We are looking for a self-motivated candidate with expertise in high performance digital design, DSP and mixed signal modeling join our cryogenic CMOS-based quantum control project. This candidate will work closely with our digital and analog design team as well as with the local physics and material designers to develop low-power, high fidelity and highly scalable control and read-out SoC for superconducting qubit-based quantum computing applications.

Job Description:

· Digital IC Design and system-level exploration:

o Lead and contribute to co-optimization between on-chip memory and DSP design and analog front-end (i.e. DAC, BPF, Mixer, LNA and ADC) to ensure high quantum control/readout as well as to optimize power consumption per channel

o Emphasize system-level perspective in the design process, considering overall system architecture and functionality

o Apply a deep understanding of cryogenic temperature effects on digital ICs and implement design strategies for optimal performance in low-temperature environments

o RTL implementation for custom circuit design using Verilog/SystemVerilog with focus on DDS, Filter and Error Correction Code

· Simulation, Verification, and Implementation:

o Conduct thorough simulation and verification of mixed signal designs to validate quantum control fidelity and digital-analog interface throughput

o Utilize FPGA in digital IC designs, leveraging its flexibility and reconfigurability for system emulation and architecture exploration

o Perform timing analysis and collaborate with the team to optimize designs for timing closure

• Publish research works in prestigious conferences and Journals such as ISSCC, VLSI Symp, A-SSCC, DAC, JSSC and TCAS-I/II
• Collaborate closely with cross-functional teams, including hardware and software engineers, to seamlessly integrate digital ICs into the overall system architecture
• 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. Stay abreast of industry trends and emerging technologies
• Test and verify fabricated chip using FPGA and other lab equipment such as logic analyzer and oscilloscope

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:

As part of the national HealthierSG initiative to transform the way healthcare is delivered, NUHS Regional Health System Office (RHSO) is setting up a Care and Call Centre (CareHub) to support the western population through phone calls, telemedicine and digital communication platforms to become healthier and take charge of own health.

You will be responsible to helm CareHub in line with CareHub’s service standards and key performance indicators (KPIs) and deliver a positive customer experience for residents and community partners who reach in to CareHub for support to age well in the community. The job scope would include referrals to community partners, facilitating community appointments, conducting outbound nudges to encourage participation in screening and vaccination to assisting residents and community partners with navigation of the healthcare landscape.

You will have the opportunity to be part of a dynamic team and we are looking for like-minded individuals to join us who are positive, passionate about service experience with a quality improvement mindset.

You will also participate in the development, implementation and review of CareHub’s functions and initiatives, as well as be a knowledge champion for CareHub ’s knowledge management system.

The job holder will support the operations of CareHub Care and Call Centre in the following areas but not limited to:

1. Engagement of residents and community partners to address enquiries about population health and RHSO services and initiatives and link up with the appropriate team / service where appropriate;
2. Proactively liaising with NUHS teams and community partners to facilitate coordination of community based services for residents
3. Support the navigation and provision of community based resources / services to support residents and caregivers to take charge of own health
4. Assisting residents with community appointment related requests
5. Conduct outbound nudges to encourage enrolment and participation in screening and vaccination
6. Proactive team player to contribute to service improvement initiatives and projects and be part of implementation
7. Scan for new ways, tools and technology to improve resident and partners’ experience and efficiency of processes.

Requirements:

• At least Diploma qualification
• Positive attitude with a customer experience mindset
• Highly independent, self-motivated and collaborative in team setting
• Good interpersonal communication and writing skills
• Highly adaptable and good situational judgement.
• Meticulous
• Experience in call centre or service line will be advantageous.
• Ability to speak various languages will be advantageous.
• Proficiency with Microsoft suite of applications
• Open to work extended hours eg weekends

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 Dr Subhroshekhar Ghosh on mathematics of data under a project on "Complex structures in Statistical Physics and the Math of Data and Stochastic models with latent symmetries".

The main responsibilities of the position include conducting research.

Qualifications

• Qualifications / Discipline: PhD in Mathematics / Statistics with an emphasis on random matrix theory, statistical learning theory, understanding and applications of negative dependence in these fields.
• Skills: Familiarity with the Kadison-Singer problem, the geometry of polynomials and their interaction with theoretical computer science and machine learning. Coding skills in a standard ML programming language.

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 Dr Zhu Ruyi under a project on Modified DNA/RNA for biomedical applications and biocatalysis.

The main responsibilities of the position include:

• Lead the research projects
• Train juniors (PhD or undergraduate students)
• Assist and help with lab management

Qualifications

Qualifications / Discipline: PhD in Chemistry or Chemical Biology

Skills: Organic Synthesis, Catalysis, Chemical Biology

Full Stack Infrastructure Developer

The candidate will be part of the team developing a federated computational infrastructure for multi-domain modelling and simulation. The candidate will focus on integrating modelling and simulation tools with a distributed computational backend to serve the diverse needs of the multi-disciplinary research team and the project stakeholders, including scientific experimentation, modelling and simulation, and the federation of a system-of-systems to address complex policy issues for governmental agencies and affiliated organisations.

The responsibilities include but are not limited to:

• Design a system architecture for the infrastructure.
• Strategise and execute a phased deployment plan for the infrastructure.
• Develop integration capabilities (e.g., APIs, microservices) to connect system components.
• Set up and optimise database and storage systems to support compute-heavy workloads.
• Set up a workflow management system to submit jobs onto a distributed computing cluster.
• Adapt simulation models and AI/ML flows into reusable workflow tasks.
• Package models and pipelines into exportable workflows (e.g., Argo flow, Airflow).
• Deploy full-stack solutions onto on-premises, cloud, or hybrid deployments.
• Automate infrastructure and code management with CI/CD (e.g., Jenkins).
• Implement information security schemes to control and monitor access.
• Construct test cases to ensure correctness, robustness, scalability, and security of the platform.
• Contribute to open-source development for selected system components.
• Support other development activities (e.g., simulation integration, machine learning, frontend).

Education and experience requirements:

• Bachelor's or Master's degree in computer science, software engineering, or related fields.
• Minimum of two years of experience in full stack development, data science, or systems engineering.

Technical skills:

• Strong proficiency in a wide range of programming languages, including Python, Java, JavaScript, and C++.
• Strong experience with containerization and orchestration technologies, such as Docker and Kubernetes.
• Strong proficiency with continuous integration and continuous deployment (CI/CD) pipelines.
• Experience with infrastructure as code (IAC) tools (e.g., Ansible, Terraform).
• Experience with database management systems, such as SQL and NoSQL databases.
• Experience in system administration, including Linux server management.
• Experience with version control systems (e.g., Git).
• Familiarity with cloud computing platforms (e.g., AWS, Azure, or Google Cloud).
• Understanding of networking and security best practices.

Soft skills:

• Excellent communication skills to collaborate with interdisciplinary teams.
• Strong problem-solving and critical thinking abilities.
• Strong project management and time management skills.
• Strong capacity for self-motivation, independence, and initiative to take ownership and complete tasks without constant supervision.
• Adaptability to work in a fast-paced, dynamic research environment.

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

We are developing innovative RF and microwave systems for communication and remote sensing using RF and microwave components and system-on-chip (RFSoC).

As part of this project, we have a position open for a research fellow who has in-depth knowledge and experience with RFSoC, such as the Xilinx family of RFsoCs.

You will work in a team that designs and tests RF and microwave subsystems.

The following must be included in your resume:
• A summary of RFSoC projects that you were involved in.
• A list of the RFSoC design tools you have experience with.
• A list of programming languages you have experience with.

Qualifications

• Possess a PhD degree or equivalent
• Several years of experience with radio frequency system-on-chip (RFsoC) or similar technologies.
• Able to work independently and in a team.
• Available for travel for conferences, trainings, and meetings with companies.
• Open to fixed-term contract.

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

Responsibilities:
• Develop and maintain web applications using Python, HTML, and ReactJS.
• Design and implement front-end interfaces using modern JavaScript
frameworks.
• Collaborate with the design team to create user-friendly and visually appealing
interfaces.
• Write clean, maintainable, and efficient code following best practices.
• Perform code reviews to ensure code quality and adherence to coding
standards.
• Troubleshoot and debug issues across the entire stack.
• Optimize applications for maximum speed and scalability.
• Stay updated on emerging technologies and trends in web development.
• Work closely with cross-functional teams to gather requirements and translate
them into technical solutions.
• Participate in sprint planning, daily stand-ups, and other agile ceremonies.

Requirements

Requirements:
• Bachelor's degree in Computer Science, Engineering, or related field.
• Proven experience as a Full Stack Developer or similar role.
• Proficiency in Python, HTML, CSS, JavaScript, and ReactJS.
• Strong understanding of web development concepts such as RESTful APIs, MVC
architecture, and responsive design.
• Experience with version control systems such as Git.
• Familiarity with database systems such as SQL and NoSQL.
• Excellent problem-solving and analytical skills.
• Ability to work independently and in a team environment.
• Strong communication and interpersonal skills.
• Attention to detail and a passion for writing clean, well-organized code.

Qualifications

Preferred Qualifications:
• Experience with other front-end frameworks such as Angular or Vue.js.
• Knowledge of server-side technologies such as Flask or Django.
• Experience with cloud platforms such as AWS or Azure.
• Understanding of DevOps principles and CI/CD pipelines.
• Familiarity with Agile methodologies such as Scrum or Kanban.

Join us in building innovative and cutting-edge web applications that make a difference.
If you're passionate about technology and enjoy working in a collaborative environment,
we'd love to hear from you.

Apply now and take the next step in your career as a Full Stack Developer!

The Signature Research Programme in Emerging Infectious Diseases (EID) aims to pioneer the development and discovery of new and more effective methods for the treatment, prevention and control of new and emerging pathogens. The key outcome of the research will be the early identification of new pathogens, out of which new diagnostic tests, treatments and control strategies will be developed.

This position is for a full-time Research Fellow / Senior Research Fellow with a strong background in Cell Biology, Genomics and Microbiology/Immunology to work in a dynamic research team focused on bat biology. The candidate is expected to play a critical role in generating and fostering a cutting-edge, interdisciplinary research environment by performing a variety of research under the supervision of the Principal Investigator or his/her designate. The main duties and responsibilities will include but not limited to the following: -

• Independently carry out the design and execution of high precision in vitro and in vivo experiments related to pathogenesis and host immune response of influenza or other respiratory pathogens.
• Write and review research papers, present research outcomes, conceptualize new ideas and develop plans for research that could have a considerable influence and impact on the relevant field.
• Provide support for external grant and protocol development, study design and management of research activities.
• Demonstrate and present research output.
• Provide guidance and mentorship to undergraduate / medical students and research assistants.
• Perform other related duties incidental to the work described therein.

Job Requirements

• PhD in Cell Biology, Genomics, Microbiology, Immunology, Biotechnology or a related biomedical field.
• Possess a strong background in molecular and cell biology.
• Prior work experience in bat biology is preferred.
• Skills in proteomics or metabolomics would be advantageous.
• Possess excellent quantitative, analytical and organisational skills.
• A strong team player who is open-minded, energetic, highly motivated and can work collaboratively in an interdisciplinary team and diverse workforce.

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

Main duties and responsibilities:

• Able to work independently on any given project, from planning and executing experiments, data analysis, to the writing and submission of manuscripts.
• Management of ongoing grants such as submission of annual reports, consumables purchasing, grant virements and EOM matters.
• Preparation and submission for local and international competitive grants on behalf of PI
• Preparation and submission of ethics documentation to DSRB for new and ongoing research projects. Administrative duties also include communication with IRB regarding amendment of ICFs, ethics renewal and HBRA related issues.
• Able to oversee the safety and health management of the laboratory members in the team - generating SOPs and RAs
• Managing and mentorship of junior staff members to be able to think critically, perform literature reviews, plan experiments, analyse and present data.

Job Description

Competencies:

• Able to oversee and manage research projects and collaborations
• Familiar with laboratory safety audits
• Familiar with application and submission of ethics documents
• Maintain the highest standard of professional conduct and record-keeping in accordance with institutional policies and procedures

Qualifications

Qualifications/Experience:

• Minimum of PhD in biomedical field– strong preference for candidates with a genetic and genomic background
• Post-doctoral training of minimum 3 years - strong preference for candidates with a genetic and genomic background
• Background in single-cell sequencing would be an added advantage
• A strong publication track record would be an added advantage

Skills and Knowledge:

• Fluent in English, conversational and written
• Excellent interpersonal and communication skills
• Familiar with EndNote, MS word, SPSS software, Python
• Ability to lead research team
• Excellent ICT skills
• Adaptive and flexible with a positive outlook on managing research projects and resources

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 Dr Zhu Ruyi under a project on Modified DNA/RNA for biomedical applications and biocatalysis.

The main responsibilities of the position include:

• Lead the research projects
• Train juniors (PhD or undergraduate students)
• Assist and help with lab management

Qualifications

Qualifications / Discipline: PhD in Chemistry or Chemical Biology

Skills: Organic Synthesis, Catalysis, Chemical Biology

Job Description:

Candidate will be part of Far-Backend Of Line (Far-BEOL) team of process module engineers, advancing specialty microelectronics technologies at IME. His or her main roles and responsibilities include:

- Develop and support bonding process capabilities, including vacuum bonding, metal-metal bonding, fusion bonding, hybrid bonding, and temporary bonding for MEMS, silicon photonics, and advanced packaging applications.

- Deliver innovations involving process methodologies, materials, or approach, and generate intellectual property related to various aspects of wafer-to-wafer and die-to-wafer bonding.

- Participate in discussions with industry partners to align and develop the building blocks required for next generation advanced packaging platforms, including equipment capabilities.

- Participate as team member with process integration teams to actively support bonding process optimization and process troubleshooting for various industry and grant projects.

- Support preparation of competitive grant research project proposals and execution of these projects.

- File patents/know-hows on new development activities.

- Publish research findings in prestigious journals and conferences.

Job Requirement:

- PhD with specialization in Electronic / Microelectronics / Material Engineering / Material Science/ Chemistry / Physics or equivalent.

- 10 years of experience in wafer bonding technologies, either in an academic or industrial setting.

- Prior hands-on experience in wafer bonding with in-depth technical knowledge in atleast one or more bonding processes and mechanisms (vacuum bonding, metal-metal bonding, fusion bonding, hybrid bonding, temporary bonding) is required.

- Knowledge of MEMS, silicon photonics, or advanced packaging technology platforms is preferred.

- Strong experimental design (DOE) and data analysis skills is preferred

- Good interpersonal skills and strong demonstrated skills in collaborating with internal and external stakeholders.

- At least 2 years of demonstrated experience in managing projects of moderate complexity is preferred

- Good oral and written communication skills, with ability to deliver clear and concise messages to both internal and external stakeholders.

- Self-driven with strong interest in next-generation applications of wafer bonding technologies and industry trends.

Full Stack Infrastructure Developer

The candidate will be part of the team developing a federated computational infrastructure for multi-domain modelling and simulation. The candidate will focus on integrating modelling and simulation tools with a distributed computational backend to serve the diverse needs of the multi-disciplinary research team and the project stakeholders, including scientific experimentation, modelling and simulation, and the federation of a system-of-systems to address complex policy issues for governmental agencies and affiliated organisations.

The responsibilities include but are not limited to:

• Design a system architecture for the infrastructure.
• Strategise and execute a phased deployment plan for the infrastructure.
• Develop integration capabilities (e.g., APIs, microservices) to connect system components.
• Set up and optimise database and storage systems to support compute-heavy workloads.
• Set up a workflow management system to submit jobs onto a distributed computing cluster.
• Adapt simulation models and AI/ML flows into reusable workflow tasks.
• Package models and pipelines into exportable workflows (e.g., Argo flow, Airflow).
• Deploy full-stack solutions onto on-premises, cloud, or hybrid deployments.
• Automate infrastructure and code management with CI/CD (e.g., Jenkins).
• Implement information security schemes to control and monitor access.
• Construct test cases to ensure correctness, robustness, scalability, and security of the platform.
• Contribute to open-source development for selected system components.
• Support other development activities (e.g., simulation integration, machine learning, frontend).

Education and experience requirements:

• Bachelor's or Master's degree in computer science, software engineering, or related fields.
• Minimum of 5 years of experience in full stack development, data science, or systems engineering.

Technical skills:

• Strong proficiency in a wide range of programming languages, including Python, Java, JavaScript, and C++.
• Strong experience with containerization and orchestration technologies, such as Docker and Kubernetes.
• Strong proficiency with continuous integration and continuous deployment (CI/CD) pipelines.
• Experience with infrastructure as code (IAC) tools (e.g., Ansible, Terraform).
• Experience with database management systems, such as SQL and NoSQL databases.
• Experience in system administration, including Linux server management.
• Experience with version control systems (e.g., Git).
• Familiarity with cloud computing platforms (e.g., AWS, Azure, or Google Cloud).
• Understanding of networking and security best practices.

Soft skills:

• Excellent communication skills to collaborate with interdisciplinary teams.
• Strong problem-solving and critical thinking abilities.
• Strong project management and time management skills.
• Strong capacity for self-motivation, independence, and initiative to take ownership and complete tasks without constant supervision.
• Adaptability to work in a fast-paced, dynamic research environment.

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.

Simulation Integration Developer

The candidate will be part of the team developing a federated computational infrastructure for multi-domain modelling and simulation. The candidate will focus on the software and system integration of sophisticated simulation models (developed by multiple research partners) into a system-of-systems, which will be used by governmental agencies and affiliated organisations to address complex policy issues. The responsibilities include but are not limited to:

• Design a federated integration architecture for the system-of-systems.
• Strategize and execute a phased deployment plan for the federation.
• Assess and evaluate existing integration technologies to determine their suitability for the project's requirements.
• Integrate and customise simulation models to work seamlessly within the broader federation.
• Develop connectors, interfaces, and adapters to facilitate model communication and data interchange.
• Perform verification and validation of integrated simulations, including internal testing and external validation with stakeholders.
• Collaborate with cross-domain teams to incrementally and continuously integrate their simulation models into the federation.
• Optimise simulation and federation performance and stability.
• Construct test cases to ensure correctness, robustness, scalability, and security of the federation.
• Contribute to open-source development for selected system components.
• Support other development activities (e.g., machine learning, frontend, backend).

Education and experience requirements:

• Bachelor's or Master's degree in computer science, software engineering, or related fields.
• Minimum of two years of experience in simulation development and/or system integration.

Technical skills:

• Strong proficiency in a wide range of programming languages, including Python, Java, JavaScript, and C++.
• Proficiency in high-performance communication technology (e.g., gRPC, MPI, ZeroMQ)
• Proficiency in simulation software and tools (e.g., SimPy, MASON, Repast, Simulink, AnyLogic, SUMO).
• Familiarity with simulation integration standards and frameworks (e.g., HELICS, HLA, DIS)
• Familiarity with model pipelining tools (e.g., Airflow, MLflow, Argo).
• Experience with containerization and orchestration technologies, such as Docker and Kubernetes.
• Experience with version control systems (e.g., Git).

Soft skills:

• Excellent communication skills to collaborate with interdisciplinary teams.
• Strong problem-solving and critical thinking abilities.
• Strong project management and time management skills.
• Strong capacity for self-motivation, independence, and initiative to take ownership and complete tasks without constant supervision.
• Adaptability to work in a fast-paced, dynamic research environment.

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.

Simulation Integration Developer

The candidate will be part of the team developing a federated computational infrastructure for multi-domain modelling and simulation. The candidate will focus on the software and system integration of sophisticated simulation models (developed by multiple research partners) into a system-of-systems, which will be used by governmental agencies and affiliated organisations to address complex policy issues. The responsibilities include but are not limited to:

• Design a federated integration architecture for the system-of-systems.
• Strategize and execute a phased deployment plan for the federation.
• Assess and evaluate existing integration technologies to determine their suitability for the project's requirements.
• Integrate and customise simulation models to work seamlessly within the broader federation.
• Develop connectors, interfaces, and adapters to facilitate model communication and data interchange.
• Perform verification and validation of integrated simulations, including internal testing and external validation with stakeholders.
• Collaborate with cross-domain teams to incrementally and continuously integrate their simulation models into the federation.
• Optimise simulation and federation performance and stability.
• Construct test cases to ensure correctness, robustness, scalability, and security of the federation.
• Contribute to open-source development for selected system components.
• Support other development activities (e.g., machine learning, frontend, backend).

Education and experience requirements:

• Bachelor's or Master's degree in computer science, software engineering, or related fields.
• Minimum of 5 years of experience in simulation development and/or system integration.

Technical skills:

• Strong proficiency in a wide range of programming languages, including Python, Java, JavaScript, and C++.
• Proficiency in high-performance communication technology (e.g., gRPC, MPI, ZeroMQ)
• Proficiency in simulation software and tools (e.g., SimPy, MASON, Repast, Simulink, AnyLogic, SUMO).
• Familiarity with simulation integration standards and frameworks (e.g., HELICS, HLA, DIS)
• Familiarity with model pipelining tools (e.g., Airflow, MLflow, Argo).
• Experience with containerization and orchestration technologies, such as Docker and Kubernetes.
• Experience with version control systems (e.g., Git).

Soft skills:

• Excellent communication skills to collaborate with interdisciplinary teams.
• Strong problem-solving and critical thinking abilities.
• Strong project management and time management skills.
• Strong capacity for self-motivation, independence, and initiative to take ownership and complete tasks without constant supervision.
• Adaptability to work in a fast-paced, dynamic research environment.

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 Dr Zhu Ruyi under a project on Modified DNA/RNA for biomedical applications and biocatalysis.

The main responsibilities of the position include:

• Lead the research projects
• Train juniors (PhD or undergraduate students)
• Assist and help with lab management

Qualifications

Qualifications / Discipline: PhD in Chemistry or Chemical Biology

Skills: Organic Synthesis, Catalysis, Chemical Biology

We are looking for a candidate for high-speed analog integrated circuit design. This candidate will contribute to the development of high linearity silicon photonics modulators for 6G and beyond communication systems. This requires the candidate to work closely with the optics team on the electro/optical co-design as well as system integration and validation.

• Perform system level analysis and design, to derive circuit-level design specifications
• Design and tapeout ICs which include state-of-the-art circuit blocks, e.g. wideband linear low-noise amplifier and transimpedance amplifier with a focus on circuits interfacing with silicon photonics elements
• Work together with team to investigate novel circuit/system solutions to create new inventions

Job Requirements

• Qualification & Field of Study: Minimum Bachelor’s degree and above in Electronic Engineering
• Min. Years of Experience: Minimum 2-years of transistor level analog circuit design experience

Other Requirements (e.g. Skills, Competencies)

• Good understanding of CMOS analog IC design methodologies and successful tapeout experience
• Familiar with analog IC design and verification flow
• Industry experience would be a plus
• Familiar with the IC test equipment such as oscilloscope, spectrum analyzer, etc.
• Good communication skills (both written and spoken)
• Able to generate high quality scientific publications and patents
• Team player, quick learner and self-driven

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 research assistant/associates in the Multimodal Neuroimaging in Neuropsychiatric Disorders Laboratory (MNNDL), Centre for Sleep and Cognition, Yong Loo Lin School of Medicine. More information on the laboratory is available at www.neuroimaginglab.org.

The MNNDL group at NUS studies the human neural bases of cognitive functions and the associated vulnerability patterns in aging and neuropsychiatric disorders using multimodal neuroimaging and psychophysical techniques. We are interested in the large-scale brain structural and functional networks in healthy developing and aging brain and symptoms-related changes in diseases such as neurodegenerative disorders and psychosis. Statistical, computational, and machine learning methods are developed to analyze and fuse multimodal neuroimaging data. By integrating longitudinal behavior, neuroimaging, and genotype data, our long-term goal is to investigate the interactions among brain network dynamics, behavior, diseases, and genotypes to develop non-invasive biomarkers for early detection, differential diagnosis, progression monitoring, and treatment design.

Key attractions are access to a high-performance computing cluster, two 3T Prisma MR scanner and a MR compatible digital EEG system as well as collaboration opportunities with an excellent network of domestic and international scientists and doctors. Appointments will be made on a two-year contract basis in the first instance, with the possibility of extension. Salary and benefits will depend on qualifications and work experience. Long-term commitment is encouraged with mutual satisfaction.

Purpose of the post

The Research Assistant (RA) will work closely with the Principal Investigator, lab members, and collaborators to ensure successful completion of research projects (including neuroimaging, behavioral, and digital tracking experiments), smooth operation of computing and neuroimaging equipment, and efficient management of neuroimaging database in the lab.

Main Duties and Responsibilities

The research assistant will support the effort in conducting cutting-edge neuroscience and machine learning research and development. He/she has the opportunity to learn state-of-the-art neuroimaging techniques, data collection and analysis, with healthy participants and patients with neuropsychiatric diseases. He/she will be primarily engaged in all neuroimaging and behavioral experiments such as subject recruitment, behavioral testing, digital tracking, image data collection, and data analysis. He/she will also support computing server/storage administration (with support from external vendors), neuroimaging equipment maintenance, and general lab administration like website. He/she will also be able to learn how to conduct fMRI scans with EEG recording, interactions with patients, quality control, behavioural assessments, neuroimage processing using automatic or semi-automatic scripts, and implications in neuroscience and disease. The research assistant is expected to learn neuroimaging softwares and assist researchers in IRB application, data preprocessing and database management in various research projects. He/she will be exposed to ongoing research work in machine learning and statistical analysis in the context of neuroimaging, cognitive neuroscience, and neuropsychiatric disorders. The research assistant/associate will have the opportunity to liaise and work with other clinical collaborators across the institutes/hospitals in Singapore on research projects and contribute to the presentations and publications of research work. He/she will assist with any other duties of a similar nature that are delegated by the principal investigator. He/she is expected to maintain the highest standard of professional conduct and record keeping in accordance with policies and procedures.

Qualifications

The applicant should have:

1. Bachelor’s degree or master’s degree with neuroscience/psychology/life science/engineering/computing background with strong interest to learn
2. Excellent written, oral communication skills
3. Prior programming experience in statistical analysis, medical image analysis or database management (e.g., MATLAB, shell, python) is a plus but not necessary
4. Seek organized, reliable, self-motivated individual who is able to work effectively with others and multitask efficiently
5. Expected to commit for at least two years

Remuneration will be commensurate with the candidate’s qualifications and experience.

Position

This position is for PMO inside PCM section in charge of the global monitoring and reporting around CCS activities (+350 FTE developing and maintaining solutions for Cash Management and Corporate Banking business lines including 3 strategic projects).

This position aims primarily to cover all PMO activities of the department. KPI project supervision as well as all staff plan and budget activities in coordination with Head of Sections and other CCS PMOs.

The PMO is actively supporting the continuous improvement and change management journey of the department. In addition the candidate will support the heads of CCS on their weekly agenda.

Main responsibilities

PMO activities

• Project monitoring per releases,
• Budget consolidation and follow-up,
• Follow-up and update the global staff plan,
• Follow and update the project risks portfolio
• Update the budget tools and PMO referentials
• Follow the production of the project documentation
• Produce the global projects dashboard for Cash Management Transformation program
• Support the managers to produce the follow-up dashboard (Risk, Quality KPI, Alert, Planning, Budget)
• Contribute to the change management of CCS
• Coordination with global stakeholders.

Continuous improvement and change management

• Evaluate the efficiency of the current project management process
• Propose improvements in accordance with our internal project management methodology
• Coach the project managers to deploy new methodologies and process
• Propose new template and evolution of process in efficiency way
• Propose new metrics in order to measure the productivity and risk on the projects
• Propose scenarios to align CCS department with ISAP strategy

Qualifications and Profile

Functional

· Strong Knowledge on IT PMO activities (minimum 2 years of experience)

· Good knowledge in Risk management

· Good knowledge in Project Management

· Experience on Change management

Technical

· Good Knowledge of Project Management tools (e.g. Ms Project, JIRA)

· Strong Knowledge of Microsoft Excel (Macro, Pivot table, …)

Other Professional Skills and Mindset

· Highly analytical mind and energetic character

· Solid analytical abilities

· Good written and oral communication skills adapting to all stakeholder seniority level

· Team player mindset

· Strong flexibility and adaptability

· Very good autonomy with strong reporting skills

· Very good organization skills with attention to details

· Understanding and respect of cultural diversity

· Experience in Finance accounting would be a plus

· Experience in Cash Management would be a plus

Interested applicants, please email your resume to Shaun Quek Yew Meng

Email: [email protected]

CEI Reg No: R1660732

EA Licence No: 99C4599

Purpose of the Job

The role plays a critical role in shaping the long-term vision and strategic direction of the organization. This position involves analysing market trends, competitive landscapes, and internal capabilities to identify growth opportunities, mitigate risks, and enhance overall organizational performance. The Senior Manager collaborates with cross-functional teams, executive leadership, and external stakeholders to develop and execute strategic initiatives that drive business success.

Key Accountabilities

• Strategic Planning:Lead the development and refinement of the organization’s strategic plan, ensuring alignment with business objectives and market dynamics.
  Drive the strategy formulating process and strategy workshops in order to enhance business position.
  Conduct thorough research and analysis to identify emerging trends, competitive threats, and growth opportunities.
  Provide strategic recommendations to senior leadership based on data-driven insights.
  Assess risks associated with strategic decisions and develop mitigation strategies.
  Stay informed about geopolitical, economic, and regulatory changes that may impact the organization.
  
• Market Research, Analysis and Business Intelligence:Oversee market research initiatives, including customer segmentation, market sizing, and competitive benchmarking.
  Monitor industry trends, regulatory changes, and technological advancements to inform strategic decision-making.
  Analyse data to identify gaps and areas for improvement, translating findings into actionable strategies.
  Collaborate with internal stakeholders to gather business intelligence and competitive intelligence.
  Develop and maintain a comprehensive understanding of the organization’s strengths, weaknesses, opportunities, and threats.
  Use data analytics and modelling to support strategic initiatives and drive informed decision-making.
  
• Strategic Initiatives:Lead cross-functional teams in the execution of strategic projects.
  Evaluate investment opportunities and assess their alignment with the organization’s strategic priorities.
  Monitor progress and adjust strategies as needed to achieve desired outcomes.
  
• Stakeholder Engagement:Build and maintain relationships with key internal and external stakeholders, including executives, industry experts, and partners.
  Present strategic recommendations to senior leadership and the board of directors.
  

Qualifications

• Education: MBA or an equivalent degree
• Experience: 12-15 years of relevant finance, commercial, research and strategic / corporate planning experience
• Specialized knowledge: Familiar with strategy frameworks and tools, ability to develop business case & financial modelling
• Skills and Abilities: Communication skills, leadership/management skills, planning, organizing, attention-to-detail, analytical skills, interpersonal skills, flexibility, adaptability, advanced Microsoft Office; problem-solving, critical thinking, team player)

We regret to inform that only short-listed candidates will be contacted for an interview.

AET is an Equal Opportunity Employer. All qualified applicants will be considered without regard, to age, colour, disability, race, religion, gender, gender identification, nationality, marital status, or characteristics protected by law.

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 Dr Zhu Ruyi under a project on Modified DNA/RNA for biomedical applications and biocatalysis.

The main responsibilities of the position include:

• Lead the research projects
• Train juniors (PhD or undergraduate students)
• Assist and help with lab management

Qualifications

Qualifications / Discipline: PhD in Chemistry or Chemical Biology

Skills: Organic Synthesis, Catalysis, Chemical Biology

Research Scientist (Power & Energy Systems Modelling)

We are looking for researchers who have a passion for power and energy systems and advancing the growth of sustainable energy. They will develop models and simulations of power and energy systems, analyse their resiliency and efficiency, and optimise their planning, operations, and deployment particularly to address problems relating to the renewable energy transition.

Successful candidates will work together with a multidisciplinary team of scientists and engineers to develop innovative solutions to support decisions around power system planning, energy economics, electricity markets and policy. The project will also involve collaborations with external organisations such as government planners and industry practitioners in order to move research and technical capabilities closer into real-world policy and planning practices.

Key requirements

• Ph.D in Electrical Engineering or Operations Research, or other related fields
• Proficient in programming in Python, and/or Java/C++
• Excellent written and verbal communication skills
• Ability to work individually as well as in a team in a fast-paced dynamic research environment

Preferred requirements and experience

• Candidate demonstrating a good understanding of the power systems economics, including distribution and transmission operator decision-making processes in different regulatory environments would be highly preferred.
• Experience in power system analysis and optimisation, including and not limited to balanced and unbalanced power flow, OPF, economic dispatch, unit commitment.
• Experience in usage of optimization solvers - CPLEX, GUROBI, GLPK, etc.
• Experience in simulation with power systems modelling tools (PSS/E, PLEXOS, OpenDSS, GridLabD, PowerFactory).
• Experience in analysis tools or integrated assessment platforms or macro energy systems modelling tools (MARKAL/TIMES, OSeMOSYS, SESAME, 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.

The Quality Control officer/supervisor is responsible for the maintenance and improvement of operational service quality. Reporting directly to our Singapore BU Head, you will work cross-functionally with our various Business Units (BUs) including Freight, Cross-Border and Supply Chain Management to drive overall operational excellence.

Key responsibilities:

· Lead ongoing monitoring of key operational metrics and data reporting

· Drive performance improvement based on key operational metrics

· Develop and implement internal quality control standards

· Analyse existing operational flows and highlight potential process weaknesses

· Evaluate and execute process improvement opportunities

· Work closely with BUs to ensure adherence to operational processes and SLAs

Requirements:

· 2 to 4 years of working experience in roles related to quality control or data analysis

· Previous exposure to e-commerce and/or logistics sector(s) highly advantageous

· High level of resourcefulness and adaptability

· Collaborative and data-driven approach to problem solving

· Able to work independently and with high attention to detail

· Language proficiency in both English and Chinese (reading, writing and verbal) is a must for liaison with HQ and Chinese speaking stakeholders

· Proficiency in Microsoft Excel and PowerPoint

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 the following full-time position in the Saw Swee Hock School of Public Health:

Research Fellow

We are looking for a Research Fellow with a quantitative background for ongoing research in Public Health. They will be working within the team under the Principal Investigators Assistant Professor Borame Dickens and/or Professor Alex R Cook.

Candidates need to be able to understand statistical modelling, have a mathematical background, and be fluent in R programming. We will also consider candidates who have extensive C++ or Python coding knowledge as these are transferrable to R.

The candidate will be working with the Principal Investigator(s) on the analysis of national health datasets, utilising an array of methods to infer statistical relationships and health outcomes. Further mathematical modelling will also be carried out when necessary involving diagnostic flows and where appropriate, disease spread and/or illness progression.

The Principal Investigator(s) is seeking for an independent worker who is well-organized, analytical and codes competently. They will however be receiving support from a team of mathematicians, epidemiologists and statisticians, and have a diverse portfolio of tasks. Under the team’s guidance, they will be expected to co-lead their own publications. We welcome academic creativity and will be highly supportive of candidates who wish to either pursue academia or desire for career progression provided they show self-motivation to showcase their problem-solving abilities.

Responsibilities:
Disease modelling
Statistical analyses
Academic writing and publication of results
Preparation of meeting materials for stakeholders

Requirements:
Completed a Doctorate degree in a quantitative discipline (statistics, mathematics, computational biology, data science).
Strong programming skills (R preferred)
Statistical competence (Bayesian is advantageous)

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 Research Assistant will work closely with the Principal Investigator (PI) to design and build desirable microstructure to enhance mechanical properties of steels by additive manufacturing.

The job scope of this position is:

• Conducting literature reviews and understanding state of the art
• Planning and implementing experiments
• Developing simulation models to guide microstructural engineering
• Analysing the experimental and simulation data
• Writing progress reports and research papers

Qualifications

• Bachelors/Masters Degree in Materials Science or Mechanical Engineering
• Knowledge of metallurgy and microstructural engineering is highly required
• Expertise in microstructural characterisation techniques (e.g. TEM, EBSD and FIB) and mechanical testing
• Expertise in numerical simulations (e.g. phase field, FEM)
• Experience with metal additive manufacturing (e.g. powder bed fusion, directed energy deposition) will be advantageous
• Good publication record will be advantageous
• Self-motivated, good team player

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 candidate is responsible for the design of highspeed wireline transmitter >100Gbps.
• The candidate needs to work on the system architecture, schematic design, and mask layout.
• He/she also needs to perform pre and post-layout simulation to ensure the functionality and performance.

Qualifications

• Bachelor or Master degree in Electrical Engineering.
• Experience in EDA tools usage, including Cadence, Spectre, EMX, Synopsys, as well as Matlab.
• Some knowledge on communication system, such as BER, eye diagram, modulation/demodulation, pre-emphasis and etc.
• Open to Fixed Term Contract.