Basic Salary: $3000 - $3500
Working Hours: 44hrs / week
Working Location: Farrer Park

Job Requirements

• Diploma or higher in Math or Science.
• Minimum of 2 years of teaching experience with primary school students.
• Able to teach primary school subjects (Preferably Both Math & Science)

Job Responsibilities:

• Implement the program for the class in accordance with the policies, guidelines, framework and philosophy of the centre.
• Guide primary school children (primary 1 to 6) to ensure completion of daily homework
• Keep accurate records of children’s progress and address each child’s educational and developmental needs on an individual basis to the best of your ability.
• Responsible for the preparation and upkeep of teaching resources, arrangement, appearance and learning environment of the classroom.
• Maintain and build relationships with children and parents.
• Conduct franchise unique enrichment programmes.
• Being an inspiring role model with a creative spirit and a champion (positive) mindset.
• Ensure safety and timely transfer of students from school to student centre
• Ensure safety of children within the premises
• Any other ad-hoc duties as delegated by Centre Director

Chin See Min Reg No. : R22107450

The Supreme HR Advisory Pte Ltd EA No. : 14C7279

Compliance Document Support Associates

• Working Days: 5 Days [Monday - Friday]
• Working Hours: 8.30am - 5.30pm
• Salary: $2600-$3500
• Location: Clarke Quay

Requirements:

• Diploma in Food Science & Technology, Chemistry and other science-related fields
• Preferably 1 year working experience
• Able to travel locally.

Summary:

Compliance Document Support Associates support the operations and services across its areas of expertise namely, Halal Conversion and Management, Training and Inspection/Audits. The role is exciting and varied, with a combination of on-the-job and classroom learning, hands-on delivery and client facing experiences from day-one. The position also have a central role to play in services development.

Responsibilities:

• Organise & maintain files and records (electronically & in hardcopies)
• Prepare & process documents for timely submission to the relevant authorities.
• Continuous engagement or communication with client & authorities, necessary to the applications
• Assist trainers to prepare and organize training sessions
• Partner with Consultants to review, resolve, research & respond to client inquiries and issues as well as to ensure operational tasks are completed
• Partner with Consultants and Compliance Officer to plan and execute audit schedules at clients premises.
• Provide follow-up of audit reports and timely and accurate reviews of client corrective action and closure
• Provide administrative assistance to the Consultants

Chew Xing Shan Reg No: R22107044

The Supreme HR Advisory Pte Ltd EA No: 14C7279

WhatsApp: +65 83592812 [Shannon]

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.

Job Responsibilities:-

· To prepare apparatus and set-ups and render help to teachers during Science Experiments in the laboratory.

· Assisting teachers in the labs during Science lessons

· To maintain cleanliness and neatness in the Science Laboratory.

· Assist in the upkeep of equipment in Science Lab.

· Assists General Office with general administrative duties

Required skills and experience:

· At least 1 year of experience in handling common Lab equipment found in school labs. (eg. Microscope, dataloggers, etc.)

· Excellent team-player who is organized, meticulous and with the ability to multi-task.

· Strong communication and interpersonal skills.

· Preferably to be proficient in MS Office.

· Preferably with working experience in school laboratory.

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.

Compliance Inspector

• Working Days: 5 Days [Monday - Friday]
• Working Hours: 8.30am - 5.30pm
• Salary: $2600-$3500
• Location: Clarke Quay

Requirements:

• Diploma in Food Science & Technology, Chemistry and other science-related fields
• Preferably 1 year working experience
• Able to travel locally.

Summary:

The Compliance Inspector is responsible for working independently on assigned projects. The Compliance Inspector needs to demonstrate knowledge of certification requirements regulations and compliance monitoring activities to effectively perform duties that support the company compliance programme. The Compliance Inspector performs periodic audits and investigations of halal operations in support of compliance.

Responsibilities:

• Prepare audit and investigation reports of findings and observations that identify, in detail, areas of non-compliance and risk areas for non-compliance
• Document all compliance activities in the prescribed checklists and databases in accordance with company policies and/or workflows
• Conduct timely follow-up with clients and close the audit.
• Provide thorough audit reports and timely and accurate reviews of client corrective actions, and follow-up and ensure that findings are closed
• Monitor and prepare reports on compliance activities and other matters
• Complete compliance audits and monitoring of various Halal operations
• Communicate with clients proactively via phone calls, emails and/or face-to-face meetings to gather information for the purpose of feedback gathering, analysis, review, records and submissions to authorities.
• Maintain schedule of audit activity with clients
• Participate and contribute in project committees
• Any other assignments and tasks given

Chew Xing Shan Reg No: R22107044

The Supreme HR Advisory Pte Ltd EA No: 14C7279

WhatsApp: +65 83592812 [Shannon]

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.

Responsibilities:

• Gather and analyze user requirements and translate them to business solutions
• Design, write and implement efficient code to preprocess data, train, evaluate, test and deploy models
• Plan, manage and lead data science projects
• Develop machine learning and deep learning models for production level
• Improve and manage existing models and systems
• Guide the internal team on technical details and project development
• Present insightful data outcomes to project stakeholders

Requirements:

• Bachelor’s Degree in Computer Science, Science/Engineering field or equivalent
• At least 2 years’ experience in Data Science related function
• Proficient in Python programming and common libraries for data analytics, machine learning and deep learning (pandas, numpy, scikit learn, keras etc)
• Good understanding of machine learning/deep learning algorithms and their applications
• Knowledge in use of SQL and/or noSQL databases (postgres, oracle, MongoDB etc.)
• Familiarity with implementing models at production level
• Experience with data visualization tools such as Power BI, Tableau
• Hands-on practical experience on other data science development in languages such as R, Java, C++, etc
• Experienced in manufacturing industry is advantageous

To apply, please visit www.gmprecruit.com and search for Job Reference: 23985

To learn more about this opportunity, please contact Yingying at [email protected]

We regret that only shortlisted candidates will be notified.

GMP Technologies (S) Pte Ltd | EA Licence: 11C3793 | EA Personnel: Lai Yingying | Registration No: R1110239

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.

Incubation Manager, Innovation, Science and Technology Group (ISTG)

• Be part of a group that is safety driven and values inclusion
• Access to industry-leading technical development programmes
• Join our global leading business offering outstanding personal development & global career opportunities
• Diverse & challenging projects
• Role based in Singapore

About the role

Finding better ways to provide the materials the world needs.

We are looking for an entrepreneurial Incubation Manager as part of our newly established Growth team within Innovation, Science and Technology Group (ISTG).

This is a great opportunity for an innovative leader with strong entrepreneurial skills to drive incubation projects forward.

We are an open, connected global team that includes some of the industry’s best and brightest minds. We offer competitive, performance-focused remuneration and a wide range of benefits to reward your contribution. With a global reach, the opportunities to develop and grow your career are broad and exciting.

Reporting to the Head of Growth & Ventures and working in a challenging and exciting environment within Rio Tinto’s Innovation, Science & Technology Group, you will:

• Lead the Incubation team, helping set its vision, strategy, and objectives
• Identify and evaluate new business opportunities, technologies, and trends relevant to the mining industry and future of Rio Tinto
• Manage the incubation process from ideation to proof of concept, and thereafter ultimately to commercial scale-ups
• Work as one team with Ventures, helping generate projects from our start-up partners to help them scale and deliver impact
• Bring together and collaborate with Product Group, Functional and R&D stakeholders to leverage the capabilities and expertise relevant to each project
• Design and implement measures to assess and report on progress and value creation
• Contribute to a team culture of inclusiveness and foster collaboration, and be a relentless supporter of risk-taking by “playing to win” vs. “playing not to lose”
• Communicate complicated ideas in a simple way (verbal, written, slides) to a variety of internal and external stakeholders and senior leaders

What you’ll bring

• A commitment to the safety of yourself and your team
• Degree in a technical discipline
• Strong strategic thinking, analytical, and problem-solving abilities
• Outstanding communication (written and oral) and interpersonal skills
• A minimum of 10 years of professional experience, with a proven track record in start-ups, incubation, venture capital or similar
• Strong understanding of valuations, ideally in the context of heavy industry innovation
• Excellent leadership and management skills focused on leading by example

What we offer
Be recognised for your contribution, your thinking and your hard work, and go home knowing you’ve helped the world progress.

• A work environment where safety is always the number one priority
• A competitive salary package with annual cash incentive awards for eligible employees
• Career development & education assistance to further your ambitions
• Access top tier family-friendly health and medical programs and pension plan
• Wellbeing benefits
• Generous Rio Tinto employee share program
• Employee Assistance Program
• Ongoing individual wellbeing support for you and your family for personal and professional matter
• Leave for all of life’s reasons (vacation/annual, paid parental, sick leave)

About Rio Tinto

Rio Tinto is a leading global mining and materials company. We operate in 35 countries where we produce iron ore, copper, aluminium, critical minerals, and other materials needed for the global energy transition and for people, communities, and nations to thrive.

We have been mining for 150 years and operate with knowledge built up across generations and continents. Our purpose is finding better ways to provide the materials the world needs – striving for innovation and continuous improvement to produce materials with low emissions and to the right environmental, social and governance standards. But we can’t do it on our own, so we’re focused on creating partnerships to solve problems, create win-win and meet opportunities.

Where you’ll be working
Rio Tinto’s Innovation, Science & Technology Group (ISTG) is committed to advancing the frontiers of mining technology and finding better ways. By bringing together the best in talent and ideas, combined with fast decision making, we are committed to accelerating and incubating the highest value innovation projects for Rio Tinto, the mining or adjacent industries and our value chains.

Growth & Ventures is a new and exciting pillar of our ISTG team, combining our existing Venture Capital fund with a dedicated Growth team focused on Incubation and Commercial Scale-up capabilities.

Every Voice Matters

At Rio Tinto, we particularly welcome and encourage applications from Indigenous Peoples, women, the LGBTQIA+ community, mature workers, people with disabilities and people from different cultural backgrounds.

We are committed to an inclusive environment where people feel comfortable to be themselves. We want our people to feel that all voices are heard, all cultures respected and that a variety of perspectives are not only welcome – they are essential to our success. We treat each other fairly and with dignity regardless of race, gender, nationality, ethnic origin, religion, age, sexual orientation or anything else that makes us different.

You Lead the Way. We’ve Got Your Back.

With the right backing, people and businesses have the power to progress in incredible ways. When you join Team Amex, you become part of a global and diverse community of colleagues with an unwavering commitment to back our customers, communities and each other. Here, you’ll learn and grow as we help you create a career journey that’s unique and meaningful to you with benefits, programs, and flexibility that support you personally and professionally.

At American Express, you’ll be recognized for your contributions, leadership, and impact—every colleague has the opportunity to share in the company’s success. Together, we’ll win as a team, striving to uphold our company values and powerful backing promise to provide the world’s best customer experience every day. And we’ll do it with the utmost integrity, and in an environment where everyone is seen, heard and feels like they belong.

Join Team Amex and let's lead the way together.

Functional Description

Decision Science colleagues will serve as a key member of the Credit and Fraud Risk organization. We seek a thought-leader and a problem-solver who can blend business, technical, and industry best practices when it comes to developing the analyses, models, and algorithms that power our customers’ digital experiences.

This team is responsible for developing, implementing, and tracking AI/ML models for driving enterprise digital personalization in prospect marketing and automating data capability and model governance.

Our Decision Science teams use industry leading modeling and AI practices to predict customer behavior. We develop, deploy and validate predictive models and support the use of models in economic logic to enable profitable decisions across credit, fraud, marketing and servicing optimization engines.

The role will entail some of the below listed responsibilities:

• Work with massive amounts of digital data (Web, App, API) and sophisticated tools in an industry leading Big Data environment.
• Build everything from basic reports to advanced machine learning models and algos to drive improvements to our customer’s online and mobile app experiences.
• Work with product owners to revolutionize the product and content design with a data-driven approach
• Collaborate with tech partners to test, implement and deploy modeling solutions to production system.
• Develop insights into customer behavior and introduce new approaches to transform complex behavioral data into actionable information
• Leverage the power of closed loop through Amex network to make decisions more intelligent and relevant
• Innovate with a focus on developing newer and better approaches using big data & machine learning solution

Minimum qualifications and skills required across role types are highlighted below:

• Masters/PhDs in a quantitative field (Computer Science, Statistics, Mathematics, Physics, Operation Research etc.) with hands-on experience leveraging sophisticated analytical and machine learning techniques.
• Expertise in an analytical language (Python, R or the equivalent), and experience with databases (Hive, SQL, or the equivalent). Knowledge of SAS is a plus but not required.
• Deep understanding of machine learning/statistical algorithms such as deep learning and boosting. Experience with data visualization is a plus
• Minimum 3 year of experience in marketing modeling
• Demonstrated ability to frame business problems into mathematical programming problems, leverage external thinking and tools (from academia and/or other industries) to engineer a solution and deliver business insights
• Ability to work effectively in a team environment
• Independent thinker who’s organized, has great attention to detail, and can multi-task
• Strong communication skills
• Ability to learn quickly and work independently with sophisticated, unstructured initiative
• Ability to integrate with cross-functional business partners worldwide
• Proficient in presentation tools, including Excel and PowerPoint

We back our colleagues and their loved ones with benefits and programs that support their holistic well-being. That means we prioritize their physical, financial, and mental health through each stage of life. Benefits include:

• Competitive base salaries
• Bonus incentives
• Support for financial-well-being and retirement
• Comprehensive medical, dental, vision, life insurance, and disability benefits (depending on location)
• Flexible working model with hybrid, onsite or virtual arrangements depending on role and business need
• Generous paid parental leave policies (depending on your location)
• Free access to global on-site wellness centers staffed with nurses and doctors (depending on location)
• Free and confidential counseling support through our Healthy Minds program
• Career development and training opportunities

Offer of employment with American Express is conditioned upon the successful completion of a background verification check, subject to applicable laws and regulations.

You Lead the Way. We’ve Got Your Back.

With the right backing, people and businesses have the power to progress in incredible ways. When you join Team Amex, you become part of a global and diverse community of colleagues with an unwavering commitment to back our customers, communities and each other. Here, you’ll learn and grow as we help you create a career journey that’s unique and meaningful to you with benefits, programs, and flexibility that support you personally and professionally.

At American Express, you’ll be recognized for your contributions, leadership, and impact—every colleague has the opportunity to share in the company’s success. Together, we’ll win as a team, striving to uphold our company values and powerful backing promise to provide the world’s best customer experience every day. And we’ll do it with the utmost integrity, and in an environment where everyone is seen, heard and feels like they belong.

Join Team Amex and let's lead the way together.

Functional Description

Decision Science colleagues will serve as a key member of the Credit and Fraud Risk organization. We seek a thought-leader and a problem-solver who can blend business, technical, and industry best practices when it comes to developing the analyses, models, and algorithms that power our customers’ digital experiences.

This team is responsible for developing, implementing, and tracking AI/ML models for driving enterprise digital personalization in prospect marketing and automating data capability and model governance.

Our Decision Science teams use industry leading modeling and AI practices to predict customer behavior. We develop, deploy and validate predictive models and support the use of models in economic logic to enable profitable decisions across credit, fraud, marketing and servicing optimization engines.

The role will entail some of the below listed responsibilities:

• Work with massive amounts of digital data (Web, App, API) and sophisticated tools in an industry leading Big Data environment.
• Build everything from basic reports to advanced machine learning models and algos to drive improvements to our customer’s online and mobile app experiences.
• Work with product owners to revolutionize the product and content design with a data-driven approach
• Collaborate with tech partners to test, implement and deploy modeling solutions to production system.
• Develop insights into customer behavior and introduce new approaches to transform complex behavioral data into actionable information
• Leverage the power of closed loop through Amex network to make decisions more intelligent and relevant
• Innovate with a focus on developing newer and better approaches using big data & machine learning solution

Minimum qualifications and skills required across role types are highlighted below:

• Masters/PhDs in a quantitative field (Computer Science, Statistics, Mathematics, Physics, Operation Research etc.) with hands-on experience leveraging sophisticated analytical and machine learning techniques.
• Expertise in an analytical language (Python, R or the equivalent), and experience with databases (Hive, SQL, or the equivalent). Knowledge of SAS is a plus but not required.
• Deep understanding of machine learning/statistical algorithms such as deep learning and boosting. Experience with data visualization is a plus
• Minimum 1 year of experience in marketing modeling
• Demonstrated ability to frame business problems into mathematical programming problems, leverage external thinking and tools (from academia and/or other industries) to engineer a solution and deliver business insights
• Ability to work effectively in a team environment
• Independent thinker who’s organized, has great attention to detail, and can multi-task
• Strong communication skills
• Ability to learn quickly and work independently with sophisticated, unstructured initiative
• Ability to integrate with cross-functional business partners worldwide
• Proficient in presentation tools, including Excel and PowerPoint

We back our colleagues and their loved ones with benefits and programs that support their holistic well-being. That means we prioritize their physical, financial, and mental health through each stage of life. Benefits include:

• Competitive base salaries
• Bonus incentives
• Support for financial-well-being and retirement
• Comprehensive medical, dental, vision, life insurance, and disability benefits (depending on location)
• Flexible working model with hybrid, onsite or virtual arrangements depending on role and business need
• Generous paid parental leave policies (depending on your location)
• Free access to global on-site wellness centers staffed with nurses and doctors (depending on location)
• Free and confidential counseling support through our Healthy Minds program
• Career development and training opportunities

Offer of employment with American Express is conditioned upon the successful completion of a background verification check, subject to applicable laws and regulations.

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

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.

Responsibilities:

• Define, gather and analyse, solution and document the business requiremnts and processes for clients
• Determine operational objectives after review design specifications and evaluate output requirements and formats
• Write functional specifications, use cases and requirements to improve on the necessary system changes by studying current practices and designing modifications
• Recommend controls by providing functional solutions to clients and the development team
• Define project requirements by identifying project milestones, phases and elements; forming project team; establishing project budget
• Monitor project progress by tracking activity; resolving problems; publishing progress reports; recommending actions
• Understand strategic direction set by senior management
• Validate resource requirements and develop cost estimation
• Conduct and coordinate financial, product, market, operational and related research to support strategic and business planning within the various departments and programs of the client
• Understand business requirements, distinguishing users’ requests from underlying true business needs and execute tasks that comply with current development standards

Requirements:

• Bachelor’s degree in computer science, information technology or other related disciplines
• Minimum 2 years of application testing experience, with project management experience
• Ability to execute application testing
• Experience with structured testing mythology (use of automation tools)
• Ability to multitask, prioritize and translate business requirements into test scenarios
• Discipline and meticulous in documentation
• Possess excellent interpersonal and leadership skills
• Familiar with both procedural and object oriented design principles and an excellent understanding of software development practices and concepts

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

Lecturer (Artificial Intelligence & Data Science)

The job of an academic is challenging but meaningful. Not only will s/he have both the knowledge and working experience, s/he must also possess a passion for working with youths, nurturing and moulding their characters.

There will be opportunities to:

• Lead and collaborate with industry in AI/DSA projects that support the Nation’s data and digital transformation effort
• be involved in consultancy and other applied research projects.
• train students and coach junior staff in the area of specialisation.
• develop curriculum, introduce new courses
• Administrative work related to teaching and School/Institutional strategic initiatives will also be an important part of the job.

The appointee must be competent to teach at diploma and higher levels in any one of the following areas:

• Artificial Intelligence (AI)
• Computer Vision (CV)
• Data Science (DS)
• Data Analytics (DA)
• Natural Language Processing (NLP)
• Cloud Computing (CC)

The appointee should also be able to teach in any one of the following areas:

• Mathematics
• Statistics
• Computing

The appointee will also be required to teach at least one of the following broad-based, foundational modules under the common core curriculum to enable our students to have the necessary emerging digital skills and human skills.

• Data Fluency
• Artificial Intelligence and Its Impact
• Persuasive Communication with Data Storytelling
• Problem Solving with Creative and Computational Thinking

Responsibilities:

• Conduct lessons, create teaching and assessment materials and mentoring of students
• Develop and maintain new/existing teaching curriculum for modules stated above
• Undertake projects/consultancy work with both internal and external stakeholders, in area of AI, DS, CV, DA, NLP and/or CC
• Coordinate, develop and maintain new/existing teaching curriculum that would enhance students’ performance, learning and employability.

Requirements:

• Passionate about education and possess good values
• Team player with the ability to work independently
• Possess deep knowledge and keep abreast of trends of latest developments in the area of AI, DS, CV, DA, NLP and/or CC, to keep the student training and curriculum up to date and relevant, and build staff capability.
• Experience in cloud computing or software engineering, particularly in the deployment of AI/DS models into production is preferred
• Resourceful and innovative with initiative

Successful candidate will be offered a 2-year contract in the first instance.

If you are shortlisted for the position(s), you should hear from us within 30 days of the closing date of the advertisement.

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 Jing group is looking for two postdoctoral research fellows for projects on electrochemical flow systems or strongly correlated fields. The group combines electrochemistry and flow chemistry to electro-synthesize redox active materials in flow systems which can be used for aqueous organic flow batteries-based long-duration energy storage or carbon capture.

Qualifications

The successful candidate should have a PhD degree with expertise in some of the following areas:
1. Design, synthesis, and characterization of electroactive materials
2. Design, assembly, and optimization of electrochemical flow systems
3. Theoretical and simulation approaches for strongly correlated materials and systems

The successful candidate should also have:
• Strong communication skills,
• motivation in scientific research, and
• experience in writing scientific papers

Recent Ph.D. and postdocs with a background in materials science and engineering, organic chemistry, electrochemistry, or a related field or candidates with a strong background in flow batteries or organic synthesis are encouraged to apply.

Job Description
Yale-NUS College is a highly selective liberal arts and science college in Singapore. Co-founded by Yale University and the National University of Singapore, the College is committed to excellence in research and teaching within a full residential programme that integrates living and learning. Its curriculum educates students in Asian and Western intellectual traditions as well as current scientific thought.

In order to enhance the research and teaching environment of the College, we welcome senior scholars to spend one or two semesters on our campus. The visiting faculty will be actively involved in research, preferably in cognate research areas with Yale-NUS faculty research fields, and will be asked to teach one or two courses per semester of their visit. We are currently seeking a Visiting Professor to teach two (2) courses in Semester 1 of Academic Year 2024-2025.

Candidates should have a PhD degree with an excellent track record in research related to Political Science. Research achievements should include publications in leading peer-reviewed journal or conference commensurate with career stage.

Job Requirements

Extensive teaching experience and passion for undergraduate education is essential.

Application Procedure
Applications should consist of the following: a cover letter explaining why the position at Yale-NUS is of interest; a full curriculum vitae, including a complete list of publications; statement on research interests, teaching experience and teaching philosophy, including how these might fit with the College’s particular mission and curriculum and other relevant documents.

We regret that only shortlisted candidates will be notified. For general inquiries about visiting appointments at Yale-NUS, please write to the College’s Human Resources via email at [email protected].

Equal Opportunity Employer
Yale-NUS College achieves excellence through the diversity of its students, faculty, and staff and by embracing inclusivity, equity, and global engagement. We encourage applications by diverse individuals with a demonstrated commitment to these values. For more information about the College, please visit https://www.yale-nus.edu.sg

Personal Data Protection Act (PDPA)
Candidates should understand that by sharing information with Yale-NUS, they authorise the College to use their personal data for the purposes of this application. The College will not use their data for other purposes and ensure that their data remains secure and confidential.

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.

Support teaching and learning in the following areas:

• Preparation of laboratory materials, hand tools, and components for lessons and examinations
• Troubleshoot and maintenance of laboratory tools and instruments
• Management of laboratory space for student projects, project equipment, materials and storage
• Assist in managing activities in the laboratories and ensure safety procedures are observed

Perform daily housekeeping and maintenance to ensure the safety, cleanliness, and tidiness of laboratories

Liaise with vendors and evaluate quotations from suppliers for laboratory equipment and electronics components

Track and maintain laboratory documentation (i.e., Risk Assessments and Components Data Sheets) and inventory of laboratory equipment, hand tools and components

The LKY School of Public Policy is seeking Research Assistant(s) who will assist with ongoing projects in the field of social science, including financial literacy, economics of aging, social security, and public policy.

The successful candidate should have an interest in one or more of the above-listed topics, as well as the ability to work independently with minimal supervision and a strong willingness to learn about new topics. The candidate must demonstrate some competence in quantitative research methods, and be proficient with statistical software such as STATA or R. Excellent written and spoken English is essential.

This position requires a minimum of two years of professional research experience or working in a research environment (in any field). This position requires working with large datasets, and caters to individuals who are looking to develop a career or pursue further studies in the fields of public policy or social science research. The Research Associate will work directly with Asst Professor Joelle Fong

Responsibilities of the full-time Research Associate include:

• Research support for projects under a 5-year research programme
• Conduct literature reviews
• Perform quantitative data analysis on research projects.
• Independently collect and manage primary and/or secondary data for research projects • Contribute to writing research reports, policy briefs, and journal articles
• Prepare manuscripts for submission, and other administrative work.

Job Requirements:

• Have a Bachelor’s/Master’s degree in the social sciences from a reputable university.
• Minimum of two years of full-time professional research experience or work in a research environment (in any field).
• Demonstrate strong programming skills using either Stata or R (experience with other programs is a plus)
• Excellent spoken and written English.
• Self-motivated and attention to detail.
• Able to commit to at least 1 year of service.

To Apply:

• Cover letter, with a brief statement of relevant research experience
• Curriculum vitae (four-page max)
• Two writing samples (e.g. essays, written reports, short articles)
• Two references/letters of recommendation from academic referees. Applicants must arrange for their referees to separately email their references.