Job Subject Title: Restaurant Clerk

Job Summary:

· F&B Industary

· Permanent role

· Basic range from $1800 to $2200

· 6 Days work a week , 10am to 10pm

· Location: Toa Payoh

Responsibilities

• Serving dishes and drinks
• Clearing table
• Seats arrangement
• Maintain restaurant cleanliness
• Cashier Duty
• Beverage Station

Requirements

• Minimum 1 years working experience in F&B
• Able to work in fast paced environment
• Knowledge with POS system is added advantages

Please submit your updated resume by using the APPLY NOW BUTTON

By submitting your personal data and/or resume to us in connection with your job application, you will be deemed to have agreed and consented to us in collecting, using, retaining, and disclosing your personal data and/or resume to prospective employers for the purpose of the evaluating, processing and administration by company relating to this job application.

We regret to inform that only shortlisted candidates would be notified

We wish you all the best in your career search.

You are welcome to visit our website at www.rdtpsg.com

RD Trusted Partners Pte Ltd| EA License No.: 24C2352

Devon Yang Yue Teng | EA Personnel No.: R24123723

Job Info:

• Working hours: 3 rotating shift work (3 rest day every 2 weeks)
  - Morning – 7am to 4pm
  - Afternoon – 2pm to 11pm
  - Night – 10.30pm to 7.30am (got night shift allowance at $14/night) Entitled to OT
• Location: CBD Area

Responsibilities:

• The Facilities Techinican ensures that facilities are safe and functional by performing preventive and corrective maintainance activities.
• Conducts technical troubleshoooting for mechanical and electrical issues in compliance with the quality and safety standards, regulations and organizational Workplace safety and Health (WSH) practices.
• Perform daily operational activities which includes attending to customer's enquiries, needs and complaints.
• Perform preventive and breakdown techinical support and maintenance for mechanical/electrical services, plumbing & sanitary services, Aircon servicing and maintenance, ACMV systems, chillers and electrical control

Requirements:

• 2 years or more related experience in Facilities Management will be an added advantage. -
• No experience is welcome to apply (on job Training) -
• Positive attitude, good interpersonal and customer-centric skills

Please submit your updated resume by using the APPLY NOW BUTTON

By submitting your personal data and/or resume to us in connection with your job application, you will be deemed to have agreed and consented to us in collecting, using, retaining, and disclosing your personal data and/or resume to prospective employers for the purpose of the evaluating, processing and administration by company relating to this job application.

We regret to inform that only shortlisted candidates would be notified

We wish you all the best in your career search.

You are welcome to visit our website at www.rdtpsg.com

EA License No: 24C2352
EA Personnel No: R24123724
EA Personnel Name: Tiffany Ng Xin Yi

Working hours: 5.5 working days

(8.30am to 5.30pm, 8.30am to 12.30pm)

Entilted to OT pay

Location: CBD area

Responsibilities

• To carry out all preventive and breakdowns maintenance for all Aircon equipment.
• Ensure safe keeping of hand tools and maintain good housekeeping.
• Ensure all works are carried out safely and/or in accordance with safety procedures.
• Provide technical advice and assistance on all maintenance functions.
• Any other tasks, when required by immediate superior.
• Prepare service reports after every completed job for customer's endorsement.
• Communicate with clients with regards to problems in equipment and post-job reports.Any ad-hoc tasks given by supervisor or management.

Requirements

• Candidates with at least 2 years of related techinical experience in chillers, ACMV equipment, switchboard and generators will be an advantage.
• Candidates with no experience are welcome to apply (on Job Training).
• Positive attitude, good interpersonal and customer-centric skills.

Please submit your updated resume by using the APPLY NOW BUTTON

By submitting your personal data and/or resume to us in connection with your job application, you will be deemed to have agreed and consented to us in collecting, using, retaining, and disclosing your personal data and/or resume to prospective employers for the purpose of the evaluating, processing and administration by company relating to this job application.

We regret to inform that only shortlisted candidates would be notified

We wish you all the best in your career search.

You are welcome to visit our website at www.rdtpsg.com

RD Trusted Partners Pte Ltd| EA License No.: 24C2352

Devon Yang Yue Teng | EA Personnel No.: R24123723

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

One Research Engineer position is open in the research group of Assistant Professor Zhao Lin, at the Department of Electrical and Computer Engineering, National University of Singapore (NUS).

The Research Engineer (RE) will work closely with the Principal Investigator (PI) on visual navigation foundation model for mobile robots, exploration using reinforcement learning control, learning-based control, etc. The RE will develop and train algorithms that enable intelligent and robust autonomous navigation in unseen environments. Hardware experiments will be carried out to test and demonstrate the applications of the developed algorithms.

The initial appointment duration is 12 months, which can then be extended based on an evaluation at the end of the initial appointment.

The candidates should have a Master’s degree from a reputable university, with expertise in robot learning, reinforcement learning, and aerial robotics.

A successful candidate should have a solid mathematical background (such as in calculus, linear algebra, ODE/PDE, optimization, real analysis, probability theory, stochastic process, etc). Strong publication records in leading journals and conferences of the relevant fields, and practical hands-on experience in applying visual foundation models to real mobile robots are required.

Qualifications

• Possess a master’s degree in Computer Engineering/Science or strictly related (e.g., either Electrical Engineering, Mathematics, Communication, Mechanical, etc.)
• Have research experiences in computer vision, vision foundation model, control theory, reinforcement learning.
• Possess a strong academic record proved through coursework (especially math-intensive courses) and projects during his/her undergraduate and master’s studies.
• Proficient in C++ or Python. Familiar with machine-learning tools and packages. Familiar with various 3D simulation environments for quadrotor simulations. Familiar with ROS and quadrotor control algorithms.
• Have well-established analytical and problem-solving skills, as documented by publications that are relevant to the field of robot navigation, reinforcement learning control for robotics applications.
• Excellent communication skills as he/she is required to publish and present results at conferences and journals independently.
• Activity performed in world-class research environments is highly valued.

Working hours: 3 rotating shift work (3 rest day every 2 weeks)

Location: CBD

Entitled to Performance bonus + AWS

Responsibilities

• Perform daily operational activities which includes attending to customer's enquiries, needs and complaints.
• Perform preventive and breakdown techinical support and maintenance for mechanical/electrical services, plumbing & sanitary services, Aircon servicing and maintenance, ACMV systems, chillers and electrical control. - Perform electrical related work for all Low and High voltage systems, and preventive & breakdown technical support.
• Inspect and maintain site electrical equipment.

Requirements

• Candidate must possess Licensed Electrical Worker (LEW) Certified Grade 7.
• Recognized techincal certificate in Mechanical & Electrical, Building Services, Facility Technology or its equivalent.
• Candidates with WSQ qualifications are welcome to apply.
• Possess hands on and technical knowledge with minimum 3 years' experience in Facilities Management.
• Able to perform shift work

Please submit your updated resume by using the APPLY NOW BUTTON

By submitting your personal data and/or resume to us in connection with your job application, you will be deemed to have agreed and consented to us in collecting, using, retaining, and disclosing your personal data and/or resume to prospective employers for the purpose of the evaluating, processing and administration by company relating to this job application.

We regret to inform that only shortlisted candidates would be notified

We wish you all the best in your career search.

You are welcome to visit our website at www.rdtpsg.com

RD Trusted Partners Pte Ltd| EA License No.: 24C2352

Devon Yang Yue Teng | EA Personnel No.: R24123723

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

One Research Engineer position is open in the research group of Assistant Professor Zhao Lin, at the Department of Electrical and Computer Engineering, National University of Singapore (NUS).

The Research Engineer (RE) will work closely with the Principal Investigator (PI) on visual navigation foundation model for mobile robots, exploration using reinforcement learning control, learning-based control, etc. The RE will develop and train algorithms that enable intelligent and robust autonomous navigation in unseen environments. Hardware experiments will be carried out to test and demonstrate the applications of the developed algorithms.

The initial appointment duration is 12 months, which can then be extended based on an evaluation at the end of the initial appointment.

The candidates should have a Master’s degree from a reputable university, with expertise in robot learning, reinforcement learning, and aerial robotics.

A successful candidate should have a solid mathematical background (such as in calculus, linear algebra, ODE/PDE, optimization, real analysis, probability theory, stochastic process, etc). Strong publication records in leading journals and conferences of the relevant fields, and practical hands-on experience in applying visual foundation models to real mobile robots are required.

Qualifications

• Possess a master’s degree in Computer Engineering/Science or strictly related (e.g., either Electrical Engineering, Mathematics, Communication, Mechanical, etc.)
• Have research experiences in computer vision, vision foundation model, control theory, reinforcement learning.
• Possess a strong academic record proved through coursework (especially math-intensive courses) and projects during his/her undergraduate and master’s studies.
• Proficient in C++ or Python. Familiar with machine-learning tools and packages. Familiar with various 3D simulation environments for quadrotor simulations. Familiar with ROS and quadrotor control algorithms.
• Have well-established analytical and problem-solving skills, as documented by publications that are relevant to the field of robot navigation, reinforcement learning control for robotics applications.
• Excellent communication skills as he/she is required to publish and present results at conferences and journals independently.
• Activity performed in world-class research environments is highly valued.

• 2 year contract + perm benefit

• Nearest MRT: Tampines East

• Previous experience in research is more advantageous.

Job Description

1. Support the conceptualisation and management of studies related to correctional research and evaluation.
2. Conduct literature reviews and write reports.
3. Collect and analyze research data.
4. Provide publication-related support.
5. Coordinate with internal and external parties to facilitate research studies or related requests.
6. Maintain online knowledge management initiatives and miscellaneous management of e-resources.
7. Any other duties as assigned.

Job Requirement

1. Singaporean only.
2. Min Degree (Preferably Degree in Psychology/Social Sciences/ relevant qualification).
3. Strong writing, interpersonal, and communication skills.
4. Proficiency in statistical software (SPSS).
5. Previous experience in research is more advantageous.

*Salary offered depends on experience and qualification.

Interested candidates please click “Apply Now”.

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

Nicky Yew Soo Ee

Fulfillment Team

BGC Group Pte Ltd

EA: 05C3053

Registration No: R22109448

Job description – Digital technologies and Artificial Intelligence (AI) in preventing and monitoring dengue and Covid-19: A comparative study of Singapore and other countries

Position: Research Assistant (Bachelor degree/Master level)
Contract: 4 months
Location: Singapore, CNRS@CREATE (NUS campus)

We are seeking a motivated Research Assistant (RA) to support a multidisciplinary project that investigates prevention strategies for dengue and Covid-19 in Singapore (https://www.cnrsatcreate.cnrs.fr/space/). The research emphasizes the transformative role of digital technologies and AI in public health management.

Tasks:

• Conduct literature reviews on the use of digital technologies and AI applications in public health, focusing on dengue and Covid-19 prevention, monitoring, and control.
• Assist with data collection through interviews with stakeholders (public health officials, tech developers, researchers) and through document analysis of government reports, policies, and relevant publications.
• Support comparative analysis of prevention strategies, focusing on digital technologies (mobile apps, AI, IoT, drones) used in different countries.
• Analyze secondary health data (e.g. dengue incidence rates, app usage statistics, etc.) and integrate qualitative findings from interviews.
• Assist in preparing academic manuscripts, policy briefs, and presentations.

Qualifications:

· Bachelor's or Master's degree in public health, geography, urban studies, data science, or a related field.

· Experience with qualitative research methods.

· Strong interest in digital technologies, AI, and public health in Asia.

· Proficiency in literature reviews, data analysis, and report writing.

· Excellent communication skills and the ability to work in a collaborative environment.

Preferred skills:

· Knowledge of health policies and urban public health challenges in Asia.

• Familiarity with research ethics, especially in relation to interviews or handling public health data
• Familiarity with Southeast Asian contexts, especially Singapore and neighboring countries.
• Proficiency in English, both written and spoken, is essential. Proficiency in additional languages spoken in Southeast Asia would be a plus, though not required.

· Ability to work independently with minimal supervision, effectively managing time, staying organized, and ensuring timely completion of tasks.

Additional information:

· The applicant must be based in Singapore and have the right to work there.

· The grade of appointment will be determined based on the candidate’s academic qualifications and years of relevant experience.

Application: Please send your CV, a cover letter, and one writing sample (e.g., academic paper, report) to elisabeth.peyrouxatcnrs.fr. In your cover letter, please highlight your relevant experience and explain why you are interested in this research project.

Application Deadline: 16 December 2024

Start Date: 2nd of January 2025

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

One Research Engineer position is open in the research group of Assistant Professor Zhao Lin, at the Department of Electrical and Computer Engineering, National University of Singapore (NUS).

The Research Engineer (RE) will work closely with the Principal Investigator (PI) on visual navigation foundation model for mobile robots, exploration using reinforcement learning control, learning-based control, etc. The RE will develop and train algorithms that enable intelligent and robust autonomous navigation in unseen environments. Hardware experiments will be carried out to test and demonstrate the applications of the developed algorithms.

The initial appointment duration is 12 months, which can then be extended based on an evaluation at the end of the initial appointment.

The candidates should have a Master’s degree from a reputable university, with expertise in robot learning, reinforcement learning, and aerial robotics.

A successful candidate should have a solid mathematical background (such as in calculus, linear algebra, ODE/PDE, optimization, real analysis, probability theory, stochastic process, etc). Strong publication records in leading journals and conferences of the relevant fields, and practical hands-on experience in applying visual foundation models to real mobile robots are required.

Qualifications

• Possess a master’s degree in Computer Engineering/Science or strictly related (e.g., either Electrical Engineering, Mathematics, Communication, Mechanical, etc.)
• Have research experiences in computer vision, vision foundation model, control theory, reinforcement learning.
• Possess a strong academic record proved through coursework (especially math-intensive courses) and projects during his/her undergraduate and master’s studies.
• Proficient in C++ or Python. Familiar with machine-learning tools and packages. Familiar with various 3D simulation environments for quadrotor simulations. Familiar with ROS and quadrotor control algorithms.
• Have well-established analytical and problem-solving skills, as documented by publications that are relevant to the field of robot navigation, reinforcement learning control for robotics applications.
• Excellent communication skills as he/she is required to publish and present results at conferences and journals independently.
• Activity performed in world-class research environments is highly valued.

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

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

We regret that only shortlisted candidates will be notified.

Job Description

We are seeking to recruit a research fellow to join the Bezos Centre for Sustainable Protein at the National University of Singapore (NUS) launched on 5 September 2024, the first of its kind in Asia to advance research in alternative proteins. Led by experts from NUS and research institutes in Singapore, the Centre aims to drive global food security and accelerate regional innovation. The focus will be on microalgae research and biomass fermentation, to produce high-quality, affordable, and sustainable microbial proteins from microalgae and biomass fermentation that can be further developed into cultured meat and plant-based protein hybrids. Microbial proteins will be cultivated through fermentation and processed using emerging bio-physical techniques for effective biotransformation, to improve digestibility, flavour, and nutritional profile. The research will also investigate methods to scale up the production of alternative protein products. More information about the centre can be found here: https://www.fst.nus.edu.sg/bezoscentre/.

As a research fellow, you will lead projects to optimise microalgae cultivation processes and apply bio-physical techniques to improve nutritional and organoleptic properties. Appointments will be initially made on a 1-year contract, renewable for up to 5 years.

Responsibilities:
- Conduct research activities in accordance with the Centre objectives involving but not limited to:
i. Conversion of industrial food side-streams into media suitable for microalgae cultivation.
ii. Microalgae cultivations in flask and benchtop bioreactors under batch, fed batch, or continuous modes.
iii. Conduct chromatographic, spectroscopic, and fluorescent analyses to monitor microalgae growth.
iv. Monitor the success of bio-physical techniques via in vitro digestibility studies, chromatography, and advanced microscopic analyses.
v. Assist in scaling up cultivations to pilot scale setting.
- Conceptualise new ideas, plan, and drive the overall direction of projects.
- Independently execute experiments, analyse data, and interpret results in a systematic and logical manner.
- Prepare formal reports, publications, grant applications, and presentations.
- Contribute to project management by overseeing budgets, designating resources, monitoring progress, and managing stakeholders.
- Mentor research assistants, graduate and undergraduate students.
- Coordinate research efforts with an interdisciplinary and international team of researchers within the Centre and other stakeholders.
- Coordinate procurement and liaison with vendors/suppliers.
- Ensure proper laboratory operation and equipment maintenance.
- Other duties as required.

Applications:
Please include the cover letter, CV (including personal particulars, academic and employment history, complete list of publications/oral presentations), academic transcripts, university certificate, and the contact information of 3 referees in your application. Only shortlisted candidates will be notified.

Qualifications

- A PhD degree in food science, bioprocess engineering, chemical engineering, microbiology, or a related discipline.
- Hands-on-experience in any of the following areas: single-cell biomass cultivation, chromatographic analytical methods, flow cytometry, upcycling of food side-streams, bioreactor or fermenter operation, qPCR, design of experiments, in vitro digestibility studies, single-cell downstream processing. Other areas where the candidate can prove its utility towards microalgae/biomass fermentation for food applications are also welcome.
- Proven track record in peer-reviewed research publications and presentations at international conferences.
- Excellent problem solving, critical thinking, and analytical skills.
- Strong verbal and written communication skills in English are required.
- Excellent communication and interpersonal skills to collaborate within a culturally diverse and cross-disciplinary team, and other stakeholders.
- Proactive, with the ability to conduct experiments independently.
- Highly motivated in developing sustainable and novel foods.
- Meticulous, well-organised, and detail oriented.

• Position title : Afterschool Care Teacher
• Location:The Woodleigh Mall
• Working Days: 5.5day
• Working Hours-Monday to Friday 1030am to 7pm
  - Saturday 9.30am to 1.30pm
• Salary : $2,200 - $3,400

Interested applicants can also send your resume to WA: +65 8827 8712 (Ms Lynne) and allow our Consultant to match you with our Clients. No Charges will be incurred by Candidates for any service rendered.

TAN LEE XIAN Reg No: R24123487

The Supreme HR Advisory Pte Ltd EA No: 14C7279

Job Responsibilities

• Implement the program for the class in accordance with the policies, guidelines, framework and philosophy of the centre.
• Guide primary school children (primary 1 to 5) to ensure completion of daily homework.
• Keep accurate records of children’s progress and address each child’s educational and developmental needs on an individual basis to the best of your ability.
• Responsible for the preparation and upkeep of teaching resources, arrangement, appearance and learning environment of the classroom.
• Maintain and build relationships with children and parents.
• Conduct unique enrichment programmes.
• Ensure safety and timely transfer of students from school to student centre.
• Ensure safety of children within the premises.
• Any other ad-hoc duties as delegated by Centre Director.

Job Requirements

• Diploma or higher in any discipline with minimum of 2 years of teaching experience with primary school students.

Job Subject Title: Restaurant Clerk

Job Summary:

· F&B Industary ( Thai Food )

· Permanent role

· Basic range from $1800 to $2200

· 6 Days work a week , 10am to 10pm

· Location: Toa Payoh

· Training and Development for employee

Responsibilities

• Serving dishes and drinks
• Clearing table
• Seats arrangement
• Maintain restaurant cleanliness
• Cashier Duty
• Beverage Station

Requirements

• Minimum 1 years working experience in F&B
• Able to work in fast paced environment
• Knowledge with POS system is added advantages

Please submit your updated resume by using the APPLY NOW BUTTON

By submitting your personal data and/or resume to us in connection with your job application, you will be deemed to have agreed and consented to us in collecting, using, retaining, and disclosing your personal data and/or resume to prospective employers for the purpose of the evaluating, processing and administration by company relating to this job application.

We regret to inform that only shortlisted candidates would be notified

We wish you all the best in your career search.

You are welcome to visit our website at www.rdtpsg.com

RD Trusted Partners Pte Ltd| EA License No.: 24C2352

Devon Yang Yue Teng | EA Personnel No.: R24123723

Working hours: 3 rotating shift work (3 rest day every 2 weeks)

Location: CBD area

Entitled to Performance Bonus + AWS!

Responsibilities

The Facilities Techinican ensures that facilities are safe and functional by performing preventive and corrective maintainance activities. He/She conducts technical troubleshoooting for mechanical and electrical issues in compliance with the quality and safety standards, regulations and organizational Workplace safety and Health (WSH) practices.

• Perform daily operational activities which includes attending to customer's enquiries, needs and complaints.
• Perform preventive and breakdown techinical support and maintenance for mechanical/electrical services, plumbing & sanitary services, Aircon servicing and maintenance, ACMV systems, chillers and electrical control

Requirements

• Candidates with 2 years or more related experience in Facilities Management will be an added advantage.
• No experience is welcome to apply (on job Training)
• Positive attitude, good interpersonal and customer-centric skills

Please submit your updated resume by using the APPLY NOW BUTTON

By submitting your personal data and/or resume to us in connection with your job application, you will be deemed to have agreed and consented to us in collecting, using, retaining, and disclosing your personal data and/or resume to prospective employers for the purpose of the evaluating, processing and administration by company relating to this job application.

We regret to inform that only shortlisted candidates would be notified

We wish you all the best in your career search.

You are welcome to visit our website at www.rdtpsg.com

RD Trusted Partners Pte Ltd| EA License No.: 24C2352

Devon Yang Yue Teng | EA Personnel No.: R24123723

After School Student Care Teacher (Math & Science subjects)

Basic Salary: $3000-$3500
Working Hours: 44hrs/week
Working Location: Farrer Park

Job Responsibilities:

• Implement the program for the class in accordance with the policies, guidelines, framework and philosophy of the centre.
• Guide primary school children (primary 1 to 6) to ensure completion of daily homework
• Keep accurate records of children’s progress and address each child’s educational and developmental needs on an individual basis to the best of your ability.
• Responsible for the preparation and upkeep of teaching resources, arrangement, appearance and learning environment of the classroom.
• Maintain and build relationships with children and parents.
• Conduct franchise unique enrichment programmes.
• Being an inspiring role model with a creative spirit and a champion (positive) mindset.
• Ensure safety and timely transfer of students from school to student centre
• Ensure safety of children within the premises
• Any other ad-hoc duties as delegated by Centre Director

Job Requirements

• Diploma or higher in Math or Science.
• Minimum of 2 years of teaching experience with primary school students.
• Able to teach primary school subjects (Preferably Both Math & Science)

The Supreme HR Advisory Pte Ltd || 14C7279

R22111009 Cheng Kai Ling

Want To Be A PSLE Specialist Rockstar?

We’re looking for a PSLE English, Math and Science Specialist (Permanent Part-Timer) to be well paid based on your value and contributions, rather than your certifications.

An Intro To Our Company

ISUN was established in 2007 with the goal of igniting the sun in every student. Our founders, WaiSun and Lisu, wanted to bring brightness and positivity into the classroom to help their ISUN warriors unleash their full potential without compromising on time to unwind, and spend time with loved ones.

With a student-first approach, we want to put an end to the days of pupils dreading class and taking home mountains of worksheets. Our mission of ‘putting the smile back into learning’ is what inspired our founders to start the ‘Academic Coaching Programme’.

Through this programme, our dedicated coaches equip students with answering techniques and secret scoring sheets (S3) to approach examinations more effectively.

Similarly, our PSLE Power Revision Programme coaches students on methods to tackle PSLE papers and achieve academic excellence through impactful and memorable experiences. Since its inception in 2008, this programme has been raved about by parents and has prepared our students to approach their examinations with confidence.

Through imparting the joy of learning to our students, ISUN has enabled thousands of students to master their subjects with a renewed interest and rekindle a love for learning. Our coaches are driven to go the extra mile for our students; motivating them to strive for excellence and continue to push the boundaries of their learning. ISUN ensures that your child is prepared – not just for exams, but also for the future.

To date, we have more than 90% happy students and parents who attain transformation or AL3 & above or changing their entire life. Even during the challenging COVID period with lessons going online, we’ve kept 100% of our students onboard.

And we’re looking for our next high performer to join us.

You can see what a small fraction of our ISUN parents and students say about us:

https://www.facebook.com/media/set/?set=a.643722659069523&type=3

HOW LIFE IS GONNA LOOK LIKE FOR YOU

Although you'll be only working with us on a part time basis, you are invited and will be connected to the ISUN team in our social events such as company lunch and celebrations (CNY dinner, coaches day dinner, post PSLE celebrations, Christmas parties & more!) .

You’ll learn and connect with our Academic Coaches who have a proven track record with at least 10 years of teaching experiences. If you become that great in what you do, you can have growth in your students referral which means growth in your income!

You’re not going to be a follower in our team, we will constantly contribute and execute ideas that make learning faster, easier and fun for the greatest change in results for the ISUN students.

You can expect yourself to go further into coaching rather than just being an academic specialist in years to come if you are truly passionate in making a change in this industry.

A huge question that’s always asked is “what are the working hours?”. It’s just your teaching slots and 2-3 hours for preparation before classes. At the start, you have to commit your time for the training so that you can transform students easily with a snap of a finger!

So if you want to join a team that doesn't treat you like "just-another-staff", instead, if you want to be treated like a precious member of a small team - you'd be a good fit for us.

WHY YOU SHOULD JOIN US

The work we do here at ISUN Education is much bigger and beyond us.

We support the growth process of many students beyond just academics.

While tons of businesses focus on profits, we focus on making a huge impact that doesn’t just help us profit.

That means by truly having the purpose to help the students to transform their academic results and their lives.

Essentially, the work that you do has a large ripple effect.

If you want to join an education center that serves beyond themselves - you'd be a good fit with us.

HOW TO KNOW YOU’RE THE RIGHT FIT

✅ Someone who is warm, bright and positive.

✅ Someone who will propose ideas, not follow instructions blindly, and has no initiative to do things better.

✅ Relentless hunger to do whatever it takes and learn. You don’t just want to be good, you want to be great.

✅ Minimum an undergraduate. A degree is not needed, you’re paid based on attitude, skills, and results.

✅ Lead by example. You do not make any excuses. Be responsible and give your 101% in each class!

✅ Currently a tutor (be it home tutor or a tutor at a center)

✅ Be open to feedback to learn and grow

MUST HAVE REQUIREMENTS

3 EXTREMELY IMPORTANT THINGS:

1.Must be passionate to teach and produce quality answer keys and engaging content.

2.Must be performance driven. You may or may not be the very best now, but you know you want to be the best in this education industry!

3.Must have a purpose in education. You want to transform lives through the academics platform.

I’M IN! HOW DO I BEGIN?

If you’ve reached this far and you’re still passionate about becoming our new team member and be the future PSLE Superstar…

TAKE THIS SIMPLE TEST BEFORE YOU APPLY

Before you apply, take this simple 4 step test to find if this role is suitable for you or not.

1) Check out the work we do on our Social Media Profiles

https://www.facebook.com

https://www.youtube.com/@isuneducation

If you don’t believe or don’t have the heart to transform students' lives - don’t apply.

2) Ask yourself, “Do I see myself exploring and working with this team for at least the next 2-3 years and become a PSLE superstar?” If the answer is no, don’t apply.

3) Ask yourself, “Do I believe I’m great at what I do and do it much better than most people?” If the answer is no, don’t apply.

4) Ask yourself, “Do I see myself giving it all to the students; and sometimes extra hours not because I have to, but because I've lost track of time?” If the answer is no, don’t apply.

IF YOU DECIDE THAT YOU’VE PASSED THE 4 STEP TEST ABOVE

Send your resume to [email protected]

Lisu

ISUN Education

Giving an education that inspires the Greatness in everyone

Job Overview

At BlueTree Education, we're not just a place of learning; we’re a vibrant, close-knit family where every day is an opportunity to make a difference and have fun doing it.

We offer a competitive remuneration package, a profit-sharing scheme that rewards your hard work, and we're open to fresh faces eager to start their teaching career! We provide the training and support you need to shine. And if you're looking for part-time opportunities, we’ve got you covered.

We believe in creating an environment where our teachers and students thrive, laugh, and grow together. If you're looking for a role where your expertise is celebrated, your creativity is unleashed, and your work-life balance is respected, then look no further!

Job Highlights

• Part Time Opportunities Available
• 3.5 to 4 day Work Week Arrangement
• Open to Fresh Graduates
• Junior - Senior Level Positions Available
• Competitive Remuneration Package
• Profit Sharing Scheme
• Supportive Culture
• Work-Life Balance (With only one weekend required!)
• Opportunities for Growth

Responsibilities

What You Will Do

• Open to Different Experience Levels: Whether you are a seasoned educator or just starting your teaching journey, we value your unique perspective and energy.
• Teaching Experience (Advantageous): Prior experience in teaching, whether through volunteering, peer teaching, or professional roles, is highly regarded.
• Passion for Teaching: A genuine love for inspiring and educating young minds, with a dedication to making a positive impact in students' lives.
• Academic Background: Strong academic performance in relevant subjects, with O/A level Math or Science qualifications being an added advantage.
• Positive Attitude: A can-do, positive mindset that fosters a welcoming and encouraging classroom environment.
• Team Player: Strong collaborative skills, with the ability to work effectively with colleagues, parents, and the school community to support student success.
• Content Knowledge:

1. For Senior Teachers: Extensive knowledge and expertise in the relevant subject area, with the ability to teach complex concepts and mentor junior teachers.
2. For Junior Teachers: Sufficient understanding of the subject matter, with a willingness to learn and grow under the guidance of senior staff.

• Willingness to Travel: Flexibility and readiness to teach at two different branches, ensuring consistent quality of education across locations.

Qualifications

What Makes You Shine?

• Passion for Teaching: You’re enthusiastic about Maths or Science (Physics & Chemistry) and love working with young learners.
• Positive Attitude: You bring energy, creativity, and a can-do spirit to the classroom.
• Team Player: You thrive in a collaborative environment and are ready to contribute to our family-like culture.
• Experience Counts: Whether you’ve volunteered, peer-taught, or professionally taught before, your experience is a valuable asset.
• Maths or Science Scholar: If you’ve excelled in O/A level Maths or Science (Physics & Chemistry) subjects, that’s a big plus!
• Willingness to Travel: You’re willing and ready to travel between our two branches, embracing the variety and opportunity this brings.

Working Hours

• Weekdays: 10.30 am - 7.00 pm or 1.00 pm - 9.30 pm
• Weekends: 8.30 am - 5.30 pm or 9.00 am - 6.00 pm

Locations

• Sengkang & Tampines

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

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

We regret that only shortlisted candidates will be notified.

Job Description

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

1) Faculty Co-ordinator for timetabling

• Keep abreast of Science Faculty Curriculum Committee (SFCC)/Board of Undergraduate Studies (BUS)/University Committee on Educational Policy (UCEP)/Senate approved proposals to facilitate planning and scheduling of classes and examinations.
• Coordinate with departments for planning of following academic year's timetable in the Class and Examination Timetabling System (CMIS).
• Update class and examinations timetable changes as and when required.
• Work with departments to verify accuracy of data and resolve any issues for the purpose of Student Feedback Exercise.

2) Pre-examination preparation and during examination support

• Plan and coordinate examination activities for each Academic Year according to the timelines and deadlines stipulated by Registrar's Office.
• Coordinate system updates for examinations related information and ensure data is appropriately entered.
• Act as liaison between Registrar's Office and departments to ensure that all necessary information are disseminated and shared with all parties involved.
• See to the examinations logistical requirements as well as arrangements for students with special needs.

3) Post-examination activities

• Coordinate and work closely with departments to complete the necessary checks and comply with the examinations processing schedule stipulated by Registrar's Office.
• Perform the duties of Faculty's Board of Examiners Secretariat and ensure that decisions made are updated accurately and quickly in Edurec and followed through.
• Plan, conduct and prepare report for examinations audit.

4) Undergraduate Studies Section duties

• To be rostered for section duties such as taking notes of regular section meetings, replying to email enquiries from students, and counter duties.

5) Others

• Provide assistance at University/Faculty level events such as Open House, Freshmen Orientation Briefing, and Commencement.
• Any other duties as assigned by the Vice Dean.

Qualifications/Requirements/Other Info

• Degree holder with positive learning attitude.
• Experience in timetabling and scheduling will be advantageous.
• Proficient in Microsoft applications.
• Ability to work under pressure and multi-task in a fast-paced environment with multiple timelines and demands.
• Ability to exercise tact and discretion in handling sensitive and confidential information.
• Possess effective oral and written communication skills.
• Mature, independent, adaptive and meticulous.
• A team player with the ability to interact well with all levels of stakeholders.

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

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

Established in 2010, the Energy Research Institute @ NTU (ERI@N) is a pan-university research institute that focuses on systems-level research for tropical megacities. It performs translational research that covers the energy value chain from generation to innovative end-use solutions, motivated by industrialisation and deployment. ERI@N has multiple Interdisciplinary Research Programmes which focus on translational Research, Development & Deployment which focus on specific area of the energy value chain, and a number of Living labs and Testbeds which facilitate large scale technology deployment enabling validation and demonstration of real-world applications.

For more details, please view https://www.ntu.edu.sg/erian

We are looking for experienced individuals with a strong background in computational modelling, thermal energy systems, and machine learning. The hired researchers will join an interdisciplinary team to develop innovative integrations of advanced computational techniques and thermal energy storage solutions, focusing on discovering novel materials and optimizing energy systems through machine learning. Promising solutions developed will be experimentally validated, demonstrated and potentially commercialised at ERI@N.

Key Responsibilities:

• Work closely with colleagues to ensure the requirements of the research project are met
• Conduct computational fluid dynamics (CFD), molecular dynamics (MD), and/or density function theory (DFT) studies for energy material development
• Use artificial intelligence (AI) techniques for material discovery and/or device design
• Use 3D printing techniques to fabricate phase change materials (PCM) composites
• Assist in experimental works or other required works by the PI
• Use data science techniques to process experimental results
• Write scientific papers/technology/reports and other work-related documents
• Develop machine learning algorithms for material discovery and novel heat exchanger design to seamlessly integrate PCMs into thermal systems.
• Fabricate PCM composites with optimized geometries through 3D printing technologies.

Job Requirements:

• Master's degree in Material Science, Chemistry, Mechanical Engineering, Chemical Engineering, Mathematics, or equivalent disciplines from a prestigious university
• At least 1 year of research experience with python, Matlab, or C++
• Experience in CFD/DFT/MD is preferable
• Experience in machine learning is preferable
• Experience in thermal energy storage, hydrogen, and energy systems is preferable

We regret that only shortlisted candidates will be notified.

NTi Technology is a subsidiary of NTi Memtech Pte Ltd. We are a technology company specializing in membrane material research and development, membrane product manufacturing, membrane technology applications and services. NTi has its own fully equipped membrane R&D center and manufacturing base in Singapore to produce high-performance hollow fiber membranes.

Currently, we are looking for engineering, science, business and manufacturing interns with interests in membrane marketing, research, product development, and production.

We Offer:

• Hands-on experience in a full-scale membrane manufacturing facility, from research to production to delivery.
• Mentorship and training from experienced professionals in the field.
• Exposure to industry-standard practices and technologies.
• A supportive and collaborative work environment.

1. Membrane Research Intern:

Responsibilities and duties:

• Support and assist in QC inspections for daily membrane production (lab works).
• Maintain quality-related documentations (soft & hard copy) including SOPs, check lists, reports, etc.
• Support and assist in the testing for new membrane products.
• Assist in the Maintenance and calibration of lab equipment.
• Other related duties assigned.

Requirements:

• Familiar with handling chemicals.
• Strong hands-on capability and independent in performing experiments such as i) general chemical experiments; ii) how to use basic lab equipment like weighing balance, pH meter, pipette and etc; iii) laboratory safety practice. For any other equipment like FTIR, UV-Vis and TOC , they will be trained before they can operate.
• Good understanding of safe lab practice.
• Good written and spoken communication skills. Ability to communicate with equipment and material suppliers/ manufacturers based in China would be advantageous.
• Good team player, self-driven and meticulous.
• Year 3/ Year 4 students are preferred.

SCRIPTS specialises in privacy-preserving technologies (PP-Tech) that are computing techniques used to preserve individual’s privacy while allowing maximum value and insight to be extracted from available data.

Our centre is seeking to hire a Research Fellow to be involved in research and development for the IoT hardware platform and new framework and optimization algorithm for satellite IoT systems.

Key Responsibilities

• Participate in academic activities and system design
• Prepare report and publish high-level academic papers
• Collaborate with other team members to be involved in satellite IoT testing

Job Requirements

• PhD degree in engineering or science
• Have experience in publishing high-level academic papers
• Good skills in hardware design and C/C++ programming
• Knowledge in machine learning or IoT will be an advantage
• Ability to work independently and contribute to the whole team
• Excellent verbal and written communications skills

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

SCRIPTS specialises in privacy-preserving technologies (PP-Tech) that are computing techniques used to preserve individual’s privacy while allowing maximum value and insight to be extracted from available data.

Our centre is seeking to hire a Research Associate to build the IoT hardware platform and design new framework and optimization algorithm for satellite IoT systems.

Key Responsibilities

• Design and develop hardware systems for IoT.
• Participate academic activities
• Assist in on-site experiments and data acquisition in application environment.
• Develop algorithms for spectrum optimization, blockchain and edge computing.
• Publish high-level academic papers
• Collaborate with other team members to build satellite IoT testing systems and draft research report.

Job Requirements

• Master or PhD degree in engineering or science
• Have experience in publishing high-level academic papers
• Good skills in hardware design and C/C++ programming
• Knowledge in machine learning or IoT will be an advantage
• Ability to work independently and contribute to the whole team
• Excellent verbal and written communications skills

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

Research and development (R&D) managers qualifications, including:

• Education: A bachelor's or master's degree in a relevant field, science or technology
• Experience: two years of experience in R&D roles
• Communication: The ability to communicate with various departments across the business
• Leadership: The ability to lead a staff
• Technical expertise: The ability to document and interpret complex requirements
• Innovation: The ability to develop new products, improve existing processes
• Business sense: An understanding of both business and science

R&D managers are responsible for planning and executing strategies to foster new ideas and advancements. A compelling CV for this role should demonstrate a balance of creativity, strategic thinking, and leadership skills

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.

For more details, please view https://www.ntu.edu.sg/mse/research.

We are seeking a highly motivated and innovative postdoctoral researcher to join our dynamic team at the School of Materials Science and Engineering, Nanyang Technological University, Singapore. The successful candidate will contribute to cutting-edge research at the intersection of 3D printing, optics, sensor, with a focus on materials for optical waveguides and other optical devices.

Key Responsibilities:

• Conduct independent research related to optical waveguide materials and engineering.
• Optimize formulations for UV 3D printing and direct ink writing 3D printing.
• Contribute to ongoing research projects in optics and photonics.
• Design and prototype using CAD software and 3D printing technologies.
• Collaborate with faculty and researchers on interdisciplinary projects.
• Publish research findings in peer-reviewed journals and present at international conferences.
• Assist in mentoring graduate and undergraduate students.

Job Requirements:

• Ph.D. in Material Science, Chemistry, Sensors, or a related field.
• Strong background in formulation for 3D printing.
• Experience with optimization of ink formulation for 3D printing.
• Demonstrated expertise in optics research.
• Proficiency in CAD software and 3D printing technologies.

Desired Skills:

• Proficiency in programming languages such as Python, C++, or MATLAB.
• Experience with machine learning and AI applications in engineering.
• Excellent written and verbal communication skills.
• Ability to work both independently and collaboratively within a team.

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

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.

For more details, please view https://www.ntu.edu.sg/mse/research.

We are looking for a Research Fellow to drive innovation in soft and stretchable electronic systems by addressing critical challenges in interconnect design, enabling their extensive deployment in advanced applications. The role involves leveraging expertise in flexible electronics, modular soft robotics, and artificial neuron systems to develop intelligent, adaptive technologies that integrate sensing, data processing, and actuation capabilities. The aim is to contribute to the creation of robust, scalable solutions that advance the field of soft interconnects and intelligent devices.

Key Responsibilities:

• Conduct research collaboratively with team members to ensure the timely completion of project deliverables.
• Design, develop, and fabricate soft interconnects for stretchable electronic devices, enabling their integration into functional systems such as wearable and robotic platforms.
• Collaborate with internal and external stakeholders to advance the deployment of next-generation flexible and stretchable electronic systems.
• Assist in grant writing.
• Maintenance of lab or equipment or supplies that include procurement and liaison with suppliers.
• Assist or produce high quality reports and documents that consolidate research findings
• Publish research findings in high-impact journals and present at international conferences.
• Contribute to the mentoring and guidance of junior researchers and students, fostering an environment of learning and innovation within the project team.

Job Requirements:

• PhD degree in mechanical engineering, mechatronics engineering, or related field.
• At least 4 years of relevant experiences in soft robotics
• Expertise in soft robots, actuators, mechanical sensors, strain sensors, flexible electronics.
• Proficiency in mechanical testing, electrical testing, materials characterization, system integration
• Good written and oral communication skills
• Capable of design and assemble of device prototypes.
• Candidates with publications in top-tier scientific journals are preferred.

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

This position focuses on the deep learning inspired understanding of the responses of slopes to extreme draught-heavy rainfall climate. The selected Research Fellow is required to:

• Investigate the coupled multi-phase responses of slopes.
• Unveil the responses of slopes under periodic extreme drought-heavy rainfall.

Job Requirements

• Possess a PhD degree with related job experience.
• Having physical modelling experience.
• Good at coupled multi-physics modelling.
• Good written and spoken communication and able to present results.
• Open to fixed-term contract.