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

(1) Design and Synthesis of electrocatalyst for oxygen evolution reaction of water electrolysis.
(2) Structure characterization and simulation of the obtained electrocatalysts.
(3) Performance test and mechanism study of the obtained electrocatalysts.

Qualifications

Master degree in MSE, Chemistry or other relevant majors.

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

A senior post-doctoral position with more than 3 years post Ph.D experience in Biomedical research. Candidate should ideally have cancer biology background with expertise in mitochondrial biology and cellular apoptosis. A suitable and successful candidate will be given the responsibility to design and conduct experiments with specific abilities in cell death and apoptosis using various quantitative and functional assays. The candidate should be available to commence as soon as possible.

Qualifications

• Previous experience in functional genomics/precision oncology approaches to work on resistant models of lung cancers to identify mechanism(s) of resistance in resistant models of lung cancers.
• Experience with the development of functional assays for phenotypic screening, involving the use of high-throughput flow cytometry, high-content drug screening, and large scale data analysis.
• Willingness to pick up mentorship position for Ph.D students and junior members.
• Previous experience with handling and analysing human clinical samples will be preferred.
• A Ph.D in cancer biology (>3 years)
• Strong track record of research achievement supported by high-quality publications in relevant field (BCL-2 and cell death biology).
• Skills in hands-on use of relevant research methods.
• Able to work independently, with strong problem-solving ability.
• Effective communication and presentation skills, with a strong track record of presentations at international conferences.

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.

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 Year 6 English/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 Teaching Diploma 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

Note: This salary range is for Step 1 to 7

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]. 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 Year 6 English/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 Teaching Diploma 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

Note: This salary range is for Step 8 to 15

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]. 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.

Role and Responsibilities

• To carry out in vitro or in vivo research on tocotrienols/phytonutrients/oleochemicals for various human health applications;
• To conduct human clinical trials in collaboration with Key Opinion Leaders (KOLs);
• Publish scientific manuscripts in international journals;
• Work closely with fellow researchers in the R&D for effective project implementation;
• Make presentation on projects within and outside the company;
• Perform routine maintenance of laboratory equipment;
• Perform inventory update for laboratory consumables and trial materials;
• Perform general maintenance of the lab facilities;
• To build up in-house database of research results of tocotrienols and other necessary products;
• Any other tasks/projects as assigned to you by the Head of Biological Research from time to time.

Job Success Requirements

• Master or Ph.D. in Biology/Biological Sciences/Biomedical Sciences or equivalents with at least 3 to 5 years working experience
• Have extensive bench work experience in biological research in mammalian cell culture, genomic & proteomic analysis. The lab techniques require including qPCR, cDNA microarray, western blotting, ELISA assay, flow cytometry, fluorescence imaging;
• Preferably the candidate has knowledge and prior experience in clinical trial management and coordination;
• Proven publication record in international scientific peer-reviewed journals;
• Excellent problem-solving skills and uses data to generate ideas and develop solutions;
• Have thorough understanding & fundamental concepts in biology and pharmacology for experimental troubleshooting & optimization;
• Be highly motivate, independent and present strong interest in a fast-paced environment;
• Competent in Microsoft Office, bibliography software (Endnote or Mendeley), GraphPad Prism, SPSS or other analytical tools.
• Proficient in both spoken and written English

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”.

Role and Responsibilities

• To carry out in vitro research on tocotrienols/phytonutrients/oleochemicals for various human health applications;
• To conduct human clinical trials with institutions;
• Publish scientific manuscripts in international journals;
• Work closely with fellow researchers in the R&D for effective project implementation;
• Make presentation on projects within and outside the company;
• Perform routine maintenance of laboratory equipment;
• Perform inventory update for laboratory consumables and trial materials;
• Perform general maintenance of the lab facilities;
• To build up in-house database of research results of tocotrienols and other necessary products;
• Any other tasks/projects as assigned to you by the Head of Biological Research from time to time.

Job Success Requirements

• B.Sc or Master in Biology/Biological Sciences/Biomedical Sciences or equivalents with at least 3 to 5 years working experience
• Have extensive bench work experience in biological research in mammalian cell culture, genomic & proteomic analysis. The lab techniques require including qPCR, cDNA microarray, western blotting, ELISA assay, flow cytometry, fluorescence imaging;
• Preferably the candidate has knowledge and prior experience in clinical trial management and coordination;
• Proven publication record in international scientific peer-reviewed journals;
• Excellent problem-solving skills and uses data to generate ideas and develop solutions;
• Have thorough understanding & fundamental concepts in biology and pharmacology for experimental troubleshooting & optimization;
• Be highly motivate, independent and present strong interest in a fast-paced environment;
• Competent in Microsoft Office, bibliography software (Endnote or Mendeley), GraphPad Prism, SPSS or other analytical tools.
• Proficient in both spoken and written English

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

• Working on numerical modelling of weather and climate using high resolution climate models.
• Parameterization/Optimization of the climate models
• Working on Supercomputing platforms/Linux platforms for Numerical Weather Prediction and Climate Modelling
• Data processing and data analyses
• Data visualization
• Publishing research in peer reviewed journals
• Presentation of research in workshops/conferences

Qualifications

• A PhD in Climate/Atmospheric Sciences
• Good knowledge of tropical meteorology and atmospheric dynamics
• Experience in Numerical modelling with the WRF model
• Experience in handling supercomputing platforms
• Knowledge of Unix systems
• Expertise in programming languages such as NCL, GrADS, Python
• Expertise in shell scripting

Teacher of Secondary Science (Physics, Chemistry, Biology, ESS)

An outstanding and inspirational Science Teacher is required for August 2024 due to growth in the Secondary School. A desire to teach through Years 7 to 13 is essential and the ability to teach IGCSE Science and your specialist subject (Biology, Physics, Chemistry or ESS) at IB Diploma at both SL and HL. Candidates with IB Diploma experience are particularly welcome to apply.

The successful candidate will be passionate about driving high quality teaching and learning in an inclusive school and committed to making a difference to the lives of the young people in their care. They will be a reflective practitioner and an effective collaborator, relentless in the pursuit of ‘better’ practice. Staff contribute to our pastoral care and well-being programme and to our co-curricular programme, making a full contribution to our vibrant community. A pastoral leadership role may be available, so candidates are strongly advised to indicate interest in applications.

We are an inclusive international school committed to ‘success for all’, offering diverse programmes to meet the needs of our learners.

The successful candidate will be passionate about learning and committed to making a difference to the lives of the young people in their care. They will be a reflective practitioner and an effective collaborator, relentless in the pursuit of ‘better’ practice.

We are a school with a strong sense of community amongst staff and students. Staff contribute to our pastoral care and well-being programme and to our co-curricular programme, making a full contribution to our vibrant community.

Safeguarding

At Nord Anglia Education we are committed to providing a world class, safe, happy environment in which children and young people are able to thrive and learn. We are committed to safeguarding and promoting the welfare of all our students irrespective of race, ability, religion, gender or culture.

All post holders in regulated activity (having regular unsupervised contact with children) are subject to appropriate national and international vetting procedures including satisfactory criminal record checks from both your country of residence/birth and any country of residence within the last 10 years.

Project Overview

The Singapore-MIT Alliance for Research and Technology (SMART) Centre invites applications for Postdoctoral Associate positions in the area of crystallization science and particle engineering. The successful candidate will be expected to work on the design and engineering of advanced microparticle-based pharmaceutical drug products comprising soft (polymer/hydrogel) matrices containing crystalline drug particles, typically made using microfluidic methods. This work will be conducted in close collaboration with a consortium of pharmaceutical companies (GSK, Merck and Pfizer). He/she will be reporting to Prof. Patrick S. Doyle (MIT, SMART) and Prof Saif A. Khan (NUS, SMART) and work with their team of researchers and collaborators.

Responsibilities

Successful candidates will be working closely with CAMP researchers and industry collaborators to develop a high-throuhgput process to manufacture engineered particles.

Principal duties are

• Generate various pharmecutical particles using microfluidics devices.

• Perform appropriate analysises to characterize the engineered particles.

• Perform materials testing experiments.

• Understand a process scale-up in order to translate the technology into an industrial domain.

• Prepare reports for industrial sponors.

Requirements

• PhD degree in chemical/materials engineering or related fields.
• Experience in crystalization science, materials characterizatino, microfluidics, drug product formulation/delivery.
• Ability to supervise junior members of the team.
• Ability to work as a team and collaborate with industrial and academic collaborators.
• Excellent in communication, both written and oral in English.

Teacher of Computer Science

An outstanding and inspirational Teacher is required for August 2024.

We seek an experienced Computer Science Teacher able to teach Computer Science at IGCSE and IB Diploma level. The ability to teach Business qualifications (IGCSE or BTEC) in Key Stage 4 would be an advantage. With the development of educational technology to enhance learning as a key goal, it is an exciting time to join the school. We are an inclusive international school committed to ‘success for all’, offering diverse programmes to meet the needs of our learners.

The successful candidate will be passionate about learning and committed to making a difference to the lives of the young people in their care.

They will be a reflective practitioner and an effective collaborator, relentless in the pursuit of ‘better’ practice. We are a school with a strong sense of community amongst staff and students. Staff contribute to our pastoral care and well-being programme and to our co-curricular programme, making a full contribution to our vibrant community.

Safeguarding

At Nord Anglia Education we are committed to providing a world class, safe, happy environment in which children and young people are able to thrive and learn. We are committed to safeguarding and promoting the welfare of all our students irrespective of race, ability, religion, gender or culture.

All post holders in regulated activity (having regular unsupervised contact with children) are subject to appropriate national and international vetting procedures including satisfactory criminal record checks from both your country of residence/birth and any country of residence within the last 10 years.

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 intends to hire tenure-track faculty members whose expertise is in Statistics and Data Science. The positions can be at any level. A PhD in statistics or a related field is required.

Applicants should send an application letter, a CV, a research statement and a teaching statement and arrange for at least three reference letters to be sent directly to the Department of Statistics and Data Science.

Qualifications

• A PhD in statistics or a related field is required.

The Academic Instructor is required to teach the courses in the undergraduate programs offered by the University at Buffalo, The States University of New York, US, in partnership with Singapore Institute of Management.

The roles would include:

• Creation of course design and materials, and implementation of syllabus to meet UB learning objectives;
• Delivery of student-centered, interactive course curriculum, including supervision of project work;
• Create, administer, and mark assessment instruments;
• Evaluate student progress and achievements;
• Hold regular consultation hours;
• Maintain and submit academic records.

Job Requirements:

• A Ph.D or Master's Degree in the exact discipline as specified by the teaching assignment from a nationally or regionally (USA) accredited university is required;
• Terminal degree is preferred;
• At least 2 years of relevant full-time teaching experience in the exact discipline as specified by the teaching assignment at the tertiary level is required;
• Ability independently operate all class level functions of Blackboard classroom management system, including Grade Center, is required;
• Substantial evidence of an active academic research agenda and recent history of publication(s) in peer-reviewed scholarly journal(s) are strongly preferred;
• 5 years of relevant work experience will be an advantage;
• Available to teach during day time on weekdays

Note:

• Only short-listed candidates who meet the specified requirements will be notified.
• Remuneration varies based on the number of classes concluded.

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 CareerPortal.

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 Department of Statistics and Data Science at the National University of Singapore invites applications for Departmental Postdoc Positions. These non-tenure track positions are aimed at early-career researchers, particularly recent or soon-to-be Ph.D. graduates, with research interests that overlap or complement those of our faculty members.

The Department of Statistics and Data Science is one of the leading departments of its kind in Asia and globally. Comprising close to 40 full-time faculty members and around 70 research staff and PhD students, along with a strong network of industry affiliates, the department fosters a comprehensive and engaging research and educational environment in the areas of statistics and data science.

The postdoctoral positions offer an initial two-year appointment with the potential for a one-year extension. Successful candidates will receive a competitive annual salary of up to SGD90,000, along with generous travel support. Additionally, candidates will be provided with relocation and housing allowance. Teaching responsibilities involve two courses per year.

Qualifications

• Qualifications / Discipline: PhD in Statistics, Data Science, Mathematics or other relevant discipline
• Skills: Able to do independent research.
• Experience: Research experience in statistics, data science, mathematics or other relevant discipline

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 mission of the Centre is to improve population health and well-being by accelerating the use of behavioural and implementation science in health policy and practice.

We are looking for an individual who is passionate about improving health and well-being for everyone, through approaches that bridge research, community and government.

Responsibilities include:

• Work hand-in-hand with Directors, Principal Investigators and Visiting Professors, to develop strategy that meets overall research, translation, implementation and education objectives of the Centre.
• Establish an independent research agenda through collaborations with health institutions, government agencies and private sector through internal or extramural funding
• Represent a core part of the leadership team for programs on public policy and research implementation and for outreach to professional bodies
• Oversee implementation of education activities of the Centre for Behavioural and Implementation Science Interventions (BISI) under NUSMed.
• Oversee research and education staff supervision and mentorship

Qualifications

• An advanced degree in behavioral science, Biomedical science, psychology and other related disciplines
• At least 8 years working experience, with 3 – 5 years of this time previously committed to work in the science or health sector interface with policy, implementation, public administration and government.
• Prior demonstrated leadership and managerial expertise is essential, as this role requires the candidate to build team capacity and expertise in a growing field
• Excellent written and verbal communication skills in English
• Ability to manage multiple, diverse stakeholders, and communicate effectively
• An analytical mind with experience in program design and management (e.g. assessing evidence, proposals) in the public sector, and the ability to package and communicate information effectively

· Position: Junior Indoor Sales Officer

· Location: Loyang Walk (company transport provided)

· Working hours: Monday to Friday (9am - 6.15pm) & once a month Saturday (9am - 12pm)

· Salary (commensurate with experience): Up to $3,500 + Daily Meals Provided + Performance Bonus

· Duration: Permanent

· Industry: Manufacturer

Main Responsibilities:

· Follow up on behalf of MD for new customers enquiries & follow through on order confirmation

· Communicating with customers, making outbound calls to potential customers, and following up on leads as provided by MD

· Handle potential customers' enquiries and gather feedbacks/comments on product samples and direct to relevant departments

· Generate sales report & quotations

· Co-ordinate and handle admin for specific export shipments

· Any other ad-hoc task as assigned by the MD

Requirements:

Bilingual in English and Mandarin to liaise with Chinese clients who can converse in Mandarin only

Ability to manage multiple tasks simultaneously

Minimum Diploma, Food Science or related

At least 1 year of relevant experience

Email to: [email protected] for more information.

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***We do not charge our candidates any referral fee nor bind them with any contract.***

Abby Pang

Associate Consulting Director (APAC)

Reg no.: R2093867

EA No: 13C6684

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

Applicant is invited for a Research Fellow position in the Centre for Biomedical Materials Applications & Technology (BIOMAT), to work on an industry research project.

Qualifications

• Applicant should possess a Ph.D Degree in Engineering or Materials Science, preferably with a background experience / knowledge in materials and material characterisation.
• Ability to work independently, good team-working and communication skills are essential.

Job Description

The National University of Singapore intends to hire a Visiting Full Professor whose research focus is in statistics and data science.

The applicant should have demonstrated excellence in research, teaching and service.

Qualifications

Currently a Professor in Statistics or Data Science at a reputable university.

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.

More Information

Location: Kent Ridge Campus

Organization: Science

Department : Statistics and Data Science

Employee Referral Eligible: No

Job requisition ID : 23752

Responsibilities:

• Define strategy and implement the plan to coordinate and aggregate demand across all Public Healthcare Institution (PHI) through internal and external forums.
• Scan industry and landscape for promising new areas in AI solutions based on MOH’s defined strategic objectives & thematic areas
• Engage users on new tech & pilot explorations, and manage the pilot lifecycle.
• Work with multiple stakeholders to identify, scope and support the implementation of POC, POV, pilot innovation projects, and manage and track life-cycle of innovation projects at each of the Explore, MVP, POC, POV and Scaling stage.
• Share knowledge and information on use cases and work with the funding agencies to identify and evaluate collaborators/providers that offer potential solutions that best suit the needs of users.
• Coordinate and communicate with the funding agencies (if applicable) whose investment and grant objectives are relevant to the potential solution at the POC or MVP stages.
• Participate as internal review and/or evaluation panelists during the screening and selection process as deemed appropriate by department/division.
• Manage AI and tech programmes, track and report to senior management / programme office and retain engagement with the stakeholders throughout the innovation life cycle.

Requirements / Qualifications

• Preferably 10 years’ experience and have hands-on experience in project management, client management of medium to large-scale projects, including innovation projects.
• Strong interpersonal skills with the ability to work with different groups of stakeholders.
• Possess leadership qualities.
• Experience in the healthcare industry or experience in developing different types of incubation programs for startups would also be an added advantage.
• Degree in Computer Science, Computer Engineering, Data Science or equivalent.