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

Principal Investigator: Associate Professor Catherine ONG, Department of Medicine

The Infectious Diseases Research Laboratory at the Department of Medicine, Yong Loo Lin School of Medicine is looking for highly motivated and well-qualified candidates for the post of Research Fellow to work on Murine models of Tuberculosis. The lab works on translational research i.e. spanning cellular, murine and human TB research. This position provides an excellent opportunity for persons looking to further experience in translational research including robust interactions with clinicians.

https://medicine.nus.edu.sg/medi/catonglab/index.html

https://discovery.nus.edu.sg/5460-catherine-w-m-ong

Main Duties and Responsibilities

The Research Fellow will design and execute experiments in M. tuberculosis infection of mice, processing of samples, and associated readouts including flow cytometry, immunohistochemistry, molecular biology including immunofluorescence. State-of-the art techniques include spatial transcriptomics and bioinformatics can be learnt and applied. Spatial transcriptomic work is also expected from human tissues. The person will lead in the day-to day running of experiments in the Biosafety Level 2 (BSL2) and BSL3 setting, and is expected to work independently, in coordination with other junior and senior team members in the laboratory and clinicians. Supervision of junior lab members such as undergraduates and postgraduate PhD students is expected. Work with live M. tuberculosis is expected in a BSL3 setting. BSL3 experience would be advantageous but not a requirement.

Qualifications

Applicants should have:

• A PhD degree in life science and skilled in handling murine models
• A minimum of 2 years of BSL2 experience with skills in molecular biology and immunohistochemistry/immunofluorescence
• Ability to help mentor and train junior staff members and students
• A proven track record of outstanding written, oral presentation and communication skills
• Excellent skills in project management
• Ability to work on grant proposals including writing, meeting with collaborators, and reviewing proposal opportunities

All interested applicants should send their job application interest, full CV with the cover letter and the reference letters of three referees with the referees’ contact details to the NUS Career Portal.

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.

About AIDF

The Asian Institute of Digital Finance (AIDF) is a university-level institute at the National University of Singapore (NUS), jointly founded by the Monetary Authority of Singapore (MAS), the National Research Foundation (NRF) and NUS. AIDF aspires to be at the forefront of research-driven Fintech innovation in Singapore by acting as an experimental site for developing digital financial technologies, as well as nurturing current and future Fintech researchers and practitioners in Asia.

The Credit Research Initiative (CRI), one of the flagship research initiatives under AIDF, is a non-profit undertaking founded in 2009. Pioneering the "public good" credit risk measure, the initiative is committed to advancing big data analytics and providing directly useful credit intelligence to academic and professional communities. Our clients include international regulatory authorities (such as the IMF and MAS) and multinational financial institutions around the world.

Position Overview

An exciting opportunity exists to join NUS-AIDF as a Research Assistant under different teams involved with big-data analytics. You will participate in the production of our data products and contribute to the ongoing research and development of the flagship NUS-CRI Probability of Default model. This opportunity will challenge successful applicants and is a great learning and development opportunity for those interested in finance and risk management.

Career Benefits:

• Gain a detailed understanding of a cutting-edge quantitative credit risk model.
• Further your knowledge in quantitative modeling and financial analysis.
• Involve yourself in emerging technologies (e.g. cloud/grid computing, GPU computing, FPGA) in the Fintech field.
• Benefit from a world-class research environment at the forefront of credit risk, with a motivated research team and a well-established network spanning across a multitude of industries.
• Opportunities to interact with and learn from financial and tech professionals, industry experts, and thought leaders.

Qualifications

• Fundamental quantitative skills, preferably those obtained during a bachelor’s degree in mathematics, computer science, economics, finance etc.
• Good programming skills (Julia, Python, Matlab, SQL, etc.) or financial fundamentals are ideal
• Good team player with strong sense of responsibility and strong communication skills
• Highly self-motivated
• Willing to learn new technical skills

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

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

We regret that only shortlisted candidates will be notified.

Job Description

The National University of Singapore invites applications for Research Assistant (MACC) – SINGER Study Operation in the Department of Pharmacology, Yong Loo Lin School of Medicine.

Our academic and research staff have outstanding research publication and grant funding track records in research areas such as cancer pharmacology, neuropharmacology, immunopharmacology, pharmacokinetics, and drug discovery and development. Pharmacology is the anchoring department for the Drug Discovery and Optimisation Platform (DDOP), Memory Aging Cognitive Centre (MACC) at NUHS, and the NUS Neuroscience Phenotyping Core (NPC). The Department also has a strong presence in University-level research institutes including the Cancer Science Institute (CSI), and the Life Sciences Institute (LSI) Neuroscience and Immunology Programs.

More information on the department is available at www.macc.sg

Appointments will be made on a 1 year- contract basis with option to renew.

Purpose of the post

To assist investigators in conducting a large-scale lifestyle intervention study according to study protocol, Singapore Guideline for Good Clinical Practice (SGGCP) and other applicable regulatory and ethical requirements as well as institutional policies.

Main Duties and Responsibilities

Research patient/Subjects Management

1. Gate keeping of the recruitment progress. Assist investigators in the screening and recruitment of potential patients/healthy volunteers as according to trial protocol.
2. Assist investigators in obtaining informed consent
3. Maintain and update screening log & enrolment logs
4. Schedule appointments for patients/subjects
5. Perform delegated procedures as required according to trial/study protocol
6. Ensure patients’/subjects’ compliance to trial medication / intervention
7. Label and dispatch specimens to the relevant laboratory as per condition specified in the trial protocol

Research Patient/Subjects Management

1. Label and store specimens in the condition as specified in the trial protocol
2. Trace laboratory and diagnostic reports (if any)
3. Assist the investigator(s) in adverse events / serious adverse events reporting
4. Perform high quality data collection through data collection forms or tools; Handle data entry and validation of study data
5. Maintain confidentiality on subjects and study data

Clinical Trial Administration

1. Plan, organise and co-ordinate routine trial study activities workflow (i.e setting up recruitment strategies and material & etc)
2. Provide effective updates to the stakeholder on the work done
3. Liaise with the relevant departments for logistic and finances related matters
4. Document and tabulate financial payments received and / or made to support the study
5. Up keeping study materials including procurement and inventory tracking.
6. Maintain Investigator Site File, tracking logs and ensure that all study documents are complete and up to date
7. Attend trial-related initiation, close-up and other trial related meetings

Secondary Responsibilities and Duties (20%)

1. Perform administrative duties and ad-hoc project as assigned by the Director/Manager

Qualifications

Degree in life sciences, nursing, or equivalent; candidate with medicine background will be of advantage.

1. Able to work independently and meticulously
2. Good written and communication skills. Besides English, well-verse in Mandarin is a must as our study subjects are elderlies and a big portion of them can only speak Mandarin. Other common Chinese dialects will be an added advantage.
3. Possess strong interpersonal skills
4. Flexibility to work on weekends (if needed. i.e for outreach event)
5. Team player

Application

Remuneration will be commensurate with the candidate’s qualifications and experience. Informal enquiries are welcome and should be made to Dr Yap Kwong Hsia at [email protected]

Formal application: Please submit your application, indicating current/expected salary, supported by a detailed CV (including personal particulars, academic and employment history, complete list of publications/oral presentations and full contacts of 3 referees.

We regret that only shortlisted candidates will be notified.

Responsibilities

The Research Analyst will primarily be responsible for generating investment ideas in his/her assigned area of market coverage, and communicating these ideas to the investing public predominantly through original research articles and presentations.

• Conduct fundamental research within assigned area of market coverage using publicly available information sources, including financial statements, company annual reports, published research, and online databases
• Generate high-conviction investment ideas (including stocks, unit trusts, and ETFs) across various geographical markets and/or sectors. Work with other members of the research team to evaluate a comprehensive range of active and passive products.
• Communicate these ideas to the investing public, as well as internal stakeholders, through various channels, including original research articles and seminar presentations.
• Participate in discussions and contribute ideas to portfolio decision-making within the team’s disciplined investment process.
  

Requirements

• Bachelor degree holder in a related discipline (accountancy, finance or business administration), preferably with at least one year of investment research experience. Fresh graduates with the right aptitude and attitude are welcomed to apply for this position.
• Strong analytical skills, with a deep understanding of financial statements and equity valuation methodologies. Able to distil large amounts of information into an investable thesis.
• Excellent command of both spoken and written English, with a great story-telling ability.
• Demonstrated interest in and passion for investing
• Able to multi-task and meet constant deadlines

Job Purpose :

• Assist the teachers in planning, developing, delivering and evaluating appropriate individualized educational services, learning programmes and instructions for special needs students in both self-contained and integrated settings.

Key Responsibilities

• Assist teachers in managing students in classrooms and in community-based activities
• Supervise and assist individual or small groups of students in activities/educational tasks set by teachers
• Assist teachers in preparation of instructional materials and/or classroom environment for lessons
• Provide support for students with MID, Autism and other developmental disabilities. Priority is to support these students to develop skills to enhance personal care and independence, and support daily lessons/activities in and beyond the classroom including student profiling.
• Work with functional committees to plan and implement school-wide educational and recreational programmes.
• Collaborate and consult with allied professionals, parents/caregivers and external agencies to ensure quality support and well-being of students.

Job Requirements:

• Minimum GCE “N” level, NITEC, polytechnic diploma or equivalent
• Possess good Time Management, Problem Solving and Decision Making and Effective Oral and Written Communications Skills.
• Possess prior experience educating persons with Mild Intellectual Disabilities (MID)
• Possess working knowledge of educational technology applications
• Experience in diagnosing and assessing learning disorders
• Proven effective classroom and student behaviour management skills
• Knowledge of current special education practices and methodologies

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

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

We regret that only shortlisted candidates will be notified.

Job Description

To conduct research in area of functional polymers and hydrogels

Qualifications

1. A Ph.D. degree in areas of chemistry, Polymer Science, or Physical Chemistry of materials.
2. Equipped with skills in polymer design and synthesis
3. Good at materials characterization using TEM, SEM, SAXS/WAXS.
4. Self-motivated and demonstrated a good track record in quality publication.
5. 1-2 years postdoc experience is an advantage while Ph.D. graduates with no prior experience are also welcome to apply.

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

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

We regret that only shortlisted candidates will be notified.

Job Description

The National University of Singapore invites applications for the position of Research Fellow in the Department of Computer Science, School of Computing (SoC). SoC is strongly committed to research excellence in all its dimensions: Searching for fundamental results and insights in developing novel computational solutions to a wide range of applications, building largescale experimental systems, developing theories and policies for effective management of information systems in organizations, and improving the well-being of society. We seek to play an active role both internationally and locally in the core and emerging areas of Computer Science and Information Systems.

The Research Fellow will be responsible for working closely with the Principal Investigator on one or more projects.

Description

Fuzzing is a powerful technique for finding security vulnerabilities in systems and is used by corporations regularly. In this work, we will study the role of AI in cybersecurity - by aiding fuzzing techniques with large language models.

Tasks

• Conduct Research on AI-Aided Fuzzing: Lead research efforts to explore the integration of large language models (LLMs) with fuzzing techniques for identifying security vulnerabilities in systems. Design experiments and methodologies to evaluate the effectiveness of AI-aided fuzzing in comparison to traditional methods.
• Develop AI Models for Fuzzing Enhancement: Develop and implement AI models, including deep learning architectures, reinforcement learning algorithms, and natural language processing techniques, to enhance fuzzing capabilities. Train these models on relevant datasets to improve their ability to generate meaningful inputs for fuzzing.
• Collaborate with Interdisciplinary Teams: Collaborate with interdisciplinary teams comprising cybersecurity experts, AI researchers and software engineers to integrate AI-aided fuzzing techniques into existing cybersecurity frameworks. Communicate findings and insights effectively to team members and stakeholders.
• Publish Research Findings: Document research findings in academic publications, conference papers, and technical reports. Disseminate knowledge gained from the study of AI in cybersecurity, particularly in the context of fuzzing, to the broader research community through presentations and workshops.

Qualifications

• Ph.D. in Computer Science, Cybersecurity, or a related field: A terminal degree in a relevant field is essential to demonstrate the depth of knowledge and expertise required for conducting advanced research in AI and cybersecurity.
• Research Experience in Fuzzing and AI: Proven track record of conducting research in fuzzing techniques and artificial intelligence, with a focus on deep learning, natural language processing, or reinforcement learning. Experience in applying AI methods to cybersecurity problems is highly desirable.
• Publication Record: Demonstrated ability to publish research findings in reputable conferences and journals relevant to AI, cybersecurity, or software engineering. Strong publication record in top-tier venues indicates the ability to contribute novel insights to the field.
• Programming and Software Development Skills: Proficiency in programming languages such as Python, C/C++, or Java is necessary for developing and implementing AI algorithms and fuzzing tools. Experience with software development methodologies and version control systems is advantageous.
• Analytical and Problem-Solving Skills: Strong analytical skills and problem-solving abilities are essential for designing experiments, analyzing data, and deriving actionable insights from research findings. Experience with experimental design and statistical analysis techniques is beneficial.
• Communication and Collaboration Skills: Excellent written and verbal communication skills are required to convey complex ideas and technical concepts to both technical and non-technical audiences. Ability to collaborate effectively with interdisciplinary teams and communicate research findings clearly is crucial.
• Self-Motivation and Initiative: Demonstrated ability to work independently and take initiative in driving research projects forward. Proven track record of self-motivated learning and exploration of new methodologies and technologies in the field of AI and cybersecurity.
• Candidates who meet these qualifications and possess a strong passion for advancing the state-of-the-art in AI-aided cybersecurity, particularly in the domain of fuzzing, are encouraged to apply.

Only shortlisted candidates will be notified.

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

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

We regret that only shortlisted candidates will be notified.

Job Description

The successful candidate will work with Dr Liu Boxiang on single-cell multi-omic analysis under a project on developmental trajectory of pancreatic islets.

The main responsibilities of the position include:
- Generating single-cell multi-omic data
- Single-cell multi-omic data analysis
- Manuscript writing

Qualifications

• Qualifications / Discipline: PhD in Bioinformatics

• Skills: RNA-seq and single-cell multi-omic analysis, sequencing data generation

• Experience: PhD in bioinformatics; industry research experience preferred.

Position Overview:

Black Sesame Technologies is seeking a talented and innovative Machine Learning Research Scientist with expertise in software/hardware co-design to drive advancements in autonomous driving technologies. This role offers a unique opportunity to bridge the gap between machine learning algorithms and hardware design, contributing to high-performance, efficient, and scalable solutions for AI-driven systems.

Responsibilities:

• Conduct in-depth research and analysis of cutting-edge machine learning algorithms, with a primary focus on applications in autonomous driving.
• Monitor and forecast industry trends in AI technologies to identify opportunities for innovation and improvement.
• Evaluate the computational and memory requirements of various AI models and operators, identifying optimization opportunities.
• Collaborate closely with chip architects and engineers to design and implement software/hardware co-designed solutions that enhance chip performance, efficiency, and scalability.
• Develop comprehensive technical documentation and presentations to effectively communicate complex concepts to both technical and non-technical audiences.
• Stay connected with academic and industry research communities to remain at the forefront of AI and machine learning advancements.

Qualification/ Requirements:

• Education: Master’s or PhD in Computer Science, Electrical Engineering, or a related technical field with a strong focus on machine learning.
• Experience: Proven experience in developing and analyzing machine learning algorithms.
• Programming Skills: Proficiency in programming languages such as Python and C++.
• ML Frameworks:Hands-on experience with machine learning frameworks like TensorFlow and PyTorch, and deploying them on hardware accelerators.
• Collaboration: Demonstrated ability to work effectively in a team-oriented, cross-disciplinary environment.
• Co-Design Expertise: Strong understanding of software/hardware co-design principles and their impact on system performance is highly preferred.

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

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

We regret that only shortlisted candidates will be notified.

Job Description

The successful candidate will work with Associate Professor Chua Lay Lay on Processing and characterization of polymer batteries under a project on Organic Thin-Film Energy Sources for Highly Distributed Nanopower Generation and thermal crosslinker.

The main responsibilities of the position include:
Processing and characterization of novel organic n-type and p-type storage and transport materials.

Qualifications

Qualifications / Discipline: PhD in Chemistry or Materials Science

Skills: Organic synthesis and spectroscopy techniques.

Experience: Organic semiconductor processing, FTIR, UV-VIS, XPS

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 Experimental Marine Ecology Laboratory (EMEL) within the Department of Biological Sciences at the National University of Singapore is seeking to appoint a Research Assistant to work on a major new project “Maximizing the beneficial environmental effects of tropical hybrid shorelines (MaxBETH)”. This interdisciplinary research aims to determine how hybrid coastal protection systems can be implemented at large scales in Singapore as well as assessing the challenges and benefits of up-scaling and identifying the effects of hybrid shorelines on biophysical processes.

The main responsibilities of the position include:

• Carry out geochemical surveys
• Conduct field and lab work to measure carbon flux
• Assist in administrative work to support the project
• Coordinate with sister projects
• Prepare research manuscripts, reports, and presentations

Job Requirements

Bachelor’s and/or Masters degree in Earth Sciences, Geochemistry Marine Biology, Ecology, Geography, Environmental Studies, or other similar discipline. The candidates should have a strong passion for marine environment-related research. Research skills include geochemical survey techniques and analysis, sampling designs and lab protocols to measure carbon flux, statistical analysis, writing abilities, as well as the capacity to work within a diverse group of scientists, are desirable. Candidates with previous first-authored ecological publications will be given priority.

Skills:

• Geochemical survey techniques and analysis
• Sampling designs and lab protocols to measure carbon flux
• Strong written and interpersonal communication skills
• Excellent time and resource management

Experience:

• Ability to conduct survey and analytical work in field and lab
• Familiarity with nature-based solutions/ecological engineering
• Evidence of published research would be preferred

The vision of our research program is to retain the workflows of software construction as they exist today in the form of Continuous Integration (CI) systems, and yet support automated software evolution with formal correctness guarantees, thereby engendering trust in automatically generated code. Our research program can help achieve such a vision via analysis, verification, and test generation. Applications of repair studied in the program will include security vulnerability repair, patch transplantation across versions of major software systems such as Linux, as well as the use of agentic workflows to automate software evolution.

You will work on pioneering projects that advance the application of AI and ML within the realm of software engineering. This role offers the opportunity to conduct cutting-edge research, develop novel algorithms, and contribute to the development of software tools that enhance system performance, reliability, and flexibility.

Responsibilities

• Conduct applied research in integrating AI/ML techniques with software engineering practices to improve code quality, testing, and software maintenance.
• Design and implement experimental prototypes to demonstrate the feasibility and effectiveness of new methodologies.
• Collaborate with cross-functional teams, including AI researchers, software engineers, and product managers, to translate research findings into practical applications.
• Stay informed about the latest advancements in AI/ML and software engineering to identify emerging trends and opportunities for innovation.
• Publish research findings in leading academic conferences and journals, and present innovative work to the broader research community.

Requirements and Skills

• Master's or Bachelor’s degree (or equivalent) in computer science, information technology, engineering, or related field.
• Strong research background in AI, ML, and/or SE with a solid publication record in A and A* level conferences/journals. Minimum of 2 publications in top-tier conferences or journals.
• Strong problem-solving skills and ability to work independently in a research setting.
• Excellent communication skills for conveying complex technical concepts.
• Experience in developing tools or frameworks that utilize AI/ML to enhance software development processes.
• Experience with DevOps tooling, such as Kubernetes, Docker, and Ansible.
• Experience with general-purpose languages, such as Java, C#, C/C++, Python, Rust
• Familiarity with techniques for automated code generation, program verification, program synthesis, or software testing using AI/ML.
• Strong knowledge in state-of-the-art research in ML for Software engineering, such as experience in Prompt Engineering, Agentic Systems, Chain of Thought applications

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 NUS Career Portal.

Qualifications

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

Please register your profile with us here as we have many 1-1/small group tuition assignments available(fill in form take less than 5 mins):

https://tinyurl.com/TuitionCentreJobRegistration

Level to Teach: Secondary

Subject: Science

Timing: Weekday 430pm/6pm onwards, Weekend 930-430pm (duration can be shorter)

No. of work day: Flexible

No. of hours/week: Flexible

As for work days and hours:

Once agreed/confirm have to commit till the end of academic year (November 2025

Salary: $90-$150/day for 4-6 hours per day or $25-35/hour (negotiable)

Requirements:

• Minimum Qualification 5 GCE O levels credits/ Diploma/ A Levels
• Preferably with 1 of experience in teaching expereince but those without experience are welcome to apply as well as training will be provided.

Minimum commitment: till the end of academic year

Feel free to indicate your availability and which level and subject your are confident in teaching. We have various subjects able to cater for you.

Apart from being Part Time Tutor in our Centre, we are having 1-1 home tuition assignments too. We will be able to share suitable assignments to you once you fill in the form below.

If you are keen, please fill in this short form and shortlisted candidate will be asked for a Zoom interview.

https://tinyurl.com/TuitionCentreJobRegistration

Please register your profile with us here as we have many 1-1/small group tuition assignments available(fill in form take less than 5 mins):

https://tinyurl.com/TuitionCentreJobRegistration

Level to Teach: Primary /Secondary

Subject: English

Timing: Weekday 430pm/6pm onwards, Weekend 930-430pm (duration can be shorter)

No. of work day: Flexible

No. of hours/week: Flexible

As for work days and hours:

Once agreed/confirm have to commit till the end of academic year

Salary: $90-$150/day for 4-6 hours per day or $25-35/hour (negotiable)

Requirements:

• Minimum Qualification 5 GCE O levels credits/ Diploma/ A Levels
• Preferably with 1 of experience in teaching expereince but those without experience are welcome to apply as well as training will be provided.

Minimum commitment: till the end of academic year

Feel free to indicate your availability and which level and subject your are confident in teaching. We have various subjects able to cater for you.

Apart from being Part Time Tutor in our Centre, we are having 1-1 home tuition assignments too. We will be able to share suitable assignments to you once you fill in the form below.

If you are keen, please fill in this short form and shortlisted candidate will be asked for a Zoom interview.

https://tinyurl.com/TuitionCentreJobRegistration

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 MindChamps 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

Job Requirements:

• Diploma or higher in any discipline with minimum of 2 years of teaching experience with primary school students.
• Able to teach primary school subjects
• Possess good communication and classroom management skills.
• Enthusiastic & energetic and has a positive mindset to learn and grow together with the company.
• Creative and loving energy with a positive disposition
• Excellent communication and classroom management skills

Job Purpose

This role drives the development and successful implementation of a highly effective Global Life Science and Healthcare sector product strategy for DGF Airfreight in the region. Collaborate with the Global-, Regional- and Country Product Heads and Sales to align the sector product strategy for the region. Take ownership of market and sector knowledge, leading the sub-function for the sector product within the DGF Region. Provide input and lead the implementation of the functional strategy to develop segment strategies and business plans. Enhance the performance of sector management, supporting business growth objectives in accordance with industry and market needs, division strategy, objectives, and Group guidelines and policies.

Key Tasks

1. Sector Product Strategy:

· Contribute to the sector product strategy in alignment with the overall product strategy, objectives, and policies.

· Drive operational plans, measures, and budgets to achieve defined results for the sector.

· Execute and implement the sector strategy and roadmap in relevant geographies.

· Produce, coach, and develop global win plans for the sector community and opportunities.

2. Product Development:

· Identify key trends in the industry and collaborate with stakeholders to develop innovative solutions.

· Establish regional sector-specific infrastructure and operations together with regional or country teams.

· Establish commercial and operational guidelines and processes to drive product growth & margins.

· Monitor competitor activities, develop segment strategies and business plans for the sector.

· Provide high-level advice within the sector and regions to counterparts globally.

· Stay updated with sector-specific regulations and standards and communicate any changes or updates to relevant teams.

3. Sector Business Development:

· Serve as the senior point of contact for sector-related customers or shipments within the community and region.

· Lead, organize, and control highly strategic business activities and product initiatives.

· Support business development, account management, and sales activities for the specific sector.

· Participate in business development opportunities, including QBR and RFQ activities, for the sector and act as product sponsor.

· Direct the development of marketing plans, determine research priorities, recommend sales channels, and provide direction for product promotion.

4. Operational Excellence:

· Identify areas for improvement and implement strategies to enhance operational efficiency and effectiveness for the sector.

· Foster a culture of continuous improvement and best practices sharing across the sector and industry management.

· Implement performance metrics and KPIs to monitor and measure operational performance, ensuring alignment with defined goals and objectives.

· Collaborate with cross-functional teams to streamline processes, optimize resources, and enhance overall operational performance.

· Identify and mitigate operational risks within the sector, ensuring compliance with industry regulations and standards.

5. Product Quality & Compliance:

· Develop and implement quality controls and compliance measures to ensure adherence to sector-specific regulations, standards, and guidelines.

· Establish and monitor processes and procedures to ensure product quality and consistency across the sector.

· Conduct regular audits and assessments to identify areas of non-compliance and implement corrective actions.

· Collaborate with internal stakeholders to ensure that sector operations meet all applicable compliance requirements.

· Provide guidance and support to the sector in maintaining a high level of quality and compliance in all operations.

Management Responsibility

· Develop a comprehensive EBIT growth plan and detailed financial projections for the sector product regionally.

· Oversee regional network capabilities and developments to ensure sector product quality and compliance.

· Collaborate with multiple project teams, promptly communicate resource needs to the Global Sector Product Head and the Regional Airfreight Head.

· Provide indirect management oversight, including dotted line responsibility for product members and coaching support.

Skills

• Technical Skills: Deep understanding of relevant sector- & industry standards and market trends.
• Communication Skills: Strong written and verbal communication skills.
• Analytical Skills: Ability to analyze information and make data-driven decisions to solve problems, often applying critical thinking.
• Teamwork and Collaboration: Excellent collaborator and mediator to deliver results.
• Adaptability and Flexibility: Adapt to changing circumstances, handle multiple tasks, and work under pressure.
• Time Management and Organization: Ability to prioritize tasks, meet deadlines, and operate in matrix organization.
• Leadership Skills: Ability to motivate and inspire others, delegate tasks, and provide guidance.

Qualifications & Key Requirements

• Bachelor’s degree (or equivalent)
• Minimum of 8 years of experience in forwarding and/or sector-related companies.
• Extensive experience collaborating with global, regional, and country organizations to successfully implement solutions.
• Proven track record of achieving sector growth in terms of revenue and gross profit.
• Ability to navigate and excel in a matrix organization structure.
• In-depth knowledge and experience in freight forwarding and the logistics industry.
• Strong understanding of logistics infrastructure and service providers.
• Expertise in the sector industry, with a deep understanding of its dynamics.
• Demonstrated sales success and a solid track record in the sector industry.
• Strong project management skills, with the ability to successfully lead and execute projects.
• Excellent knowledge of main markets and local regulations related to sector commodities.
• Fluent in English, with strong communication and language skills.

UWCSEA is seeking a passionate and committed Teacher of High School Physical Education and Sports Science to join our Dover Campus in August 2025.

The successful candidate must have a tertiary qualification in relevant subjects and a recognised teaching qualification, with successful experience teaching secondary physical education. The successful candidate will teach core Wellness and Physical Education classes for all grade 9 and 10 students and possibly teach our bespoke UWCSEA Sport Science course available as an option to Grade 9 and 10 students. UWCSEA delivers IB DP Sport, Exercise and Health Science at both Higher and Standard level in Grades 11 and 12, prior experience of teaching IB Sport Science would be an advantage. The successful candidate will be an excellent and inspiring practitioner who is passionate about delivering an engaging concept based PE curriculum.

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 collaborating with a large vibrant team of dynamic teachers who comprise the Physical Education Department. UWCSEA is a large campus and has excellent and extensive sporting facilities. The appointee will teach mostly in High School, although may also be required to teach some Middle School classes and will play an active role in continually supporting our positive environment in order for all students to thrive.

Main Responsibilities

• Teachers construct learning experiences that challenge students, support the diversity of learners in each class. This includes demonstrating a strong commitment to concept based teaching and learning, along with a commitment to putting intercultural understanding into practice within the classroom.
• Teachers ensure assessments support ongoing learning and provide timely, relevant and appropriate feedback to students.
• Teachers keep parents informed about their children's learning, and are proactive in communication with parents.
• Teachers demonstrate effective class management that shows an understanding of the academic, social and emotional dimensions of learning.
• Teachers support personal and social emotional learning through academic classes. As Mentors they also work collaboratively with the Heads of Grade, Counselling, Learning Support and EAL departments as part of a student support services team in order to support all students in thriving.
• Teachers contribute positively to the collaborative culture of the Physical Education Department and all elements of the learning programme.
• Capable and willing to coach teams throughout the year as part of the Activity programme.

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 and a recognised teaching qualification or certification are expected.
• Successful prior experience of teaching Physical Education in the 14-­18 age range is required.
• Experience of teaching academic PE/Sports Science courses is required.
• Specific experience of IB Sports, Exercise and Health Science is an advantage.
• Demonstrated excellence in interpersonal skills, experience and pedagogical knowledge in areas outlined by the UWCSEA Learning Principles and the UWCSEA Profile.
• Demonstrated ability to collaborate effectively, communicate clearly, self­-manage and to think and act in critical, creative and innovative ways to support teaching and learning.
• Academic expectations include enthusiastic participation in Professional Learning
• Pastoral expectations include the leadership of a mentor group unless the teacher is exempted due to other responsibilities
• On average the College expects a yearly contribution of two sessions per week in each season to Activities and/or Service.
• Teachers should be willing and eager to participate in the five key elements of a UWCSEA education: Academics; Activities; Outdoor Education; Personal and Social Education and Service
• The College expects that teachers will participate enthusiastically in the curricular Outdoor Education experiences which are relevant to their students and will also occasionally volunteer for holiday Outdoor Education trips.
• A commitment to diversity and inclusion is essential alongside a willingness to adapt and develop pedagogy to meet the needs of our learners.

Applications

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

TikTok is the leading destination for short-form mobile video. Our mission is to inspire creativity and bring joy. TikTok has global offices including San Jose, Los Angeles, New York, London, Paris, Berlin, Dubai, Singapore, Jakarta, Seoul and Tokyo.

Why Join Us

Creation is the core of TikTok's purpose. Our platform is built to help imagination thrive. This is doubly true of the teams that make TikTok possible.

Together, we inspire creativity and bring joy - a mission we all believe in and aim towards achieving every day.

To us, every challenge, no matter how difficult, is an opportunity; to learn, to innovate, and to grow as one team. Status quo? Never. Courage? Always.

At TikTok, we create together and grow together. That's how we drive impact - for ourselves, our company, and the communities we serve.

Join us.

About The Team:

The mission of the TikTok Eng-AI Innovation Center is to explore cutting-edge AGI technologies, including but not limited to LLM, multi-modal LLM (video/image/audio/text/code), etc., to let machine better understand user creations on Tiktok platform. Regarding to video/image/audio/text, enhanced content understanding can bring better user experience of searching, recommendation, and can more accurately identify and defend internet abuse and fraud on our platform. Regarding to code, our developed LLM aims to automatically re-organize/optimize Tiktok codebase, and make the code/coding become more accessible for Tiktok engineers.

Job Overview

We are looking for an experienced Data Science & Engineering expert to join our team and be responsible for data collection and preparation for large language models (LLMs). You will be responsible for sourcing high-quality data from various sources, managing external annotation teams, and working closely with the R&D team to ensure model training and optimization.

Key Responsibilities

Data Acquisition:

- Responsible for data collection for large language models, including:

- Sourcing ready-made data from public datasets, commercial data providers, etc.

- Developing data scraping tools to acquire data from the internet and other sources.

- Managing external annotation teams to ensure high-quality data annotation.

Data Preparation:

- Collaborate with the R&D team to define data annotation rules and quality standards.

- Review annotation results to ensure data quality meets model training requirements.

- Explore industry-leading data production methods to continually optimize data acquisition and preparation processes.

Data Compliance:

- Collaborate with the legal team to handle data compliance issues, ensuring data acquisition and usage comply with relevant laws and regulations.

Team Management:

- Responsible for recruitment and management of internal data products or operations teams.

Qualifications

Minimum Qualifications

1. Experience in traditional AI data collection or data annotation areas.

2. Excellent communication skills, strong initiative, excellent product and business integration capabilities, strong execution and results-oriented.

3. Proven experience in leading overseas teams.

Preferred Qualifications

1. Passion for technology, good communication skills and team spirit

TikTok is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At TikTok, our mission is to inspire creativity and bring joy. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.

Title : English langauge, Maths or Science Tuition Teacher
Location: Hougang

Working days & Time: 3 weekdays (3PM-9PM) + Weekend (Both Sat & Sun ; 9AM-6PM)
Salary: $3000 - $3500

Job Responsible:

• Prepare and conduct lessons: Tailor lessons in accordance with our curriculum with a holistic understanding of your student’s learning needs to meet the unique needs and learning styles of individual students.
• Curriculum Development: Work with our curriculum development team to create useful learning materials.
• Motivation: Inspire and motivate students to excel academically and develop a love for learning. Be a role model for your students. Give appropriate advice to students to improve students’ holistic development.
• Communication: Monitor your class progression and provide honest and helpful feedback with suggestions to parents on a regular basis to improve the student’s conduct or academic performance.

Administrative:

• Prepare lesson plans and teaching materials
• Check with students on their exam dates, record students’ test results, evaluate students’ test papers
• Conduct lessons and tutoring sessions.
• Assess and evaluate student performance(Mark papers).Provide feedback to students and parents. (Call parents and update class group chats - teacher’s personal contact would be added)
• Maintain a conducive and disciplined learning environment.
• Stay updated with the latest teaching methods and curriculum changes.
• Assist in curriculum development and improvement.
• Take attendance and arrange makeup lessons for absentees.

Requirement:

• Teaching certification or relevant teaching experience with Singapore MOE syllabus.
• Strong knowledge and passion for the subject(s) you teach.
• Primary post – Min. 'A' level or Diploma
• Secondary post – Min. Bachelor degree

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

✅SAMUEL SIAW Reg No: R24124745

We have several available postdoctoral and research assistant positions at the Singapore University of Technology and Design (SUTD) to work in the area of Robotics. This position focus on supporting the design of algorithm for various robotics applications.

Qualification:
- Relevant Degree in Electrical Engineering, , Mechanical Engineering, Robotics, or related areas
- Strong hands on experience Preference will be given to those with prior robotics project experience such as:
1) SLAM;
2) ROS;
3) Sensor fusion;
4) Machine Learning;
5) Mobile platforms (eg: wheeled robots, legged robots); and
6) Manipulators

Applications, assembled as a single PDF file, should contain a complete resume, full list of publications, as well as the names and contact information of up to three references. Interested applicants may send his/her CV to Assoc/Prof U-Xuan Tan via email ( [email protected] ). Review of applications will continue until the position is filled. Only shortlisted candidates will be notified.

After School Student Care Teacher (Math & Science subjects)
Basic Salary: $3000-$3500
Working Hours: Mon-Fri | 12pm-7pm
Working Location: Sembawang Shopping Centre

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

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)

Chew Xing Shan Reg No: R22107044

The Supreme HR Advisory Pte Ltd EA No: 14C7279

WhatsApp: +65 83592812 [Shannon]

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 holders are to work with PI and the research team to conduct research characterizing airborne pollutants in urban environment.

Qualifications

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

• Experience in applying data analytics, machine learning and handling big data
• Experience in applying Pythons functions of matplotlib, and numPy, pandas, statsmodels
• Fast learner - capable of conducting independent research and proficient literature search, review & summary with strong background in Chemical Engineering / Chemistry / Physics
• Experience in operating instruments measuring physical and/or chemical properties of airborne pollutants
• 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

Responsibilities

• Prepare comprehensive reports and presentations on current and prospective investments, including valuation assessments and performance analysis.
• Oversee the preparation of Management Accounts and Financial Statements, ensuring compliance with statutory requirements both locally and globally.
• Provide support for investment activities, focusing on financial products such as public equities and real estate investments.
• Act as the main liaison with tax service providers to ensure compliance with jurisdiction-specific tax regulations, primarily in Singapore and the United States.
• Facilitate trade executions and maintain relationships with private and retail bankers for investment activities in key markets.
• Stay informed about financial markets and trends, with a strong understanding of private and public market dynamics.
• Undertake ad-hoc project management responsibilities to support the team’s operational and strategic goals.
• Collaborate with cross-functional teams to enhance analytical insights, improve reporting capabilities, and support decision-making processes.

Requirements:

• A minimum of 2 years of professional experience within the finance or investment industry, preferably in asset and wealth management.
• Hands-on experience with the U.S. stock and property markets, demonstrating strong market understanding.
• Advanced proficiency in Microsoft Office, particularly Excel and Word, for analytical and reporting purposes.
• Strong analytical acumen with excellent organizational, teamwork, and communication skills, alongside full fluency in English.

Please submit your updated resume in Word format by using the Apply Now Button.
We regret that only shortlisted candidates will be notified.

Email resume to [email protected]

People Profilers Pte Ltd, 20 Cecil Street, #08-09, PLUS Building, Singapore 049705.
Tel: 6950 9724

http://www.peopleprofilers.com
EA License Number: 02C4944
Registration Number: R1872398

Posting Personnel: Ng Jwee Ken

Ref: QWVWX9R9

Relief teacher for 2 months (Jan to Feb 2025)

Teachers needed:

• Primary Science / STEM

**Full Time: $2600-3000 per month (commensurate with experience)**

**Part Time: $25 to $35 per hour (commensurate with experience)**

Working hours:

Full Time: Mon-Fri 8.30am to 5.30pm

Part Time: Mon-Fri between 9am to 3.30pm

Location: West (Bukit Timah, Bukit Batok)

Responsibilities:

• Prepare and conduct lessons according to the course syllabus and scheme of work

• Provide necessary supervision to the students and report students’ discipline issues to the Student Affairs staff

• Schedule and prepare examination papers and assignments

• Monitor the performance and progress of each student, including academic counselling

• Give feedback to Management about the continual improvement of the class performance

• Mark and grade all course work, assignments and examination papers

• Give feedback to Management on the course proceedings at the end of semester/course/modules

• Participate in programme review meetings

Requirements:

• Minimum a Diploma

• At least 1 year of relevant experience

HOW TO APPLY:

Please send in your resume to: recruit @ dismanpower.com.sg & indicate in the subject as "Primary Science/STEM Teacher (2 months relief) (Full Time or Part Time, West)"

We regret that only shortlisted candidates will be notified.

DIS Manpower Pte Ltd

EA License No.: 08C3226

EA Personnel: Sng Wei Lin

EA Reg No.: R1101806