Position: Senior Audit Associate

Working Days: 5 days / 5.5 days(Saturday half day during peak period)
Working Hours: 0830am - 1730pm
Salary: Up to $4500
Location: Beach Road

Duties

• Is expected to lead various sizes of audit engagements which include planning, performing, reviewing of audit work performed by less experienced personnel and concluding the engagement.
• Works closely with team members to execute the audit plan and ensures the timely completion of the audit engagement.
• Works closely with clients and manages their expectations to further nurture on-going client relationships.
• Able to identify unethical behavior and react based on the applicable ethical principles.
• Operates in work contexts that are less standardization and unanticipated changes can be frequent due to changes in the external environment.
• Work with any of the assurance teams to obtain an understanding of our client’s business.
• Develop an audit plan/strategy for an audit of financial statements and document the planning procedures.
• Prepare/tailor audit programmes based on areas of audit emphasis determined at the planning stage.
• Perform audit tests of controls and substantive procedures based on planned audit approach to address the various assertions, eg: existence & completeness, rights and obligations, valuation, accuracy, presentation and disclosure.

Requirements

• Bachelor's Degree or equivalent
• 1-2 year of working experience as senior audit associate.

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

✅SAMUEL SIAW Reg No: R24124745

Responsibilities

ByteDance will be prioritizing applicants who have a current right to work in Singapore, and do not require ByteDance sponsorship of a visa.

About Doubao (Seed)

Founded in 2023, the ByteDance Doubao (Seed) Team, is dedicated to pioneering advanced AI foundation models. Our goal is to lead in cutting-edge research and drive technological and societal advancements.

With a strong commitment to AI, our research areas span deep learning, reinforcement learning, Language, Vision, Audio, AI Infra and AI Safety. Our team has labs and research positions across China, Singapore, and the US.

Leveraging substantial data and computing resources and through continued investment in these domains, we have developed a proprietary general-purpose model with multimodal capabilities. In the market, Doubao models power over 50 ByteDance apps and business lines, including Doubao, Coze, and Dreamina, and is available to external enterprise clients via Volcano Engine. Today, the Doubao app stands as the most widely used AIGC application in China.

Why Join Us

Creation is the core of ByteDance's purpose. Our products are built to help imaginations thrive. This is doubly true of the teams that make our innovations possible. Together, we inspire creativity and enrich life - a mission we aim towards achieving every day. To us, every challenge, no matter how ambiguous, is an opportunity; to learn, to innovate, and to grow as one team. Status quo? Never. Courage? Always. At ByteDance, we create together and grow together. That's how we drive impact - for ourselves, our company, and the users we serve. Join us.

About The Team

The Doubao Large Language Model (LLM) team is dedicated to aggressively advancing the next generation of LLMs, tackling fundamental challenges in LLM development head-on. Our areas of concentration include model self-learning, memory capabilities, long-text generation, and interpretability. We dive deep into the latest technologies and create comprehensive solutions from concept to completion. In our endeavor to adopt LLMs in real-life scenarios, we persistently seek out methods to enhance applications through technological innovation.

We are looking for talented individuals to join us in 2025. As a graduate, you will get unparalleled opportunities for you to kickstart your career, pursue bold ideas and explore limitless growth opportunities. Co-create a future driven by your inspiration with ByteDance.

Candidates can apply to a maximum of two positions and will be considered for jobs in the order you apply. The application limit is applicable to ByteDance and its affiliates' jobs globally. Applications will be reviewed on a rolling basis - we encourage you to apply early.

Responsibilities

1. Skilled in discovering simple and universal ideas for optimizing large models and applying them to models of various scales to improve performance;

2. Explore the boundaries of large-scale models and perform extreme system optimization to improve model performance and efficiency;

3. Promote the work of data establishment, instruction fine-tuning, preference alignment, and model optimization to improve the quality and adaptability of the model;

4. Relevant application landing, including generation creation, logical reasoning, code generation, etc;

5. Conduct in-depth research and explore more usage scenarios of the model in future life, and expand the application scope of the model.

Qualifications

Minimum Qualifications

1. Hold a Ph.D. degree in computer science, electrical engineering, statistics, applied mathematics, data science or related disciplines.

2. Proficient in coding ability, familiar with data structure and basic algorithm foundation, skilled in C/C++ or Python; 3. Familiar with algorithms and technologies related to NLP and CV, with a good research record in the relevant field; 4. Excellent problem analysis and problem-solving skills, able to deeply solve problems existing in large-scale model training and application;

5. Good communication and collaboration skills, able to explore new technologies with the team and promote technological progress.

Preferred Qualifications

1. Familiar with large model training and RL algorithms;

2. In the field of large models, those who lead projects or papers with too much influence are preferred.

ByteDance 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 ByteDance, our mission is to inspire creativity and enrich life. 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.

By submitting an application for this role, you accept and agree to our global applicant privacy policy, which may be accessed here: https://jobs.bytedance.com/en/legal/privacy.

If you have any questions, please reach out to us at [email protected]

Amethyst Partners is a specialised recruitment organisation in the asset management industry and due to a team expansion, we are currently looking for Junior Researchers to perform the following:

• Assist Recruitment Consultants with effective and timely assignment delivery.
  
• To undertake executive research, and candidate management activities, and keep candidate and client information updated.
  
• Conduct researches to identify suitable candidates for each candidates including targeted market mapping, talent pooling, database searching, networking and headhunting
• Building relationships with candidates and keeping track of their career goals and progress
• Approach suitable candidates and screen against agreed competencies and criteria for each project.
  
• Capture and maintain accurate market, client and candidate information on the company’s database
• Maintain database and other ad-hoc assignments

Business Registration Number: 201824722D. Licence Number: 20C0180. EA Personnel Registration Number: R1762339

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.

Join the laboratory of Dr Alexander Ludwig at the School of Biological Sciences. We are seeking a Research Fellow to contribute to a project focused on the functions of cell polarity proteins in epithelial lumen formation.

Key Responsibilities

• Design, conduct, analyse, and critically interpret cell and molecular biology experiments at a high scientific standard.
• Present and discuss data in weekly group meetings and at local and international conferences.
• Provide guidance and supervision to PhD and undergraduate students, fostering their growth and development within the laboratory setting.
• Preparing detailed reports and manuscripts for publication in esteemed scientific journals.

Job Requirements

• A PhD degree in Molecular and Cell Biology or related areas, with a focus on epithelial cell polarity, cell-cell junctions, and imaging.
• Experience in epithelial cell cultures, 3D cell culture models, protein-protein interaction analysis (IPs, pulldowns), and confocal and electron microscopy
• Strong written and verbal communication skills in English - essential for data analysis and communication with stakeholders
• 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.

1. Job Summary:

We are looking for a dynamic and innovative assistant R&D Chef to assist & lead recipe development, ensure quality control, and oversee product approval processes. Reporting to the Production Manager, the assistant R&D Chef will collaborate closely with production, sales, and cross-functional teams to create high-quality, market-ready products. The ideal candidate will take full accountability for QA/QC compliance, product sign-off, and customer satisfaction.

2. Key Responsibilities:

a. Recipe Development and Product Innovation:

• Create and test innovative recipes tailored to market trends and customer demands.

• Ensure recipes are scalable for production efficiency while maintaining exceptional quality.

b. Quality Assurance and Control (QA/QC):

• Establish and implement robust QA/QC protocols.

• Conduct product trials to ensure consistency, compliance, and safety standards.

• Resolve quality issues during development and production.

c. Product Approval and Accountability:

• Oversee product approval, ensuring all items meet company standards for taste, presentation, and compliance.

• Sign off on finalized recipes and processes, assuming full accountability for product quality.

d. Collaboration with the Sales Team:

• Partner with the sales team to understand customer feedback and market needs.

• Assist in presenting products to clients, including demonstrations and tastings.

• Support customization for specific customer requests.

e. Production Alignment and Management:

• Collaborate with the Production Manager to align recipes with operational capabilities.

• Train production staff on new recipes and processes.

f. Market and Trend Analysis:

• Research food trends, customer preferences, and competitor products to inform recipe development.

• Innovate and propose new product concepts for market differentiation.

g. Documentation and Reporting:

• Maintain thorough records of recipes, ingredient specifications, and QA/QC protocols.

• Provide updates to the Production Manager and sales team on project progress and approvals.

3. Qualifications:

• Minimum of 2 years of culinary experience, focusing on R&D, QA/QC, or product development.

• Expertise in scaling recipes for production.

• Knowledge of food safety regulations and quality standards.

• Strong collaboration skills with production and sales teams.

• Excellent problem-solving and organizational skills.

4. Education:

• Degree/Diploma in Culinary Arts, Food Science, or a related field.

• Certifications in quality management or culinary innovation are a plus.

5. Key Competencies:

• Accountability in managing product quality, approvals, and customer satisfaction.

• Creative and innovative thinking with a strong focus on operational alignment.

• Ability to manage multiple projects within tight deadlines.

6. Benefits:

• Competitive salary and performance incentives.

• Opportunities for career growth and skill development.

• Collaborative and innovative work environment.

7. Work Schedule:

• 5-day work week on an alternative-day schedule.

• 10-hour shifts, including a 1-hour break.

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

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

• To perform activities during the in life and/or necropsy phase of experimental studies, in accordance with pertinent guidelines and standards.
• Full-time involvement in the practical conduct of studies, including in life operations and necropsy procedures (where applicable)
• To perform the planned daily work activities (e.g. animal husbandry, scientific procedures and necropsy).
• To check the plausibility and quality of generated raw data.
• To be familiar with and to uphold animal welfare standards in compliance with the NACLAR guidelines and other relevant standards, with regards to the use of animals in scientific research. To be responsible for the wellbeing of all animals in their care.
• To perform the scheduled endpoint measurements for studies, such as urine collection, blood collection & organ collection.

Requirements

• Min Diploma in any science or engineering courses
• Min 1 to 2 years of animal husbandry experience
• Exp in AAALAC or NACLAR guidelines.

1 year contract x 1

Perm x 1

Up to $3.5K

Interested candidates, please forward your resume to [email protected]

Consultant: Huang Jingsheng Kevyn (R1333338)

Recruit Express Pte Ltd (99C4599)

Responsibilities:

• Provides assistance to the research team

• Screens and recruits suitable patients to participate in the research project

• Briefs patients on research background and rationale and to obtain their consent of participation

• Collects data from patients' medical records and research statistics

• Helps document adverse events / reactions that arise

• Performs phlebotomy and venepuncture when required

Requirements:

• Minimum Degree/ Diploma in Nursing

• Min 3 years’ experience in Hospital

Only Nurses with SNB license NEED APPLY

Interested candidates please send a copy of your resume in MS Word to

[email protected]

EA Personnel: Valerie Yong Kian Fung (R1103704)

Company Reg. No. 199601303W

EA Licence No. 99C4599

• Operate specialized equipment to perform skincare measurement techniques.
• Assist in capturing and documenting results accurately.
• Maintain the highest standards of precision and professionalism.
• Competitive pay of $15–$20 per hour.
• Detail-oriented individuals with a passion for skincare science.
• No prior experience is required; training will be provided.

*Please note that only shortlisted candidates will be notified. To apply, send your detailed resume with expected salary (Hourly rate) to [email protected].*

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

Research Engineer

As part of National Semiconductor Translation and Innovation Center (NSTIC), the candidate will be involved in the development of heterogeneous integration process for realizing multi-functional photonic devices. The candidate will work closely with multidisciplinary team with diverse expertise.

Responsibilities

• Develop, design, and optimize die-to-wafer bonding process employing III-V semiconductor material, Lithium Niobate on Insulator (LNOI), and Si-based material platforms.
• Design of experiments (DOE) for various Die-to-Wafer (D2W) bonding methodologies.
• Liaise between design, fabrication, and testing teams to ensure smooth process integration and device fabrication.
• Metrology, data analysis, and documentation
• Present and discuss experimental data to the team

Qualifications

• Degree in Electronics Engineering, Microelectronics, Physics, or equivalent.
• Experience in semiconductor industry is preferred. Those with strong familiarity with wafer-to-wafer and die-to-wafer bonding process may be considered for a senior position.
• Good critical thinking and problem-solving ability.
• Able to work with cross-functional team, with good communication/presentation skill.
• Able to work in a fast-paced and collaborative environment

Join Our Team!
Are you ready to inspire the next generation of thinkers and problem solvers?

We are seeking dedicated Secondary Math and Science Educators to join our vibrant teaching team.

If you thrive in a dynamic environment and are passionate about shaping young minds, we want to hear from you!

About Us
We are an established learning centre with over 1,000 students across our branches. Our team of qualified and dedicated educators uses a carefully designed curriculum to teach a range of subjects from Primary to JC levels. Through fun and interactive methods, we inspire students to excel academically and develop strong character.

Why Join Us?

• Collaborative Work Culture: Be part of a supportive team committed to excellence in education.
• Work-Life Balance: Enjoy a structured 5-day work week.
• Career Development: Opportunities to contribute to curriculum innovation and enhance your professional growth.

Working Hours

• Monday & Tuesday: Off
• Wednesday & Thursday: 3:30 PM – 10:00 PM
• Friday: 2:00 PM – 10:00 PM
• Saturday: 9:00 AM – 8:30 PM
• Sunday: 9:00 AM – 6:30 PM

Your Responsibilities

• Deliver engaging lessons in Secondary Mathematics and Science, ensuring students meet learning objectives.
• Develop lesson plans, worksheets, and teaching resources tailored to the Singapore curriculum.
• Assess and provide feedback on students' work to track and support their progress.
• Collaborate with colleagues to refine teaching strategies and contribute to curriculum development.

What We Are Looking For

• Bachelor’s degree in Mathematics, Science, or Education-related fields.
• At least 1-2 years of teaching experience preferred, but fresh graduates passionate about teaching are welcome to apply.
• Familiarity with the Singapore secondary school curriculum.
• Strong interpersonal skills, with the ability to motivate and engage students.
• Availability to work on weekends and within the stated working hours.

What We Offer

• Competitive salary package based on qualifications and experience.
• Opportunities for professional growth and learning.
• A fulfilling career where you make a real difference in students' lives.

Application Details
We welcome candidates from all backgrounds who meet the job requirements. Join us in creating an inclusive and enriching learning environment!

Research Engineer

As part of National Semiconductor Translation and Innovation Center (NSTIC), the candidate will be involved in the photonic device fabrication based on Silicon-based material platforms (Silicon-on-Insulator, Silicon Nitride, Germanium (Ge), and SiGe), Lithium Niobate, and III-V semiconductor materials. The candidate will work closely with multidisciplinary team with diverse expertise.

Responsibilities

• Develop, design, and optimize integration flow for Silicon Nitride-based and Lithium Niobate-based photonic devices, including lithography, etching, deep-trench, and dicing.
• Design of experiments (DOE) for different process integration flows.
• Liaise between design, fabrication, and testing teams to ensure smooth process integration and device fabrication.
• Metrology, data analysis, and documentation
• Present and discuss experimental data to the team

Qualifications

• Degree in Electronics Engineering, Microelectronics, Physics, or equivalent.
• Experiences in semiconductor industry, preferably in silicon photonic processes.
• Good critical thinking and problem-solving ability.
• Able to work with cross-functional team, with good communication/presentation skill.
• Able to work in a fast-paced and collaborative environment

Research Engineer

As part of National Semiconductor Translation and Innovation Center (NSTIC), the candidate will be involved in the development of heterogeneous integration process for realizing multi-functional photonic devices. The candidate will work closely with multidisciplinary team with diverse expertise.

Responsibilities

• Develop, design, and optimize die-to-wafer bonding process employing III-V semiconductor material, Lithium Niobate on Insulator (LNOI), and Si-based material platforms.
• Design of experiments (DOE) for various Die-to-Wafer (D2W) bonding methodologies.
• Liaise between design, fabrication, and testing teams to ensure smooth process integration and device fabrication.
• Metrology, data analysis, and documentation
• Present and discuss experimental data to the team

Qualifications

• Degree in Electronics Engineering, Microelectronics, Physics, or equivalent.
• Experience in semiconductor industry is preferred. Those with strong familiarity with wafer-to-wafer and die-to-wafer bonding process may be considered for a senior position.
• Good critical thinking and problem-solving ability.
• Able to work with cross-functional team, with good communication/presentation skill.
• Able to work in a fast-paced and collaborative environment

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 Research Engineer will work closely with the Principal Investigator on several research projects on using machine learning in chemical and optimization problems
• The Research Engineer will help to develop machine learning models for both theory and applications in advanced control systems

Job Requirements

• B.S. or M.S degree in a relevant area, e.g., Chemical Engineering, Control Engineering, Computer Science, Chemistry, etc.
• Experienced in machine learning, optimization and programming languages (e.g., python, Matlab, C++, etc)
• Any experience with 1) advanced control, 2) machine learning theory and applications, and 3) chemical engineering and chemistry is a plus

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 Research Engineer will work closely with the Principal Investigator on several research projects on using machine learning in chemical and optimization problems
• The Research Engineer will help to develop machine learning models for both theory and applications in advanced control systems

Job Requirements

• B.S. or M.S degree in a relevant area, e.g., Chemical Engineering, Control Engineering, Computer Science, Chemistry, etc.
• Experienced in machine learning, optimization and programming languages (e.g., python, Matlab, C++, etc)
• Any experience with 1) advanced control, 2) machine learning theory and applications, and 3) chemical engineering and chemistry is a plus

Research Engineer

As part of National Semiconductor Translation and Innovation Center (NSTIC), the candidate will be involved in the photonic device fabrication based on Silicon-based material platforms (Silicon-on-Insulator, Silicon Nitride, Germanium (Ge), and SiGe), Lithium Niobate, and III-V semiconductor materials. The candidate will work closely with multidisciplinary team with diverse expertise.

Responsibilities

• Develop, design, and optimize integration flow for Silicon Nitride-based and Lithium Niobate-based photonic devices, including lithography, etching, deep-trench, and dicing.
• Design of experiments (DOE) for different process integration flows.
• Liaise between design, fabrication, and testing teams to ensure smooth process integration and device fabrication.
• Metrology, data analysis, and documentation
• Present and discuss experimental data to the team

Qualifications

• Degree in Electronics Engineering, Microelectronics, Physics, or equivalent.
• Experiences in semiconductor industry, preferably in silicon photonic processes.
• Good critical thinking and problem-solving ability.
• Able to work with cross-functional team, with good communication/presentation skill.
• Able to work in a fast-paced and collaborative environment

The School of Materials Science and Engineering (MSE) provides a vibrant and nurturing environment for staff and students to carry out inter-disciplinary research in key areas such as Computational Materials Science, Characterisation Materials Science, Defence Composite Materials, Functional Composite Materials, Energy, Nanomaterials, Low Dimensional Materials, Biomaterials Materials, Biological Materials, Bioinspired Materials and Sustainable Materials.

The job is for automated high-throughput experimentation and robotic development, running AI-driven automated worklows for thin film development, electrical and opto-electronic characterization as well as device applications. The RF will be responsible for building a fully automated robotic platform to execute the scientific goals laid out in the project, with multi-layer perovskite film deposition and crystallization, followed by rapid characterization to create a database (primarily building upon the SpinBot system we have purchased from SciPrios: https://www.sciprios.de/lab-automation/spincoating-robots/ ). The RF is also expected to execute optimization algorithms developed by the team to identify relevant regions of interest in the input parameter space. Python programming, database management and robotic interfacing (both with robots and electrical and mechanical equipment) is necessary for this job.

The work is critical in the goal of materials-by-design, especially considering sparse, yet well-labelled materials science datasets. The work performed here will continue to maintain NTU’s leadership in the space of AI for materials science, especially with digital discovery and data-driven learning being pioneering areas of research.

Key Responsibilities:

The Research Fellow is expected to work in the space of High-Throughput experimentation and automated robotics for synthesis, thin film deposition and electrical and opto-electronic characterization. Specifically, the RF is expected to work on the following areas of research:

• Building a self-driving lab with robots, spin-coater and/or doctor blade coating systems, integrated with sample transfer and electrical and opto-electronic characterization.
• Operating and maintaining the robotic systems and working with protocols, interfacing with characterization equipment, environmental chambers, and a data management system.
• Execute optimization algorithms that allow for fully automated experimentation, working closely with other members of the team.
• To assist in the creation and maintenance as well as performance of experiments in a self-driving thin film lab along with driving the scientific goals of the project, hypothesis generation and working closely with a 4-member PhD team.

Job Requirements:

• PhD degree in materials science, physics, chemistry, electrical engineering and/or related field
• Strong previous experience in building and assembling robotic systems, especially in materials research is critical.
• Experience in solution-based materials deposition is necessary, especially in halide-perovskite based systems.
• Skills and experience in quantitative research, robotics and electrical characterization and interfacing.
• Expertise in materials characterization techniques is necessary.
• Good analytical and academic writing skills
• Must also be informed in data management
• A good team player with effective communication skills and the ability to work closely with faculty, staff and external collaborators
• Good project management skills
• Entry level candidates are welcome to apply

We regret to inform that 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 Research Engineer will work closely with the Principal Investigator on several research projects on using machine learning in chemical and optimization problems
• The Research Engineer will help to develop machine learning models for both theory and applications in advanced control systems

Job Requirements

• B.S. or M.S degree in a relevant area, e.g., Chemical Engineering, Control Engineering, Computer Science, Chemistry, etc.
• Experienced in machine learning, optimization and programming languages (e.g., python, Matlab, C++, etc)
• Any experience with 1) advanced control, 2) machine learning theory and applications, and 3) chemical engineering and chemistry is a plus

• Excellent career progression structure
• Opportunities for professional development
• Good overall company benefits

As a Research Analyst, you will be responsible for the following duties:

• Conduct statistical analyses and support research projects utilizing SPSS or STATA software.
• Oversee the organization’s databases, perform data extraction, and prepare statistical reports.
• Provide assistance in coordinating research projects, including handling tasks related to ethics approval and research funding applications, if required.
• Perform other ad hoc duties as assigned.

Requirement:

• Possess a Degree n in Statistics, Mathematics or other relevant areas.

To apply, simply click on the ‘’apply’’ button in the job advertisement or alternatively, you can send in your resume via email

Email Address: [email protected]

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

ALLIED SEARCH PTE. LTD.

EA LICENSE : 19C9777

Responsibilities:

1. Develop distributed artificial intelligence systems and deploy them on large-scale clusters or clouds.
2. Develop and optimize algorithm systems from specific scenarios and problems, and produce solutions applied to the scenarios.
3. Participate in the integration design and optimization of artificial intelligence technology and existing tools to improve product performance.
4. Write high-quality scientific papers and have the opportunity to serve as the first author of important papers.

Requirements:

1. Proficient in TensorFlow/PyTorch, Ray/DeepSpeed/NVIDIA Megatron, and familiar with the internal operating mechanisms of these systems.
2. Familiar with various optimization algorithms and model architectures, proficient in Python or C++ optimization algorithm libraries, including various classical algorithms and models based on gradients (BERT, GPT-3, Swin Transformer, ViT, MLP-Mixer).
3. Familiar with SaaS, architecture, compilers, networks, CUDA, and other related knowledge or have relevant project experience.
4. Strong programming and engineering implementation abilities. Those who have won programming competition awards or published high-quality papers will be given priority in recruitment.
5. Bachelor's degree or above from 211, 985, or overseas well-known universities, majoring in computer science, software engineering, electronic information, automation, mathematics, physics, or other artificial intelligence-related majors.

About Research Department:

The Research Department supports the agency’s programmes and services, through evaluations, implementation research, feasibility studies, needs assessment, ground sensing, and primary and secondary research. We also support programme development in terms of writing Theory of Change (TOC), design thinking and evidence synthesis.

We are seeking motivated and independent individuals passionate about making a difference through the use of data to join our team.

Responsibilities:

• Conduct research, programme evaluations and needs assessments.
• Collaborate with practitioners to generate actionable insights to refine and improve existing initiatives.
• Drive initiatives that facilitate the use of evidence in programme and service development.
• Curate and communicate resources to support data driven decision making within the organization.

Requirements:

• Bachelor’s degree in social science disciplines with 3 years of working experience in relevant sectors
• Familiarity and experience with research methods and statistics used in social sciences
• Experience in planning and conducting research and/or evaluation studies.
• Excellent oral and written communication skills.
• Basic understanding of human centred design would be advantageous
• Independent in executing projects and work tasks
• Good listening skills
• This position is on Contract basis

Work Location: Lengkok Bahru

*Please submit a sample of written work (ie. thesis) together with the application

Interested applicants are to submit their resume to [email protected]. Please visit www.fycs.org for more details.

Title: Secondary Science Teacher (August 2025)

Department/Division: Secondary

Employee Group: Teacher

Reports to: Principal, Vice-principal

Works collaboratively with: All teaching and operational staff

Supervises: None

KEY ACCOUNTABILITY

To improve the quality of learning outcomes for students by providing teaching and learning ‘best practices’ within the framework of the school’s Mission, Vision, Core Values, Learning Principles, Culture, and the International Baccalaureate (IB) Programmes.

TEACHER STANDARDS

1. Teaching is focused on conceptual understanding

Teaching ensures students have frequent opportunities to engage with the statement of inquiry / central idea, key and additional concepts and develop their own conceptual understandings. They can explain or demonstrate their learning, reflect on their learning and make connections to unfamiliar situations or real-world contexts

2. Teaching is based on inquiry

Teaching develops a student's natural curiosity and wonder to provide opportunities for students to investigate, inquire into and answer questions that they have formulated.

3. Teaching is differentiated to meet the needs of all learners

Learning engagements are differentiated and take into account language proficiency and the depth, complexity and pace of learning needed by students. Students are grouped flexibly according to what they are ready to learn and to provide challenge and enrichment.

4. Teaching is informed by assessment

Students receive multiple forms of feedback (self, peer, teacher) and take ownership of their learning, viewing assessment as an ongoing process toward their goals. They understand their progress and can identify actions to improve. Assessment data and observations inform instructional decisions and feedback.

5. Teaching is developed in local and global contexts

Learning engagements provide opportunities for students to learn about others and the world by engaging and taking action with their community and environment.

6. Teaching reflects how students learn

Teaching plans for implicit and explicit opportunities to develop ATL skills. With guidance, students take responsibility for their own ATL skill development, including setting goals, reflecting on their progress and making adjustments in order to meet their goals.

7. Teaching is culturally responsive

Pedagogical approaches incorporate experiences, contributions and histories from across cultures, nationalities, backgrounds, identities and perspectives so students feel represented and seen in the curriculum.

8. Teaching ensures that visible routines and expectations are in place

Lesson expectations are clearly communicated with resources to support students. Behaviour expectations in the class are co-constructed and modelled by the teacher. Low level behaviour is immediately and consistently addressed and positive behaviour management approaches are used to nurture a positive environment. The teacher pays careful attention to monitor the wellbeing of students and regularly communicates concerns with parents.

9. Teaching considers the environment for learning

The learning environment promotes relationships built on trust. There is a positive student climate with opportunities for student collaboration with a balance of student/teacher led work. The teacher seeks contributions from everyone. Students take risks, utilising technology and the environment to develop the skills taught. Students can regulate their learning and attribute their success to things they can change.

10. Teaching uses a variety of strategies to progress learning

Lessons are well-planned with clear learning intentions shared with students. Teaching engages and excites the students, with common misconceptions addressed. Content is sequenced, considering previous teaching and strategies like retrieval practice are used to reinforce learning. Knowledge and skills are applied across subjects.

Additional Responsibilities

• Ensure the safety and well-being of all students in accordance with CIS administrative policies and divisional procedures.
• Complete all required Child Protection training.
• Participate in the Individual Work Plan (IWP) process:
• Meet the expectations as outlined in the CIS Teacher Job Description, the CIS Teacher Standards, and the CIS IB Programme Expectations for Teachers.
• Solicit feedback from parents or students via surveys
• Develop and implement an Individual Work Plan (IWP) that supports the school’s Strategic Plan
• Reflect individually and collaboratively (IWP Meetings with Principal) on the aforementioned components.
• Be actively involved in special events (e.g. Talent Shows, Steam Fair, Exhibitions, etc.), and provide co-curricular and / or coaching as required based on skill set
• Contribute to community building activities
• Be dependable (be where you are expected to be, complete tasks on time; punctual (arrive at school, meetings, etc. on time); and prepared for class (all materials set up and ready for student arrival; plans readily accessible).

REQUIRED QUALIFICATIONS

• A relevant Bachelor’s degree or equivalent
• A teaching certificate/credential
• Successful teaching experience
• Excellent organizational skills
• Positive communication skills
• Capacity to work collaboratively as the member of a team

EXPERIENCE

Training and experience in the International Baccalaureate MYP, or DP preferred

COMPETENCIES:

• Culturally competent and able to work with culturally diverse staff and students in a bilingual and multilingual setting.
• Effective selection and use of instructional strategies that leverage the linguistic and cultural assets of ELL students.
• An effective communicator with the capacity to listen, empathise, and connect, as well as teach, present, and motivate.
• A lifelong learner who keeps up-to-date with current research and best practices in teaching and learning.
• A facilitator able to build strong and productive relationships with students, parents, academic and non-academic staff, and the community.
• A change agent, who can motivate and manage positive change in complex environments.
• A strategic thinker who is able to see connections between the school’s vision and mission and IB programme philosophy and create action steps to move the school forward.
• An activator with motivation, energy, and enthusiasm to spare.
• A producer who is results oriented and has a strong sense of accountability for student success.
• A character builder and role model, whose values, words, and deeds are marked by trustworthiness, respect, and integrity.
• An active contributor whose priority is making contributions to the development and success of others.

SAS Institute Pte. Ltd.

Data Analyst – SAS Data Science AIML Program supported by IMDA Company-Led Training Programme

Roles & Responsibilities

Interested to pursue a career in Analytics?

Digital transformation is happening everywhere, impacting our lives daily. With fast-paced development and adoption in artificial intelligence and machine learning, careers for the future demand for talents with analytical minds. Individual are empowered to make tactical decisions and strategies, by building models that provide accurate, reliable and accessible metrics.

SAS is committed to nurture qualified, capable individuals, and deepening the skills amongst fresh graduates and young working professionals to be future ready. The SAS Data Science AIML Program is IMDA's Company-Led Training (CLT) initiative to recruit and train fresh professionals in Data Analytics, Artificial Intelligence and Machine Learning.

Data analyst role is a path to future roles such as Data Science, AI Developer, ML Engineer, etc. Build your caeer path here by building your skills today for tomorrow's future. Training skills are mapped to TeSA Skills Framework for ICT.

We are currently seeking candidates interested in building a career in Data Analytics.

Why SAS?

SAS is the leader in analytics. Through innovative analytics, business intelligence and data management software and services, SAS helps customers at more than 80,000 sites make better decisions faster. Since 1976, SAS has been giving customers around the world THE POWER TO KNOW®.

This program first started as SAS Business Intelligence and Analytics (BIA) Program in year 2012. It is Singapore’s largest data science and analytics development program supported by IMDA – established over a decade – our curriculum is curated with modules that are constantly updated to meet the latest development and market trends. The program provides in-depth teaching which consists of structured training with assessments, certifications, supervision, and mentorship. As we enter its tenth year, it has since been rebranded as SAS Data Science Artificial Intelligence Machine Learning (AIML) Program to reflect advancement in our training content as well as a greater focus on AIML.

How is the program structured?

Your journey begins at SAS with 4 months of intensive training and assessments to build your knowledge and skills on SAS Programming, SQL, visual analytics, data preparation, machine learning, forecasting and the list goes on. During the course, you will also attain certifications that are globally accredited, where SAS digital badges posted on your social network profiles can be easily verified by anyone via Credly, our digital credentialing program partner. Finally, upon successful completion of your training, you will join one of our partners for a 6-month period, where you can apply what you have learnt and put your skillsets into solving real-world problems.

Skills You will Develop:

· Ability to apply and utilize analytical, statistical, and programming skills to collect, analyze, and interpret large datasets

· Ability to develop and apply custom data models and algorithms to apply to datasets

· Ability to use supervised and unsupervised machine learning techniques to increase and optimize business outcomes

· Ability to design, develop and implement fact-based and data-driven solutions to meet business challenges in the era of artificial intelligence

· Ability to create visualizations and presentations to deliver analytical findings and provide actionable insight

What we are looking for:

· Graduates who can join us from April 2025 OR working professionals who graduated less than 3 years from their degree.

• B.A. or B.S. degree with a quantitative focus in Computer Science, Information Systems, Math, Statistics, Economics, or equivalent training (we will also consider relevant training attained post-graduation such as Diploma in Data Science).
• Experience or proficient in querying and manipulating complex raw datasets for analysis using SQL, Python, or R, exposure to ETL.

· Strong analytical, problem-solving, and critical thinking skills.

· Excellent communication skills.

· Big ambitions to succeed within the IT industry.

· Ability to work autonomously and in a fast-paced environment.

What we offer you:

· Train and be paid on-the-job (monthly remuneration throughout the Program duration) for industry

recognized training and qualifications.

· Globally recognised SAS certifications awarded during the Program duration.

· Live interactive classes – Develop innovative problem-solving capabilities in modern techniques of

data science using a live online classroom through interactive lectures and labs with advanced

course materials provided.

· Access to virtual labs – using SAS high performance software access to develop codes/models

where learning can take place anytime and anywhere.

· Mentorship and access to resources during the program duration.

· Guaranteed OJT with established local enterprises/SAS partners for 6 months so you can gain

hands-on industry project experience and hone your skills.

· Join our network of program Alumni and SAS communities.

We have multiple start dates all year round, so why not make an application today?

Kindly be informed that only shortlisted candidates will be contacted.