12 Social Studies Teacher jobs in Singapore

English Language Teacher (Primary & Secondary Education)

• Salary: Up to $4500
• Working hours: 44 Hours a week (3 Weekdays 2.00pm-9.00pm & 2 Weekends 10.00am-7.00pm)
• Location: Jurong Point

Job Scope:

• Teaching students English language subject according to the MOE syllabus and curriculum
• Guiding and motivating students to succeed in their academics
• Curriculum development when necessary
• Monitoring of student work
• Following up with and updating parents on their child’s progress

Requirement:

• Relevant experience

CHUAH ZHI XING | Reg No: R

THE SUPREME HR ADVISORY PTE LTD | EA No: 14C7279

English Language Teacher (Primary & Secondary Education)

• Salary: Up to $4500
• Working hours: 44 Hours a week (3 Weekdays 2.00pm-9.00pm & 2 Weekends 10.00am-7.00pm)
• Location: Jurong Point

Job Scope:

• Teaching students English language subject according to the MOE syllabus and curriculum
• Guiding and motivating students to succeed in their academics
• Curriculum development when necessary
• Monitoring of student work
• Following up with and updating parents on their child’s progress

Requirement:

• Relevant experience

CHUAH ZHI XING | Reg No: R

THE SUPREME HR ADVISORY PTE LTD | EA No: 14C7279

English Language Teacher (Primary & Secondary Education)

• Salary: Up to $4500
• Working hours: 44 Hours a week (3 Weekdays 2.00pm-9.00pm & 2 Weekends 10.00am-7.00pm)
• Location: Jurong Point

Job Scope:

• Teaching students English language subject according to the MOE syllabus and curriculum
• Guiding and motivating students to succeed in their academics
• Curriculum development when necessary
• Monitoring of student work
• Following up with and updating parents on their child’s progress

Requirement:

• Relevant experience

CHUAH ZHI XING | Reg No: R

THE SUPREME HR ADVISORY PTE LTD | EA No: 14C7279

• Able to commit 4 days work 1 day off, 3 days work 1 day off schedule.
• 12 hours permanent shift
• Location: islandwide
• Salary Package: $2,870 to $,600 (Depends on experience)
  Completion Bonus : 2500 (untrained) 4500 (trained)

Job Description:

• Incident Response, Manage Security & Safety Systems
• Prevent unauthorised entry into the premises
• Monitor CCTV
• Patrolling and clocking
• Access control duties

Requirements:

• Secondary education

WhatsApp: (Shermaine)

Siah Sze Ming Reg No: R

The Supreme HR Advisory Pte Ltd EA No: 14C7279

Research Fellow (Humanities and Social Studies Education Department)(NIE)
Join to apply for the
Research Fellow (Humanities and Social Studies Education Department)(NIE)
role at
Nanyang Technological University Singapore
The National Institute of Education invites suitable applications for the position of Research Fellow on a 12-month contract at the Humanities and Social Studies Education Department.
Project Title: Projecting Urban Heatwaves and Building Resilience in Singapore and Southeast Asia
(NEA 13/24 WJY)
Project Introduction
This research aims to enhance food security in Southeast Asia (SEA) by fostering a comprehensive understanding and providing evidence for decision-making support regarding the impact of climate-driven natural hazards on local agricultural productivity.
The study begins with the construction of a detailed historical reanalysis dataset, capturing intricate details of major natural hazards such as floods, heatwaves, and wildfires in Southeast Asia. This dataset serves as a foundational resource, providing valuable insights into the historical occurrences and patterns of these hazards in the region. It supports evidence-based decision-making by identifying vulnerability hotspots, assessing agricultural impacts, and guiding policies to enhance regional resilience to climate-driven natural hazards.
Subsequent efforts focus on employing a physics-informed machine-learning model, tailored to accurately quantify the impact of various natural hazards on local food production. By utilizing historical data and advanced modelling techniques, this facet of the research aims to furnish nuanced insights into the specific risks each hazard poses to crop yields (with a focus on rice and vegetables) in different regions.
The research further introduces an innovative pseudo-global warming (PGW) modelling framework, anticipating the future manifestation of historical natural hazards under varying climate change scenarios. The subsequent quantification of these hazards' impact on local food production, utilizing the established machine-learning model, positions the research as a forward-looking effort with substantial potential for aiding in the development of strategies and policies that enhance climate resilience in Southeast Asia's agriculture. By combining historical analysis, machine learning, and innovative modelling, this research seeks to provide stakeholders with essential knowledge for proactive decision-making amid the challenges posed by natural hazards and climate change.
While the project will help Singapore identify new regional agricultural vulnerabilities and pivot between supply sources and ensure a more resilient and diversified food supply, influencing other governments to prepare for those vulnerabilities can be challenging for Singapore as a foreign entity. However, the involvement of regional actors—such as research institutions, agricultural organizations, and insurance companies—may play a key role in influencing their respective governments' agricultural practices.
Requirements
Ph.D. in Remote Sensing, Agricultural Science, Computer Science, Atmospheric Science or a related field.
Proven experience in high-resolution model development, implementation and application.
Strong experience with physical-based and machine learning methods in atmospheric science.
Proficiency in Linux-based high-performance computing systems, GPU-based programming and prevailing AI tools.
Experience in urban climate studies, specifically the urban boundary layer, heat island effects, air pollution, and building energy consumption.
Strong programming skills in languages such as Python, R, IDL or MATLAB.
Excellent analytical and problem-solving skills.
Strong written and verbal communication skills.
Ability to work independently and as part of a team.
Responsibilities
Develop a high-resolution, remote sensing–based agricultural inventory for Southeast Asia, capturing both spatial and temporal variability.
Establish an observational data archive that integrates major types of weather and climate extremes affecting agricultural yields.
Analyze model output, perform statistical analysis and provide interpretation and recommendations.
Collaborate with cross-functional government agencies and research teams to collect and analyze atmospheric and climatological data.
Provide scientific input and support to other ongoing projects.
Publish scientific papers and present at relevant conferences.
Any other administrative duties as assigned by Principal Investigators.
Application
Applicants (external and internal) will apply via Workday. We regret that only shortlisted candidates will be notified.
Closing Date
Closing date for advertisements will be set to 14 calendar days from date of posting.
Hiring Institution: NIE
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Research Fellow (Humanities and Social Studies Education Department)(NIE) page is loaded# Research Fellow (Humanities and Social Studies Education Department)(NIE)locations:
NTU Main Campus, Singaporetime type:
Full timeposted on:
Posted Todaytime left to apply:
End Date: October 27, 2025 (12 days left to apply)job requisition id:
R The National Institute of Education invites suitable applications for the position of Research Fellow on a 12-month contract at the**Project Title: Projecting Urban Heatwaves and Building Resilience in Singapore and Southeast Asia** (NEA 13/24 WJY)**Project Introduction:**This research aims to enhance food security in Southeast Asia (SEA) by fostering a comprehensive understanding and providing evidence for decision-making support regarding the impact of climate-driven natural hazards on local agricultural productivity.The study begins with the construction of a detailed historical reanalysis dataset, capturing intricate details of major natural hazards such as floods, heatwaves, and wildfires in Southeast Asia. This dataset serves as a foundational resource, providing valuable insights into the historical occurrences and patterns of these hazards in the region. It supports evidence-based decision-making by identifying vulnerability hotspots, assessing agricultural impacts, and guiding policies to enhance regional resilience to climate-driven natural hazards.Subsequent efforts focus on employing a physics-informed machine-learning model, tailored to accurately quantify the impact of various natural hazards on local food production. By utilizing historical data and advanced modelling techniques, this facet of the research aims to furnish nuanced insights into the specific risks each hazard poses to crop yields (with a focus on rice and vegetables) in different regions.The research further introduces an innovative pseudo-global warming (PGW) modelling framework, anticipating the future manifestation of historical natural hazards under varying climate change scenarios. The subsequent quantification of these hazards' impact on local food production, utilizing the established machine-learning model, positions the research as a forward-looking effort with substantial potential for aiding in the development of strategies and policies that enhance climate resilience in Southeast Asia's agriculture. By combining historical analysis, machine learning, and innovative modelling, this research seeks to provide stakeholders with essential knowledge for proactive decision-making amid the challenges posed by natural hazards and climate change.While the project will help Singapore identify new regional agricultural vulnerabilities and pivot between supply sources and ensure a more resilient and diversified food supply, influencing other governments to prepare for those vulnerabilities can be challenging for Singapore as a foreign entity. However, the involvement of regional actors—such as research institutions, agricultural organizations, and insurance companies—may play a key role in influencing their respective governments' agricultural practices.**Requirements:*** Ph.D. in Remote Sensing, Agricultural Science, Computer Science, Atmospheric Science or a related field.* Proven experience in high-resolution model development, implementation and application.* Strong experience with physical-based and machine learning methods in atmospheric science.* Proficiency in Linux-based high-performance computing systems, GPU-based programming and prevailing AI tools.* Experience in urban climate studies, specifically the urban boundary layer, heat island effects, air pollution, and building energy consumption.* Strong programming skills in languages such as Python, R, IDL or MATLAB.* Excellent analytical and problem-solving skills.* Strong written and verbal communication skills.* Ability to work independently and as part of a team.**Responsibilities:*** Develop a high-resolution, remote sensing–based agricultural inventory for Southeast Asia, capturing both spatial and temporal variability.* Establish an observational data archive that integrates major types of weather and climate extremes affecting agricultural yields.* Analyze model output, perform statistical analysis and provide interpretation and recommendations.* Collaborate with cross-functional government agencies and research teams to collect and analyze atmospheric and climatological data.* Provide scientific input and support to other ongoing projects.* Publish scientific papers and present at relevant conferences.* Any other administrative duties as assigned by Principal Investigators**Application**Applicants (external and internal) will apply via Workday. We regret that only shortlisted candidates will be notified.**Closing Date**Closing date for advertisements will be set to 14 calendar days from date of posting.Hiring Institution: NIENTU is also home to world-class autonomous institutes – the National Institute of Education, S Rajaratnam School of International Studies, Earth Observatory of Singapore, and Singapore Centre for Environmental Life Sciences Engineering – and various leading research centres such as the Nanyang Environment & Water Research Institute (NEWRI) and Energy Research Institute @ NTU ( ).Ranked amongst the world’s top universities by QS, NTU has also been named the world’s top young university for the past seven years. The University’s main campus is frequently listed among the Top 15 most beautiful university campuses in the world and has 57 Green Mark-certified (equivalent to LEED-certified) buildings, of which 95% are certified Green Mark Platinum. Apart from its main campus, NTU also has a campus in Novena, Singapore’s healthcare district.Under the NTU Smart Campus vision, the University harnesses the power of digital technology and tech-enabled solutions to support better learning and living experiences, the discovery of new knowledge, and the sustainability of resources.For more information, visit
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Special Education Teacher (Secondary), SSD - SAIS
As a leading international school in Singapore, Stamford American International School (Stamford American) caters to students aged 2 months to 18 years old. With students from 79 countries and over 3000 students across two state-of-the-art campuses, we offer a dynamic educational journey emphasizing student well-being and academic excellence.
Stamford American is proud to be an IB World School, offering the full continuum of the International Baccalaureate (IB) programmes: the IB Primary Years Programme (PYP), IB Middle Years Programme (MYP), and IB Diploma Programme (DP). The school’s outstanding faculty comprising more than 350 experienced and highly qualified teachers from over 40 nationalities, through a competitive recruitment process. Educators are highly skilled in their content areas and pedagogy, but equally important, they excel at building strong relationships and creating an environment where students feel safe, supported, and valued.
The school now has an exciting opportunity for a Special Education Teacher (Secondary) to join our Student Support Department team.
About the Role:
The Student Support Department (SSD) is looking for a highly qualified Special Education Teacher with previous experience in delivering individualized intervention to join our team of multidisciplinary professionals. Utilizing a MTSS (Multi-Tiered System of Support) Model, the primary role of the Special Education Teacher is to provide Tier 3/intensive intervention directly to students as well as design individualized education for students that require increased support, curricular modification, and explicit instruction.
Position Requirements:
Minimum of 3 years of experience working within special education with relevant qualifications
Exceptional interpersonal communication and professional collaboration skills
Must demonstrate flexibility, strong work habits, and a positive attitude
Strong organizational skills and excellent command of the English language
Proficiency in using computers and other forms of technology
Strong references and attendance record
Demonstrates the Stamford Values – Courage, Ingenuity, Compassion, Integrity
Qualifications :
Required:
Current Special Education Teaching Certification from an accredited educational institution or equivalent certification
Minimum 3 years’ experience working within a special education department
Previous experience and/or training using recognized screening and progress monitoring assessments
Preferred :
Knowledge and experience delivering Tier 3 support services within an MTSS Model Training and/or previous experience with using recognised Tier 3 intervention programs and assessments
Proficiency in Mandarin preferred to communicate with mandarin speaking students and parents
Please click here for the full job description.
With a commitment to safeguarding and promoting the welfare of children and young people, all potential employees undergo mandatory pre-employment background checks, and appointments are contingent upon satisfactory completion of all reference and background checks, as required by our parent organization, Cognita
The school is an equal opportunity employer, committed to fostering a diverse and inclusive workplace where everyone is respected and valued. There is no discrimination on the basis of age, ethnicity, nationality, gender, religion, sexual orientation, family status, pregnancy, marital status, medical or mental health history, physical characteristics, or disability. All applications from qualified candidates are welcome.
Kindly note that only shortlisted candidates will be contacted for further steps in the recruitment process.
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Special Education Teacher (Secondary), SSD - SAIS
Join to apply for the Special Education Teacher (Secondary), SSD - SAIS role at Cognita Schools.
As a leading international school in Singapore, Stamford American International School (Stamford American) caters to students aged 2 months to 18 years old. With students from 79 countries and over 3000 students across two campuses, we offer a dynamic educational journey emphasizing student well-being and academic excellence. Stamford American is proud to be an IB World School, offering the full continuum of the International Baccalaureate (IB) programmes: the IB Primary Years Programme (PYP), IB Middle Years Programme (MYP), and IB Diploma Programme (DP). The school’s faculty comprises more than 350 experienced and highly qualified teachers from over 40 nationalities, focused on relationships and creating an environment where students feel safe, supported, and valued.
The school now has an exciting opportunity for a Special Education Teacher (Secondary) to join our Student Support Department team.
About the Role
The Student Support Department (SSD) is looking for a highly qualified Special Education Teacher with previous experience in delivering individualized intervention to join our team of multidisciplinary professionals. Utilizing a MTSS (Multi-Tiered System of Support) Model, the primary role of the Special Education Teacher is to provide Tier 3/intensive intervention directly to students as well as design individualized education for students that require increased support, curricular modification, and explicit instruction.
Position Requirements
Minimum of 3 years of experience working within special education with relevant qualifications
Exceptional interpersonal communication and professional collaboration skills
Must demonstrate flexibility, strong work habits, and a positive attitude
Strong organizational skills and excellent command of the English language
Proficiency in using computers and other forms of technology
Strong references and attendance record
Demonstrates the Stamford Values – Courage, Ingenuity, Compassion, Integrity
Qualifications
Required:
Minimum Bachelor’s degree in education or equivalent
Professional current teacher licensure or certification
Minimum 3 years’ experience working with students requiring special education services
Previous experience and/or training using recognized screening and progress monitoring assessments
Preferred :
Knowledge and experience delivering Tier 3 support services within an MTSS Model; Training and/or experience with Tier 3 intervention programs and assessments
Proficiency in Mandarin preferred to communicate with Mandarin-speaking students and parents
Job Description
Please click here for the full job description.
With a commitment to safeguarding and promoting the welfare of children and young people, all potential employees undergo mandatory pre-employment background checks, and appointments are contingent upon satisfactory completion of all reference and background checks, as required by Cognita.
The school is an equal opportunity employer, committed to fostering a diverse and inclusive workplace where everyone is respected and valued. There is no discrimination on the basis of age, ethnicity, nationality, gender, religion, sexual orientation, family status, pregnancy, marital status, medical or mental health history, physical characteristics, or disability. All applications from qualified candidates are welcome.
Kindly note that only shortlisted candidates will be contacted for further steps in the recruitment process.
Seniority level
Mid-Senior level
Employment type
Full-time
Job function
Education and Training
Industries
Education Management
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Overview
Relief Special Education Teacher (Secondary), SSD - SAIS is a role within Stamford American International School (Stamford American) in Singapore. The school serves students aged 2 months to 18 years from 79 countries across two campuses and offers IB programmes (PYP, MYP, DP) with a focus on student well-being and academic excellence.
The School Support Department (SSD) seeks a highly qualified Special Education Teacher to deliver individualized intervention and design education for students requiring increased support, curricular modification, and explicit instruction, using a MTSS (Multi-Tiered System of Support) model. This position involves providing Tier 3/intensive intervention and collaborating with multidisciplinary professionals.
Responsibilities
Provide Tier 3/intensive intervention directly to students.
Design individualized education plans for students requiring increased support, curricular modification, and explicit instruction.
Collaborate within the Student Support Department and with multidisciplinary professionals to support student needs.
Qualifications
Minimum of 3 years of experience in special education with relevant qualifications.
Bachelor’s degree in education or equivalent; professional current teacher licensure or certification.
Minimum 3 years’ experience working with students requiring special education services; strong English language skills; proficiency with computers and technology.
Excellent interpersonal communication, collaboration, organization, and a positive attitude; strong references and attendance record.
Preferred
Knowledge and experience delivering Tier 3 support services within an MTSS model; training and/or experience with Tier 3 intervention programs and assessments.
Mandarin proficiency preferred to communicate with Mandarin-speaking students and parents.
Additional Information
Click for the full job description. The school is committed to safeguarding and promoting the welfare of children and young people; background checks are required. The school is an equal opportunity employer with no discrimination based on age, ethnicity, nationality, gender, religion, sexual orientation, family status, pregnancy, marital status, medical or mental health history, disability, or other legally protected characteristics. Only shortlisted candidates will be contacted for further steps in the recruitment process.
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