Total 4 tech support job vacancies in Education / Training category

• Working Hours: 8:30 am to 5:30 pm (Monday to Friday)
• Flexi work arrangement (Core working hours is 11am - 3pm)
• AWS + Variable Bonus Provided
• Working location: Buona Vista

Research Support Office (Secretary, Pharmaceutical company)

■Executive Assistant to CEO and Administration Head:

• Provide full spectrum of secretarial support to CEO and Administration Head including but not limited to calendar management, coordination of meetings, travel arrangements, preparation of presentation materials and expense claims.

• Coordinate and liaise with internal and external parties for all meetings and conferences arranged.

• Support in preparation of manuscripts (e.g. media interview, review, textbook).

• Ad-hoc duties as and when required.

■Administrative tasks and Office Management:

• Preparation of invoices and documents.

• Coordinate with internal and external parties on documentations and delivery of items.

• Ordering of materials needed for shipment such as dry ice, boxes and etc.

• Prepare various reports as and when needed by the management.

• Provide secretarial and administrative support to the various research committees

• Handle general office administration such as setting up meeting rooms which includes setting up of video and teleconferencing.

• Provide administrative support to HR team on interview arrangements and safe travel entry applications when required

• Ad-hoc general administrative support as and when required.

Job Requirements:

• Degree holder of any discipline with minimum 1 year of secretarial experience in the sciences/ pharmaceutical/ medical related industry.

• Related experiences in providing secretarial support to various institutional reviews

• Experienced in reading and extracting literature reviews from medical articles.

• Proficiency in Japanese Language is a must to liaise with Japanese speaking employees, external clients and Japan HQ.

Interested applicants, please send your resume to Tiffany Koh (R1104633) with email subject header "Job Application for Research Support Office (Secretary, Pharmaceutical company) - TK " .

We regret that only shortlisted candidates will be notified. Other applications will be updated to our database for future job opportunities.

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Pasona Singapore Pte Ltd

EA LicenseNo:90C4069

R1104633

Koh Jia Wen

At Fort Financial, we are building a team of driven individuals who are interested in developing a long-term career in financial planning and wealth advisory.

This is a structured career pathway where you will receive training, mentorship, and guidance to gradually build your own client portfolio within a regulated financial advisory environment.

You will gain real exposure to financial planning conversations and processes while developing the foundational skills required to grow into a licensed Financial Advisor.

No prior experience is required as full training and support will be provided.

Key Responsibilities

• Engage with clients to understand their financial goals and needs

• Support discussions on financial planning areas such as protection, savings, retirement, and wealth building

• Assist in developing and maintaining long-term client relationships

• Build and manage your personal client portfolio under guidance

• Apply structured advisory processes in a professional and compliant manner

• Participate in training sessions, workshops, and ongoing development programmes

Why Join Fort Financial

• Flexible working arrangement with autonomy over your schedule (subject to progression and performance)

• Performance-based income structure with uncapped earning potential

• Structured training and mentorship programme provided

• Full operational and administrative support

• Clear career development pathway in financial advisory

• Exposure to real client advisory work and financial planning cases

• Supportive, growth-oriented team culture

Who We Are Looking For

• Singapore Citizens or Permanent Residents (due to regulatory requirements)

• Diploma or Bachelor’s degree holders from any discipline

• Fresh graduates and mid-career switchers are welcome

• Strong communication and interpersonal skills

• Self-motivated, disciplined, and willing to learn

• Comfortable with a performance-based career structure

• Interest in finance, business, or client-facing roles is an advantage

Training & Licensing Support

We provide structured support to help you complete MAS-required CMFAS examinations (M5, M9, M9A, HI), along with onboarding training to support your transition into a licensed Financial Advisor.

About Fort Financial

Fort Financial is a financial advisory practice focused on developing professionals who are committed to delivering client-centric financial planning solutions.

We believe in building careers through structured training, mentorship, and real-world advisory exposure in a supportive environment.

Apply Now

If you are looking for a career that offers growth, flexibility, and meaningful client impact, we welcome your application.

Shortlisted candidates will be contacted for the next steps.

ABOUT THE NATIONAL INSTITUTE OF EDUCATION (NIE)

The National Institute of Education (NIE), Singapore, is Singapore’s national teacher education institute, and we are proud to be an integral part of the nation’s education service. We play a key role in the preparation of teachers and in the provision of teacher professional and school leadership development programmes. We are committed to our vision of being An Institute of Distinction: Leading the Future of Education, and our mission to Inspire Learning, Transform Teaching and Advance Research.

NIE invites suitable applications for the position of Senior Executive / Executive, Research Support and Grants Management with the Office for Research (OfR). The Research Support and Grants Management Unit manages pre and post award administration of internal and external research grants, enabling NIE faculty to secure research funding and administer grants effectively in compliance with funding and institutional requirements.  The unit also oversees all Research Support functions in capacity building faculty staff.

Responsibilities

• Support the NIE faculty in the administration of both internally-funded and externally-funded research grants at the pre and post-award stages.
• Facilitate research grant administration processes, including grant applications, completeness checks, grant awards, grant variations, progress reports, final reports, and grant closure processes.
• Coordinate research grant administration policies, guidelines as well as terms and conditions in accordance with funding agencies’ and Institute’s regulations, including compliance requirements.
• Provide consultation to research teams on grants processes, budgeting, and guidelines as and when required.
• Collaborate with team members in research support initiatives/events that are organised by the Research Support and Grants Management (RSGM) unit.
• Design/create grant-related infographics, posters, and/or collaterals for stakeholder communication and events where required.
• Maintain the RSGM unit’s documents, webpages, databases, records, and SOPs so that they are updated in a timely manner.
• Facilitate appointment/reappointment and contract renewals for research staff who will be hired via NIE faculty’s research grants.
• Liaison officer with internal and external stakeholders, including auditors if necessary.
• Organise and provide secretarial and logistical support for NIE internal research grants’ review panel meetings, including recording of minutes.
• Support the Associate/Assistant Deans in RSGM matters as and when needed.
• Any other duties as assigned by the reporting officer.

Requirements

• A Polytechnic diploma.

• Preferably with 2 to 3 years of relevant experience in research development, grant management, or a related role in a university or research setting.

• Able to learn fast, multi-task, prioritise, and work within tight timelines.

• Possess good writing, communication, and interpersonal skills to work with faculty and staff across various departments.

• Strong team player.

• Strong numerical skills with an eye for detail with the ability to review and improve research proposals when necessary.

• Strong planning and organisational skills.

• Demonstrate excellent knowledge of MS Office applications and willingness to learn or use new IT software, AI tools and applications as and when required.

• Able to monitor compliance in policies and uphold governance of policies.

• Experience in event management will be an added advantage.

• Experience in traditional and digital marketing (e.g., designing infographics, website/social media) will be an added advantage.
  

Application

We regret that only shortlisted candidates will be notified.

Other Information

NIE staff can take chartered buses at their own expense from or near their homes to the NIE campus. This is subject to availability of seats.

About Company

Founded in 2022, XG Tech is driving the future of smart vehicles. Its mission is to empower the digital transformation of automobiles, moving from distributed computing to a centralized, cross-domain platform.

XG Tech focuses on the intelligent cockpit—the next frontier of differentiation—while seamlessly integrating advanced driving systems. By reimagining cars as mobile living spaces, XG Tech aligns with the evolving trend of vehicles becoming the “third living space.”

Role Summary
As a Research Scientist (AutoResearch on LLM), you will focus on cutting edge AI-Driven AI development using Autoresearch(Automated MachineLearning) for Large Language Models (LLM). You will design and deploy automated research frameworks that autonomously discover. optimize, and train the next-generation LLM architectures. You will bridge the gap between hardware constraints and model design ensuring that the automatically optimized architectures achieve or exceed the pre-training efficiency and downstream performance of state of the art established base models

Key Responsibilities

• Design, build and scale automated search and optimization systems (Such as Neural Architecture Search, evolutionary algorithms, or LLM-driven research agents) to autonomously discover optimal LLM architectures
• Analyze and integrate hardware level constraints (e.g. tensor parallel limits, memory bandwidths, latency, cache hierarchies, FLOPs, and energy efficiency of target silicon) into the optimization loop
• Scale up discovered architectures to perform large-scale pre-training. Ensure the final models meet to exceed the performance, training efficiency, and convergence rate of existing top-tier foundation models
• Develop accurate, cost effective proxy task, evaluation protocols, and scaling laws to predict full-scale LLM performance from early-stage automated search limits
• Collaborate closely with chip architects, system/compiler engineers, and foundation model researchers to co-optimize hardware execution efficiency and model training algorithms
• Stay at the forefront of AutoML, hardware-software co-design, and LLM pre-training literature, contributing to peer-reviewed publications and IP generation where applicable

How will you stand out

• Master's or PhD degree in Computer Science, Electrical Engineering, Applied Mathematics, or a related quantitative field with a focus on Deep Learning
• Strong research background in LLM pre-training, Transformer architectures, and scaling dynamics
• Hands-on experience with AutoResearch, AutoML, automated optimization algorithms, or using AI agents/LLMs for automated scientific discovery
• Solid understanding of GPU/accelerator architectures, memory hierarchies, parallel training strategies(tensor, pipeline, data parallel) and hardware performance profiling
• Production grade coding skills in Python and deep learning frameworks (e.g. Pytorch, JAX, Megatron-LM, Deepspeed).
• Demonstrated experience in training, scaling and evaluating large scaling models from scratch
• Having first author publications in top tier machine learning or system conferences (e.g. NeurIPS, ICML, ICLR, ASPLOS, ISCA, MLSys) is preferred
• Experience writing custom kernels (e.g. Triton, CUDA) or working with machine learning compilers are preferred
• Direct experience working with silicon/chip design teams to customize model architectures for specific ASIC/GPU/FPGA constraints.
• Experience building self improving AI Loops or automated coding research assistants

XG Tech is committed to providing equal employment opportunities by country, state, and local laws. XG Tech does not discriminate against employees or applicants based on conditions such as race, color, gender identity and/or expression, sexual orientation, marital and/or parental status, religion, political opinion, nationality, ethnic background or social origin, social status, disability, age, indigenous status, and union.