verview and purpose of the position

KidSTART@NUH is a government-led initiative which seeks to provide support services to vulnerable pregnant mothers. This program has been highly successful in helping underprivileged pregnant mothers deliver a healthy baby and to ensure that the newborn gets the best start in life. Through home visits, the program actively engages families, social/community partners and government agencies to provide systematic, integrated and holistic support. The program aims to engage families from the early pregnancy period to maximize the health of both mother and baby, to support breastfeeding and to foster mother-child bonding so as to enhance child development and potential during the first 3 years of life.

The Patient Service Associate role is to provide support in outreach efforts to engage and to recruit new families to join the KidSTART@NUH Merged Home Visitation Programme. Patient Service Associate is part of a care team that will provide identification of needs, anticipatory guidance, screenings and service coordination for clients assigned under their care. Details stated in Job Responsibilities.

Duties and Responsibilities

• Support in outreach efforts to reach out and recruit new families to join the KidSTART@NUH Merged Home Visitation Programme.
• Administrative and Systems Support. Support team with outreach and engagement efforts as required by programme.
• Support intake and enquiries of referrals.
• Employs effective communication and rapport building skills when interacting with antenatal patients, clients, families, and staff.
• Collaborates with interdepartmental and external colleagues with the aim of providing holistic care and optimise health outcomes for antenatal clients recruited under the Home Visit Programme.
• Assist in appointment scheduling and rescheduling and addresses client enquiries. (e.g. teaches the use of the Health Buddy for assessing their records and services (e.g. changing appointments).
• Provide frontline services and general administrative duties at the clinic pertaining to KidSTART programme.
• Support in other administrative and operation needs in patients support.
• Identifying needs and screening. Effectively manage patient caseloads at clinic touchpoints.
• Identify, assess, and respond on the eligibility outcomes of families efficiently and effectively.
• Maintains documentation and complete reporting requirements according to organisation standards.
• Attend to KidSTART patients at counters for registration and payment.
• Attend to KidSTART patients billing and charges if they required financial support.
• Attend to data requests pertaining to KidSTART patients’ information.
• Participate and be involved in the regular reviews of existing programmes and processes with the team.

Secondary Responsibilities and Duties

• Performs other job-related duties as assigned by assigned by supervisor.

Requirements

• Diploma with 2 – 4 years’ relevant experience, or GCE N/O/A Level, or NITEC in Healthcare/Equivalent with 6 – 10 years’ relevant experience
• Working experience in service or healthcare industry will be advantageous.
• Proficiency in MS Office and SAP preferred.
• Proficient in computer skills.
• Team player with good interpersonal and communication skills.
• Pleasant and friendly disposition.
• Possess service-oriented mindset and proactive in engaging with people.
• Able to multi-task and work in a fast-paced environment.
• Ability to maintain calendars and schedule appointments
• Ability to understand and follow specific instructions and procedures

Closing & Applications

When you join NUH, you become part of a dynamic and collaborative environment where expertise, knowledge, and compassion all come together.

Working in healthcare offers satisfaction that extend far beyond the ordinary. The smiles of gratitude from patients and the profound sense of fulfilment that comes from helping others cannot be measured. It is a career that allows for both personal and professional growth. The challenges you encounter in this rapidly evolving industry push you to constantly expand your knowledge and skills, as well as encourage lifelong learning.

Be a part of a team that gets to create a transformative healthcare experience for our patients and professionals alike.

As part of IME’s Photonics & Sensors Department, the candidate will take lead of the development of various testing capability for advanced photonics, including but not limited to chip-level and wafer-level testing of optical devices and electro-optical devices at high RF frequencies, as well as the testing of electro-optical sub-modules and sub-systems. You will work closely with an excellent multidisciplinary team working on advanced photonics.

Responsibilities:

• Develop various photonics testing capabilities for both chips and wafers, including design and building of measurement setups
• Perform chip-scale and wafer-scale data collection for OE, EO and OO devices from frequency range of 0 to 110 GHz
• Optimize data acquisition and analysis process to improve test efficiency, e.g. automation of measurement processes for wafer-scale testing and corner analysis
• Manage photonics laboratory including facilities, health and safety, equipment calibration, inventory and stocktake
• Take the lead to procure laboratory equipment and consumables
• Prepare technical presentations and papers for internal meetings, as well as conferences and journals
• Collaborate with project team to ensure quality and on-time delivery for various projects
• Performs other duties as assigned.

Qualifications:

• Bachelor’s or master’s degree in Physics, Electronic/Electrical Engineering, Photonics, Opto-electronics or equivalent
• More than 3 years hands-on experience in active photonics/optoelectronic device testing, especially for high-speed optical modulator and photodetector devices and electronic-photonic integrated circuit.
• More than 3 years hands-on experiences in optical setup construction and semiconductor & optoelectronic device characterization
• Experienced on experimental data acquisition and analysis
• Skillsets in programming or instrument automation is a plus
• Strong skills in problem-solving, communication and providing technical presentations
• Industry experience and awareness is a plus

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

Responsibilities

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

Qualifications:

• Bachelors / Masters' degree in Electrical Engineering, Materials Science, Mechanical Engineering, Chemical Engineering, Chemistry, Physics or equivalent
• At least 5 years of relevant experience preferred. Candidates with relevant study/project experience (Electronics, Microelectronics, Computer Engineering, etc) can be considered.
• Strong communication, industry awareness, and problem-solving skills.
• Highly motivated to succeed, a self-starter who is driven and able to work with others effectively to "get things done".
• Industry experience is a plus

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

As part of IME’s Photonics & Sensors Department, the candidate will take lead of the development of various testing capability for advanced photonics, including but not limited to chip-level and wafer-level testing of optical devices and electro-optical devices at high RF frequencies, as well as the testing of electro-optical sub-modules and sub-systems. You will work closely with an excellent multidisciplinary team working on advanced photonics.

Responsibilities:

• Develop various photonics testing capabilities for both chips and wafers, including design and building of measurement setups
• Perform chip-scale and wafer-scale data collection for OE, EO and OO devices from frequency range of 0 to 110 GHz
• Optimize data acquisition and analysis process to improve test efficiency, e.g. automation of measurement processes for wafer-scale testing and corner analysis
• Manage photonics laboratory including facilities, health and safety, equipment calibration, inventory and stocktake
• Take the lead to procure laboratory equipment and consumables
• Prepare technical presentations and papers for internal meetings, as well as conferences and journals
• Collaborate with project team to ensure quality and on-time delivery for various projects
• Performs other duties as assigned.

Qualifications:

• Bachelor’s or master’s degree in Physics, Electronic/Electrical Engineering, Photonics, Opto-electronics or equivalent
• More than 5 years hands-on experience in active photonics/optoelectronic device testing, especially for high-speed optical modulator and photodetector devices and electronic-photonic integrated circuit.
• More than 5 years hands-on experiences in optical setup construction and semiconductor & optoelectronic device characterization
• Experienced on experimental data acquisition and analysis
• Skillsets in programming or instrument automation is a plus
• Strong skills in problem-solving, communication and providing technical presentations
• Industry experience and awareness is a plus

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

As the Research Engineer (Equipment/Operations), you are directly involved in tool installation activities for semiconductor process tools. You would need to work proactively to coordinate with the contractor on the ground for the execution and take corrective and preventive actions of lessons learned, due diligently to prevent reoccurrence. You are responsible for performing utilities turn-on after installation is completed. You must perform the activities per ASTAR site procedure and safety policies to ensure all tool-install-related activities are completed, meeting safety, quality, schedule and budget requirements. You will also be required to perform other activities such as operations for the different semiconductor modules (Diffusion, Litho, Dry/Wet Etch, Thin Film, Implant, etc).

Responsibilities:

• Coordinate with all tool-install base contractors to execute equipment hookup for new tools, to meet the high-quality standards, dynamic schedule, and forecasted budget.
• Coordinate with the Project owner (NGTC/APM) to facilitate utility release as per the planned schedule and update tool release status timely
• Follow all safety and environmental procedures to ensure compliance with EHS-related regulations, risk assessment, safe work procedures, and permit-to-work system.
• Play an active role in safety, actively participating in safety discussions and safe work practices.
• Establish regular area walks to identify opportunities for improved safety, cleanliness, housekeeping and efficiency
• Establish regular, working interaction with peers as well as vendors in tool installation & facilitation, communicating clearly and respectfully all relevant information.
• Keep the reporting officer informed regarding the progress of assigned work and any abnormalities observed in your area.
• Demonstrate ability to understand drawing and highlighting discrepancies
• Follow area-specific procedures and documentation
• Prioritize work tasks to meet schedule and expectations, minimum guidance
• Perform tool tool-relativities and cleanroom systems troubleshooting during the hookup phase
• To perform equipment trouble-shooting of the equipments in NGTC when the need arises
• To perform utility-on after installation completion and to work closely with LCAM for complete closure
• To perform tests balancing of exhaust for new tools whenever necessary
• To perform measures for tool consumption during the hookup phase and to work closely with LCAM
• Use methods to organize, calculate, and display data accurately for utility and flowrate measurement
• Perform site activities in accordance to the Discipline

Requirements:

• Degree/Diploma holders with at least 5 or more years of experience in Mechanical/Electrical/Chemical engineering or equivalent with at least 5 years of relevant experience
• Semiconductor experience (Equipment & Process)
• Facilities field or Wafer Fab Manufacturing equipment background will be an advantage.
• AutoCAD

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.

Responsibilities

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

Qualifications:

• Bachelors / Masters' degree in Electrical Engineering, Materials Science, Mechanical Engineering, Chemical Engineering, Chemistry, Physics or equivalent.
• At least 5 years of relevant experience. Applicants with relevant study (Electronics, Microelectronics, Computer Engineering, etc) can be considered.
• Strong communication, industry awareness, and problem-solving skills.
• Highly motivated to succeed, a self-starter who is driven and able to work with others effectively to "get things done".
• Industry experience is a plus.

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

Job Responsibilities:

• Assist PI with trouble shooting scientific issues, develop and improve operational processes
• Perform literature search and design study related documents
• Support data cleaning and analysis activities
• Prepare scientific reports and presentations

Job Requirements:

• Ph.D. degree in Biomedical Sciences or a closely related field.
• Highly self-motivated with excellent communication and writing skills.
• Strong desire to learn in a dynamicmulti-disciplinary research environment.
• Previous experience in clinical research and management experience are ideal (0-2 years’ experience)

1. Job Purpose

Reports to BME Engineers in the commissioning of medical equipment, breakdown services, planned preventive maintenance, decommissioning, and disposal of hospital medical equipment.

2. Duties and Responsibilities

1. Primary Responsibilities and Duties (80%)
   
2. Provide technical support to all hospital personnel in the commissioning, operation, maintenance and de-commissioning of medical equipment.
   
3. Supervise the specialist vendors and appointed contractors on medical equipment maintenance works to ensure quality of works and compliance to required standards.
   
4. Update and collect feedback from users regularly on the maintenance, performance, reliability and quality of medical equipment.
   
5. Check, analyse and investigate faults / complaints / hazards on medical equipment and assist BME engineers in mapping out and implementation of required action plans.
   
6. Ensure quality of works conform to standards and practices that the hospital subscribes to, including other quality initiatives driven by hospital and department.
   
7. Manage stock and spares for front line technical support and assist stock supervisor in documentations.
   
8. Secondary Responsibilities and Duties (20%)
   
9. Assist BME Engineer in coordinating services for medical equipment projects with vendors, contractors and appointed project consultants.
   
10. Perform any other duties as assigned by BME engineers.

3. Job Specification/Requirements

3.1 Qualification: Diploma preferably in Electronics / Biomedical Engineering OR Vocational Training Certificate in Electronics / Electromechanical / Mechatronics Engineering with practical experience of at least 5 years.

3.2 Skills:

3.2.1 Good communication and supervisory skills

3.2.2 Customer service oriented

3.2.3 Positive work attitude and ability to work with all levels of staff

3.2.4 Basic IT skills

The Genome Institute of Singapore (GIS) is Singapore's flagship institute for the genomic sciences. The Agency for Science, Technology and Research (A*STAR) is the parent funding body for the GIS and has a long-term commitment to advance science and develop innovative technology to further economic growth and improve lives. As one of the world's premier genomic centres, the GIS integrates genetics, genomics, high-throughput biology, and data science to gain fundamental, translational and clinical insights into human disease and health (https://www.a-star.edu.sg/gis/).

The GIS invites applications for outstanding Principal Investigators to develop their independent research programmes in the following domains:

• Build technologies to engineer DNA or RNA (including molecular biology, viral/non-viral delivery, modified DNA/RNA, machine learning, CRISPR-Cas, DNAzymes/ribozymes, and other editing systems). Candidates with established track record in molecular engineering, nucleic acid therapeutics, translation into clinical trials, and/or biotech companies are highly desirable.
• Build technologies in RNA therapeutics (including either using RNA as medicine or targeting RNA in diseases). Candidates with an established track record in targeting RNA or engineering RNA for protein production, decay, localization in health and disease systems are highly desirable.

Qualified candidates should have an MD, PhD or equivalent degree in the biological, genomic or computational sciences, and a demonstrated ability to conduct cutting-edge team-based research with a strong record of peer-reviewed publications, intellectual property creation, and external funding. You must be comfortable working in a dynamic research organisation and be able to balance multiple responsibilities. Strong communication skills and a willingness to work collaboratively in a multidisciplinary environment are critical for success. The successful candidate will drive an expansion into the indicated research areas and complement and synergise with ongoing research programmes at the GIS.The Genome Institute of Singapore (GIS) is Singapore's flagship institute for the genomic sciences. The Agency for Science, Technology and Research (A*STAR) is the parent funding body for the GIS and has a long-term commitment to advance science and develop innovative technology to further economic growth and improve lives. As one of the world's premier genomic centres, the GIS integrates genetics, genomics, high-throughput biology, and data science to gain fundamental, translational and clinical insights into human disease and health (https://www.a-star.edu.sg/gis/).

The GIS invites applications for outstanding Principal Investigators to develop their independent research programmes in the following domains:

• Build technologies to engineer DNA or RNA (including molecular biology, viral/non-viral delivery, modified DNA/RNA, machine learning, CRISPR-Cas, DNAzymes/ribozymes, and other editing systems). Candidates with established track record in molecular engineering, nucleic acid therapeutics, translation into clinical trials, and/or biotech companies are highly desirable.
• Build technologies in RNA therapeutics (including either using RNA as medicine or targeting RNA in diseases). Candidates with an established track record in targeting RNA or engineering RNA for protein production, decay, localization in health and disease systems are highly desirable.

Qualified candidates should have an MD, PhD or equivalent degree in the biological, genomic or computational sciences, and a demonstrated ability to conduct cutting-edge team-based research with a strong record of peer-reviewed publications, intellectual property creation, and external funding. You must be comfortable working in a dynamic research organisation and be able to balance multiple responsibilities. Strong communication skills and a willingness to work collaboratively in a multidisciplinary environment are critical for success. The successful candidate will drive an expansion into the indicated research areas and complement and synergise with ongoing research programmes at the GIS.

Responsibilities

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

Qualifications:

• Bachelors / Masters' degree in Electrical Engineering, Materials Science, Mechanical Engineering, Chemical Engineering, Chemistry, Physics or equivalent.
• At least 5 years of relevant experience. Applicants with relevant study (Electronics, Microelectronics, Computer Engineering, etc) can be considered.
• Strong communication, industry awareness, and problem-solving skills.
• Highly motivated to succeed, a self-starter who is driven and able to work with others effectively to "get things done".
• Industry experience is a plus.

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

Be part of an exciting team working on cutting-edge advanced packaging process technologies. Participate in process development and integration solution to enable advanced packaging process technologies in the world of mobile, IoT, consumer and high-performance computing area. Partner and work with various teams from inside and outside of IME to help develop leading-edge packaging solutions for our customers, taking the solutions from concept to mass production. Responsibilities will include assisting in operations support in clean room to make sure projects are completed successfully and delivered on time.

Responsibilities:

· Operate semiconductor equipment to perform processes, measurement, and inspection of wafers. (Include equipment setup, loading and unloading of wafers)

· Monitor basic equipment/process errors and perform recovery.

· Work with internal and external parties to align for tool time, execute process sequence and collect data to feedback to integration owner.

· Logistically transport wafer lots between equipment within cleanroom and between worksites.

· Identify and address potential areas for improvements such as cycle time, utilization, and cost.

· Perform chemical change/ top-up for equipment under supervision.

· Understand and follow all Environmental, Health and Safety (EHS) procedures and requirements.

· The candidate may be required to perform shift work (Mon-Fri).

Job Requirement:

· Nitec or Diploma in Electrical/Mechanical/Chemical Engineering

· Basic understanding on semiconductor process is preferred

· 1-3 years of experience in semiconductor processes (Litho, Etch, CVD, PVD, Plating, Metrology etc.) will be added advantages

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.

As the Research Engineer (Equipment/Operations), you are directly involved in tool installation activities for semiconductor process tools. You would need to work proactively to coordinate with the contractor on the ground for the execution and take corrective and preventive actions of lessons learned, due diligently to prevent reoccurrence. You are responsible for performing utilities turn-on after installation is completed. You must perform the activities per ASTAR site procedure and safety policies to ensure all tool-install-related activities are completed, meeting safety, quality, schedule and budget requirements. You will also be required to perform other activities such as operations for the different semiconductor modules (Diffusion, Litho, Dry/Wet Etch, Thin Film, Implant, etc).

Responsibilities:

• Coordinate with all tool-install base contractors to execute equipment hookup for new tools, to meet the high-quality standards, dynamic schedule, and forecasted budget.
• Coordinate with the Project owner (NGTC/APM) to facilitate utility release as per the planned schedule and update tool release status timely
• Follow all safety and environmental procedures to ensure compliance with EHS-related regulations, risk assessment, safe work procedures, and permit-to-work system.
• Play an active role in safety, actively participating in safety discussions and safe work practices.
• Establish regular area walks to identify opportunities for improved safety, cleanliness, housekeeping and efficiency
• Establish regular, working interaction with peers as well as vendors in tool installation & facilitation, communicating clearly and respectfully all relevant information.
• Keep the reporting officer informed regarding the progress of assigned work and any abnormalities observed in your area.
• Demonstrate ability to understand drawing and highlighting discrepancies
• Follow area-specific procedures and documentation
• Prioritize work tasks to meet schedule and expectations, minimum guidance
• Perform tool tool-relativities and cleanroom systems troubleshooting during the hookup phase
• To perform equipment trouble-shooting of the equipments in NGTC when the need arises
• To perform utility-on after installation completion and to work closely with LCAM for complete closure
• To perform tests balancing of exhaust for new tools whenever necessary
• To perform measures for tool consumption during the hookup phase and to work closely with LCAM
• Use methods to organize, calculate, and display data accurately for utility and flowrate measurement
• Perform site activities in accordance to the Discipline

Requirements:

• Degree/Diploma holders with at least 5 or more years of experience in Mechanical/Electrical/Chemical engineering or equivalent with at least 5 years of relevant experience
• Semiconductor experience (Equipment & Process)
• Facilities field or Wafer Fab Manufacturing equipment background will be an advantage.
• AutoCAD

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.

Be part of an exciting team working on cutting-edge advanced packaging process technologies. Participate in process development and integration solution to enable advanced packaging process technologies in the world of mobile, IoT, consumer and high-performance computing area. Partner and work with various teams from inside and outside of IME to help develop leading-edge packaging solutions for our customers, taking the solutions from concept to mass production. Responsibilities will include assisting in operations support in clean room to make sure projects are completed successfully and delivered on time.

Responsibilities:

· Operate semiconductor equipment to perform processes, measurement, and inspection of wafers. (Include equipment setup, loading and unloading of wafers)

· Monitor basic equipment/process errors and perform recovery.

· Work with internal and external parties to align for tool time, execute process sequence and collect data to feedback to integration owner.

· Logistically transport wafer lots between equipment within cleanroom and between worksites.

· Identify and address potential areas for improvements such as cycle time, utilization, and cost.

· Perform chemical change/ top-up for equipment under supervision.

· Understand and follow all Environmental, Health and Safety (EHS) procedures and requirements.

· The candidate may be required to perform shift work (Mon-Fri).

Job Requirement:

· Diploma in Electrical/Mechanical/Chemical Engineering

· Basic understanding on semiconductor process is preferred

· 3 years of experience in semiconductor processes (Litho, Etch, CVD, PVD, Plating, Metrology etc.) will be added advantages

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:

• 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:

• 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.

CNRS@CREATE is looking for a Postdoctoral Research Fellow in Urban Studies to join our SPACE project team.

SPACE PROJECT

The SPACE project is developing a research protocol for infectious disease prediction and prevention in Singapore. The project draws upon analyses of the risk factors and sociospatial patterns that drive dengue and COVID-19 transmission in Singapore, as well as the social and technical skills developed by individuals and community groups in response to disease propagation. Combining insight from the social sciences (geography, architecture and urban design, communication, economics, sociology, public policy) with biology (epidemiology, entomology) and computer science (artificial intelligence, biostatistics), the project will use the concept of “adaptive capacity” (AC) to explore the potential of community-based “latent social capital” (i.e. human, cultural, political, and social) as key assets for adaptive responses to health challenges related to dengue in its interplay with COVID-19.

The project brings together 23 researchers, 10 from France and 13 from five Singaporean universities (NTU, NUS, SUTD, SMU and SUSS). The research will be conducted in Singapore.

DESCRIPTION

Cities are at the forefront of adaptation and mitigation strategies in a wide range of global issues. Over the past decades, climate change and public health more particularly have been increasingly connected as changing environmental conditions pose significant threats to health and health care systems. The propagation of vector-borne infectious diseases, such as dengue, malaria and Zika, and new, emerging diseases, such as Covid-19, have prompted cities to increase their adaptive capacities in terms of prediction, prevention, and preparedness to current and future pandemics.

Building political agency across scales of government, in various national and transnational arenas and through various means (city-to-city cooperation, city networking, city diplomacy) has been a key challenge for cities. Building and sharing real-time data and coordinating public health responses across borders have been facilitated by the use of digital technologies through various types of devices (contact tracing applications, global mobility trackers, temperature screening kiosks and stations, environmental and population surveillance drones, digital platforms and web-based mapping of hotspot areas). Predictive Artificial Intelligence (AI) fed by growing streams of data from various sources along with increased capacity of Machine Learning have allowed improving model robustness. Finally, biotechnologies are also leveraged for improving diagnostics, vaccines and new vector control strategies. This takes place in a context whereby international policy transfer or policy mobility at large are being accelerated worldwide by digital and social media.

Against this backdrop, this postdoctoral research position aims at exploring the ways in which cities in South-East Asia are responding to the emergence and propagation of infectious diseases, both endemic, vector-borne diseases, such as dengue, and new, emerging infectious diseases, such as Covid-19. More particularly, it aims at analyzing the different ways in which knowledge about diseases and public health responses are built, circulated and shared across borders. Emphasis will be put on the use of “smart technologies” (digital technologies based on Big Data, Mobile Internet and AI) for the prevention and management of diseases. Case studies should include Singapore as a main case and a selection of other relevant cities in South-East Asia sharing similar health and environmental conditions. Specific digital technologies and tools may be selected to narrow down the international comparison.

The project’s research methodology may include discourses and/or content analysis of global and national narratives on changing urban environmental and health policies, literature reviews, which may include a scoping review, designing and conducting qualitative interviews with public and private stakeholders in Singapore.

EXPERIENCE & QUALIFICATIONS

• A doctoral degree in the appropriate field or discipline, such as urban studies, urban geography, urban planning, sociology, political science, public policy, environmental policy, public health, communication studies and cultural studies.
• The candidate should have demonstrated expertise in methods of qualitative research including interviews, ethnography, focus group discussions, data collection, and analysis.
• Proficiency in English
• Proficiency in one other Singapore’s official languages would be an asset.

This postdoctoral scholar will benefit from close collaboration with other team members from the SPACE project.

FURTHER INFORMATION & CONTACT

Salary range: 6100 to 7200 SGD (depending on suitability and experience).

Duration: 12 months.

Workplace Address: CREATE Tower (NUS Campus), 1 Create Way #08-01 Singapore 138602

Please send a short cover letter describing your suitability for the position, detailed CV with publication list, a concise description of research interests and future plans, and academic transcripts to: [email protected].

We will begin reviewing applications for the positions immediately. Expected start date of the contract is April 2024.

Job Description:

The candidate needs to research and develop cutting-edge multimodal (speech-text) foundation model, define, develop novel deep learning techniques to achieve and advance SOTA accuracy with real-time performance. The candidate will have to collaborate with other research scientists and engineers to apply the foundation model for identified use cases. Strong problem solving, coding, effective communication, and collaborative teamwork is required.

Job Requirement:

· PhD in ML, NLP, speech and spoken language processing and multi-modal AI

· At least 5 years of experience

· Proficient programming skills, familiarity with Linux is a must

· Familiar with different deep learning and LLM training frameworks

· Strong analytical and critical thinking skills, good team player with good communication and interpersonal skills

· Ability to replicate and reproduce state-of-the-art models and results, and then innovate on top of these benchmarks

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

Job Description:

The candidate needs to research and develop cutting-edge multimodal (speech-text) foundation model, define, develop novel deep learning techniques to achieve and advance SOTA accuracy with real-time performance. The candidate will have to collaborate with other research scientists and engineers to apply the foundation model for identified use cases. Strong problem solving, coding, effective communication, and collaborative teamwork is required.

Job Requirement:

· PhD in ML, NLP, speech and spoken language processing and multi-modal AI

· Proficient programming skills, familiarity with Linux is a must

· Familiar with different deep learning and LLM training frameworks

· Strong analytical and critical thinking skills, good team player with good communication and interpersonal skills

· Ability to replicate and reproduce state-of-the-art models and results, and then innovate on top of these benchmarks

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

Job Description:

The candidate needs to develop efficient algorithms for data collection, data cleaning and transforming raw data into usable format for model training. The candidate is expected to be meticulous, have a good sense of data quality and governance, proficient in scripting and keep good documentation. The candidate is expected to collaborate with scientists and engineers and have good team spirit. Strong problem solving, coding, and communications skills are expected.

Job Requirement:

· BSc/MSc in ML, NLP, background in speech, national language understanding

· Proficient programming skills, familiarity with Linux

· Strong analytical and critical thinking skills, good team player with good communication and 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.

Job Description:

The candidate will train large language models with multimodal inputs (e.g. human generated text, programming languages, images). The candidate will investigate techniques to make language models amenable to logical reasoning and arithmetic reasoning. The candidate will need to scope out possible data collection, curation, and cleaning strategies and publish at high-impact venues in machine learning, NLP, and AI.

Job Requirement:

• PhD in computer science with specialization in NLP, machine learning, deep learning, multimodal processing, or related fields.
• At least 5 years of experience
• Proficient programming skills (C++ experience preferred), familiarity with Linux, adept with processing and training large language models
• Publications at top AI/NLP/ML venues are a must
• Strong analytical and critical thinking skills, team player with good communication and interpersonal skills
• Experience in large-scale data processing (e.g. at least 40GB of text) is highly desirable

Job Description:

The candidate needs to implement deep learning algorithms and propose novel solutions that optimize the computational efficiency for training and inference of foundation model. The candidate is expected to work as a team in problem analysis, design solutioning, conduct evaluation to build state-of-the-art foundational models and develop use cases. Strong problem solving, coding, and communications skills are expected.

Job Requirement:

· BSc/MSc in ML, NLP, background in speech, natural language understanding, multi-modal AI

· Proficient programming skills, familiarity with Linux is a must

· Familiar with different deep learning and LLM training frameworks

· Strong analytical and critical thinking skills, good team player with good communication and interpersonal skills

· Knowledge in ML and Deep learning algorithms, and advanced NLP techniques are necessary

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.

As the Cybersecurity Director, you will be the leader overseeing Temus’ cybersecurity landscape.

This role entails shaping and executing comprehensive cybersecurity strategies, ensuring information security governance, compliance, and operations, as well as leading transformative projects, and maintaining industry certifications.

You will be at the forefront of cybersecurity operations, risk management, and training initiatives, contributing significantly to our organization's resilience against evolving cyber threats.

Reporting directly to the Chief Financial Officer, you will play a key role in aligning cybersecurity efforts with broader IT strategies, fostering a culture of security awareness, and driving continuous improvement in our cybersecurity posture.

In addition to internal responsibilities, you will also engage in client-facing initiatives, serving as a trusted advisor on cybersecurity matters. Your client-facing duties will include collaborating with external partners, providing guidance on security best practices, and addressing client concerns related to cybersecurity. By cultivating strong relationships with clients, you will demonstrate our commitment to cybersecurity excellence and contribute to the enhancement of our clients' security postures.

If you are a seasoned cybersecurity professional with a strategic mindset and a proven track record, we invite you to lead our cybersecurity initiatives and make a lasting impact on Temus’ digital resilience.

Key Internal Accountabilities

Information and Cyber Security Strategy and Transformation:

• Develop and implement a comprehensive information and cybersecurity strategy aligned with organizational goals.
• Lead the transformation of security capabilities to address emerging threats and technologies.

Information Security Governance:

• Oversee information security policies, standards, and procedures to ensure the confidentiality, integrity, and availability of information assets.
• Provide guidance on information security matters to ensure compliance with relevant regulations and standards.

Internal Project Management:

• Direct and manage internal security projects, ensuring timely delivery and alignment with strategic objectives.
• Collaborate with cross-functional teams to integrate cybersecurity considerations into projects.

Certifications Maintenance:

• Manage and maintain ISO27001 and Data Protection Trust Mark (DPTM) certifications, ensuring ongoing compliance with standards and regulations.
• Run internal audits to comply with ISO27001 and DPTM requirements.
• Lead efforts for certification renewals and audits.

Training and Awareness:

• Develop and deliver information and cyber security training programs to enhance employee awareness and compliance.
• Foster a culture of security throughout the organization.

Security Operations Management:

• Collaborate with IT operations team to ensure day-to-day security operations, incident response, and threat intelligence activities.
• Implement and manage security technologies to detect, prevent, and respond to security incidents.

Risk Management:

• Conduct regular risk assessments and ensure the development and implementation of risk mitigation strategies.
• Collaborate with business units to address security risks related to projects and operations.

Reporting and Communication:

• Provide regular reports on the status of information and cyber security initiatives to executive leadership.
• Communicate effectively with stakeholders regarding information and cyber security risks, incidents, and strategies.

Client, Partner, Vendor, and Third-Party Security:

• Evaluate and manage cybersecurity risks associated with vendors and third-party partnerships.
• Ensure compliance with security standards for external collaborations.

Key External Accountabilities

• Client Collaboration: Engage with clients to understand their cybersecurity needs, align with their compliance objectives, and communicate the importance of adhering to industry regulations and standards.
• Regulatory Alignment: Stay current with evolving cybersecurity regulations and standards, ensuring clients' practices meet compliance requirements (e.g.,IM8, DPTM, ISO 27001, NIST).
• Risk Management: Conduct comprehensive risk assessments, identifying vulnerabilities and compliance gaps, and collaborate with clients and partners to develop tailored risk mitigation plans.
• Architecture Review: Collaborate with clients and partners to review architectural designs, ensuring they are aligned with security compliance requirements and best practices. This includes assessing the security of software development, APIs, and CI/CD pipelines.
• Security Testing Management: Oversee and manage the Vulnerability Assessment and Penetration Testing (VAPT) and Source Code Review (SCR) process, coordinating assessments, analyzing results, and working with clients and partners to implement effective remediation strategies.
• Exception Review: Evaluate security exceptions and assess their potential risks, proposing appropriate mitigation strategies to clients while ensuring compliance.
• Compliance Audits: Lead compliance assessments for clients, ensuring alignment with industry standards and regulations, and fostering transparent communication throughout the process.
• Documentation and Reporting: Maintain accurate records of compliance activities, audit results, and remediation efforts, providing clients with comprehensive reports.
• Cross-Functional Collaboration: Collaborate with internal teams, including IT, Technology, Data, Value Assurance, and senior management, to ensure a cohesive approach to client cybersecurity compliance.

Qualifications

• Industry-recognized cybersecurity certifications such as CISSP, CISM, or CISA.
• Demonstrated experience (more than 10 years) in information and security compliance management, with proficiency in platforms such as Azure, AWS, and GCP.
• In-depth knowledge of information and cyber security frameworks, standards, and regulations (e.g., ISO27001, DPTM, NIST, IM8).
• Experience with ISO27001 and Data Protection Trust Mark (DPTM) certifications and audits.
• Demonstrated success in managing security operations and driving strategic information and cyber security initiatives.
• Proven leadership skills and ability to manage projects efficiently.
• Strong understanding of risk assessment methodologies, compliance auditing, VAPT procedures, and architectural design reviews.
• Experience in reviewing architecture designs for security compliance.
• Strong communication and interpersonal skills to establish rapport with clients and internal stakeholders.
• Proficiency in reviewing security exceptions and recommending effective solutions.
• Analytical mindset with meticulous attention to detail to identify compliance gaps and risks.
• Flexibility to adapt to evolving compliance regulations and technological advancements.

Temus is an equal opportunities employer. We welcome applications from all. We do not discriminate by race, religion, belief, ethnicity, origin, disability, age, partnership status, sexual orientation, or gender identity.

We see the diversity of our team as a strategic advantage, and we work actively to maintain it.

By applying for this role, you have read and acknowledge the data privacy statement via this link - temus.com/job-applicant-data-protection/

Job Description:

The candidate needs to implement deep learning algorithms and propose novel solutions that optimize the computational efficiency for training and inference of foundation model. The candidate is expected to work as a team in problem analysis, design solutioning, conduct evaluation to build state-of-the-art foundational models and develop use cases. Strong problem solving, coding, and communications skills are expected.

Job Requirement:

· BSc/MSc in ML, NLP, background in speech, natural language understanding, multi-modal AI with minimum 8 years of relevant experience

· Proficient programming skills, familiarity with Linux is a must

· Familiar with different deep learning and LLM training frameworks

· Strong analytical and critical thinking skills, good team player with good communication and interpersonal skills

· Knowledge in ML and Deep learning algorithms, and advanced NLP techniques are necessary

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

Job Description:

The candidate needs to research and develop cutting-edge multimodal (speech-text) foundation model, define, develop novel deep learning techniques to achieve and advance SOTA accuracy with real-time performance. The candidate will have to collaborate with other research scientists and engineers to apply the foundation model for identified use cases. Strong problem solving, coding, effective communication, and collaborative teamwork is required.

Job Requirement:

· PhD in ML, NLP, speech and spoken language processing and multi-modal AI

· Proficient programming skills, familiarity with Linux is a must

· Familiar with different deep learning and LLM training frameworks

· Strong analytical and critical thinking skills, good team player with good communication and interpersonal skills

· Ability to replicate and reproduce state-of-the-art models and results, and then innovate on top of these benchmarks

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

Job Description:

The candidate needs to research and develop cutting-edge multimodal (speech-text) foundation model, define, develop novel deep learning techniques to achieve and advance SOTA accuracy with real-time performance. The candidate will have to collaborate with other research scientists and engineers to apply the foundation model for identified use cases. Strong problem solving, coding, effective communication, and collaborative teamwork is required.

Job Requirement:

· PhD in ML, NLP, speech and spoken language processing and multi-modal AI

· At least 5 years of experience

· Proficient programming skills, familiarity with Linux is a must

· Familiar with different deep learning and LLM training frameworks

· Strong analytical and critical thinking skills, good team player with good communication and interpersonal skills

· Ability to replicate and reproduce state-of-the-art models and results, and then innovate on top of these benchmarks

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.