Total 48 Education / Training job vacancies in D22 Jurong, Jurong Island, Tuas

Job Description:

We are seeking part-time English teachers to teach students whose first language is not English (mainly students attending international schools in Singapore). The curriculum may reference local school syllabuses but will also be adapted based on specific needs.

Responsibilities:

1. Design flexible lesson plans tailored to students' language levels and learning needs.
2. Utilize foreign/local school materials when necessary.
3. Assist students in improving their listening, speaking, reading, and writing skills.
4. Provide targeted feedback and develop personalized learning plans for students.
5. Be familiar with or willing to learn and apply different teaching systems beyond the local curriculum.

Requirements:

1. Excellent proficiency in English (native or near-native level).
2. Prior experience teaching non-native English-speaking students is preferred.
3. Familiarity with international school systems is an advantage.
4. Ability to adapt teaching methods to suit different student needs.
5. Patient, responsible, and able to communicate effectively with students and parents.
6. Have experience in teaching of exams like IELTS, KET, PET, CAT4, WIDA is an advantage.

Interested candidates may drop us your resume at geniuskidsedu21@gmail.com

Digital Trust Centre (DTC) is looking for a candidate to join them as a Research Engineer II.

Key Responsibilities:

• Conduct cutting-edge research in large language models, translating theoretical algorithms, frameworks, and methodologies into practical, working prototypes that demonstrate potential product applications.
• Collaborate closely with researchers and engineers to design and implement system architectures and software solutions that transition research findings into scalable, deployable products.
• Develop and build tools and frameworks to facilitate the transfer of LLM capabilities to industry partners, showcasing the practical value and impact of the research outcomes.
• Create and maintain comprehensive technical documentation, including white papers, presentations, and tutorials, to disseminate knowledge to a broader audience and enhance overall expertise in these emerging areas.
• Engage with international research communities and partners to stay abreast of the latest advancements in machine unlearning, contributing to discussions, collaborations, and initiatives that elevate Singapore’s position in the global AI and privacy research landscape.

Job Requirements:

• Minimum Masters’s degree in computer science/ engineering or related fields.
• Proficiency in Python is a must. Experience with other programming languages such as Java, C/C++, or Go, and frameworks like PyTorch or TensorFlow, is highly advantageous.
• Experience in developing and deploying machine learning models, particularly in natural language processing (NLP) and large language models (LLMs), including tasks such as data preprocessing, feature extraction, model training, and evaluation.
• Strong knowledge of machine learning and deep learning techniques, including knowledge graphs, machine unlearning, and AI testing.
• Proficiency in working with common Linux distributions (e.g., Ubuntu, CentOS) and familiarity with shell scripting and command-line tools.
• Experience with cloud platforms (AWS, GCP, Azure) and containerization technologies (Docker, Kubernetes) is a must.
• Experience with version control systems (e.g., Git) and collaborative development tools.
• Experience in developing ML systems from end to end, including data exploration, feature engineering, model training/evaluation will be advantageous.
• Ability to communicate complex technical concepts effectively to both technical and non-technical stakeholders, bridging the gap between research and practical application.
• Strong analytical and problem-solving skills, with a focus on developing innovative solutions for LLMs.
• Self-motivated and able to work independently, managing multiple tasks and projects in a fast-paced environment.
• Strong collaborative skills, with experience working in cross-functional teams.
• Keen attention to detail and commitment to high-quality deliverables.
• Understanding of ethical considerations and best practices in AI research, particularly concerning data privacy and security.
• Ability to code-switch effortlessly between talking business and talking tech, and can help stakeholders, engineers, and businesses easily understand difficult research tech concepts.
• Experience in AI model testing methodologies, including robustness, fairness, and explainability assessments, as well as understanding data privacy and security considerations in AI.
• Good understanding of relational database and Unix shell scripting skills.

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

Centre for Lifelong Learning and Individualised Cognition CLIC is a research collaboration between the University of Cambridge and Nanyang Technological University (NTU) and hosted by the Cambridge Centre for Advanced Research and Education in Singapore (CARES) that aims to develop neuroscience-based interventions for lifelong flexible learning. Launched in October 2020 and funded by the National Research Foundation Singapore, CLIC brings together a multidisciplinary team of psychologists, neuroscientists, linguists and educators who conduct innovative research in the science of learning.

The world of today is constantly evolving to keep pace with advances in technology and globalisation, requiring individuals to adapt and develop new skills to ensure resilience through a culture of lifelong flexible learning. Mental flexibility is required in order to adapt to change, problem-solve creatively in new situations and make the most of opportunities including emerging career opportunities. The capacity for cognitive flexibility is thus central to the modern digital age and our education system needs innovation to ensure citizens are equipped to develop these future skills. For example, major global challenges, including climate change, renewable energy, and food security, will require novel and creative approaches and solutions.

CLIC researchers are developing a neuroscience-based model of flexible learning, including important social contextual factors, in order to inform the design of practical, real-life interventions for use in schools and the workplace. This will ensure that individuals are not only prepared for future career success, but also have a good quality of life and wellbeing, thus supporting a flourishing society.

For more details, please view: https://www.cares.cam.ac.uk/research/clic/

We are looking for a Research Fellow to support research activities on neuroimaging, and training-related brain changes in adults. The role will focus on opportunities for involvement in research activities related to human neuroimaging, language, infant cognition/learning and pedagogy. We anticipate the successful candidate to perform within a dynamic interdisciplinary research environment working collaboratively with project team members.

Key Responsibilities:

• Perform computational modelling and analysis of the neuroimaging and behavioural data from cognitive and related domain tasks
• Development and implementation of neuroimaging data analyses pipelines
• Conduct analysis of data and summarise research findings
• Development and implementation of data transfer and curation protocols
• Liaise with other workgroups on data management and multi-modal analyses

Job Requirements:

• PhD degree in experimental psychology, biopsychology, cognitive psychology, neuropsychology, neurology, psychiatry, cognitive neuroscience, biomedical engineering, computer science, or related fields.
• At least 2 years of relevant experiences in similar role / technical hands-on experience in specific scope
• Advanced signal processing and programming skills (e.g. with Matlab, Python)
• Experience with neuroimaging techniques (MRI, EEG and/or TMS).
• Familiarity with image data analysis tools such as SPM, FSL, AFNI, and/or DSIStudio, etc.
• Experience with statistical packages, especially R and SPSS
• Good statistical knowledge and skills
• Good IT skills (i.e., Microsoft Office®)
• Strong ability to work within a multidisciplinary team
• Strong interpersonal, written and verbal communication skills
• Excellent organizational skills and able to work within given deadlines

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

Lee Kong Chian School of Medicine (LKCMedicine) established in September 2010 is a partnership between Imperial College London and Nanyang Technological University, Singapore. The school operates from two campuses – Yunnan Campus at Nanyang Technological University and a new campus to be built at Novena. Our primary healthcare partner is the National Healthcare Group (NHG) which comprises an integrated network of primary healthcare polyclinics, acute care hospitals such as Tan Tock Seng Hospital, and national specialist centres. LKCMedicine delivers a new five-year undergraduate medical programme leading to a joint MBBS degree awarded by Imperial College London and Nanyang Technological University.

Antimicrobial drug resistance is a growing an alarming problem that poses serious challenges to the existing public health infrastructure of Singapore and of the rest of the world. Microbial pathogens are becoming more and more difficult to treat as they steadily gain partial and full resistance to last-line antibiotics.

Recalcitrant infections can add enormous costs and strains to health care systems that are already stressed. This is especially a concern in Singapore, where between now and 2030, the health care system will need to accommodate the costs associated with a population that will undergo an unprecedented age shift in which the number of residents aged 65 years or older will increase threefold. Altogether, there is an urgent need to develop new alternatives or compatible therapies to combat the growing problem of AMR.

We are currently recruiting a Research Fellow who will be working closely with Dr Kevin Pethe as part of a large interdisciplinary team.

Key Responsibilities:

The appointed Research Fellow will lead studies to evaluate the potency and pharmacokinetics of therapeutic phages in animal models of bacterial infections. The successful candidate will have the opportunity to work in a dynamic research environment with access to state-of-the-art core facilities.

• Lead research projects
• Evaluate bacteriophages in animal models of infection
• Study phages biology

Competencies and Qualification Requirements:

• PhD in Biological/Biomedical Sciences with expertise in bacteriology or infectious diseases (BSL-2).
• At least 1 years’ experience as Research Fellow
• Expertise in tissue culture, bacteriology, molecular biology and animal work

A Corp Lab in NTU is looking for a Research Engineer I or II to work on Large Language Models for Health. This role requires a passion for innovation, the ability to work effectively in a collaborative environment, and a commitment to contributing to groundbreaking discoveries in project-based research.

Key Responsibilities:

• Work closely with the Principal Investigator (PI) and team members/engineers to design and implement LLMs-based conversational agents.
• Assist in data and LLM analysis and conducting experiments for project-based research questions.
• Assist in developing algorithms and models based on existing LLMs to enhance multi-turn conversations, proactive inquiry, and knowledge-guided common-sense reasoning in conversational agents.

Job Requirements:

• Master’s degree or Bachelor’s Degree in computer science/engineering.
• Solid knowledge in Natural Language Processing, LLMs, or conversational AI.
• Proficient in programming languages and frameworks relevant to machine learning, specifically Python and PyTorch.
• Able to test, debug and optimize existing code base and other features.
• Excellent communication skills and good problem-solving skills.
• Relevant publication record in NLP and conversational AI is preferred.

We regret that only shortlisted candidates will be notified.

Job Description:

• Responsible for the algorithm development of an AI accounting assistant, focusing on natural language processing (NLP) and speech recognition, to ensure users can easily input entries via voice or text.
• Develop and optimize AI algorithms to improve data recognition accuracy, and handle classification and storage of accounting data.
• Collaborate with backend engineers to seamlessly integrate the AI module into the system.

Requirements:

• Bachelor's degree or higher in computer science, artificial intelligence, data science, or related fields.
• At least 2 years of experience in AI algorithm development, particularly in NLP and speech recognition.
• Proficient in Python and familiar with common machine learning frameworks (such as TensorFlow, PyTorch).
• Experience in financial data processing or accounting-related projects is preferred.
• Able to speak mandarin to communicate with chinese speaking counterparts
• Work in office (near Jurong East)

We are seeking a highly motivated Research or Senior Research Engineer to implement highly available and scalable microservices-based applications and platforms for autonomous manufacturing applications. If you are independent and initiative-driven, demonstrating the capacity to discover innovative solutions to challenges, this is the role for you.

JOB DESCRIPTION

• Develop, test, and maintain enterprise planning systems and applications.
• Analyze complex problems related to resource planning and scheduling, identifying potential solutions, and implementing the most effective one.
• Collaborate with other developers and stakeholders to deliver high-quality software products.
• Deploy software to production environments and provide ongoing maintenance and support to customers.
• Take responsibility for documenting code with technical specifications, user manuals, and other documentation to facilitate understanding and maintenance by other team members.
• Identify and address bottlenecks, inefficiencies, and scalability issues to ensure optimal performance of the software system.

JOB REQUIREMENT

• Bachelor's or Master's Degree in Computer Science or Engineering or relevant disciplines.
• Minimum of 8 years of working experience as a Software Developer/Engineer
• Hands-on experience in Cloud Native Technologies such as microservices, DevSecOps, and Container Platforms
• Proficiency in designing and developing microservices using at least one programming language, preferably C# .NET, Java, or Python
• Good understanding of CI/CD Pipelines in a distributed environment using Git, Artifactory, Jenkins, SonarQube, Docker registry, etc.
• Hands-on experience with deploying and managing microservices using container orchestration platforms (on-prem/public cloud)
• Can-do attitude and willingness to interface with multiple stakeholders.
• Excellent troubleshooting, follow-through, and problem-solving skills, with attention to detail.
• Excellent verbal and written communication skills.

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

The Career Service Executive plays a key role in profiling learners, assessing career readiness, and facilitating their transition into the workforce. This role involves conducting career readiness assessments, organizing workshops and sessions, and tracking learner engagement and career outcomes.

Key Responsibilities:

1. Career Readiness Assessment:

· Evaluate and profile learners based on their career goals, skills, and industry interests.

· Maintain up-to-date records of learner profiles for targeted career support.

· Identify suitable learners for freelance Classroom Support roles and other job opportunities and extend invitations.

2. Career Assistance Workshops and Sessions:

· Plan and deliver career workshops focused on job readiness, resume building, and interview preparation.

· Organize one-to-one career advisory sessions, providing learners with personalized guidance to support their learning and career development journey.

3. Engagement and Career Outcome Tracking:

· Track learner participation and engagement in career services activities.

· Monitor and report on career outcomes, including job placements and learner progression.

· Provide follow-up support to ensure learners achieve their career objectives.

Qualifications & Requirements:

· Minimum educational attainment of Diploma.

· Strong interpersonal, communication, and problem-solving skills.

· Proficient in both written and oral communication.

· Experience in career services, talent development, or workforce planning.

· Familiarity with resume building, interview techniques, and career development strategies.

· Ability to work effectively with diverse populations and tailor services to meet individual needs.

· Commitment to maintaining professional ethics and standards in career services.

· Career coaching certification or qualification is a plus.

Key Skills:

· Relationship management

· Communication, presentation and coaching skills

· Market research and analysis

At One World International School (OWIS), we are looking for passionate, adaptable educators who enjoy teaching students from diverse cultures. OWIS provides an individualised approach to learning that nurtures every aspect of child development. In addition to versatile learning spaces and a variety of extracurricular activities, we offer rigorous curricula that prepare students to be future innovators and leaders.

We are an IB Primary Years Programme (PYP) World School, a Cambridge International School and an IBDP School. All teaching positions require a high proficiency in spoken and written English, a degree, teaching qualifications and ICT literacy.

One World International School is committed to safeguarding and promoting the welfare of the children. We are committed to recruiting candidates who share this commitment to safeguarding. Before an offer is given, candidates will undergo child protection screening and will be required to provide a Police Verification Check from their country of residence.

Overall Responsibilities:

• To teach and educate students according to guidelines provided by the school’s curricular programmes - IB PYP, IGCSE and IB Diploma.
• To teach and educate students according to the educational needs, abilities and attainment potential of individual students entrusted to his/her care by the Head of School.
• To promote the attributes and attitude of the IB Learner Profile and the school values.
• Includes the below but not limited to -
• Teach across the age range of Secondary, IGCSE and IB Diploma.
• Design, prepare and deliver lessons to teach knowledge, techniques, support and enhance each learner’s understanding.
• Collaborate with colleagues to ensure that every learners' individual needs are catered for through differentiated planning, learning engagements and assessment opportunities.
• Assess and monitor the progress of learners and set goals for improvement, including writing students reports and attending parents meetings.
• Lead or be involved in extra-curricular activities, school events, assemblies, staff trainings, meetings, etc.
• Promote the health, safety and wellbeing of all students.

Requirements:

• Minimum two (2) years or more relevant full-time teaching experience as a qualified teacher.
• Candidate must at least possess Bachelor's degree and a Professional Degree in Teaching/Teaching qualification certificates (PGDE, PGCE, PGCEi, NIE Diploma)/Valid Teacher License/QTS.
• Must have strong knowledge and experience of teaching English for Secondary, IGCSE or IBDP.
• Experience in an international school environment (preferred).
• A passionate educator with the ability to deliver student-centred, inquiry based learning.

Work Location: Nanyang Campus (Jurong West)

The School of Mechanical & Aerospace Engineering (MAE) invites applications for the position of Research Fellow. The Research Fellow will be working on high-resolution imaging, bioimaging and metrology projects at the centre.

Key Responsibilities:

• Expected to work with the PI and other team members for doing R & D and take key role for the development of the systems for bioimaging and metrology
• Conduct and coordinate research within NTU and collaborating partners in line with its research strategy under the supervision of the PIs and collaborators
• Publish research outcomes in journals of international standing; Attend and present research findings and papers at academic meetings, and contribute to the external visibility of the centre.
• Draft research reports for PIs and undertake specific roles and management functions as may be reasonably required by the PIs.

Job Requirements:

• PhD in Optical Engineering, Biomedical Engineering, Mechanical Engineering, Precision Engineering, Electronics Engineering, Physics or a similar discipline with optics and instrumentation background
• Previous experience in high-resolution imaging, bioimaging, optical measurements, metrology, spectroscopy, hyperspectral imaging (HSI), and machine vision are desirable
• Expertise in handling and maintenance of high power CW and pulsed laser systems, spectrometers, high-resolution cameras, and delicate optical components are desirable
• Possess good programming, optical instrumentation, automation and image processing skills (e.g. C++, LabVIEW, Zemax, OSLO, TracePro, MATLAB, Python, ImageJ)
• Proven publication track record would be an advantage

We regret that only shortlisted candidates will be notified.

The Advanced Remanufacturing and Technology Centre (ARTC) is a public-private partnership consortium of more than 80 industry members. Our core mission is to develop and deploy advanced manufacturing solutions and upskill the workforce to drive local industry competitiveness.

Smart Virtual Systems (SVS) Group is seeking a highly motivated Research Engineer/ Senior Research Engineer to implement highly available and scalable microservices-based applications and platforms for autonomous manufacturing applications. He/she is expected to be independent and initiative-driven, demonstrating the capacity to discover innovative solutions to challenges.

We are seeking a talented and experienced Software Engineer with experience in MLOps/AI to join our dynamic team. In this role, you will play a key role in software development and focusing on deploying machine learning models, implementing MLOps best practices. You will work closely with our cross-functional research teams to streamline model deployment, improve scalability and reliability of systems.

The key roles and responsibilities include the following:

• Develop, test, and maintain enterprise system and applications, with a focus in ML/AI systems.
• Implement MLOps best practices to automate model training, deployment, and monitoring processes.
• Implement and optimize machine learning algorithms and deep learning architectures.
• Collaborate with data scientists and software engineers to integrate machine learning solutions into existing systems and deliver high-quality software products.
• Optimize AI pipelines for scalability, reliability, and performance.
• Conduct performance analysis and optimization to improve model efficiency and accuracy.
• Stay updated on the latest advancements in software engineering, AI/ML technologies and best practices.

Job Requirements

• Bachelor or Master Degree in Computer Science/Engineering or relevant disciplines
• Must have a minimum of 5 years of experience as a Software Developer/Engineer
• Hands-on experience in Cloud Native Technologies such as in micro-services, DevSecOps, and Containerisation Technologies
• Proficiency in designing and developing microservices and software systems using C# .NET, Python and angular
• A good understanding of CI/CD Pipelines in a distributed environment using Git, Artifactory, Jenkins, SonarQube, Docker registry, etc.
• Hands-on experience with deploying and managing microservices using container orchestration platforms (on-prem/public cloud)
• Can do attitude and happy to interface with multiple stakeholders
• Excellent troubleshooting, follow-through, and problemsolving skills, with attention to detail
• Excellent verbal and written communication skills
• Hands-on experience with machine learning frameworks/libraries
• Understanding of machine learning algorithms and techniques
• Familiarity with deep learning architectures and natural language processing (NLP) techniques.

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

The Advanced Remanufacturing and Technology Centre (ARTC) is a public-private partnership consortium of more than 80 industry members. Our core mission is to develop and deploy advanced manufacturing solutions and upskill the workforce to drive local industry competitiveness.

Smart Virtual Systems (SVS) Group is seeking a highly motivated Scientist/ Senior Scientist to lead and conduct research in modelling and optimization of enterprise multi-resource planning. He/she is expected to be independent and initiative-driven, demonstrating the capacity to discover innovative solutions to challenges.

The key roles & responsibilities include:

• Research into innovative optimization algorithms to efficiently solve multi-resource planning problems, including production scheduling, inventory management and production capacity planning
• Work with a team of engineers to translate research outcomes to practical solutions for various industry sectors
• Formulate scientific research directions and innovative proposals aligned to industry needs to secure competitive funding

Job Requirements

• PhD degree in AI, Computer Science, Operations Research, or other relevant disciplines with emphasis on optimization, machine learning and data-science
• Candidate with experience in modelling and optimization are welcome to apply
• 5 years' experience in research and leadership of R&D projects in the relevant area of expertise
• Experience in research and leadership of R&D projects in the relevant area of expertise will be an added advantage
• Programming/coding skills in developing optimization and machine learning algorithms
• Good track record of scientific publications in top journals or conferences
• Excellent technical presentation and writing skills
• Proven track record in applying optimization algorithms to multi-resource planning problems is a plus

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

Join Our Team at the School of Biological Sciences, Nanyang Technological University, Singapore

The School of Biological Sciences (SBS), part of the College of Science, was established in 2002 with a mission to advance biological and biomedical sciences. At SBS, our research spans various areas, including infectious diseases, immunology, neurodegenerative diseases, telomere biology, and genome function. Over the years, SBS has attracted talented individuals from around the world and Singapore to join as scientific leaders and researchers.

Position Available: Research Fellow

Join the laboratory of Associate Professor Francesc Xavier Roca Castella at the School of Biological Sciences. We are seeking a Research Fellow to contribute to a project focusing on the prediction and testing of genetic variants potentially affecting splicing by in silico and mainly experimental methods.

Key Responsibilities:

• Designing and executing experiments and analyses to predict and test genetic variants that could affect RNA splicing. Key techniques include splicing minigenes, high-throughput sequencing, and CRISPR-mediated gene editing.
• Interpreting experimental data and outlining its implications (substantial experience in these areas is required)
• Preparing manuscripts and presentations for both internal and external audiences
• Mentoring and train Project Officers, PhD students, and undergraduate interns, contributing to the scientific development and productivity of the lab
• Collaborative teamwork is essential

Job Requirements:

• A PhD in Biology, Molecular and/or Cellular Biology, Biochemistry, or related disciplines, with a focus on RNA splicing or related topics
• Experience in at least five of the following areas:
  Cell culture
  Standard molecular biology techniques
  RNA biology
  Human genetics
  RNA splicing
  Next-generation sequencing
  Bioinformatics
• Strong written and verbal communication skills in English - essential for data analysis and communication with stakeholders
• Strong publication record
• Entry level candidates are welcome to apply

The College of Science seeks a diverse and inclusive workforce and is committed to equality of opportunity. We welcome applications from all and recruit on the basis of merit, regardless of age, race, gender, religion, marital status and family responsibilities, or disability.

Interested applicants are invited to apply directly at our NTU Career Portal.

We regret that only shortlisted candidates will be notified.

The Advanced Remanufacturing and Technology Centre (ARTC) is a public-private partnership consortium of more than 80 industry members. Our core mission is to develop and deploy advanced manufacturing solutions and upskill the workforce to drive local industry competitiveness.

Smart Virtual Systems (SVS) Group is seeking a highly motivated Scientist/ Senior Scientist to lead and conduct research in modelling and optimization of enterprise multi-resource planning. He/she is expected to be independent and initiative-driven, demonstrating the capacity to discover innovative solutions to challenges.

The key roles & responsibilities include:

• Research into innovative optimization algorithms to efficiently solve multi-resource planning problems, including production scheduling, inventory management and production capacity planning
• Work with a team of engineers to translate research outcomes to practical solutions for various industry sectors
• Formulate scientific research directions and innovative proposals aligned to industry needs to secure competitive funding

Job Requirements

• PhD degree in AI, Computer Science, Operations Research, or other relevant disciplines with emphasis on optimization, machine learning and data-science
• Candidate with experience in modelling and optimization are welcome to apply
• 8 years' experience in research and leadership of R&D projects in the relevant area of expertise
• Experience in research and leadership of R&D projects in the relevant area of expertise will be an added advantage
• Programming/coding skills in developing optimization and machine learning algorithms
• Good track record of scientific publications in top journals or conferences
• Excellent technical presentation and writing skills
• Proven track record in applying optimization algorithms to multi-resource planning problems is a plus

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

• Reception duties including handling of phone calls and taking down enquiries/messages.
• Perform administrative duties on registration of training courses, managing e-attendance via internal training system.
• Ordering and distribution of training course materials including managing of courseware inventory.
• Handling of online/physical class logistics during the start of class.
• Proctoring of computer-based exams and ensures that all test administration is carried out in compliance with relevant exam vendor’s policies, regulations, guidelines, and standards.
• Feedback to building management on office related issues. E.g. aircon, lightings etc.
• General Admin duties - Including data entry, scanning, filing and extraction of reports of course attendances and evaluations.
• Other ad-hoc admin duties as assigned.

## ability to start work immediate will be an added advantage.