Reporting to Director, Corporate Services we are looking for a candidate to support senior management in strategic planning and management in manpower, and Institute resources as well as overseeing the day-to-day running of the division.

You will work closely with the core management team in managing the Institute overall budget and resources, liaising with the stakeholders in staff recruitment and management of manpower budgets. You will be working with the HR partners in ensuring all HR functions are properly administered and ensure timely and accurate reporting to requests from Head Office

A self-starter, problem solver and matured individual who can work independently with minimum or no supervision. Some HR-related experiences will be preferred with strong interpersonal skill to work with all levels of colleagues. Responsible in guiding and providing mentorship to the team towards achieving optimal results.

Requirements:

• Bachelor's degree with 5 years' experiences preferably in HR and resource management
• Resourceful and result oriented
• Strong analytical and organisational skills
• Effective communicator and a people person
• Organised, meticulous and detail-oriented

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.

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

Prof Chng Wee Joo's lab in Cancer Science Institute of Singapore (CSI) is at the forefront of cutting-edge research in haematological malignancies, with a particular focus on multiple myeloma (MM), acute myeloid leukemia (AML), and natural killer/T-cell lymphoma (NKTL).

We are seeking a highly motivated and skilled Research Assistant to join our team and contribute to our translational research program. This program integrates genomics and proteomics technologies to drive clinically relevant discoveries in the diagnosis, prognosis, and treatment of these cancers.

As a Research Assistant, you will play a key role in supporting various research activities, including experimental design, data collection, and analysis, as well as laboratory management. You will collaborate closely with our team of scientists and clinicians to help advance our bench-to-bedside research pipeline, translating laboratory findings into potential therapeutic interventions for haematological malignancies.

Duties and Responsibilities

Conducting Research

• Assist in performing high-throughput genomics and proteomics analyses on human tumor samples and model systems.
• Participate in pre-clinical validation studies of novel therapeutic targets identified from genomic and molecular discoveries.
• Support ongoing research projects focused on molecular subtyping, disease progression, and therapeutic resistance in MM, AML, and NKTL.
• Assist in testing novel compounds targeting oncogenic pathways (e.g., EZH2 inhibitors in AML).

Data Collection and Analysis

• Prepare and process biological samples for genomic and proteomic studies.
• Utilize bioinformatics tools and relational databases for system biology analysis and integration of clinical and molecular data.
• Contribute to data management and statistical analysis of experimental results.

Laboratory Management

• Assist in the maintenance of laboratory equipment and inventory.
• Ensure proper documentation of experimental procedures and findings.
• Maintain high standards of laboratory safety and protocol compliance.

Collaborative Research

• Work closely with senior researchers, clinicians, and other laboratory staff to validate research findings and contribute to ongoing projects.
• Assist in the management of a comprehensive tissue bank and clinical database.
• Present findings in lab meetings and contribute to the preparation of manuscripts for publication.

Qualifications

• Bachelor’s or Master’s degree in Biology, Biochemistry, Biomedical Sciences, or related field.
• Prior experience in molecular biology, genomics, or proteomics techniques is highly desirable.
• Familiarity with haematological malignancies and cancer research is a plus.
• Experience with bioinformatics tools and databases is advantageous.
• Strong organizational skills and attention to detail.
• Excellent written and verbal communication skills.

Preferred Skills and Attributes:

• Passion for cancer research and a strong interest in translational medicine.
• Ability to work collaboratively in a multidisciplinary team.
• Strong problem-solving skills and ability to adapt to new challenges.

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 Summary

Cancer Science Institute of Singapore (CSI) is establishing a new research lab under the leadership of Dr. Zhou Yilong. The lab will focus on RNA biology, cancer, and immunity.

We are seeking a highly motivated, dedicated and detail-oriented Research Assistant to contribute to the lab's cutting-edge research on RNA-protein interactions, biomolecular condensates, and the role of RNA helicases in cancer. In addition to research responsibilities, the Research Assistant will play a crucial role in commissioning the lab, setting up essential equipment, and ensuring operational readiness.

Qualifications

• Bachelor’s or Master’s degree in Molecular Biology, Biochemistry, Cancer Biology, or a related field.
• Prior experience with lab setup, equipment management, or commissioning of research facilities.
• Strong skills in molecular biology techniques (e.g., RNA isolation, PCR, cell culture, CRISPR).
• Knowledge of RNA biology, cancer biology, or immunology is advantageous.
• Familiarity with bioinformatics tools for RNA sequencing analysis is a plus.
• Strong organizational skills and attention to detail.
• Ability to work both independently and as part of a team.

Preferred Experience:

• Experience with RNA helicases, biomolecular condensates, deep-sequencing and proteomic techniques.
• Prior involvement in lab commissioning or management.
• Familiarity with cancer models and translational research in RNA therapeutics in cell and animal level.

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 National University of Singapore invites applications for the position of Research Assistant / Engineer in the Department of Computer Science, School of Computing (SoC). SoC is strongly committed to research excellence in all its dimensions: Searching for fundamental results and insights, developing novel computational solutions to a wide range of applications, building large-scale experimental systems and improving the well-being of society. We seek to play an active role both internationally and locally in the core and emerging areas of Computer Science and Information Systems.

The Research Assistant will be responsible for working closely with the Principal Investigator and lab members on Safeguarding the Web Against Phishing and Prompt Injection Attacks. He/she should possess experience or interest in at least one of the following research areas:

• Algorithms & Theory
• Artificial Intelligence
• Programming Languages & Software Engineering
• Cyber Security

Qualifications

• Bachelors or Masters in Computer Science with a focus in AI/Machine Learning;
• Solid programming and application development skills with experience in PyTorch / TensorFlow or an equivalent deep learning framework.
• Possesses sufficient background in AI/Machine learning to read and understand methodologies in research papers

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 National University of Singapore invites applications for the position of Research Assistant / Engineer in the Department of Computer Science, School of Computing (SoC). SoC is strongly committed to research excellence in all its dimensions: Searching for fundamental results and insights, developing novel computational solutions to a wide range of applications, building large-scale experimental systems and improving the well-being of society. We seek to play an active role both internationally and locally in the core and emerging areas of Computer Science and Information Systems.

The Research Assistant will be responsible for working closely with the Principal Investigator and lab members on Safeguarding the Web Against Phishing and Prompt Injection Attacks. He/she should possess experience or interest in at least one of the following research areas:

• Algorithms & Theory
• Artificial Intelligence
• Programming Languages & Software Engineering
• Cyber Security

Qualifications

• Bachelors or Masters in Computer Science with a focus in AI/Machine Learning;
• Solid programming and application development skills with experience in PyTorch / TensorFlow or an equivalent deep learning framework.
• Possesses sufficient background in AI/Machine learning to read and understand methodologies in research papers

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.

The Role

The Sustainable and Green Finance Institute (SGFIN) is a new university-level research institute in the National University of Singapore (NUS), jointly supported by the Monetary Authority of Singapore (MAS) and NUS. SGFIN aspires to develop deep research capabilities in sustainable and green finance, provide thought leadership in the sustainability space, and shape sustainability outcomes across the financial sector and the economy at large.

This role is ideally suited for those wishing to work in academic or industry research in quantitative analysis, particularly in the area of machine learning and artificial intelligence. The responsibilities of the role will include designing and developing various analytical frameworks to analyze structure, unstructured and non-traditional data related to corporate financial, environmental, and social indicators.

There are no teaching obligations for this position, and the candidate will have the opportunity to develop their research portfolio.

Duties and Responsibilities

The successful candidate will be expected to assume the following responsibilities:

• Design research projects in close collaboration with the Institute’s Directors (Prof. Sumit Agarwal / A.Prof Johan Sulaeman / A.Prof Zhang Weina) and Research Affiliates
• Take ownership and responsibility for the successful delivery of research projects, ensuring they are completed within the required deadline and allocated budget, and meeting/exceeding project specifications and targets
• Participate in pre-project activities such as identifying required resources to ensure project completion including staffing and organizational needs of the project team, and preparing high-level project plans with project timeline and resource requirements
• Development of data analysis frameworks.
• Plan, supervise and perform (if necessary) the development of supervised and unsupervised machine learning tools to process information from various data sources, including commercial databases and alternative, non-traditional datasets.
• Plan, supervise and perform (if necessary) the generation of impact measures using machine learning, in collaboration with the Institute’s Directors and other Research Fellows.
• Monitor progress of research projects and provide necessary interventions to ensure smooth completion of each project
• Manage and coordinate project deliverables, ensuring their quality
• Manage industry partners’ expectation by understanding their needs and providing realistic expectations and scope of each project
• Manage the collaborations with research and industry stakeholders, including providing periodic progress updates and deliverables for grant funding body or project sponsors
• Preparation of results for industry communications, presentations, and academic articles for journal publications
• Guide, mentor, and supervise research associates on the project team
• Work closely with the rest of the SGFIN team to support SGFIN’s activities and objectives

Requirements

• Academic background in the following subjects is preferred: computing, information systems, economics, business, finance, or related disciplines. A bachelor’s degree is required, a master’s degree in one of these subjects is preferred, with a PhD degree required for the Research Fellow position.
• Basic understanding of financial sector (banks and other financial institutions), financial markets, corporate financial statements, and credit risk analysis, is preferred.
• A thorough knowledge of the research field of machine learning and artificial intelligence is highly preferred.
• Programming skills, including knowledge of machine learning and artificial intelligence processes and tools, are highly desired, along with experience in conducting and supporting research and data analysis of research projects.
• Database management experience is desired.
• Proactive in problem solving.
• Good time management and planning skills with a commitment to delivery.
• Strong project management skills, with ability to manage several projects concurrently.
• Strong delivery management experience, with proven track records in managing and steering projects towards smooth execution and on time delivery.
• Adaptive to change with a positive work attitude.
• Enthusiastic team player who is self-driven, committed, and willing to take initiative.
• Strong interpersonal and leadership skills, effective in coordinating stakeholders, fostering teamwork, and leading high performance project team.
• Strong verbal and interpersonal communication skills, along with written communication skills

FOR HR :

Handle full spectrum of HR duties.

• Prepares employees for assignments by establishing and conducting orientation and training programs.

• Ensures planning, monitoring, and appraisal of employee work results by training managers to coach and discipline employees; hearing and resolving employee grievances; counselling employees and supervisors

• Good in Payroll (Using: Time Access) for office and Factory including CPF & Annual income tax submission IR8A

• Coordinates recruitment & selection process, including induction activities.

• Administration of workers movements such as resignations, transfers, promotion, benefits and overseas travel claims

• Handle all work passes related application in WP Online and EP Online

• Handle employees' medical insurance, workmen injury compensation & group hospitalization

• Organize company events, staff communication and HR improvement projects

• Attendance Report, Leave Forms updates, etc

• Prepare monthly reports and HR statistics and Expatriate management

• In charge for receptionist (pick-up call, order stationeries/pantry stuffs)

• Other ad-hoc HR duties as assigned

FOR FINANCE:

- Purchase Invoice accounting, payment to supplier

- Custodian of Cash and Bank Payments and Bank Reconciliation

- Other tasks as assigned.

Requirement:

- Diploma in Accountancy/Business Administration

- Minimum 1 to 2 years accounting experience in financial accounting/HR

- A team player who is self-motivated

Research Assistant/Associate positions are available in the Information Systems Technology and Design (ISTD) Pillar, Singapore University of Technology and Design (SUTD). The candidates will conduct research in acoustic sensing and simultaneous localization and mapping (SLAM).

Interested applicants should send their CVs, transcripts, and representative publications to [email protected]. Successful candidates will directly work with Dr. Qun Song.

Qualification & Experience:

• Bachelor's (Research Assistant) / Master's (Research Associate) degree in Computer Science / Electrical Engineering / Mathathematics or related fields with good grades.
• Solid programming skills and prototyping capabilities.
• Research experience in sensing, signal processing, deep learning, robotics, SLAM, and related domains is advantageous.

The National University of Singapore invites applications for the position of Research Assistant in the Department of Computer Science, School of Computing (SoC). SoC is strongly committed to research excellence in all its dimensions: Searching for fundamental results and insights, developing novel computational solutions to a wide range of applications, building large-scale experimental systems and improving the well-being of society. We seek to play an active role both internationally and locally in the core and emerging areas of Computer Science and Information Systems.

The Research Assistant will be responsible for working closely with the Principal Investigator and lab members on one or more research projects. He/she should possess experience or interest in at least one of the following research areas:

• Artificial Intelligence and Machine Learning
• Computer Vision
• Algorithms
• Circuits and Systems
• Programming Languages & Software Engineering

Only shortlisted candidates will be notified.

Requirements

• A Bachelor’s degree with Honours in a relevant area; and
• Experience in research.

Research Fellow positions are available in the Information Systems Technology and Design (ISTD) Pillar, Singapore University of Technology and Design (SUTD). The candidates will conduct research in acoustic sensing and simultaneous localization and mapping (SLAM).

Interested applicants should send their CVs, transcripts, and representative publications to [email protected]. Successful candidates will directly work with Dr. Qun Song.

Qualification & Experience:

• Doctoral degree in Computer Science / Electrical Engineering / Mathathematics or related fields with good grades.
• Solid programming skills and prototyping capabilities.
• Research experience in sensing, signal processing, deep learning, robotics, SLAM, and related domains is advantageous.

We have several available postdoctoral and research assistant positions at the Singapore University of Technology and Design (SUTD) to work in the area of Robotics. This position focus on supporting the design of algorithm for various robotics applications.

Qualification:
- Relevant Degree in Electrical Engineering, , Mechanical Engineering, Robotics, or related areas
- Strong hands on experience Preference will be given to those with prior robotics project experience such as:
1) SLAM;
2) ROS;
3) Sensor fusion;
4) Machine Learning;
5) Mobile platforms (eg: wheeled robots, legged robots); and
6) Manipulators

Applications, assembled as a single PDF file, should contain a complete resume, full list of publications, as well as the names and contact information of up to three references.

Interested applicants may send his/her CV to Assoc/Prof U-Xuan Tan via email ( [email protected] ). Review of applications will continue until the position is filled. Only shortlisted candidates will be notified.

Job Description:

• Support procurement process at DxD Hub, ensuring technical and policy compliance as well as value-for-money.
• Structuring requirements for procurement process: Translate purchase requests from technical team to online procurement systems.
• Perform and/or support activities throughout procurement process. Example activities include creating internal approval memos and justification, preparing external documents (e.g. Invitation to Quote, Tenders).
• Support proposal evaluation: work with users to perform structured assessment of vendor proposals and recommend proposal to award.
• Partner with executives in other functions including Procurement and Finance to ensure efficient operations.
• Collate and track data to support analysis, including maintaining databases and hard copy records.
• Ensure that database is updated in a timely and accurate manner.
• Provide general administrative and clerical support to DxD Hub Team ensuring safe and comfortable DxD Hub operations.
• General administrative and clerical support to DxD Hub Team.
• Manage and monitor inventory of office and pantry supplies and re-order as needed.
• Track non-scientific equipment and assets (e.g. video conferencing system, furniture) and work with vendors for maintenance.
• Monitor facilities vendors (e.g. cleaning, telecom) to ensure a comfortable office environment for staff including light clean-up as needed.
• Work closely with SpIA and HR for the issuance of staff card for new hires and ensure that the staff has access to all DxD office sites.

Job Requirements:

• Diploma holder with a certificate in professional secretarial skills/ finance.
• Minimum 5 years of relevant experience in similar capacity.
• Experience in purchasing of biomedical consumables and equipment would be an advantage.
• Proficient in MS Office Applications, including Word, Excel, PowerPoint, and Outlook.
• A team player with excellent interpersonal, communication and organisational skills.
• Able to communicate effectively, multi-task, and work in a dynamic environment.
• Well organised and good written communication skills.
• Awareness of workplace health and safety would be an advantage.
• Meticulous and able to work independently in a fast-paced environment.
• Individual who is self-motivated, and results driven.
• Proactive and takes ownership of projects.
• Adaptable and able to work under pressure.

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 & Responsibilities

• Maintenance of Quality Management System ensuring compliance to internal, and international standards and regulatory requirements for medical devices.
• Develop QMS documents in line with business activity of DxD Hub.
• Ensure the overall document control system supports the QMS.
• Work with technical team to create quality document related to product design, development, and manufacturing, including product test/validation protocols, change management in compliance to applicable regulatory requirements.
• Lead auditor for internal and external audits.
• Conduct management review, ensure QMS stays current and relevant.
• Lead in root cause analysis and CAPA.
• Analyze trends inquality performance.
• Drive improvement in the quality management system.

Job Qualifications

• At least a Bachelor’s degree in Science/Engineering or relevant related field.
• Possess at least 4 years of working experience in quality assurance in medical devices; thorough working knowledge of ISO 13485:2016.
• Good working knowledge in managing QMS in a medical device environment in compliance to ISO 13485:2016.
• Competent in quality assurance methodologies.
• Working knowledge in QA processes for design, development, and manufacturing of IVD, SaMD and Integrated Medical Technologies.
• Demonstrated skills in risk management (ISO 14971).
• Knowledge in regulatory requirements for medical devices in ASEAN, USA and EU.
• Strong background in biomedical, computer or engineering sciences.
• Awareness of applicable workplace environment, health, and safety regulations.
• Possess creative skills and problem-solving skills.
• Adeptness in cultivating professional networks and build strategic partnerships.
• Good communication skills.
• Demonstrates strong leadership capabilities and an agile mindset.

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

We are looking for a self-motivated candidate with expertise in high performance digital design and system level architecture modeling to join our Heterogeneous System design team. This candidate will work closely with IME's advanced packing team and contribute to the exploration, optimization and development of multicore & multi-chip system using IME's heterogeneous integration platform.

Job Description:

Digital IC Design and system-level exploration:

• Contribute to the design and development of digital integrated circuits, ensuring they meet performance and functionality requirements.
• Emphasize a system-level perspective in the design process, considering overall system architecture and functionality.
• Incorporate Edge AI principles into digital IC designs, enabling efficient and intelligent processing at the edge of the network.
• RTL implementation for custom circuit design using Verilog/SystemVerilog
• Derive specs and implement necessary customized and highly efficient building blocks such as systolic array, data path controller, scheduler, integer and floating-point processing engine, FFT, etc which are frequency used in various computing architectures.

Simulation, Verification, and Implementation:

• Conduct thorough simulation and verification of digital designs to validate functionality and performance.
• Utilize FPGA in digital IC designs, leveraging its flexibility and reconfigurability for system emulation and architecture exploration
• Perform timing analysis and collaborate with the team to optimize designs for timing closure.
• Contribute to power analysis activities and implement power-efficient design techniques.

Publish research works in prestigious conferences and Journals such as ISSCC, VLSI Symp, A-SSCC, DAC, JSSC and TCAS-I/II.

Prepare detailed design documentation, including specifications, test plans, and reports.

Troubleshoot and debug digital IC designs with a focus on identifying and addressing system-level issues.

Bring creative and innovative solutions to design challenges, staying abreast of industry trends and emerging technologies.

Requirements:

• Master's, or Ph.D. in Electrical Engineering, Computer Engineering, or a related field. The candidate should have prior experiences in IC tape-out of digital/mixed signal SoC and system level modelling and optimization using industry standard tools from leading EDA vendors such as Cadence, Synopsis and Matlab.

We are seeking machine learning and image recognition specialist to join our project team. The ideal candidate preferably has the background in machine learning techniques and image recognition algorithms to solve complex problems and improve project outcomes. You will work closely with a multidisciplinary team to develop, implement, and optimize ML models that are critical to the success of our projects.

• Design, develop, and deploy machine learning models and image recognition algorithms tailored to project-specific requirements.
• Collaborate with cross-functional teams to understand project needs, gather, and analyse requirements, and deliver ML-driven solutions.
• Conduct data collection, preprocessing, and augmentation to create training datasets.
• Implement and optimize image recognition models for accuracy, efficiency, and scalability.
• Evaluate model performance using appropriate metrics and make necessary adjustments to improve outcomes.
• Stay abreast of developments in machine learning and image recognition fields to incorporate cutting-edge technologies and methodologies into project solutions.
• Document model development processes, algorithms, and performance metrics.
• Provide technical guidance and mentorship to team members on machine learning and image recognition best practices.

Required/Desired Skills

• Experience in machine learning and image recognition, with a strong portfolio of project work that demonstrates expertise in these areas.
• Proficiency in programming languages such as Python, and familiarity with ML libraries (e.g., TensorFlow, PyTorch) and computer vision libraries (e.g., OpenCV).
• Experience with deep learning architectures (CNNs, RNNs, GANs) specifically designed for image processing tasks.
• Analytical skills with the ability to solve complex problems independently and as part of a team.

Required/Desired Qualifications

• Bachelor’s or master’s degree in Electronics & computer science, Artificial Intelligence, or a related field.

Experiences

Minimum 3 years’ experience in machine learning and image recognition within a technology/research organisation. Fresh graduate with relevant knowledge and skills will be considered.

The National Semiconductor Translation and Innovation Centre (NSTIC) aims to foster ecosystem collaboration and boost R&D translation outcomes in the areas of flat optics and silicon photonics. NSTIC opens up new possibilities in enhancing the performance, efficiency and functionality of semiconductor devices. We are seeking an enthusiastic and self-directed Project Manager to join our team. You will have opportunities to work with researchers from research institutes, universities, as well as industry partners.

Job Description / Responsibilities

• Initiating, planning, executing, monitoring and, coordinating various aspects of projects related to the development and implementation of the technologies under NSTIC
• Ensure timely and successful delivery of the project within budget through the management and control of project risk, scope, schedule, budget and quality
• Manage internal and external stakeholders such as the technical team, NSTIC management, universities, other government agencies and the industry
• Documenting and reporting of project progress and outcomes
• Support other operational activities in the centre

Qualifications / Requirements

• Bachelor or Masters in any engineering / project management related discipline
• At least 3 years of project management experience in semiconductor/microelectronics/photonics or research project
• PMP certifications or equivalent will be advantageous
• Good business acumen, driven to deliver customer requirements and project deadlines
• Proactive team player and technically motivated to solve problems, innovate and deliver to internal and external stakeholders
• Strong communicator with excellent 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.

The Digital Health Accelerator (DHA) is led by A*STAR, Ministry of Health (MOH) Singapore, SingHealth, National Healthcare Group (NHG), and National University Health System (NUHS). DHA supports innovators in driving adoption and scaling of market ready or near-market ready digital health solutions. DHA is hosted by Singapore's Diagnostics Development Hub (DxD Hub).

The workflow and process transformation leader are the linchpin of the DHA team. S/he is responsible for supporting DHA teams to ensure maximum benefit is being realised from implementing digital health solutions and measuring the impact of those solutions. For most projects this will involve process and people change that will require strong leadership and stakeholder management.

An effective workflow and process transformation leader will likely come from a leadership position in hospital operations, healthcare IT professional services or healthcare consulting background. S/he will be equally comfortable talking to both front-line care givers as well as the C-Suite to drive big changes in clinical practice supported by digital health.

Description

• Senior leader responsible for ensuring outcomes and impact of digital health solutions are realized and quantified
• Perform as-is and to-be workflow analysis
• Lead definition of key performance indicators for solution baseline performance and impact
• Analyse factors that drive process performance
• Identify and manage stakeholder groups to target to change systems and processes
• Act as independent advisors to PHIs to create a shared vision around to-be process and mobilize commitment to change

Qualifications

• Master's Degree in Engineering, Business Administration or Related Field
• 15+ years of experience in hospital operations management or consulting
• Track record of multi-stakeholder, multi-institution change management
• Define and lead measurable quantifiable parameters with respect to current vs perceived change.
• Experience in measuring return of investment measures on software projects, ideally in healthcare setting
• Experience in process improvement methodologies (Lean, Six Sigma, TQM, etc)

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

We are looking for a self-motivated candidate with expertise in high performance digital design and system level architecture modeling to join our Heterogeneous System design team. This candidate will work closely with IME's advanced packing team and contribute to the exploration, optimization and development of multicore & multi-chip system using IME's heterogeneous integration platform.

Job Description:

Digital IC Design and system-level exploration:

• Contribute to the design and development of digital integrated circuits, ensuring they meet performance and functionality requirements.
• Emphasize a system-level perspective in the design process, considering overall system architecture and functionality.
• Incorporate Edge AI principles into digital IC designs, enabling efficient and intelligent processing at the edge of the network.
• RTL implementation for custom circuit design using Verilog/SystemVerilog
• Derive specs and implement necessary customized and highly efficient building blocks such as systolic array, data path controller, scheduler, integer and floating-point processing engine, FFT, etc which are frequency used in various computing architectures.

Simulation, Verification, and Implementation:

• Conduct thorough simulation and verification of digital designs to validate functionality and performance.
• Utilize FPGA in digital IC designs, leveraging its flexibility and reconfigurability for system emulation and architecture exploration
• Perform timing analysis and collaborate with the team to optimize designs for timing closure.
• Contribute to power analysis activities and implement power-efficient design techniques.

Publish research works in prestigious conferences and Journals such as ISSCC, VLSI Symp, A-SSCC, DAC, JSSC and TCAS-I/II.

Prepare detailed design documentation, including specifications, test plans, and reports.

Troubleshoot and debug digital IC designs with a focus on identifying and addressing system-level issues.

Bring creative and innovative solutions to design challenges, staying abreast of industry trends and emerging technologies.

Requirements:

• Master's, or Ph.D. in Electrical Engineering, Computer Engineering, or a related field. The candidate should have prior experiences in IC tape-out of digital/mixed signal SoC and system level modelling and optimization using industry standard tools from leading EDA vendors such as Cadence, Synopsis and Matlab.

Job Description:

• Support procurement process at DxD Hub, ensuring technical and policy compliance as well as value-for-money.
• Structuring requirements for procurement process: Translate purchase requests from technical team to online procurement systems.
• Perform and/or support activities throughout procurement process. Example activities include creating internal approval memos and justification, preparing external documents (e.g. Invitation to Quote, Tenders).
• Support proposal evaluation: work with users to perform structured assessment of vendor proposals and recommend proposal to award.
• Partner with executives in other functions including Procurement and Finance to ensure efficient operations.
• Collate and track data to support analysis, including maintaining databases and hard copy records.
• Ensure that database is updated in a timely and accurate manner.
• Provide general administrative and clerical support to DxD Hub Team ensuring safe and comfortable DxD Hub operations.
• General administrative and clerical support to DxD Hub Team.
• Manage and monitor inventory of office and pantry supplies and re-order as needed.
• Track non-scientific equipment and assets (e.g. video conferencing system, furniture) and work with vendors for maintenance.
• Monitor facilities vendors (e.g. cleaning, telecom) to ensure a comfortable office environment for staff including light clean-up as needed.
• Work closely with SpIA and HR for the issuance of staff card for new hires and ensure that the staff has access to all DxD office sites.

Job Requirements:

• Diploma holder with a certificate in professional secretarial skills/ finance.
• Minimum 2 years of relevant experience in similar capacity.
• Experience in purchasing of biomedical consumables and equipment would be an advantage.
• Proficient in MS Office Applications, including Word, Excel, PowerPoint, and Outlook.
• A team player with excellent interpersonal, communication and organisational skills.
• Able to communicate effectively, multi-task, and work in a dynamic environment.
• Well organised and good written communication skills.
• Awareness of workplace health and safety would be an advantage.
• Meticulous and able to work independently in a fast-paced environment.
• Individual who is self-motivated, and results driven.
• Proactive and takes ownership of projects.
• Adaptable and able to work under pressure.

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

The Digital Health Accelerator (DHA) is led by A*STAR, Ministry of Health (MOH) Singapore, SingHealth, National Healthcare Group (NHG), and National University Health System (NUHS). DHA supports innovators in driving adoption and scaling of market ready or near-market ready digital health solutions. DHA is hosted by Singapore's Diagnostics Development Hub (DxD Hub).

The workflow and process transformation leader are the linchpin of the DHA team. S/he is responsible for supporting DHA teams to ensure maximum benefit is being realised from implementing digital health solutions and measuring the impact of those solutions. For most projects this will involve process and people change that will require strong leadership and stakeholder management.

An effective workflow and process transformation leader will likely come from a leadership position in hospital operations, healthcare IT professional services or healthcare consulting background. S/he will be equally comfortable talking to both front-line care givers as well as the C-Suite to drive big changes in clinical practice supported by digital health.

Description

• Senior leader responsible for ensuring outcomes and impact of digital health solutions are realized and quantified
• Perform as-is and to-be workflow analysis
• Lead definition of key performance indicators for solution baseline performance and impact
• Analyse factors that drive process performance
• Identify and manage stakeholder groups to target to change systems and processes
• Act as independent advisors to PHIs to create a shared vision around to-be process and mobilize commitment to change

Qualifications

• Bachelor's or Master's Degree in Engineering, Business Administration or Related Field
• 10+ years of experience in hospital operations management or consulting
• Track record of multi-stakeholder, multi-institution change management
• Define and lead measurable quantifiable parameters with respect to current vs perceived change.
• Experience in measuring return of investment measures on software projects, ideally in healthcare setting
• Experience in process improvement methodologies (Lean, Six Sigma, TQM, etc)

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 & Responsibilities

• Maintenance of Quality Management System ensuring compliance to internal, and international standards and regulatory requirements for medical devices.
• Develop QMS documents in line with business activity of DxD Hub.
• Ensure the overall document control system supports the QMS.
• Work with technical team to create quality document related to product design, development, and manufacturing, including product test/validation protocols, change management in compliance to applicable regulatory requirements.
• Lead auditor for internal and external audits.
• Conduct management review, ensure QMS stays current and relevant.
• Lead in root cause analysis and CAPA.
• Analyze trends inquality performance.
• Drive improvement in the quality management system.

Job Qualifications

• At least a Master's degree in Science/Engineering or relevant related field.
• Possess at least 4 years of working experience in quality assurance in medical devices; thorough working knowledge of ISO 13485:2016.
• Good working knowledge in managing QMS in a medical device environment in compliance to ISO 13485:2016.
• Competent in quality assurance methodologies.
• Working knowledge in QA processes for design, development, and manufacturing of IVD, SaMD and Integrated Medical Technologies.
• Demonstrated skills in risk management (ISO 14971).
• Knowledge in regulatory requirements for medical devices in ASEAN, USA and EU.
• Strong background in biomedical, computer or engineering sciences.
• Awareness of applicable workplace environment, health, and safety regulations.
• Possess creative skills and problem-solving skills.
• Adeptness in cultivating professional networks and build strategic partnerships.
• Good communication skills.
• Demonstrates strong leadership capabilities and an agile mindset.

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.

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

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 National University of Singapore invites applications for the position of Research Fellow in the Department of Computer Science, School of Computing (SoC). SoC is strongly committed to research excellence in all its dimensions: Searching for fundamental results and insights in developing novel computational solutions to a wide range of applications, building largescale experimental systems, developing theories and policies for effective management of information systems in organizations, and improving the well-being of society. We seek to play an active role both internationally and locally in the core and emerging areas of Computer Science and Information Systems.

The Research Fellow will be responsible for working closely with the Principal Investigator on one or more research projects. In particular, the research fellow will conduct research for designing low-power embedded systems. Focus would be on designing low-power standard complaint transmitters and receivers.

Only shortlisted applicants will be notified.

Qualifications

• A PhD degree in Computer Science or related field
• Peer-reviewed publications at top-tier venues like MobiSys, MobiCom, SenSys
• Strong skills in wireless communication and embedded systems
• Background in commodity radio standards such as LoRa, WiFi, and ZigBee
• Ability to work well in a team environment
• Excellent presentation 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

The National University of Singapore invites applications for the position of Research Fellow in the Department of Computer Science, School of Computing (SoC). SoC is strongly committed to research excellence in all its dimensions: Searching for fundamental results and insights in developing novel computational solutions to a wide range of applications, building largescale experimental systems, developing theories and policies for effective management of information systems in organizations, and improving the well-being of society. We seek to play an active role both internationally and locally in the core and emerging areas of Computer Science and Information Systems.

The Research Fellow will be responsible for working closely with the Principal Investigator on one or more research projects. In particular, the research fellow will drive the research project on hardware co-designed distributed shared memory systems. The project explores holistic designs of SmartNICs, programmable switches, and RDMAs to accelerate the coherence and management overhead of distributed shared memory systems. By co-designing with network hardware, the project aims to enable local-DRAM-like performance for applications using DSM.

Only shortlisted applicants will be notified.

Qualifications

• A PhD degree in Computer Science or related field
• PhD thesis in systems and networking
• Prior research experience in distributed systems, networking, and software-hardware co-design
• Paper publications in top systems conferences: SOSP, OSDI, ASPLOS, EuroSys, NSDI

The National University of Singapore invites applications for the position of Research Associate in the Department of Computer Science, School of Computing (SoC). SoC is strongly committed to research excellence in all its dimensions: Searching for fundamental results and insights, developing novel computational solutions to a wide range of applications, building large-scale experimental systems and improving the well-being of society. We seek to play an active role both internationally and locally in the core and emerging areas of Computer Science and Information Systems.

The Research Associate will be responsible for working closely with the Principal Investigator and lab members on one or more research projects. He/she should possess experience or interest in at least one of the following research areas:

• Artificial Intelligence and Machine Learning
• Computer Vision
• Algorithms
• Circuits and Systems
• Programming Languages & Software Engineering

Qualifications

• A Master’s degree in a relevant area;
• Experience in research.

Only shortlisted candidates will be notified.