Dulwich College (Singapore) is recruiting a Science Technician to start in April 2024, to support the Science Department in the management and preparation of resources to enable the effective delivery of science curriculum at the College, as well as the maintenance of equipment.

Duties & Responsibilities:

• Prepare resources, make up solutions, assemble apparatus, and deliver equipment to labs as required;
• Play an active role in developing and trialing new practical activities;
• Assist and demonstrate in practical classes as required;
• Provide technical advice and assistance to teachers, technicians and students;
• Assist and demonstrate in practical classes as required;
• Supervise students carrying out investigations and experiments;
• Keep laboratories tidy and ordered;
• Oversee the clearing away, storage and maintenance of practical equipment after practical lessons;
• Working with other Technicians to ensure the safe storage, concentration of stock solutions suitable for students, labels, warning signs and disposal of chemical and biological waste according to local regulations and guidelines;
• Support the College cleaning staff in ensuring the safe cleaning of science laboratories and preparation areas;
• Keep up-to-date with health and safety regulations;
• Carry out risk assessments of own activities and practicals as requested by teachers, seking advice when neccessary;
• Provide advice on safe practice and monitoring activities to ensure there are followed;
• Assist in the management, use, and provision of resources, including books and teaching materials;
• Maintain class sets of laboratory resources (including stationery);
• Service and clean equipment and resources as required;
• Carry out stocktaking of equipment, chemicals and stationery, in order to maintain appropriate stock of apparatus and consumables;
• Fix broken Science equipment. If not possible, organize for it to be fixed or replaced;
• Monitoring access to science laboratories and prepare areas;
• Attend additional training as required;
• All other duties commensurate with the post.

The successful candidate will possess:

• A minimum 'N' Levels, including Science subjects, or equivalent;
• Experience of working in laboratory setting or similar would be an advantage but not neccessary;
• The ability to follow procedures and guidelines;
• Fluency in English and the ability to communicate effectively with students and colleagues;
• A flexible approach to work, and the willingness to contribute to the wider team;
• The ability to use own initiative to undertake required tasks.

We welcome and encourage applications from people of all backgrounds. Having a diverse staff body is a great strength to us as a College and one of the ways that we can help students achieve our College Mission of Living Worldwise. We do not discriminate on the basis of race, ethnicity, gender, age, disability, religion, sexual orientation, pregnancy or socio-economic status. We support family-friendly flexible working opportunities, where operational needs allow. Staff recruited locally are subject to Terms and Conditions of Service according to local employment law.

Dulwich College (Singapore) is committed to safeguarding and promoting the welfare of all the students in our care and expects all applicants to share this commitment. We follow safe recruitment practices which are aligned to the recommendations of the International Task Force on Child Protection. We hold ourselves to a high standard of effective recruiting practices with specific attention to child protection. All appointments are subject to an interview, identity checks, criminal record checks, and successful references.

CPE Registration Number: 201027137D. Period of Registration: 09 January 2024 to 08 January 2028

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

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

We regret that only shortlisted candidates will be notified.

Job Description

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

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

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

Duties and Responsibilities

Primary Responsibilities and Duties (80%)

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

Secondary Responsibilities and Duties (20%)

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

Requirements

Qualification Required and Area of Discipline:

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

Required Competencies and Capabilities:

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

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

Sia Partners is a next-generation consulting firm focused on delivering superior value and tangible results to its clients as they navigate the digital revolution. Our global footprint and expertise in more than 40 sectors and services allow us to enhance our clients’ businesses worldwide.

We guide their projects and initiatives in strategy, business transformation, IT & digital strategy, and Data Science. As the pioneer of Consulting 4.0, we develop consulting bots and integrate AI in our solutions.

Job Description

You will also contribute to internal data science projects hosted on Heka, our internal accelerator for data science projects: https://www.heka.ai/en
As part of the global data science team, you will contribute to the development of various solutions designed to address our clients’ needs.

Key responsibilities:

• Partner with our client’s leadership teams, engineers, program managers and data analysts to understand business needs.
• Steer a small team or work independently on client projects with support of senior leadership
• Identify, acquire, process and explore relevant data sources.
• Analyze large amounts of structured and unstructured information to discover trends and patterns.
• Use your data analytics and data science expertise to derive valuable insights from datasets, build predictive models and machine-learning algorithms.
• Communicate at scale, through multiple mediums: presentations, dashboards, datasets, bots and more.
• Propose solutions and strategies to business challenges.
• Collaborate with engineering and product development teams.
• Contribute to a broad range of projects and deliverables, including models, algorithms, datasets, measurements, services, tools and processes.
• Evangelize data science in the region by contributing to training & upskilling
• Contribute to business development activities such as building proposals, conducting research, and driving thought leadership

Qualifications

• 2-3 years’ experience as a Data Scientist or Data analyst (ideally in consulting)
• At least a bachelor’s or equivalent degree in a relevant area of study (Data Science, Business Analytics, Statistics, Economics or a related field of study) from a top university
• Prior experience in model development(Doc Review, Decision Model etc. will be advatageous)
• Good skills in Python and ideally another analytical language (e.g., R, SQL)
• Problem-solving aptitude and strong business acumen
• Excellent communication and presentation skills
• English fluency.
• Strong plus: Experience with data visualization tools (e.g., Tableau, PowerBI, R-shiny)
• Strong plus: Good understanding of statistical techniques and concepts
• Strong plus: Knowledge of Machine Learning techniques or optimization

Additional information

What do we offer?

• Competitive salary & top tier benefits
• Training resources to further develop yourself as an expert in your discipline
• Opportunity to work with top tier clients in financial services, retail, and other sectors in SG and beyond
• Dynamic environment with many opportunities to take on responsibilities usually reserved for more experienced professionals

The Global School of Technology and Management offers academic courses in Engineering, Construction and the Built Environment, Events, Hospitality and Tourism Management, Computing and Information Technology, Business Management, Logistics and Supply Chain Management and etc. Please visit www.gstm.edu.sg for more information.

Due to the continuing success of the programmes and the increasing demand for graduates in this field, we are now seeking suitable candidates for the position of Part-Time Lecturer (Computing/ Information Technology)

Preferable candidate with industry and academic experiences and will be responsible for teaching and supervision for industry projects/ internship reports for Diploma students.

Responsibilities

• Conduct lessons (Face-to-Face) to students and carry out all relevant responsibilities related to the teaching role. The lessons may be time-tabled during the day, morning/afternoon weekdays.
• Design, develop and review course materials, as well as assessments
• Assess and evaluate student assignments and their academic performances
• Coach and mentor students to support their learning

Teaching hours:

• Classes are conducted during the day on weekdays only (Morning/ Afternoon)

Teaching modules:

· Secure Development and Deployment

· Project

· Applied Artificial Intelligence

· Data Science for Business

· Cyber Security

· Audio Visual Programming

· Foundation of Computing I & II

· Programming Fundamentals

· Web and Database Systems

· Data Structures and Algorithms

· Software Engineering

· Further Programming Paradigms

· Information Retrieval

· Web Applications Design and Development

· Artificial Intelligence

· Computing Networking

· Software Engineering

Prerequisites

• At least Master Degree in Computer Science or related areas
• With at least 5 years of relevant working experience in the industry and academics.
• Strong knowledge of the subject areas combined with a broad subject background and ability to contribute to teaching modules in areas of computing and information technology in Undergraduate level
• A passion and genuine interest to share knowledge and interact with learners.
• Good communication and interpersonal skills

Preference will be given to candidates:

• Teaching and research expertise in the Computing / Information Technology fields
• Membership of professional bodies and associations will be an added advantage.
• Only shortlisted candidates will be notified.

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

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

We regret that only shortlisted candidates will be notified.

Job Description

The Lee Kuan Yew School of Public Policy (LKYSPP), National University of Singapore, invites applications for multiple tenure track Assistant Professor appointments. Applicants are expected to have research and teaching expertise in the fields of public policy, public administration, and/or public management. Of particular interest are scholars whose research and teaching focuses on Public Management, Leadership, and Ethics; Law, Regulation, and Governance of Emerging Technologies; Decentralization, Urbanization, and Local Government; Bureaucracies, Public Finance, and Policy Processes; and Data Analytics/Science and Public Policy. Scholarship that have applications to Asia, particularly East and Southeast Asia, but speaks to the broader field are welcomed.

Job Qualifications

The ideal candidate will have:

• a completed PhD in public administration, public management, public policy, political science, or related disciplines
• potential to publish in world class academic research outlets
• ability to teach core and specialized courses in public administration, public management, and public policy
• a willingness and ability to mentor graduate students and supervise graduate degree these
• a willingness to engage with a wide range of external interests including public bodies, businesses, not-for-profits and research or learning communities.

Additional Information

About Lee Kuan Yew School of Public Policy

LKYSPP is a leading public policy school in Asia, attracting an internationally diverse, world-class faculty and student body to engage and address the world’s most pressing challenges. Its mission is to to inspire, improve lives, and take central positions in the policy and governance conversations within Asia and beyond. We do this by working hard on two planks: pursuing academic and intellectual excellence, and crafting lessons for meaningful public policy-making. The school is housed within the National University of Singapore, the highest ranked university in Asia and the 11th in the world.

LKYSPP offers highly competitive research funding, salary, relocation and housing support, and other benefits. The teaching load (typically three per academic year) allows faculty to focus on providing quality instruction while maintaining their research excellence. For more information about the LKY School, please visit www.lkyspp.nus.edu.sg.

Are you passionate about inspiring curious minds to love Science while growing in a career that pays you well?

If your answer is a resounding YES, The Pique Lab WANTS you!

[About Our Team]

At The Pique Lab, we’re on a mission to create the best Science learning experience for students aged 9 to 16 in Singapore. Our lessons are meticulously crafted based on pedagogical research, data-driven methodologies and have one overarching goal: to make learning fun, shorten learning curves and help students develop a genuine appreciation for Science.

Over the past decade, we've grown from a pair of co-founders to a diverse team of over 80 team members across 10 departments. Our proprietary learning methodology and examination-centric materials have helped more than 20,000 students ace their Science examinations.

Our headquarters is in Singapore, with additional offices in China, Philippines and Malaysia. We take pride in our open, fast-paced and flat organisational structure where every team member is valued for their skills and competencies, not just their job titles.

We are looking for passionate Science lovers to join us to bring the joy of learning to more children. Who knows? You might be nurturing the next Albert Einstein or Marie Curie!

If you like the prospects of working in a close-knit team, leveraging tech to work hyper-efficiently while tackling challenges head-on, we’d love to talk to you about joining the team!

[Your Role]

As a Primary Science Teacher at The Pique Lab, you will be involved in:

1. Class & Learning Management – You will manage classes (online & onsite) effectively with a holistic understanding of your students’ learning needs and motivations
2. Lesson Preparation & Delivery – You’ll prepare for your lessons in accordance to our curriculum. In particular, you’ll devise ways to simplify Science concepts and highlight common misconceptions.
3. Publishing – You’ll share your knowledge by writing articles and producing videos, so that your students can continue to learn from you outside of the classroom.
4. Communication – You’ll communicate with parents on their children’s learning progress and make appropriate recommendations on how to improve further.

[Your Growth]

Your success as a Lower Secondary Science Tutor means a lot to us.

Rigorous training is provided during your first 9 months at The Pique Lab, which is aimed at increasing your confidence and expertise as a Primary Science Teacher.

You will start your career with us by undergoing the Teaching Associate Programme where you'll learn plenty of valuable teaching skills:

• Content Mastery: Solidify your fundamentals in the Primary Science syllabus by learning key concepts & examination question types. Understand how to apply a variety of answering techniques to tackle questions effectively.
• Attention Control: Discover how to make your lessons come alive, such that your students never get bored of them. Dive deep into delivery technicals such as coherency, clarity, tempo, gestures, expression and humour.
• Class Control: Pick up effective classroom management strategies, so that you're able to maintain a fun, yet disciplined teaching approach with your students.
• Performance Management: Learn how to use cues effectively to instil a stronger sense of confidence in your students & help them develop a stronger affinity for Science.
• Communicating With Parents: Understand how to communicate with parents, such that they are supportive and appreciative of your work.

After you've achieved mastery in your fundamentals, you can look forward to explore various career pathways (Specialist Track & Management Track) where we'll work closely with you to spearhead projects or manage teams.

[You, Our Ideal Candidate]

We’d love to have a chat with you if you meet the following criteria:

Required:

• Strong Background in Science: You should have a strong understanding in the subject matter - not just at the university level, but at a primary/secondary level, and hence be able to simplify complex Science concepts.
• Prior Teaching Experience: You should have some experience in teaching, not strictly limited to Science - be it commercial experience (e.g. teaching in MOE schools, tuition centres or private 1-1 classes) OR volunteering experience (e.g. coaching kids in after-school care centres).

Good to have:

• A Positive, Confident & Engaging Personality: You need to be comfortable engaging students at a group level & infuse joy and laughter in your lessons.
• Grit and Drive to Succeed: You must be committed to mastery and be willing to put in the hard work. You should have a clear idea on what you intend to pursue in your career, at least for the next 3 to 5 years,
• Ability to learn fast and think on your feet: You will be expected to pick up and apply strategies and techniques taught to you quickly, especially during the training period.

[Your Welfare]

1. [Biggest Takeaway] Mentorship, Training & Regular Feedback
2. Abundant Career Progression Opportunities in two different tracks: Specialist track and Management track
3. Competitive Remuneration, including a base salary (starting from $3,400/ month) plus a variable pay (which scales based on your contributions)
4. Annual Performance Bonus
5. Medical, Dental & Vision Benefits
6. Technology Benefits
7. Paid Leaves
8. Time-off From Work For Errands
9. Fully-stocked Pantry
10. Free Meals on selected school holidays and weekends
11. Company Socials
12. Work From Home Care Packages

[Take Note]

1. We respect your time commitment with us. As such, you'll be paid full salary, even during your training period.
2. There are no part-time teaching positions due to the amount of resources required to groom teachers to excellence.
3. We specialise only in Primary Science and will continue to deepen our expertise in this area within the next 3 to 5 years. If you're only keen to teach Mathematics or English, we're probably not a good fit for you.

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 – which is the top-ranked university in Asia – is recruiting full-time Assistant Professors for the Saw Swee Hock School of Public Health (SSHSPH) on the tenure/research/practice track appointments. For tenure-track appointments, appointees are given fixed contracts for up to 7 years, with the goal of obtaining tenured appointments at the end of this period. In addition to an attractive salary and benefits package, new faculty members may be eligible for a start-up grant to initiate their independent stream of research and subsidised university accommodation.

The positions are specifically for faculty to work in the Health Systems & Behavioural Sciences Domain of SSHPH. Researchers active in one or more of the following areas of Health

Promotion/Implementation Science are particularly encouraged to apply:

Health Promotion
• Research on:
o Behavioural and communication theories/models,
o Social, environmental, and behavioural change interventions, and
o Evidence-based strategies and their impact on socio-behavioural, environmental and health outcomes for various populations.

• Analyses of:
o Population health needs using mixed methods and appropriate statistical procedures, e.g., structural equation modelling, and
o Healthcare systems and policies to design health promotion interventions for the general public as well as at-risk populations.
• Planning, implementation, evaluation, and communication of sustainable and effective programmes targeted at health promotion and/or disease prevention for the public.
• Development and advocacy of practices, policies, and laws that will provide supportive and enabling environments for the promotion and improvement of public health.
• Leveraging on structures and mobilisation of organisational, governmental and community resources to create health-promoting environments.

Implementation Science
• Research on attenuating implementation bottlenecks and roadblocks.
• Development and optimisation of implementation strategies and methods to generate sustainable improvements in healthcare and delivery systems.
• Promoting the systemic uptake of research findings to advance positive outcomes in clinical, organisational or policy contexts.

Job Requirements

Requirements:
a) Recognised Doctoral degree in a relevant discipline with strong post-doctoral research records,
b) Track record of publishing in high-impact international peer-reviewed journals,
c) Experienced in leading independent research studies or a component within larger research programmes,
d) Ability to generate and maintain an independent stream of research funding,
e) Ability to teach public health courses at both undergraduate and graduate levels,
f) Ability to work in multidisciplinary teams, and
g) Ability to work with culturally diverse populations.

Responsibilities include:
• Establishing an independent research agenda through extramural funding,
• Developing collaborative, multidisciplinary research,
• Curricula design and teaching,
• Supervision of postgraduate students advising, and
• Contributing to policy/community development in the field of public health.

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

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

Job Description

The National University of Singapore – which is the top-ranked university in Asia – is recruiting full-time Associate Professors for the Saw Swee Hock School of Public Health (SSHSPH) on the tenure/research/practice track appointments. In addition to an attractive salary and benefits package, new faculty members may be eligible for a start-up grant to initiate their independent stream of research and subsidised university accommodation.

The positions are specifically for faculty to work in the Health Systems & Behavioural Sciences Domain of SSHPH. Researchers active in one or more of the following areas of Health Promotion/Implementation Science are particularly encouraged to apply:

Health Promotion
• Research on:
o Behavioural and communication theories/models,
o Social, environmental, and behavioural change interventions, and
o Evidence-based strategies and their impact on socio-behavioural, environmental and health outcomes for various populations.
• Analyses of:
o Population health needs using mixed methods and appropriate statistical procedures, e.g., structural equation modelling, and
o Healthcare systems and policies to design health promotion interventions for the general public as well as at-risk populations.
• Planning, implementation, evaluation, and communication of sustainable and effective programmes targeted at health promotion and/or disease prevention for the public.
• Development and advocacy of practices, policies, and laws that will provide supportive and enabling environments for the promotion and improvement of public health.
• Leveraging on structures and mobilisation of organisational, governmental and community resources to create health-promoting environments.

Implementation Science
• Research on attenuating implementation bottlenecks and roadblocks.
• Development and optimisation of implementation strategies and methods to generate sustainable improvements in healthcare and delivery systems.
• Promoting the systemic uptake of research findings to advance positive outcomes in clinical, organisational or policy contexts.

Job Requirements

Requirements:
a) Recognised Doctoral degree in a relevant discipline with strong post-doctoral research records,
b) Track record of publishing in high-impact international peer-reviewed journals,
c) Experienced in leading independent research studies or a component within larger research programmes,
d) Ability to generate and maintain an independent stream of research funding,
e) Ability to teach public health courses at both undergraduate and graduate levels,
f) Ability to work in multidisciplinary teams, and
g) Ability to work with culturally diverse populations.

Responsibilities include:
• Establishing an independent research agenda through extramural funding,
• Developing collaborative, multidisciplinary research,
• Curricula design and teaching,
• Supervision of postgraduate students advising, and
• Contributing to policy/community development in the field of public health.

Application Procedure

For more information on NUS, please visit: www.nus.edu.sg. For more information about the Saw Swee Hock School of Public Health, please visit www.sph.nus.edu.sg.

Please note that only shortlisted candidates will be contacted.

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 incumbent will provide administrative support to the Undergraduate Studies Section in the Dean's Office, Faculty of Science. Duties and responsibilities include, but are not limited to the following -

1) Faculty Co-ordinator for Study Abroad Programmes (SAP)

• Plan, manage and coordinate SAP which covers university-wide and faculty-level global partnership with overseas universities.
• Work closely with Global Relations Office (GRO) on the student exchange programme (SEP) allocation and student placement.
• Manage the administrative processes that include student recruitment, selection interview, pre-departure briefings, module mapping and credit transfer for outgoing students in all SAP.
• The range of programmes that the team handles include the following: Student Exchange Programmes (SEP), French Double Degree Programme, Global Classroom, Summer/Winter Programmes, Global Science Summer Programmes, Incoming/Outgoing Summer Undergraduate Research Opportunities Programme in Science (UROPS), Non-graduating, non-exchange programmes, Financial Assistance Schemes (e.g., NUS Awards for Study Abroad, Science Student Overseas Exposure Fund)

2) Student support for outbound and inbound students

• Handle student enquiries/appeals efficiently.
• For inbound students, to also assist in the logistics required (e.g., accommodation).

3) Publicity

• Manage the Faculty's SAP publicity materials
• Update collaterals, website, student portal etc to ensure information is accurate and timely.

4) Others

• Coordinate and answer enquiries (counter, telephone, email) from students and the public.
• Take minutes for Undergraduate Studies/Student Life meetings.
• Provide assistance at University/Faculty level events such as Open House, Freshmen Orientation Briefing, and Commencement.
• Any other duties as assigned by the Vice Dean.

Qualifications/Requirements/Other Info

1. Degree holder with a positive learning attitude.
2. Proficient in Microsoft applications.
3. Ability to work under pressure and multi-task in a fast-paced environment with multiple timelines and demands.
4. Ability to exercise tact and discretion in handling sensitive and confidential information.
5. Possess effective oral and written communication skills.
6. Mature, independent, adaptive and meticulous.
7. A team player with the ability to interact well with all levels of stakeholders.
8. Willing and able to do overseas travel to partner universities

- Remuneration is based on a 12-month salary structure, with annual variable bonus which is subject to incumbent’s performance and the University/School’s prevailing remuneration policies.

- The incumbent will be emplaced at an appropriate appointment grade based on his/her individual merits.

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 job holder is to work with PI and the research team to conduct Research Characterizing Airborne Pollutants in Urban Environment.

The research activities involve (but not limited to):

• Operating a wide variety of instruments, data retrieval
• Laboratory chemical analyses and speciation
• Modeling chemical reactions of airborne pollutants
• Assisting and contributing to project deliverables, including,
• Planning and conduct experiments, data analyses, progress reporting, report writing, etc.

Qualifications

One or more of (but not limited to) the following:

• Fast learner capable of conducting independent research and proficient literature search, review & summary with strong background in chemical engineering / chemistry / physics
• Sufficient experiences in applying Pythons functions of matplotlib, and numPy, pandas, statsmodels, etc
• Modeling chemical reactions of airborne pollutants through implicit modules
• Experiences of applying machine learning to handle big data
• Experiences of laboratory chemical analyses using chromatography, such as GC-MS-MS, LC-MS-MS, etc
• Experiences of operating instruments measuring physical properties of aerosols
• Experiences in conducting field studies of aerosol and VOC sampling using various instruments
• Proactive in assisting and contributing to quality scientific research publications
• Proficient in technical presentation, slide making, report writing, etc
• Proven rounded and effective team player with strong initiative and ownership of the research project

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

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

Job Description

The Tropical Marine Science Institute (TMSI) invites applicants for the above posts.

Duties and Responsibilities

• Regular field trips onboard a research vessel (may extend outside conventional office hours)
• Field trip planning and preparation
• Water profiling on research vessel using multiparameter optical sensors
• Water quality analysis in the lab using spectrophotometer
• Cell count in the lab under a microscope
• Cell culture and culture maintenance
• Post processing of data collected
• General maintenance of field trip equipment (preventive maintenance, timely calibration)
• General administrative duties (procurement etc.)

Salary will commensurate with qualifications and experience. The appointment will be for a period of one year and extendable depending upon the candidate’s performance.

Only shortlisted candidates will be notified.

Qualifications

• Degree in Marine Science, Science or equivalent
• Good written and verbal communication skills in 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”.

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

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

Job Description

The Tropical Marine Science Institute (TMSI) invites applicants for the above posts.

Duties and Responsibilities

• Regular field trips onboard a research vessel (may extend outside conventional office hours)
• Field trip planning and preparation
• Water profiling on research vessel using multiparameter optical sensors
• Water quality analysis in the lab using spectrophotometer
• Cell count in the lab under a microscope
• Cell culture and culture maintenance
• Post processing of data collected
• General maintenance of field trip equipment (preventive maintenance, timely calibration)
• General administrative duties (procurement etc.)

Salary will commensurate with qualifications and experience. The appointment will be for a period of 6 months and extendable depending upon the candidate’s performance.

Only shortlisted candidates will be notified.

Qualifications and Requirements

• Degree in Marine Science, Science or equivalent
• Good written and verbal communication skills in English

My client is a risk and assurance company, supporting the maritime sector. This role will support RFx activities and negotiations, and supporting Global Category Managers with tactical procurement activities.

Job Description:

• Support RFx activities and negotiations
• Identify, develop, execute and monitor strategic sourcing
• Assist in improvement of Procurement governance, documentation, and P2P processes/system
• Track and support contract renewals, vendor performance management, and supplier audits
• Support Global Category Managers in tactical procurement activities
• Analyse spend data
• Track and report savings
• Assist in market benchmarking exercises and research
• Active support and collaboration with local and regional stakeholders for project implementations
• Provide new ideas and innovative solutions to the team

Requirements:

• Bachelor Degree
• Prior working experience in Procurement, Logistics or Supply Chain roles

Should you be interested in this position, please contact Terence at +65 9645 4048 your resume directly for fast respond.

We regret to inform that only shortlisted candidates will be notified.

By sending us your personal data and curriculum vitae (CV), you are deemed to consent to PERSOLKELLY Singapore Pte Ltd and its affiliates to collect, use and disclose your personal data for the purposes set out in the Privacy Policy available at https://www.persolkelly.com.sg/policies. You acknowledge that you have read, understood, and agree with the Privacy Policy.

PERSOLKELLY Singapore Pte Ltd • RCB No. 200007268E • EA License No. 01C4394• Reg. R23116141 Le Cong Thang

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

At American Express we are focused on providing the best customer experience everyday through a differentiated set of products and services. We are looking for a senior researcher and developer at director level in the field of Artificial Intelligence (AI) and Machine Learning (ML) with focus on developing enterprise-grade data science capabilities in natural language processing (NLP) and conversational AI to support emerging use cases on enterprise-wide level, in close partnership with Technology, Marketing, Servicing and Risk organizations.

We are looking for candidates who have strong expertise and in-depth knowledge in NLP, extensive experience conducting innovative research in NLP and unstructured data domain, as well as a proven track record of developing innovative machine learning solutions to deliver exceptional customer experiences and incremental business values.

Responsibilities

• Conduct original research in machine learning and NLP domain with aim to develop enterprise-grade NLP capabilities to solve impactful business problems
• Identify opportunities on enterprise level to transform business processes and practices with innovative NLP capabilities
• Build strong partnership with multiple stakeholders across the Blue Box to revolutionize NLP capabilities for diversified use cases (marketing, risk and servicing)
• Uplift the innovation and cutting-edge R&D in unstructured data modeling, one of the most dynamic and fast-growing area in today’s AI community

Qualifications

• Masters/PhDs in a quantitative field (Computer Science, Statistics, Mathematics, Physics, Operation Research and etc.)
• 7+ years of hands-on experiences in machine learning modeling, NLP and conversational AI
• Strong expertise and knowledge in cutting-edge deep learning research and its application in NLP domain.
• A strong record of delivering machine learning and/or data products including defining business problems, identifying data strategy, building MVPs, and scaling prototypes to production solutions
• Familiarity and proficiency with agile methods and tools to support project management in a timeline sensitive environment
• Team player with strong communication and leadership skills

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 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 Pitt Lab is a leading computational research group at the Cancer Science Institute of Singapore dedicated to making groundbreaking discoveries in cancer genomics using cutting-edge machine learning techniques. Our research focuses on the causes and consequences of genome instability. We explore this by combining software development and AI/ML over large-scale multi-omics data derived from cancer patients and experimental systems. Our goal is to leverage heterogeneous data to reveal unique insights relevant to fundamental biology and precision oncology.

As a Research Assistant with an emphasis on machine learning, you will play a critical role in our research endeavors. You may refer to https://csi.nus.edu.sg/researcher/jason-pitt/ for more information on Dr Pitt’s research.

Interested applicants should include the following documents in the job application

1. Curriculum Vitae (CV)
2. Summary of past research experience
3. At least 2 referees including their name, contact information (email) and relationship to applicant

Duties and Responsibilities

• Developing and implementing machine learning algorithms for analyzing large-scale cancer genomics data
• Designing and conducting computational experiments to evaluate the performance of machine learning models
• Collaborating with other researchers to interpret results and translate findings into clinical applications
• Writing and presenting research findings at scientific conferences and in peer-reviewed journals

Qualifications

• Master's degree in Computer Science, Statistics, Bioinformatics, or a related field
• Strong programming skills in Python, R, or other relevant languages
• Strong mathematical and/or statistical background
• Some experience with machine learning libraries and frameworks (e.g., TensorFlow, PyTorch, scikit-learn)
• Excellent analytical and problem-solving skills
• Good written and communication skills

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.

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 solutions

Minimum qualifications:

• 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
• 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 initiatives
• 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.

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 solutions

Minimum qualifications:

• 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
• 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 initiatives
• 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.

My client is a risk and assurance company, supporting the maritime sector. This role will support RFx activities and negotiations, and supporting Global Category Managers with tactical procurement activities.

Job Description:

• Support RFx activities and negotiations
• Identify, develop, execute and monitor strategic sourcing
• Assist in improvement of Procurement governance, documentation, and P2P processes/system
• Track and support contract renewals, vendor performance management, and supplier audits
• Support Global Category Managers in tactical procurement activities
• Analyse spend data
• Track and report savings
• Assist in market benchmarking exercises and research
• Active support and collaboration with local and regional stakeholders for project implementations
• Provide new ideas and innovative solutions to the team

Requirements:

• Bachelor Degree
• Prior working experience in Procurement, Logistics or Supply Chain roles

Should you be interested in this position, please contact Terence at +65 9645 4048 your resume directly for fast respond.

We regret to inform that only shortlisted candidates will be notified.

By sending us your personal data and curriculum vitae (CV), you are deemed to consent to PERSOLKELLY Singapore Pte Ltd and its affiliates to collect, use and disclose your personal data for the purposes set out in the Privacy Policy available at https://www.persolkelly.com.sg/policies. You acknowledge that you have read, understood, and agree with the Privacy Policy.

PERSOLKELLY Singapore Pte Ltd • RCB No. 200007268E • EA License No. 01C4394• Reg. R23116141 Le Cong Thang

Responsibilities:

• Develop and implement overseas student recruitment plans to support enrolment targets. Focus markets include: Great China and ASEAN markets.
• Maintain and enhance relationships with existing and new university partners and agents.
• Involve in collaborative projects with local and international university and industry partners.
• Plan and execute outreach activities with overseas university partners, German academic partners and recruitment agents. Examples of such activities include programme info- sessions / scientific talks /education fairs physically and virtually.
• Source and evaluate suitable education fairs for branding and recruitment purposes.
• End-to-end lead nurturing and management – counsel prospective students through various offline and online platforms from the initial inquiry to enrolment.
• Provide analytical reports on the student recruitment trips and numbers.
• Review and refine the recruitment strategy based on the insights and findings and provide strategy reports to management before each admissions cycle.
• Explore and recommend education portals, sites or forums that we should actively engage overseas university students in.
• Initiate and manage alumni activities in China.
• Develop and execute inbound student immersion programs, hosting overseas students annually, and fostering potential candidates for postgraduate programs.
• Partner with the marketing team to develop materials that are required to market and support the planned events and share feedback from the social media platforms.
• Contribute to the development and improvement of a cohesive and integrated admissions framework.
• Undertake any other ad hoc duties related to the above-mentioned scope.

Requirements:

• Recognized degree with a minimum of 3-4 years of work experience, preferably in Recruitment or Sales.
• Experience in the tertiary education industry is highly preferred.
• Experience in recruitment work will be an advantage.
• Candidate must be willing to travel to Great China region and ASEAN countries.
• Self-starter and has the tenacity to see a plan through to execution.
• Hands-on, takes ownership of projects and possess a sense of urgency.
• Outgoing personality - able to get along well with people across all levels.
• Analytical and meticulous, with an eye for detail.
• Strong communication and writing skills.
• A team player.

UWCSEA Dover is seeking a qualified and experienced part time Teacher High School Computer Science from August 2024.

The appointee will be one of a team of 3 Computer Science teachers in the High School, teaching our Grade 9 -10 UWCSEA Computer Science courses and the IB Diploma Programme.

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

Please note that to apply for this role, you must have an internationally recognised qualification and reside in Singapore. You must also be readily available from August 2024.

By applying for this job, you are committed to meet the vaccination requirement by the Singapore Government. You may refer to https://www.mom.gov.sg/covid-19/vaccination-requirements-as-a-condition-for-mom-passes for the latest requirement.

Main Responsibilities

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

Expectations and Standards

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

Person Specifications

• A good degree in Computer Science or a closely related discipline and a recognized teaching qualification or certification are expected.
• Broad experience of curriculum programme development with IBDP experience a distinct advantage.
• Academic expectations include enthusiastic participation in Professional Learning.
• A commitment to diversity and inclusion is essential alongside a willingness to adapt and develop pedagogy to meet the needs of our learners.
• Pastoral expectations include the leadership of a Mentor group.
• Teachers should be willing and eager to participate in the five key elements of a UWCSEA education: Academics; Activities; Outdoor Education; Personal and Social Education, and Service.
• The College expects that teachers will participate enthusiastically in the curricular Outdoor Education experiences which are relevant to their students and will also occasionally volunteer for holiday Outdoor Education trips.
• On average the College expects a yearly contribution of two sessions per week in each season to Activities and/or Service, or equivalent for a part time positions.

Applications

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

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

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

We regret that only shortlisted candidates will be notified.

Job Description

We are looking for highly talented and motivated candidates to work on developing new functional materials. Candidate must be able to work in a fast-paced and dynamic environment with researchers across different disciplines. Candidate should have experience in sensing materials or self-healing materials.

Qualifications

Bachelor or above degree in Material Sciences, Electrical/Electronics, Applied sciences, basic sciences, technology, mechanical engineering or other relevant fields. Experience with data analytics/AI models a plus.

Tanglin Mission

Tanglin Trust School Singapore has a long tradition of providing British-based learning with an international perspective. At Tanglin we strive to make every individual feel valued, happy and successful. Responsibility, enthusiasm and participation are actively encouraged and integrity is prized. Working together in a safe, caring yet stimulating environment, we set high expectations whilst offering strong support, resulting in a community of lifelong learners who can contribute with confidence to our world.

Our Vision

We aspire to be the best school in the world with a dynamic learning community which nurtures and inspires every individual to be the best they can be. Our core values of Respect, Responsibility and Purpose are at the heart of everything we do across the school.

The Role

We require an outstanding teacher to teach Computer Science in the Middle School (11-14 years old). A colleague with commitment, integrity and excellent communication skills. A teacher with flexibility, resilience, and a caring and kind approach towards students. A learner with a drive to develop creative new approaches to student learning within a collaborative environment.

The role reports to Assistant Head of Faculty (Computer Science) (Senior School).

Key Responsibilities

1. Learning & Teaching

• Manage an effective, enthusiastic and safe learning environment.
• Deliver the curriculum to assigned classes in accordance with the School’s timetable.
• Differentiate lessons according to the abilities and learning needs of individual students.
• Promote independent learning by adopting teaching and learning strategies which develop the competence and confidence of every pupil.
• Support nurturing the attributes of the Tanglin Learner Profile with its emphasis on ‘balance’ ‘independence’ and ‘resilience’ as key features of student development.
• Ensure the thorough implementation of subject specifications, teaching schemes, assessment policies and reporting procedures.

2. Planning & Development

• Assist the AHOF in assessing and developing the Middle School (11-14 Years old) Computing curriculum in the school.
• Assist the AHOF in identifying areas for professional development within the Computer Science department.
• Assist the AHOF in identifying areas for development in Computer Science within the broader aims of the school development plan.
• Collaborate with colleagues in the planning and delivery of the schemes of work, including the choice of appropriate teaching and learning methods to meet the needs of the subject, and of different students.
• Keep abreast of current developments in Computer Science and to assist the AHOF in adapting curriculum content and methods of teaching and examining as appropriate.

3. Management of Resources and the Teaching Environment:

• Assist the AHOF in identifying appropriate resources within the limits of the departmental budget.
• Assist the AHOF/HOF in ensuring health and safety policies are followed within the department.
• Assist the AHOF in ensuring that departmental rooms present stimulating environments, which help to influence pupils’ attitudes positively towards the Computer Science.

4. Assessment, Recording & Reporting

• Ensure students’ work is regularly assessed according to Computer Science department policy and that homework is in line with school policy.
• Report to parents in accordance with the school’s reporting policy as laid down in the Staff Handbook.
• To use information gained from assessment, recording and reporting procedures to generate further improvement in student achievement.
• Assist the AHOF in the setting and marking of school examinations and to supervise entries for external examinations.

5. Pastoral and Co-Curricular

• When required, take on a form tutor role in the Senior School and fulfil the responsibilities of that position.
• Follow the School’s policies and procedures with regard to discipline and behaviour, daily routines, duties, homework, leave of absence, and visits, as laid down in the Staff Handbook.
• Contribute to co-curricular activities that broaden pupils’ experiences and contribute to the general life of the school.
• Be responsible for reporting any concerns about a child to the Designated Safeguarding Lead.

6. Communication and Liaison

• Promote the study of Computer Science amongst students and parents.
• Attend and contribute to meetings of a professional nature with HOF, HOY, SSLT and in other circumstances when requested.
• Liaise with the AHOF in respect of pupil records, rewards and sanctions.
• Maintain appropriate links with teaching colleagues in all sections of the school and foster cross-curricular links where appropriate.
• Liaise with members of the Learning Support Team with regard to individual students who may have additional needs, to ensure that those needs are understood, planned for and met.
• Liaise with pastoral staff, including form tutors, Heads of Year, the Assistant Heads of School and the Head of Careers on matters pertaining to the study of Computer Science and.
• Contributing to the strengthening of the parent-teacher partnership in individual and whole school initiatives as and when required.
• Assist the AHOF in developing effective links with the wider community, including business and industry, in order to extend the study of Computer Science and enhance teaching and learning.

My client is a risk and assurance company, supporting the maritime sector. This role will support RFx activities and negotiations, and supporting Global Category Managers with tactical procurement activities.

Job Description:

• Support RFx activities and negotiations
• Identify, develop, execute and monitor strategic sourcing
• Assist in improvement of Procurement governance, documentation, and P2P processes/system
• Track and support contract renewals, vendor performance management, and supplier audits
• Support Global Category Managers in tactical procurement activities
• Analyse spend data
• Track and report savings
• Assist in market benchmarking exercises and research
• Active support and collaboration with local and regional stakeholders for project implementations
• Provide new ideas and innovative solutions to the team

Should you be interested in this position, please contact Terence at +65 9645 4048 your resume directly for fast respond.

We regret to inform that only shortlisted candidates will be notified.

By sending us your personal data and curriculum vitae (CV), you are deemed to consent to PERSOLKELLY Singapore Pte Ltd and its affiliates to collect, use and disclose your personal data for the purposes set out in the Privacy Policy available at https://www.persolkelly.com.sg/policies. You acknowledge that you have read, understood, and agree with the Privacy Policy.

PERSOLKELLY Singapore Pte Ltd • RCB No. 200007268E • EA License No. 01C4394• Reg. R23116141 Le Cong Thang