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 National University of Singapore invites applications for the position of Research Assistant in the Department of Computer Science, School of Computing. The School of Computing 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.

Job Requirements

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

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.

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

This posting is for two postdoctoral research positions in the exciting areas of electrochemical ammonia synthesis in the Xianbiao Fu group, which is affiliated with the Department of Materials Science and Engineering at the National University of Singapore (NUS).

The perspective postdoctoral positions are to develop:

1. Understanding the mechanism of Li-mediated NRR and Ca-mediated NRR
2. Exploring novel methods for nitrogen activation under mild conditions
3. Ammonia electro-oxidation and decomposition
4. Artificial synthesis of amino acids
5. Electrosynthesis of high-value fine chemicals
6. Electrocatalysis in organic systems
7. Precision synthesis of model (single crystal) catalysts and the design of novel electrochemical reactors

Extensive state-of-the-art infrastructure for materials synthesis, electrochemistry test and characterization is established at the Department of MSE.

The responsibilities of the postdoctoral fellow also encompass facilitating communication and information flow among groups working in the fields of catalysis and electrosynthesis. Additionally, the fellow will provide management support during the development of larger research proposals and contribute to initiatives aimed at sharing and advancing infrastructure for catalysis and electrosynthesis research.

Research Group Website: https://www.xianbiaofugroup.com/

Applicants should send those materials (CV, cover letter, and 3 representative papers) in the form of a PDF document. Please submit all application materials in English.

Qualifications

The applicants must hold PhD degree (or other equivalent degrees) in chemistry, chemical engineering, materials science or other relevant related fields. Experience with catalysis, electrochemistry, organic electrosynthesis, ammonia synthesis, organic synthesis and other related areas, is considered advantageous. Experience with material characterization techniques like SEM/EDS, TEM, XRD, XAS, XPS, FTIR, and Raman will also be highly considered. Since cross disciplinary work is essential for the success of this project. It is considered positive if the candidate can demonstrate experience in similar work environments.

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.

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 Professor XIA Yingcun on Statistical learning of complicated health data under a project on Tensor dimension reduction for multimodal data and its application in EEG analysis.

Qualifications

• Qualifications / Discipline: PhD in Statistics and Data Science.

• Skills: The successful candidate needs to have experience in large-scale data analysis, advanced probability and statistical techniques, and strong computer programming skills.

• Experience: 2 years of research experience in machine learning methods.

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 Lee Kuan Yew School of Public Policy is a leading public policy school in Asia, part of the National University of Singapore. Its mission is to improve governance in Asia, and improve lives for a sustainable world. Its faculty consists of accomplished scholars, educators, and experienced policy practitioners. The school offers several Master's degree programmes, a small PhD programme, as well as executive education programmes for policymakers in Asia and beyond.

The School and the University place strong emphasis on teaching and learning. To serve the educational mission of the School and the University, the Educator Track has been designed to bring together and support the career pathway of outstanding educators. Faculty on the Educator Track will be expected to teach as well contribute to the broader educational mission of the School. At more senior levels, they are expected to lead on pedagogical innovations and in teaching and learning matters. A research background in a primary disciplinary domain is valued. Scholarly research on pedagogy and teaching is a bonus, but not mandated. Although the NUS Educator Track is not a tenurable line, it has a route towards an Associate Professorship on an open contract, along with the possibility of funding for overseas conference travel.

The LKY School invites applications for the following full-time positions on the Educator Track:

• Lecturer/Senior Lecturer in Public Finance & Budgeting (disciplinary field – Economics or Public Administration)
• Lecturer/Senior Lecturer in Data Analytics or Advanced Methods/Tools, with an ability to teach R and Python preferred (disciplinary field – Public Administration, Public Management, or Public Policy)

Applicants for Senior Lecturer positions must possess a PhD degree as well as at least five years teaching experience and demonstrated impact in higher education settings. Candidates for Lecturer positions should have a PhD degree, and prior teaching experience in higher education settings would be advantageous.

The appointments of Senior Lecturer and Lecturer will be for an initial period of 3-5 years and 2-3 years, respectively, ideally beginning January 2025, with the possibility of contract renewal based on performance and the school’s teaching requirements.

Application

To apply, please provide a detailed resume and a cover letter describing your background and preparation for the position, your teaching interests, and your potential contributions to the school.

Interested candidates are encouraged to find out more about the National University of Singapore and the LKY School at www.lkyspp.nus.edu.sg.

Required Documents

• Detailed curriculum vitae, including details of education, employment history, past experience of teaching and supervision, research activities (including publications) and achievements, honours and awards, and service accomplishments.
• Cover letter.
• Teaching statement.
• A teaching portfolio with sample classroom exercises and recent student or peer teaching evaluations.
• Three letters of reference.

Only shortlisted candidates will be notified.

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.

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

This posting is for two postdoctoral research positions in the exciting areas of electrochemical ammonia synthesis in the Xianbiao Fu group, which is affiliated with the Department of Materials Science and Engineering at the National University of Singapore (NUS).

The perspective postdoctoral positions are to develop:

1. Understanding the mechanism of Li-mediated NRR and Ca-mediated NRR
2. Exploring novel methods for nitrogen activation under mild conditions
3. Ammonia electro-oxidation and decomposition
4. Artificial synthesis of amino acids
5. Electrosynthesis of high-value fine chemicals
6. Electrocatalysis in organic systems
7. Precision synthesis of model (single crystal) catalysts and the design of novel electrochemical reactors

Extensive state-of-the-art infrastructure for materials synthesis, electrochemistry test and characterization is established at the Department of MSE.

The responsibilities of the postdoctoral fellow also encompass facilitating communication and information flow among groups working in the fields of catalysis and electrosynthesis. Additionally, the fellow will provide management support during the development of larger research proposals and contribute to initiatives aimed at sharing and advancing infrastructure for catalysis and electrosynthesis research.

Research Group Website: https://www.xianbiaofugroup.com/

Applicants should send those materials (CV, cover letter, and 3 representative papers) in the form of a PDF document. Please submit all application materials in English.

Qualifications

The applicants must hold PhD degree (or other equivalent degrees) in chemistry, chemical engineering, materials science or other relevant related fields. Experience with catalysis, electrochemistry, organic electrosynthesis, ammonia synthesis, organic synthesis and other related areas, is considered advantageous. Experience with material characterization techniques like SEM/EDS, TEM, XRD, XAS, XPS, FTIR, and Raman will also be highly considered. Since cross disciplinary work is essential for the success of this project. It is considered positive if the candidate can demonstrate experience in similar work environments.

A*STAR Infectious Diseases Labs (A*STAR ID Labs) is seeking for a Principal Scientist to join us in our mission to be a leading centre of infectious diseases research. A*STAR ID Labs aims to develop a cohesive A*STAR response to drive and deliver translational infectious diseases research to better health and economic outcomes.

Job Description

• Leads conceptual and technical integration of various research studies to provide leading edge solutions in antimicrobial resistance (AMR) research and development
• Conceptualize and create new technologies, patents and publications
• Review and manage operating budget of grants and team
• Establish collaborations, develop scientific proposals and ensure timely achievement of project milestones
• Manage a team and provide scientific and career mentorship to researchers and students

Job Requirements

• PhD in Biomedical Sciences, Life Sciences, Microbiology, Molecular Biology, Infectious Diseases, Immunology or related field as above
• 4 years of post-PhD relevant experience
• Strong background in Microbiology, Immunology, Molecular Biology, Biochemistry, Genetics and Genomics
• Strong publication record
• Highly motivated and ability to develop strong research ideas to secure grant and funding
• Strong analytical, technical and problem-solving skills
• Team player with good interpersonal skills
• Good spoken and written communication skills

NetVirta is a fast growing, venture-backed startup in the fashion fit technology space. If you’ve had difficulty shopping online because you couldn’t find clothing or footwear that fit, you’ve experienced the problem we address. It’s an issue that troubles shoppers around the world and NetVirta is uniquely positioned to solve it.

Founded by two MIT graduates and located in Boston and Singapore, NetVirta is the world’s leading fit technology provider for medical, retail and sports equipment brands, helping customers order the right size with precision 3D body scanning. We began serving the medical industry in 2013, helping doctors scan medical patients to create custom-fit orthotics and prosthetics. In 2017, we expanded to enable NFL and NCAA football players to obtain custom-fit helmets. Fast forward to 2022, NetVirta’s closed deals with multiple clothing and footwear brands in North America, Europe, and Asia.

We are proud to be certified as Great Place to Work® in Singapore.

What can you expect?

We are seeking a Machine Learning Engineer / Researcher who will lead the development and deployment of advanced machine learning models to power our recommendation system and search engine. In this role, you will have opportunities to work with state-of-the-art AI techniques, including large language and vision models, integrating them to complement our recommendation system and search architecture. You will also play a vital role in maintaining and evolving our AI systems throughout the different growth stages.

Responsibilities

• Build scalable recommendation and search engines tailored to fashion content.
• Lead the design, development, and optimization of machine learning models, especially in the context of fashion recommendation systems and search engines.
• Integrate various techniques to help tackle cold start problems, including

1. Content-based recommendation
2. Leveraging implicit user interaction signals
3. Large language (vision) models

Required Skills & Experience

• Bachelor’s, Master’s or PhD degree in Machine Learning, Computer Science, or a related field.
• Experience with Python and machine learning frameworks (eg., TensorFlow, PyTorch).
• Prior hands-on experience with recommendation & search systems and knowledge of its key components (retrieval, re-ranking, cold-start, etc).
• Familiarity with using large language models and computer vision techniques.
• Ability to collaborate in a fast-paced, cross-functional environment with strong communication and teamwork skills.

Good-to-Have

• Knowledge of reinforcement learning (e.g. multi-armed bandits and related techniques).
• Prior industry experience with A/B tests in the context of recommendation systems.
• Good understanding of the infrastructure behind large-scale recommendation and search systems.

What else is awaiting you?

• Career development opportunities, like mentoring, career exploration through a Japanese concept called Ikigai.
• Learning is fundamental to our culture, your growth together with Netvirta's are paramount to how we can transform the industry.
• Besides hard work, we value your well-being and want you to have fun too! Attractive compensation and benefits as well as engagement and welfare activities awaits you.
• Work alongside with friendly colleagues in a positive environment.

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

Applications are invited for a Research Associate position in the Centre for International Law (CIL), National University of Singapore. This is a one-year contractual position offered in connection with CIL’s expansion of its research on artificial intelligence and technology law. The objective of the position is to develop the research capabilities and knowledge of junior scholars by immersing them in a dynamic and supportive research environment where they can enhance their understanding of different areas of international law and policy.

The duties of the incumbent will involve:

• Assisting the AI and Technology Law Lead in research related to the programme’s ongoing projects in AI regulation, technology law, and related areas, including CIL’s role as an official observer in forums discussing the legal frameworks for AI and emerging technologies. This will involve examining the regulatory landscape for AI governance, ethical AI development, and the impact of AI on privacy, security, and human rights, while also exploring the intersections of AI, emerging technologies, and digital innovation, focusing on the development of legal frameworks to support responsible AI integration in global contexts.
• Assisting with the development and organisation of seminars and workshops organized by CIL.
• Conducting research and completing at least one publication for possible publication in a recognised journal at the termination of the position.

All research staff in CIL will have access to professional development opportunities (e.g., events, seminars, and training programmes) within NUS. They will also have opportunities to attend regional and international conferences, workshops and symposiums as well as other scholarly opportunities.

Qualifications

• An LLM or JD degree or equivalent experience;
• A solid foundation in AI and technology law, including knowledge of AI regulation, data protection, intellectual property, the ethical and legal challenges associated with emerging technologies, and an interest in cutting-edge and developing issues in AI Law governance;
• Excellent analytical, research and writing skills A high degree of self-motivation and strong organisational and computer skills;
• At least 2 years working experience.

Application Procedures

Interested applicants are invited to apply with the following supporting documents:

• A covering letter indicating experience, motivation for applying to work at CIL, and research interests;
• A detailed curriculum vitae (no more than three pages) setting out educational and work history;
• University transcripts;
• One sample of written work;
• Names and details of two referees.

The deadline for applications is 25 November 2024. Please note only shortlisted candidates will be notified.

More Information about CIL

CIL was established in 2009 as a university-level research institute at the National University of Singapore (NUS). It is located on the Bukit Timah Campus of NUS, together with the Faculty of Law and the Lee Kwan Yew School of Public Policy. As a university-level research institute, CIL engages in both legal and multi-disciplinary research on wide variety of international law issues. Its mission is to enable Singapore and the Asia-Pacific region to play a more significant role in the promotion and development of international law. More about CIL can be found here: https://cil.nus.edu.sg/

We are seeking a highly skilled and experienced Principal Scientist with a strong background in Computer Science or Mathematics to lead our efforts in the research and development of Privacy Enhancing Technologies (PETs). The ideal candidate will specialize in areas such as Multi-Party Computation (MPC) and Homomorphic Encryption (HE), with a proven track record of high-impact work in these fields. This role involves creating proofs of concept (PoCs) or software at higher Technology Readiness Levels (TRLs), developing new algorithms, and leading R&D teams to push the boundaries of what is possible with PETs.

Key Responsibilities:

• Research and Development: Lead innovative research projects to develop new algorithms that enhance the efficiency, security, and applicability of PETs like MPC and HE.
• Proof of Concept Creation: Design and develop advanced PoCs or TRL software that demonstrate the practical application and effectiveness of newly developed algorithms. This includes application of PETs in various domains like healthcare, finance, manufacturing, transport, etc.
• Team Leadership: Direct and mentor a team of research scientists and engineers, fostering a collaborative environment that encourages innovation and rigorous scientific evaluation.
• Collaboration and Networking: Engage with the broader scientific community to keep abreast of latest developments, share findings, and collaborate on cutting-edge projects.
• Publication and Dissemination: Author influential research papers for top-tier journals and conferences, and present findings at international forums to establish and maintain leadership in the field.
• Strategic Planning: Contribute to the strategic planning of the data security group by aligning R&D activities with long-term organizational goals.

Qualifications:

• Education: PhD in Computer Science, Mathematics, or a closely related field.
• At least 8 years of experience
• Experience: Extensive experience in Privacy Enhancing Technologies, particularly Multi-Party Computation, Homomorphic Encryption, Confidential Computing, or other PETs.
• Leadership: Proven ability to lead and manage R&D teams in a high-tech environment.
• Publications: A strong publication record in peer-reviewed journals and conferences, demonstrating significant contributions to the field of cybersecurity and PETs.
• Skills: Exceptional analytical and problem-solving skills, proficient in algorithm design, and adept at programming in languages suitable for scientific computing and cybersecurity applications.

Desired Attributes:

• Innovative thinker with the ability to challenge conventional approaches and pursue new methodologies.
• Excellent communication skills, capable of conveying complex technical details to diverse audiences.
• Strong organizational skills, with the ability to manage multiple projects simultaneously and meet deadlines.

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

. Report to Academic Head (Higher Education)

· Prepare and develop teaching and learning materials according to module descriptor

· Develop lesson plan and create assessment brief

· Complete marking of all assessment papers and to moderate academic results

· Conduct lesson to be delivered face-to-face

· Adopt the use of Information Technology tools to enhance learning by students

· Regular feedback to Academic Head regarding students’ academic performance and behaviour

Requirements:

· Possess Master’s or Doctorate Degrees in Education

· With at least 5 years of relevant working or teaching experience in education field

· Possess strong interpersonal and communications skills, passionate in sharing knowledge and interacting with students

· Strong sense of professionalism and commitment in completing assigned tasks efficiently and in a timely manner

Responsibilities

. Report to Academic Head (Higher Education)

· Prepare and develop teaching and learning materials according to module descriptor

· Develop lesson plan and create assessment brief

· Complete marking of all assessment papers and to moderate academic results

· Conduct lesson to be delivered face-to-face

· Adopt the use of Information Technology tools to enhance learning by students

· Regular feedback to Academic Head regarding students’ academic performance and behaviour

Requirements:

· Possess Master’s or Doctorate Degrees in IT, Computing, Data Science and AI

· With at least 5 years of relevant working or teaching experience in data science field

· Possess strong interpersonal and communications skills, passionate in sharing knowledge and interacting with students

· Strong sense of professionalism and commitment in completing assigned tasks efficiently and in a timely manner