teams to design and implement scalable and performant cloud architectures.
Conduct performance analysis and tuning to optimize system response times and resource utilization.

· Incident Response and Troubleshooting: Participate in incident response activities, including root cause analysis, resolution, and post-incident reviews.
Troubleshoot complex issues across the cloud stack and coordinate with relevant teams for resolution.

· Security and Compliance: Implement security best practices and compliance measures in cloud environments.
Collaborate with security teams to ensure data protection and compliance with industry standards.

· Capacity Planning: Monitor resource utilization and forecast capacity requirements to support business growth.
Implement scaling strategies to accommodate changing workloads.

· Documentation and Knowledge Sharing: Maintain comprehensive documentation of cloud configurations, processes, and procedures.
Share knowledge and best practices with team members and contribute to a culture of continuous learning.

Qualifications/Requirements:

· Bachelor's Degree in Computer Science, Information Technology, or a related field.

· Proven experience in cloud operations, SRE, or a related role.

· Proficiency in cloud platforms such as AWS, Azure.

· Certification in cloud platforms (e.g. AWS Certified DevOps Engineer, Azure DevOps Engineer Expert).

· Experience with containerization and orchestration tools (e.g. Docker, Kubernetes).

· Knowledge of infrastructure monitoring and logging tools (e.g. Prometheus, Grafana. ELK stack).

· Strong scripting and programming skills (e.g. Python, Bash, Go).

· Familiarity with CI/CD pipelines and automation tools (e.g. Jenkins, GitLab CI/CD).

· Experience with GCC (Govt on Commercial Cloud).

· Excellent problem-solving and communication skills.

· Ability to work collaboratively in a cross-functional and fast-paced environment.

Job Overview:

We are seeking a skilled Calibration Technician to join our team. The successful candidate will be responsible for maintaining and calibrating automated PLC control panels, skid systems, and various instruments. The Calibration Technician will play a crucial role in ensuring the functionality and accuracy of instrumentation equipment, contributing to the overall efficiency of the organization.

Responsibilities:

1. Calibration and Testing:Conduct calibration, testing, and commissioning of automated PLC control panels and skid systems.
   Perform line checking, loop checking, and input-output checking using Process Meters.
   Repair, test, and troubleshoot faulty instruments, ensuring adherence to scheduled timelines.
   
2. Installation and Commissioning:Install, test, and commission new instrumentation equipment.
   Conduct air tube testing, termination on both field and panel, and ensure compliance with safety standards.
   Inject digital and analog signals (4-20mA, 0-20mA, and digital signals) as part of commissioning procedures.
   
3. Documentation:Prepare comprehensive documentation for all calibration, testing, and commissioning activities.
   Maintain accurate records of work performed, instrument status, and calibration schedules.
   
4. Professional Experience:Minimum of [X] years of experience as a Calibration Technician.
   Familiarity with designing software such as Pro-E, In CAAD centre.
   Completion of safety courses in building construction supervision and oil/petrochemical industry safety for supervisors.
   

Qualifications:

• Diploma in Instrumentation & Control Engineering from a recognized institution or ITE Graduate.
• Relevant certifications in calibration and instrumentation.
• Strong understanding of automated PLC control panels and skid systems.

Skills and Abilities:

• Proficient in using Process Meters and other calibration tools.
• Excellent troubleshooting skills for identifying and resolving instrument faults.
• Detail-oriented with strong organizational and documentation skills.
• Ability to work independently and collaboratively within a team.
• Good communication skills and a commitment to safety protocols.

Job Description:

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

Requirements:

• PhD in Electrical & Electronic Engineering, Materials Science and Engineering, Microelectronics Engineering, or closely related fields are welcome to apply.
• Deep understanding of GaN-HEMT device physics and GaN-based MMICs.
• At least 15-20 years of post-PhD hands-on experience in GaN HEMT and MMIC technology development including design, characterization (e.g. DC, small-signal and load-pull measurement), and modelling; preferably in RF GaN-on-Silicon or GaN-on-SiC technologies.
• At least 8 years of experience in leading a team of research engineers/scientists in managing multiple projects.
• Candidates with industry experience in GaN related R&D would be preferred.
• Working knowledge and hands-on experience in Design of Experiments (DOE) methodologies, statistical root cause analysis, problem-solving methods, and in-line metrology techniques is desired.
• Possess strong leadership, project management, interpersonal and oral/written communication skills.

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

Job Description:

We are actively seeking for a proficient Cloud and DevOps Engineer with expertise in AWS and Azure, coupled with strong skills in Elasticsearch, Prometheus, Grafana, and familiarity with ITIL processes. In this role, you will play a pivotal role in designing, implementing, and maintaining cloud infrastructure, ensuring smooth integration with DevOps practices, monitoring tools, and adherence to ITIL processes.

Responsibilities:

1. Design, implement, and manage cloud-based solutions primarily on AWS and Azure.

2. Work with Kubernetes, Docker, Elasticsearch, Prometheus, and Grafana to orchestrate containers, monitor applications, and visualize performance metrics.

3. Implement and adhere to ITIL processes, ensuring streamlined incident, problem, and change management.

4. Configure and maintain Elasticsearch clusters for efficient search functionality.

5. Set up Prometheus and Elasticsearch for monitoring infrastructure and applications, creating relevant alerts and dashboards

6. Develop and maintain CI/CD pipelines to automate application deployment and infrastructure provisioning.

7. Collaborate with cross-functional teams to understand project requirements and provide optimal cloud and DevOps solutions.

8. Monitor and troubleshoot cloud infrastructure to ensure high availability, reliability, and performance.

9. Implement security best practices and ensure compliance with industry standards in cloud environments.

10. Provide technical support and guidance to development teams on cloud, DevOps, and monitoring-related matters.

Qualifications:

1. Bachelor’s degree in computer science, Information Technology, or related field.

2. Proven experience in cloud operations, with a focus on AWS and Azure.

3. Strong proficiency in scripting languages (e.g., Python, Shell) for automation tasks.

4. Experience in designing and implementing CI/CD pipelines using tools like GitLab CI, or Azure DevOps.

5. Solid understanding of containerization technologies, especially Kubernetes and Docker.

6. Familiarity with infrastructure as code (IaC) tools such as Terraform or AWS CloudFormation.

7. Knowledge of networking concepts, security best practices.

8. Experience with implementing Elasticsearch SaaS, Prometheus and Grafana.

9. Understanding of the ITIL processes for process management with excellent communication skills and the ability to collaborate effectively with diverse teams.

10. Relevant certifications for AWS, Azure, Kubernetes and Terraform are a plus.

Job Description:

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

Requirements:

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

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