Total 3,014 Education / Training job vacancies in D23 Hillview, Dairy Farm, Bukit Panjang, Choa Chu Kang

Join the altSchool team, where you can be at the heart of a transformative educational experience for children with special needs. We are seeking Teachers who are eager to collaborate on innovative early intervention strategies and committed to making a tangible difference.

First 90 Days

• Immerse yourself in the altSchool core values and methods, understanding our innovative approach to early intervention
• Learn and embrace all our policies and protocols including teaching approaches, performance management, parent engagement protocols and safety procedures
• Familiarise yourself with our school management app and integrate it seamlessly into classroom management.
• Work closely with our team to adapt and enrich our curriculum framework, ensuring alignment with the AEPS assessment framework
• Design and implement dynamic Individual Education Plans (IEPs) tailored to each student's needs
• Engage with the AltSchool community, including families, to establish trust and communication channels

Typical Expectations

• Embrace a hands-on role in delivering and refining high-quality, individualised education
• Support a team of educators, fostering a culture of professional growth and collaboration
• Collaborate with the Centre Manager to ensure operational excellence, coordinate schedules, and maintain high levels of parent engagement
• Work closely with other professionals such as speech therapists, occupational therapists, and psychologists to create and regularly update holistic educational plans for each student
• Regularly assess student progress, leveraging technology to streamline reporting and adapt strategies
• Actively contribute to a culture of open communication and continuous improvement using our in-house software tools and platforms

Requirements

• Bachelor’s or Master’s degree in Special Education, Psychology, or a related field.
• At least 1 to 3 years of hands-on experience in a special education setting, preferably with a leadership background.
• Familiarity with the AEPS (Assessment, Evaluation, and Programming System) for children.
• Additional certification or accreditation in teaching, with a willingness to pursue further specialisation in early intervention is a plus
• Strong proficiency in technology use in education, with the ability to adapt to new platforms
• Excellent communication and collaborative skills, with a passion for driving change in educational practices

Core competencies (Job scorecard snapshot)

• Curriculum Alignment: Expertise in aligning lesson plans with a prescribed curriculum framework
• Individualised Instruction: Adept at creating and executing tailored educational plans
• Educational Operations: Competent in collaborating with management for smooth daily operations
• Collaborative Leadership: Demonstrated ability to lead within an agile, team-focused environment
• Continuous Innovation: Committed to exploring and implementing progressive educational strategies
• Community Building: Proven ability to engage parents and build a vibrant learning community
• Tech Integration: Skilled in employing technology to enhance learning and operation

Why altSchool?

At altSchool, you'll be part of an agile team that's rethinking early intervention. We're not just filling positions; we're looking for innovators who will help us push the boundaries of what's possible in special education in Singapore. Here’s why you should join us:

• Be part of a collaborative culture where your voice matters and your contributions shape the future of our early intervention approach
• We are obsessed with efficiency and excellence - we don't like wasting time or resources
• You will use our comprehensive school management platform that streamlines teaching and enriches learning experiences. It also supports our daily operations and parent engagement all in one place
• You'll be a part of performance management systems and processes that drive our effectiveness, track goals, and support our ethos of open, transparent communication
• You'll have the opportunity to grow with a startup that’s poised to make a meaningful impact

If you're ready to be part of a team that values innovation, efficiency, and transformative educational experiences, we want to hear from you. Apply now and join the movement to redefine early intervention education.

职位描述 :

· 根据公司的课程框架执行和进行适合年龄的课程

· 保持良好的课堂和学习环境，促进按照课程框架学习

· 通过成为积极的榜样，与孩子和父母建立信任和尊重的关系

· 按照时间表执行日常事务

· 为参考/记录目的维护最少的管理工作

工作需求及资历 :

· 学前教育大专文凭和新加坡ECDA L1或 L2的认证

· 享受和热爱幼儿的陪伴

· 精力充沛，充满活力!

· 解决问题能力和良好的人际交往能力

· 能够与父母和各利益相关者建立良好的关系

· 团队合作者

福利：

• 年终花红
• 个人表现花红 (一年两次）
• 个人表现加薪
• 优秀员工奖（每个月一次）

Job Description:

· Execute & conduct age-appropriate curriculum according to the Company’s curriculum framework

· Maintain quality classroom and learning environment that promotes learning in accordance to the curriculum framework

· Forster a trusting and respectful relationship with children and parents by being a positive role model

· Execute daily routine accordance to time schedule

· Maintain minimum admin work for reference / record purpose

Requirements:

· Diploma or Certificate in Early Childhood Care & Education - Teaching (DECCE-T or CECCCE), Diploma in Child Pyschology & Early Education

· Good problem solving and interpersonal skills

· Ability to build good rapport with parents and various stakeholders

· Enjoy and love the company of young children

· Team player

· Preferably energetic, vibrant and child-like!

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!

Shape the Future of Education with altSchool

We are looking for Assistant Teachers who are passionate about innovative early intervention. If you're eager to make a meaningful impact from day one, we invite you to join our pioneering educational team.

First 90 Days

• Immerse yourself in the altSchool core values and methods, understanding our innovative approach to special education
• Assist in the creation and delivery of engaging, individualised learning experiences aligned with our curriculum
• Establish a positive and supportive classroom environment for our diverse learners
• Begin forming strong, communicative relationships with families and the broader school community

Typical Expectations

• Provide consistent support to Lead and Co-Teachers, contributing to a seamless educational experience
• Actively engage with and support our students, applying differentiated instructional methods
• Collaborate in the monitoring and reporting of student progress, adapting to their evolving needs
• Continue to grow professionally, embracing ongoing training and development opportunities

Requirements

• A diploma or certificate in Special Education, Early Childhood Education, Child Development, or a related field
• Experience working with children, preferably within an educational or special needs setting
• A collaborative spirit with a strong desire to learn and grow within an innovative teaching environment
• Excellent communication skills, with the ability to interact warmly and effectively with students, staff, and parents
• A proactive and flexible approach to classroom duties

Core competencies (Jobs scorecard snapshot)

• Supportive Instruction: Ability to aid in delivering tailored educational content
• Classroom Management: Skills in creating and maintaining a structured learning environment
• Student Engagement: Competence in engaging students in a variety of learning activities
• Team Collaboration: Proven track record of working effectively within a team
• Communication: Strong interpersonal skills to foster connections with the entire school community

Why altSchool?

AltSchool River Valley represents a new chapter in special education. As a start-up, we offer a unique opportunity to:

• Be an integral part of a visionary early intervention from the very beginning
• Contribute to a culture that values collaboration, innovation, and adaptive learning
• Work with a multidisciplinary team to create impactful learning experiences
• Join a community where your growth is supported, and your input drives change

Your Opportunity to Make a Difference

Ready to embark on a rewarding educational journey? Apply now to become an Assistant Teacher at altSchool and help us lay the groundwork for a lifetime of learning

PRODUCT AREA

In Google Search, we're reimagining what it means to search for information – any way and anywhere. To do that, we need to solve complex engineering challenges and expand our infrastructure, while maintaining a universally accessible and useful experience that people around the world rely on. In joining the Search team, you'll have an opportunity to make an impact on billions of people globally.

JOB DESCRIPTION

Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google’s needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward.

With your technical expertise you will manage project priorities, deadlines, and deliverables. You will design, develop, test, deploy, maintain, and enhance software solutions.

Qualifications

JOB RESPONSIBILITIES

• Investigate, design and develop services
• Integrate, finetune and improve existing ML models and services
• Evaluate existing ML models, services and metrics
• Collaborate closely with other team members to deliver features end-to-end

MINIMUM QUALIFICATIONS

• Bachelor’s degree or equivalent practical experience
• Experience with software development in one or more programming languages (e.g., Python, C, C++, Java)

PREFERRED QUALIFICATIONS

• Experience with applied Machine Learning, including but not limited to training, deploying, serving and monitoring on ML models
• Experience with technologies including but not limited to large language models, large image models, multi-modal models, encoders, classical machine learning models

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.

JOB DESCRIPTION

· Assist in training sessions for the sales team

· Conduct market trend research

· Provide admin support for the sales team

· Communicate with clients

· Update client information and track interactions

· Assist in creating sales proposal and presentations

· Maintain organized documents

· Coordinate with other departments

JOB REQUIREMENTS

· Minimum Diploma and above

· Willing to learn and flexibility to adapt to working environment

· Entry level candidates are welcome to apply, training will be provided

EA Reg. Number: R21100629

EA License Number: 22C1278

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.

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.

Job Description

The National University of Singapore (NUS) is a leading research-intensive university https://nus.edu.sg/ that is consistently ranked among the world’s top universities. The Department of Psychology at NUS https://fass.nus.edu.sg/psy/ has well-established undergraduate, graduate research, and graduate clinical psychology professional training programmes. The Department consists of an internationally diverse group of faculty members who are committed to excellence in research, teaching, and clinical practice.

We seek applicants for 2 full-time Lecturer / Senior Lecturer in Clinical Psychology position, Educator-Track, to join us in January 2025. The Department at this time specifically aims to strengthen professional teaching within the NUS Clinical Psychology Programme, hence all successful applicants must have a doctoral-level qualification in clinical psychology and be registered and/or licenced to practice in their home countries. Established clinical practice experience, academic teaching in a higher education establishment, and prior experience in providing clinical supervision are essential. Further experience in post-doctoral clinical research, or in supervision of clinically applied research projects, would be advantageous.

Campus visits will likely take place in August 2024 at the NUS Department of Psychology. Shortlisted applicants must be available for campus visits during the specified period. The department will not accommodate any requests for rescheduling of interviews. Prior to campus visits, remote pre-interviews with shortlisted candidates might be conducted, at the discretion of the Search Committee.

Qualifications

Applicants must submit the following documents online:

• Full CV, including education, professional background, clinical and teaching experience, provision of clinical supervision, research activities, and service accomplishments to date.
• A Preface (maximum 300 words) that makes the case for your appointment. This should be a highly distilled summary of your key contributions to clinical practice, student learning, and education, guided by your teaching and clinical philosophies.
• A Teaching Statement (maximum 3,000 words) that conveys the evidence of student learning and educational leadership (if applicable). It should articulate your contributions across multiple domains of academic teaching practice (instruction, clinical and research supervision, student assessment, and course design). Evidence of educational and/or clinical leadership can exemplify how you influence peers and others in their teaching and/or clinical practice. Where applicable, you may also briefly explain how your research and service contributions enhance your academic teaching abilities. The statement must reflect on the candidates’ teaching philosophy.
• Teaching evaluations and, if applicable, peer review reports. Other evidence of teaching excellence is welcome.
• Examples of taught module outlines, samples of teaching materials and assessment tasks, if available.

Closing Date

Submission of application closes on 1 July 2024. Only shortlisted applicants will be notified.

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.

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.

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