Total 22 science job vacancies in Information Technology category in d05 clementi new town hong leong garden pasir panjang

At NUS Singapore, our people are the driving force behind our success. We pride ourselves on fostering a vibrant and inclusive community of talented individuals from diverse backgrounds.

When you join NUS, you become part of a community of passionate individuals who are dedicated to driving innovation and change in education, research, and service. Our culture of inclusivity and entrepreneurship means that you’ll have the freedom to explore your ideas and make a meaningful impact. Your career at NUS is more than just a job - it’s a transformative experience that will shape your personal and professional growth.

Explore the link provided to learn additional details about the available job opportunity:

https://careers.nus.edu.sg/job/Visiting-Professor%2C-Computer-Science/27368-en_GB/?st=87BC6EC9F5082194874A6D66565C7BBAE2D68F47

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

• To perform safety-related work such as

(a) Conduct safety training / briefing for personnel who needs to work in the cleanroom;

(b) Carry out periodic emergency response drill to familiarize personnel with standard evacuation and response procedure;

(c) Carry out periodic inspection of safety facility such as eyewash & shower, chemical spill absorbent, fire extinguisher, etc.

(d) To monitor users’ activities on CCTV for any irregularities.

• To respond to an emergency call during and after office hour. The emergencies can be a building fire alarm, a fab evacuation alarm which can be a hazardous material spill or a leak or a medical emergency situation.
• To assess the situation and discuss a coordinated response plan with both Safety Manager and Lab Manager based on Emergency Response Plan (ERP)
• To be on standby / on-site for ad-hoc / extended hours lab operations request;
• To learn and have some understand of the chemistry for each individual tools and new projects to ensure Industrial Hygiene for the lab and users are met.
• To follow up, understand changes and make assessment on the safety aspect for tool continuous improvement process (CIP)
• To liaise with supplier for maintenance / procurement of ERT equipment / supplies;
• To perform risk assessments for the research activities related to E5 Cleanroom process and equipment.
• Support the development and implementation of Safety & Health Management System for AMAT-NUS Corp Lab conducting materials research.
• To support on Safety audits
• Any other duties as assigned.

Qualifications

• Diploma/ Degree knowledge and demonstrated experience in the laboratory safety management.
• Awareness of local safety regulations and some experience in developing and implementing Workplace Safety & Health Management System and Programmes.
• Understanding of the scientific and safety-related issues of materials research protocols and ability to review the risk assessments of such protocols.
• Knowledge and understanding of material safety principles, policies, and procedures.
• Effective communication (verbal and technical writing) skills, excellent customer service skills with attention to detail.
• Well verse with Microsoft office and good documentation control. IT application knowledge will be an advantage.

Responsibilities Of The Role

• Directly contributes to the design and development of scaled Data Science algorithms.
• Applies technical knowledge to massive datasets with exploratory data analysis, feature engineering, and model building to deliver accurate and impactful algorithms.
• Quantifies improvement in business areas resulting from u algorithms. Works with Data and Software Engineering teams to productionize algorithms
• Responsible for building advanced analytic (ML/AI/Optimization) algorithms within a Data Science program and working with Business Partners and Friends of Data Science to insert algorithms into business processes and activate them directly with the business.

Job Qualifications

• At Least Bachelor Degree in Analytics, Data Science or related field.
• 1+ year of experience in Python, Cloud and ML Alorithms
• Hands on Machine Learning project experience by Python
• Good understanding about Data Analytics and Business Intelligence
• Exposure in model validation, back-testing, and other model risk management activities.
• Proven Foundation across full spectrum of ML Techniques (Traditional Methods, Deep Learning, Bayesian, etc), Statistics, Data Modeling, and Optimization.
• Strong written and verbal communication skills to influence others to act
• Ability to balance multiple priorities
• Good social skills, self-motivated, dynamic and can-do attitude
• Strong enthusiasm and curiosity about the intersection of business and technology

About Us

We produce globally recognized brands and we grow the best business leaders in the industry. With a portfolio of trusted brands as diverse as ours, it is paramount our leaders are able to lead with courage the vast array of brands, categories and functions. We serve consumers around the world with one of the strongest portfolios of trusted, quality, leadership brands, including Always®, Ariel®, Gillette®, Head & Shoulders®, Herbal Essences®, Oral-B®, Pampers®, Pantene®, Tampax® and more. Our community includes operations in approximately 70 countries worldwide.

Visit http://www.pg.com to know more.

Our consumers are diverse and our talents - internally - mirror this diversity to best serve it. That is why we’re committed to building a winning culture based on Inclusion and our ideal candidate is passionate about the same principle: you will join our daily effort of being “in touch” so we craft brands and products to improve the lives of the world’s consumers now and in the future. We want you to inspire us with your unrivaled ideas.

We are committed to providing equal opportunities in employment. We do not discriminate against individuals on the basis of race, color, gender, age, national origin, religion, sexual orientation, gender identity or expression, marital status, citizenship, disability, veteran status, HIV/AIDS status, or any other legally protected factor.

UWCSEA has a vacancy for August 2025 for a Head of High School Biology and Science teacher on East Campus. The appointee will lead the Team of Biology teachers and also teach IB Diploma Biology and UWCSEA Grade 9/10 Science courses. The successful candidate will also be a mentor for 14-18 students and join a high school grade level team.

The Biology Department is composed of enthusiastic and dynamic teachers who work in a very well-resourced environment for learning. Teaching takes place in dedicated science classrooms that are part of a large, vibrant Science faculty at UWCSEA. The appointee will join the other Science Heads of Department in shaping and leading a cohesive and student-centred team.

At UWCSEA we are looking for an educator who is committed to the UWC mission and in modelling the UWCSEA values: commitment, compassion, inclusion, integrity, openness, responsibility, trust. We strongly believe all faculty and staff are mentors to our students in the classroom and beyond. We are searching for individuals committed to the holistic growth of students, and committed to participate in the five key elements of a UWCSEA education: Academics; Activities; Outdoor Education; Personal and Social Education and Service. We are also looking for an educator who is positive and enthusiastic about creating and contributing to a school that is evolving.

Main Responsibilities

• Teachers should be willing to contribute positively to the collaborative culture of the Science and broader High School teams.
• Teachers should construct learning experiences that challenge students, support the diversity of learners in each classroom and demonstrate a strong commitment to concept-based teaching and learning.
• Teachers should ensure assessments support ongoing learning and provide timely, relevant and appropriate feedback to students on formative and summative assessments.
• Teachers should demonstrate effective classroom management that shows an understanding of the academic, social and emotional dimensions of learning.
• Teachers should keep parents informed about the learning of their children, and be proactive in communication with parents.

For the Head of Biology position:

Effective Leadership – Leading across all five areas of the learning programme

• Puts student learning at the forefront of all decisions and planning
• Has a clear vision for the department and translates this into practical and achievable plans
• Ensures that the learning programme in the department is consistent with the UWCSEA mission, the UWCSEA Learning Principles, the UWCSEA profile and with the strategic goals of the school, campus and College
• Ensures that the learning programme in the department develops and changes as necessary to match developments in technology and educational practice

Professional Development – Supporting the professional development of staff they lead

• Identifies and utilises the full potential of staff in the department by being alert to professional development needs
• Mentors staff within the Professional Learning Programme, and coaches where appropriate so that they work most effectively
• Organises and/or runs informal/formal Professional Development opportunities for the department as individuals or as a whole

Collaboration – working collaboratively within teams

• Enthuses and motivates staff and fosters an environment where creativity and collaboration flourish
• Involves people in decisions, and delegates interesting and challenging tasks
• Gives, expects and acts on constructive feedback, and acknowledges error
• Assumes shared and individual responsibility for successes and problems and is happy to be accountable for the outcomes
• Sets clear boundaries and expectations providing freedom for the team to work effectively
• Acts and leads ethically and with integrity

Communication – communicates effectively within and beyond their team

• Relates well to individuals and deals sensitively with potentially difficult situations with colleagues/students/parents and has effective sensitive and/or difficult conversations
• Chairs meetings effectively and ensures opportunities for more informal communication to take place within the department
• Is clear and articulate in both spoken and written communications with students, colleagues, parents and the wider community
• Is proactive in making appropriate information available to colleagues, pastoral teams, parents and the College community

Expectations and Standards

• Follow the UWCSEA Professional Code of Conduct and Safeguarding Code of Conduct.
• Lead in line with UWCSEA Leadership Standards
• Teach in line with the UWCSEA Teacher Standards

Person Specifications

• A good degree in Biology or a closely related discipline and a recognized teaching qualification or certification are expected.
• Academic expectations include enthusiastic participation in Professional Learning
• Pastoral expectations include the leadership of a mentor group unless the teacher is exempted due to other responsibilities
• On average the College expects a yearly contribution of 1.5 sessions per week in each season to Activities and/or Service.
• Teachers should be willing and eager to participate in the five key elements of a UWCSEA education: Academics; Activities; Outdoor Education; Personal and Social Education and Service
• The College expects that teachers will participate enthusiastically in the curricular Outdoor Education experiences which are relevant to their students and will also occasionally volunteer for holiday Outdoor Education trips.
• A commitment to diversity and inclusion is essential alongside a willingness to adapt and develop pedagogy to meet the needs of our learners.

Applications

The UWC Mission is to make education a force to unite people, nations and culture for peace and a sustainable future. We are committed to creating a community in which all members feel safe and secure, and know that their authentic selves and individual differences are accepted with respect and care. At UWCSEA, we acknowledge that diversity, equity, inclusion and justice (DEIJ) is an ongoing and evolving process and strive to create and sustain a sense of belonging for all members of our community, past, present and future. All qualified applicants, including those who identify as a part of marginalized group(s) and individuals with (dis)abilities are all encouraged to apply. Our school is committed to safeguarding and promoting the welfare of all the students in our care and expects all applicants to share this commitment. We follow safe recruitment practices and all appointments are subject to interview, satisfactory references, identity and criminal record checks.

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 selected candidates will be assigned to teach tutorials for specific modules for undergraduates. They will be guided by the module coordinators or instructors.

Responsibilities:

• Participate in regular meetings with the module coordinators and other TAs
• Support class management and administration
• Conduct tutorials or lab sessions
• Assist in setting up tutorial and assessment questions
• Marking of course assignments

Requirements:

• A good honours degree or Master’s degree in a relevant discipline from a reputable university (e.g., Computing/Engineering)
• Possesses excellent verbal and written communication skills and be able to effectively facilitate learning for undergraduate students
• Strong interest in teaching and preferably with proven teaching experience (especially at the tertiary level)

The Institute of High Performance Computing (IHPC) was established in April 1998 to provide leadership in high performance computing as a strategic resource for scientific inquiry and industry development. Our mission is to advance science and technology, and develop leading-edge applications through high performance computing and computational science. We have long-term ties with industry partners, including multinational companies and local SMEs, which ensures that our R&D activities stay focused and relevant to real-world needs. We also have active cooperation with the world’s top academics and academic institutions.

Simulation Scientist:

We are looking for a simulation expert who will be part of the team developing a next-generation mobility simulation platform using an agent-based modelling approach. The platform is envisioned to be integrated with other modelling & simulation systems under a digital twin strategy. The responsibilities may include any of the following:

• Develop simulation modules for the agent-based simulator.
• Design and implement simulation scenarios.
• Develop behavioural rules for the simulation agents.
• Implement real-world dynamics including physical motion laws, power-flow, scheduling, and operational constraints as needed.
• Design, calibrate and validate simulation models.
• Optimise the performance of the simulation.
• Write research papers and present at conferences and communicate to project collaborators

Education and experience requirements:

• Ph.D. degree in a related discipline (transportation engineering, operations research, computer engineering/science, or related disciplines)
• At least 2 years of experience
• Strong interests and expertise in traffic simulation, statistical modeling, mathematical programming, reinforcement learning, and optimization
• Minimum of two years of experience in simulation development.

Technical skills:

• Strong proficiency in Java and Python programming languages.
• Familiarity with electrified mobility technologies, electric vehicles, and charging infrastructure.
• Experience with version control systems (e.g., Git).

Experience/familiarity with any of the following is a plus:

• Familiarity with simulation software and tools (e.g., SimPy, MASON, Repast, Simulink, AnyLogic, SUMO).
• Simulation integration standards and frameworks (e.g., HELICS, HLA, DIS).
• High-performance communication technology (e.g., gRPC, MPI, ZeroMQ).

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 Institute of High Performance Computing (IHPC) was established in April 1998 to provide leadership in high performance computing as a strategic resource for scientific inquiry and industry development. Our mission is to advance science and technology, and develop leading edge applications through high performance computing and computational science.

We are looking for highly motivated individuals who are able to work independently and yet are good team players, possess excellent analytical, technical and problem-solving skills, good technical writing and presentation skills. If you share our interests in solving challenging scientific problems using computational science, mathematical methods and/or engineering techniques, we welcome you to apply for the following position.

SYSTEMS SCIENCE DEPARTMENT

Research Scientist (Urban Systems & Transportation modelling)

We are looking for researchers who are highly motivated with a passion for developing solutions relating to modelling and simulation of transportation and complex urban systems. The candidate will join a multidisciplinary team of scientists and engineers to develop next generation transport and urban R&D solutions, leveraging on advanced AI and digital twin technologies. The role is expected to work both internally and externally with collaborators/stakeholders from industry and government agencies.

Requirements

· PhD in Computer Science/Engineering/Computing/Information Systems/Civil Engineering or equivalent

· At least 5 years of experience

· Relevant experience/expertise in at least one of the following areas: Transport system modelling, Agent-based simulation, Geo-spatial analysis, Digital twin

· Strong interests in statistical modelling, optimization, AI

· Proficient in programming languages like Java, Python or C++

· Self-driven and motivated team player

· Curiosity and passion to learn new things

· Good written and verbal communication skills

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

The Institute of High Performance Computing (IHPC) was established in April 1998 to provide leadership in high performance computing as a strategic resource for scientific inquiry and industry development. Our mission is to advance science and technology, and develop leading-edge applications through high performance computing and computational science. We have long-term ties with industry partners, including multinational companies and local SMEs, which ensures that our R&D activities stay focused and relevant to real-world needs. We also have active cooperation with the world’s top academics and academic institutions.

Simulation Scientist:

We are looking for a simulation expert who will be part of the team developing a next-generation mobility simulation platform using an agent-based modelling approach. The platform is envisioned to be integrated with other modelling & simulation systems under a digital twin strategy. The responsibilities may include any of the following:

• Develop simulation modules for the agent-based simulator.
• Design and implement simulation scenarios.
• Develop behavioural rules for the simulation agents.
• Implement real-world dynamics including physical motion laws, power-flow, scheduling, and operational constraints as needed.
• Design, calibrate and validate simulation models.
• Optimise the performance of the simulation.
• Write research papers and present at conferences and communicate to project collaborators

Education and experience requirements:

• Ph.D. degree in a related discipline (transportation engineering, operations research, computer engineering/science, or related disciplines)
• At least 5 years of experience
• Strong interests and expertise in traffic simulation, statistical modeling, mathematical programming, reinforcement learning, and optimization
• Minimum of two years of experience in simulation development.

Technical skills:

• Strong proficiency in Java and Python programming languages.
• Familiarity with electrified mobility technologies, electric vehicles, and charging infrastructure.
• Experience with version control systems (e.g., Git).

Experience/familiarity with any of the following is a plus:

• Familiarity with simulation software and tools (e.g., SimPy, MASON, Repast, Simulink, AnyLogic, SUMO).
• Simulation integration standards and frameworks (e.g., HELICS, HLA, DIS).
• High-performance communication technology (e.g., gRPC, MPI, ZeroMQ).

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 Institute of High Performance Computing (IHPC) was established in April 1998 to provide leadership in high performance computing as a strategic resource for scientific inquiry and industry development. Our mission is to advance science and technology, and develop leading edge applications through high performance computing and computational science.

We are looking for highly motivated individuals who are able to work independently and yet are good team players, possess excellent analytical, technical and problem-solving skills, good technical writing and presentation skills. If you share our interests in solving challenging scientific problems using computational science, mathematical methods and/or engineering techniques, we welcome you to apply for the following position.

SYSTEMS SCIENCE DEPARTMENT

Research Scientist (Urban Systems & Transportation modelling)

We are looking for researchers who are highly motivated with a passion for developing solutions relating to modelling and simulation of transportation and complex urban systems. The candidate will join a multidisciplinary team of scientists and engineers to develop next generation transport and urban R&D solutions, leveraging on advanced AI and digital twin technologies. The role is expected to work both internally and externally with collaborators/stakeholders from industry and government agencies.

Requirements

· PhD in Computer Science/Engineering/Computing/Information Systems/Civil Engineering or equivalent

· At least 2 years of experience

· Relevant experience/expertise in at least one of the following areas: Transport system modelling, Agent-based simulation, Geo-spatial analysis, Digital twin

· Strong interests in statistical modelling, optimization, AI

· Proficient in programming languages like Java, Python or C++

· Self-driven and motivated team player

· Curiosity and passion to learn new things

· Good written and verbal communication skills

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

Cognita Schools are committed to safeguarding and promoting the welfare of children and young people and expects all staff, volunteers and other third parties to share this commitment. Safer recruitment practice and pre-employment background checks will be undertaken before any appointment is confirmed.

An exciting opportunity for a Secondary Computer Science Teacher has opened in AIS. If you are someone who is driven in making a positive difference and with passion for growth and development, this role is meant for you!

Position Requirements:

• IBDP/IGCSE and/or HSC experience preferred, but not essential
• Experience in an International School environment would be a distinct advantage
• Excellent communication skills, multi-tasking and time management
• Ability to work as a part of a team and an interest in participating in the wider school community

Qualifications:

• A minimum four year recognised teaching qualification including a Bachelor’s Degree and Postgraduate Teaching Diploma/University Qualification or a Bachelor of Education
• A minimum of 3 years Full Time teaching experience in a recognised educational institution ideal, however graduates may be considered

Further information about this position is available in the job description found in the AIS website at https://www.ais.com.sg/work-for-us-positions-vacant/

Applicants are required to read the job description for the role prior to applying and submit a cover letter, curriculum vitae and a duly completed copy of the School's Job Application Form (downloadable from the school's website) to the email address: [email protected] by 19 May 2024. Kindly ensure that the position title is clearly specified in the job application form.

Only applications submitted using the school's job application form will be considered.

Cognita Schools are committed to safeguarding and promoting the welfare of children and young people and expects all staff, volunteers and other third parties to share this commitment. Safer recruitment practice and pre-employment background checks will be undertaken before any appointment is confirmed.

An exciting opportunity for a Secondary Computer Science Teacher has opened in AIS. If you are someone who is driven in making a positive difference and with passion for growth and development, this role is meant for you!

Position Requirements:

• IBDP/IGCSE and/or HSC experience preferred, but not essential
• Experience in an International School environment would be a distinct advantage
• Excellent communication skills, multi-tasking and time management
• Ability to work as a part of a team and an interest in participating in the wider school community

Qualifications:

• A minimum four year recognised teaching qualification including a Bachelor’s Degree and Postgraduate Teaching Diploma/University Qualification or a Bachelor of Education
• A minimum of 3 years Full Time teaching experience in a recognised educational institution ideal, however graduates may be considered

Further information about this position is available in the job description found in the AIS website at https://www.ais.com.sg/work-for-us-positions-vacant/

Applicants are required to read the job description for the role prior to applying and submit a cover letter, curriculum vitae and a duly completed copy of the School's Job Application Form (downloadable from the school's website) to the email address: [email protected] by 19 May 2024. Kindly ensure that the position title is clearly specified in the job application form.

Only applications submitted using the school's job application form will be considered.

The Government Technology Agency (GovTech) is the lead agency driving Singapore’s Smart Nation initiatives and public sector digital transformation. As the Centre of Excellence for Infocomm Technology and Smart Systems (ICT & SS), GovTech develops the Singapore Government’s capabilities in Data Science & Artificial Intelligence, Application Development, Smart City Technology, Digital Infrastructure, and Cybersecurity.

At GovTech, we offer you a purposeful career to make lives better. We empower our people to master their craft through continuous and robust learning and development opportunities all year round. Our GovTechies embody our Agile, Bold and Collaborative values to deliver impactful solutions.

GovTech aims to transform the delivery of Government digital services by taking an "outside-in" view, putting citizens and businesses at the heart of everything we do.

Play a part in Singapore’s vision to build a Smart Nation and embark on your meaningful journey to build tech for public good. Join us to advance our mission and shape your future with us today!

Learn more about GovTech at tech.gov.sg

About us – National Digital Identity (NDI)

Imagine citizens having a common and secure digital identity that will make their lives so much easier, and open doors to a plethora of services for them - allowing citizens to do everything from accessing health prescriptions, completing government transactions to starting a bank account through their smartphone.

The Singpass team builds Singapore’s digital identity system. This includes various personal authentication protocols, data sharing tools, and corporate identity systems through Corppass. The mission of the Anti-Fraud team is to minimize the number of compromised Singpass accounts, and the damage done with them. This includes live monitoring for suspicious login behaviour, longer term fraud analytics, and collaborating with partners take action on compromised accounts.

What you will be working on:

• Work with partners to understand the evolving problems and strategize about what data and techniques would be needed to solve them.
• Lead discussions with business stakeholders to establish business requirements, evaluate technical feasibility and data availability required.
• Work with large, complex datasets and applying advanced analytical methods to build machine learning models and deploy the most appropriate solution.
• Build and develop machine learning-based models e.g. recommendation engine(s), predictive models and track their effectiveness.
• Apply the use of machine learning techniques (e.g. deep learning, neural networks, etc..) to improve the current analytics capability.
• Provide inputs to the design and development of an integrated data model to allow analysis across multiple structured and unstructured datasets.
• Build and operate production systems together with engineers to serve these solutions.
• Share your expertise and mentor other data scientists.

What we are looking for:

• Possess strong analytical, conceptualisation, and problem-solving skills. Able to take broad, strategic perspectives, and when necessary, drill deep to understand business needs and challenges.
• Familiar with machine learning models for forecasting, classification, and recommendations.
• Strong in statistical programming tools (e.g. R, Python) and database languages (e.g. SQL)
• Experience in leading a data science team.
• Have excellent oral and written communication skills, along with the ability to pitch ideas and influence stakeholders at all levels on the adoption of analytics.
• Able to present technical concepts and results of technical analyses to non-technical audience effectively.
• Adaptable to dynamic operating contexts and able to work with multiple stakeholders across different teams.
• Strong people manager who can inspire, motivate, and grow the team and has strong organisation skills.
• Have passion for improving public service using analytics and data.

We are an equal opportunity employer and value diversity at our company as we believe that diversity is meaningful to innovation. Our employee benefits are based on a total rewards approach, offering a holistic and market-competitive suite of perks. This includes generous leave benefits to meet your work-life needs. We trust that you will get the job done wherever you are, and whatever works best for you – so work from home or take a break to exercise if you need to*.

We also believe it’s important for you to keep honing your craft in the constantly-evolving tech landscape, so we provide and support a plethora of in-house and external learning and development opportunities all year round.

*Subject to the nature of your job role that might require you to be onsite during fixed hours

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.

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.

Assistant/Associate Professor

DEPARTMENT OF COMPUTER SCIENCE

Location: 510 Dover Road, Singapore

Description: Full-time Assistant Professor in Department of Computer Science, DigiPen Institute of Technology Singapore. We expect to make an appointment at the Assistant Professor Level or higher, commensurate with the candidate’s academic credentials and prior experience.

Responsibilities:

• While teaching some combination of the above subjects as determined by the selected candidate's unique synthesis of interests, he/she is also expected to teach general computer science subjects (such as operating systems, data structures, design and analysis of algorithms) at the university level. Other responsibilities include academic advising, undergraduate research advising, curriculum development, institutional service and appropriate scholarly activity.

Education and Experience Qualifications:

• PhD degree in Computer Science, Computer Engineering, or a closely related field.
• At least 4 years of industry or research experience in the field of study or a closely related area.
• Strong background in one or more following areas: C/C++ programming, Computer Graphics, Computer Architectures, Parallel Processing, Computer Networks, VR/AR, Computer Vision, Data Analysis, Distributed Computation, Cyber Security.
• Work/Teaching experience or exposure to one or more following areas: game/interactive-simulation, AI, machine learning, computer vision, data science, image processing, etc.
• 2D/3D graphic programming (OpenGL or DirectX) is an added advantage.
• A commitment to teaching excellence and scholarship is also expected.

Starting Date: Immediate

Salary: Salary is competitive and commensurate with experience and education.

Application: Review of applications will begin immediately and continue until the position is filled. For a complete application, please email a letter of interest, curriculum vitae, and statement of teaching philosophy, transcript of highest degree earned, and three letters of recommendation.

Electronic submission is required with documents in either Word or PDF format attached to an email and sent to:

Email: [email protected] with subject line “Full-time Faculty of Computer Science”.

As a member of #TeamPSA, you will be part of a diverse and global team at the forefront of creating cargo solutions to enable more agile, resilient and sustainable supply chains. Experience first-hand and drive supply chain transformation from Singapore and through PSA’s global network of ports, logistics and supply chain solutions. Alongside, we can move the world!

• Develop Your Potential: We emphasise and offer exciting rotations, learning and development opportunities, which will fuel your career aspirations and complement your business exposure across our global network.
• Diverse, Equal Opportunity: We build a sustainable work culture where all our people feel welcome, valued, respected and able to express their ideas and beliefs freely. We believe that diversity of thought and approaches in our workplace makes us stronger as a team.
• Competitive Compensation & Benefits: We are committed to recognising and rewarding your contributions to the business. Our benefits packages aim to improve your quality of life by providing support for medical, dental, recreation, among others.

This role will be an integral part of the PSA Group Data For Excellence (DFE) team which drives and promotes the application of data science and AI/ML solutions to PSA businesses globally.

Job Description

• Create value through developing data analytics solutions that supports PSA global objectives as well as local business requirements.
• Proactively work with key internal customers associated with new and existing business initiatives to understand, shape, agree and deliver on their data analytics requirements.
• Responsible for ideation, design, development and deployment of data analytics solutions, descriptive to prescriptive based on the requirements.
• Select features, build and optimize classifiers using machine learning techniques from large and diverse datasets.
• Analyse high-volume, high-dimensionality and high-volatility structured and/or unstructured data to obtain business insights and recommendations using statistical techniques and PSA Data Analytics Platform
• Work and collaborate with data science and data engineering team at all stages of CRISP-DM Methodology
• Align to PSA data policy, data governance standards and best practices and document as required

Skills Requirements

• Expertise in Python programming language, in-depth knowledge of AI/ML libraries/techniques and knowledge in statistical methods useful to develop data analytic solutions for a diverse range of use-cases.
• Experience in one of the visualisation tools, preferably Power BI and experience in building data models/cubes using SSAS or Azure Analysis Services
• Full development lifecycle experience for the data analytics solutions such as business & data understanding, data preparation, model development, visualization, validation and deployment.
• Experience in developing AI/ML models in supervised, unsupervised and reinforcement machine learning techniques for a variety of data analytics problems.
• Ability to learn and apply open source data science technologies on large datasets to explore, experiment and generate new insights and develop innovative solutions.
• A good degree in Computer Science, Statistics, Data Management, Engineering and /or Masters in Business Analytics or a related field.
• Effective communicator who can work with diverse stakeholders to define requirements, refine data analytics use cases and present the data insights.
• Strong interpersonal and presentation skills and ability to manage cross cultural differences and sensitivities.

Experience

• At least 4 years of experience as a data science analyst or data scientist in developing data analytics solutions as well as working in a data science team.

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 selected candidates will be assigned to teach tutorials for specific modules for undergraduates. They will be guided by the module coordinators or instructors.

Responsibilities:

• Participate in regular meetings with the module coordinators and other TAs
• Support class management and administration
• Conduct tutorials or lab sessions
• Assist in setting up tutorial and assessment questions
• Marking of course assignments

Requirements:

• A good honours degree or Master’s degree in a relevant discipline from a reputable university (e.g., Computing/Engineering)
• Possesses excellent verbal and written communication skills and be able to effectively facilitate learning for undergraduate students
• Strong interest in teaching and preferably with proven teaching experience (especially at the tertiary level)

Interested applicants are invited to apply directly at the NUS Career Portal.

Your application will be processed only if you apply via NUS Career Portal.

We regret that only shortlisted candidates will be notified.

Job Description

The Data Manager in this role is responsible for supporting principal clinical investigators in the field of haematologic malignancies, specifically myeloma, stem cell transplantation, and cellular therapy. The primary focus involves both prospective and retrospective data collection for patients. The Data Manager plays a pivotal role in entering this data into databases and ensuring the integrity and accuracy of the information.

In addition to direct data management, the position involves active participation in research studies. This includes collecting data from patients enrolled in these studies and maintaining the databases associated with each project. The Data Manager contributes to the overall quality and success of the research initiatives by facilitating smooth data workflows. Furthermore, the role extends to providing necessary data for conference presentations, emphasizing the importance of disseminating research findings to the scientific community. The Data Manager also takes on the responsibility of maintaining up-to-date study status information by submitting essential documents and data to regulatory bodies, such as the Domain Specific Review Board (DSRB) and other relevant registries.

In summary, the Data Manager serves as a key collaborator in clinical research efforts, ensuring the comprehensive and accurate management of data related to haematologic malignancies. This role encompasses various tasks from data collection and entry to study maintenance, regulatory compliance, and support for conference presentations.

Duties and Responsibilities

Primary Responsibilities and Duties (80%)

1. Collect Clinical Data for Research Studies:Ensure proper consent is obtained from patients enrolled in research studies.
   Collect clinical data from various reports and clinical notes for accurate data entry.
   
2. Maintain Stem Cell Transplant (SCT) Research Studies Database:Regularly update and maintain the database for stem cell transplant (SCT) research studies.
   Assist Clinical Research Coordinator(s) in creating and maintaining site files.
   
3. Manage Study Status Updates:Submit necessary documents to the Domain Specific Review Board (DSRB) to maintain study status updates.
   Assist Principal Investigator (PI) in preparing research study protocols and document submissions to DSRB.
   
4. Coordinate Data-Related Clinical Research:Act as the main coordinator for data-related aspects of clinical research projects.
   
5. Data Extraction and Reporting:Extract data for analysis and generate reports for publication, conferences, or presentations.
   Provide required data to the Principal Investigator (PI) for conference presentations.
   

Secondary Responsibilities and Duties (20%)

1. Analysis and Report Writing Support:Assist with data analysis and contribute to report writing for research projects.
   
2. Support Value Driven Outcome (VDO) Projects:Work collaboratively with the Value Driven Outcome (VDO) team.
   Provide data required by the VDO team within given timelines.
   
3. Ad-Hoc Research Duties:Complete other ad-hoc research duties assigned by the Research Officer (RO) or Principal Investigator (PI) within specified timeframes.
   

Requirements

Qualification Required and Area of Discipline:

• Bachelor's degree in Biomedical Sciences/Biological Sciences or its equivalent.

Required Competencies and Capabilities:

1. Experience:Preferably has 3-5 years of experience in data management.
   Experience in Stem Cell Transplantation and/or cellular therapy.
   Experience in Haematology and/or Oncology related jobs.
   
2. Technical Skills:Proficient in word processing applications such as Microsoft Word, Excel, and PowerPoint.
   Statistics skills for data analysis.
   
3. Interpersonal Skills:Strong interpersonal skills.
   Ability to work effectively as part of a team.
   
4. Critical Thinking:Critical thinking skills for problem-solving and decision-making.
   
5. Learning and Adaptability:Willingness to learn complex medical science concepts and methodologies.
   Ability to adapt to evolving medical and research environments.
   
6. Self-Motivation:Self-motivated with the ability to work independently.
   

Assistant/Associate Professor

DEPARTMENT OF COMPUTER SCIENCE

Location: 510 Dover Road, Singapore

Description: Full-time Assistant Professor in Department of Computer Science, DigiPen Institute of Technology Singapore. We expect to make an appointment at the Assistant Professor Level or higher, commensurate with the candidate’s academic credentials and prior experience.

Responsibilities:

• While teaching some combination of the above subjects as determined by the selected candidate's unique synthesis of interests, he/she is also expected to teach general computer science subjects (such as operating systems, data structures, design and analysis of algorithms) at the university level. Other responsibilities include academic advising, undergraduate research advising, curriculum development, institutional service and appropriate scholarly activity.

Education and Experience Qualifications:

• PhD degree in Computer Science, Computer Engineering, or a closely related field.
• At least 4 years of industry or research experience in the field of study or a closely related area.
• Strong background in one or more following areas: C/C++ programming, Computer Graphics, Computer Architectures, Parallel Processing, Computer Networks, VR/AR, Computer Vision, Data Analysis, Distributed Computation, Cyber Security.
• Work/Teaching experience or exposure to one or more following areas: game/interactive-simulation, AI, machine learning, computer vision, data science, image processing, etc.
• 2D/3D graphic programming (OpenGL or DirectX) is an added advantage.
• A commitment to teaching excellence and scholarship is also expected.

Starting Date: Immediate

Salary: Salary is competitive and commensurate with experience and education.

Application: Review of applications will begin immediately and continue until the position is filled. For a complete application, please email a letter of interest, curriculum vitae, and statement of teaching philosophy, transcript of highest degree earned, and three letters of recommendation.

Electronic submission is required with documents in either Word or PDF format attached to an email and sent to:

Email: [email protected] with subject line “Full-time Faculty of Computer Science”.

Cognita, in partnership with Brighton College, is seeking an inspirational Head of Science (Senior School) to start in August 2024. The successful candidate will take a lead on all aspects of science provision at Key Stage 3 and above, as Brighton College (Singapore) expands from a first-class Prep School to one of the region’s leading all-through schools (from Pre-Nursery to Year 13).

This is an exciting opportunity for an educationalist to help shape the development of a secondary curriculum that will provide the platform needed for pupils to go on to some of the world’s leading universities. The successful candidate will be instrumental in ensuring that the educational offering aligns with the Brighton College commitment to building a world-class academic institution, distinctive in its own right, but with the Brighton College DNA at its core. They will be able to demonstrate the passion, expertise and ambition to take ownership of all aspects of the pupil experience of science teaching at secondary level.

The Head of Science will report to the Deputy Head Academic. They will be responsible for the pedagogical leadership of the science curriculum, and for ensuring that teaching excellence is embedded throughout all Key Stages. In August 2024, the Senior School at Brighton College (Singapore) will open with Years 7, 8 and 9. The Head of Science will teach across all Key Stage 3 year groups, and will be expected lead the teaching and learning at IGCSE and beyond as the school expands upwards from August 2025. The successful candidate will be able to teach at least one of the three main sciences (biology, chemistry or physics) to GCSE/IGCSE and A-level, and should be able to demonstrate a strong track record of delivering top academic results in public exams in previous roles.

This opportunity represents a career-defining, professional challenge for either a current or aspiring Middle Leader, who is excited by the opportunity of growing a new department and developing an innovative and intellectually stimulating curriculum across all three science disciplines. As with all Brighton College teaching posts, the successful candidate will share our aim of developing well-educated, respectful, and curious young men and women ready to take a full, active and positive role in the world.share our aim of developing well-educated, respectful, and curious young men and women ready to take a full, active and positive role in the world.

Key Responsibilities

• Take responsibility for the teaching, progress and attainment of all pupils in Years 7 to 9 from August 2024, and for all other senior year groups in the following years.
• Lead on all aspects of curriculum planning and delivery, including preparation for the first IGCSE Year 10 cohort starting in August 2025.
• Line manage all other science specialists in the Senior School (both teachers and lab technicians).
• Promote excellence, creativity and innovation in all areas of the science curriculum.
• Demonstrate commitment to continuous professional development.
• Lead on all aspects of assessment, tracking and reporting for science.
• Demonstrate the experience and ability to teach one of the three sciences (biology, chemistry or physics) across all relevant Key Stages (including IGCSE/GCSE and A-level). The ability and enthusiasm for teaching a second science subject to at least Year 9 would be an advantage.
• Act as an outstanding classroom practitioner, with the ability to lead by example.
• Devise and implement rigorous self-evaluation processes.
• Devise and oversee the department’s extension and enrichment programme.
• Demonstrate the experience and expertise needed to support pupils in future years with applications to leading universities, including Oxford and Cambridge and other world-class universities.
• Ensure pupils have opportunities to prepare for, and participate in, global science competitions and Olympiads, providing appropriate stretch and challenge.
• Work closely with the Heads of EAL and AEN to develop pathways for pupils requiring additional support.
• Work with the Prep School science specialists and senior leaders to manage a smooth transition from Year 6 to Year 7.
• Develop the required curriculum and department documentation, both for current and prospective parents.
• Contribute to the highest standards of safeguarding and to the school’s pastoral system, acting as a tutor for a Senior School year group.
• Contribute to the co-curricular life of the school.
• Any other reasonable management request.

Qualifications and Experience

• Bachelor’s degree in a science subject (or any other specialism related to science) with PGCE or equivalent.
• Expert knowledge or experience of successfully delivering GCSEs/IGCSEs and A-level.
• Proven track record of middle leadership (preferred but not essential).
• International experience (preferred but not essential)
• Exemplifies the Brighton College (Singapore) values of Curiosity, Confidence and Kindness.
• An international outlook and understanding of working in diverse environments.

SAFEGUARDING AND EQUAL OPPORTUNITIES

Brighton College is committed to safeguarding and promoting the welfare of children and young people and expects all staff and volunteers to share this commitment. Any offer of employment will be subject to an enhanced DBS disclosure, / international Police checks, the receipt of satisfactory references, the College’s pre-employment medical question, relevant original ID documentation and examination certificates. The College understands that a robust, fair and transparent recruitment and selection policy plays a central role in achieving this aim.

The College is committed to ensuring that the recruitment and selection of staff is conducted in a manner that is systematic, efficient and effective and promotes equality of opportunity.

The College reserves the right to appoint a candidate to the role in advance of any deadline date, in the event that a suitable candidate can be appointed.

© Brighton College (Singapore) Pte Ltd

CPE Registration Number: 201904884D