15 Geomatics jobs in Singapore

We are seeking a Geomatics Specialist to join our team. The role requires a unique blend of technical expertise, AI/ML technologies, geospatial data and product management skills.

You will contribute towards improved data processing, geoAI roadmap, uplifting internal AI capabilities and engaging with sectoral partners.

A background in land surveying, geomatics engineering or related field is essential.

Strong passion for the latest AI developments, machine learning, deep learning and governance best practices is required.

• Machine Learning
• Management Skills
• Natural Language Processing

• 2-4 years relevant experience in Data Science and AI domains.
• Strong knowledge in Machine Learning, Deep Learning and Natural Language Processing techniques.

• Experience working with large language models and computer vision.
• Knowledge in 3D geospatial data and proficiency in Python and data visualisation tools.

Ability to work independently and in a team is necessary.

Singapore Land Authority

Fixed Terms

Closing on 14 Sep 2025

What the role is

(What the role is)

Principal Geomatics Engineer (Survey Governance)

What you will be working on

(What you will be working on)

You will work within a team that is responsible for shaping the future of utility survey and mapping practices in Singapore. Your role involves:

• Developing new utility and infrastructure survey standards and specifications that align with SLA's mandate as the National Survey and Mapping Authority.
• Working closely with the Land Surveyors Board and Infrastructure & Environment (I&E) cluster agencies to establish quality assurance frameworks for utility surveys.
• Developing the governance structures needed to support Singapore's underground utility mapping ecosystem. This includes crafting new workflows and guidelines that complement SLA's existing survey directives and circulars.

What we are looking for

• Background in Land Surveying, Geomatics Engineering, Remote Sensing, Geospatial, GIS or any equivalent qualifications

• Minimum 3 years' working experience in surveying, surveying standards development.

• Strong stakeholder management skills.

(What we are looking for)

About Singapore Land Authority

The mission of the Singapore Land Authority is to optimise land resources for the economic and social development of Singapore. It ensures the best use of State land and buildings, provides an effective and reliable land management system and enables the full use of land information for better land management.

About your application process

This job is closing on 14 Sep 2025.

If you do not hear from us within 4 weeks of the job ad closing date, we seek your understanding that it is likely that we are not moving forward with your application for this role. We thank you for your interest and would like to assure you that this does not affect your other job applications with the Public Service. We encourage you to explore and for other roles within Singapore Land Authority or the wider Public Service.

Singapore Land Authority

Fixed Terms

Closing in 4 day(s)

What the role is

Principal Geomatics Engineer (AI/ML)

What you will be working on

You will be part of a team responsible in managing various types of high quality 2D and 3D mapping data (e.g. aerial imagery, point clouds, 3D digital city models, etc.) from the National 3D Mapping Programme. You will be responsible for the delivery of AI/ML solutions from conception to deployment.

This role requires a unique blend of technical expertise, a deep understanding of AI/ML technologies, an understanding of geospatial data and their practical applications, and product management skills. Your primary role will contribute towards (a) improved data processing through AI/ML on large scale mapping datasets to propel the development of innovative AI solutions on geospatial data (b) GeoAI roadmap (c) leading initiatives to uplift internal AI capabilities, including engaging with sectoral, industry and academic partners.

What we are looking for

• Background in Land Surveying, Geomatics Engineering, Remote Sensing, Geospatial, Computer Science, Computer Engineering, Computer Vision, Information Technology, or a related field conferred by a recognised university.
• 2-4 years relevant working experience in data science and AI-related domains.
• Strong passion in the latest developments in AI technologies, methodologies, and governance best practices.
• Strong knowledge in machine learning, deep learning and Natural Language Processing techniques.
• Experience working with Large Language Models and computer vision will be an advantage.
• Knowledge in 3D geospatial data and proficiency in programming languages such as Python and data visualisation tools will be an advantage.
• Good analytical, interpersonal, communications and facilitation skills.
• Ability to work independently as well as in a team.

About Singapore Land Authority

The mission of the Singapore Land Authority is to optimise land resources for the economic and social development of Singapore. It ensures the best use of State land and buildings, provides an effective and reliable land management system and enables the full use of land information for better land management.

About your application process

This job is closing in 4 day(s).

If you do not hear from us within 4 weeks of the job ad closing date, we seek your understanding that it is likely that we are not moving forward with your application for this role. We thank you for your interest and would like to assure you that this does not affect your other job applications with the Public Service. We encourage you to explore and for other roles within Singapore Land Authority or the wider Public Service.

Singapore Land Authority

Fixed Terms

Closing on 14 Sep 2025

What the role is

(What the role is)

Geomatics Manager (Survey Governance)

What you will be working on

(What you will be working on)

You will work within a team that is responsible for shaping the future of utility survey and mapping practices in Singapore. Your role involves:

• Developing new utility and infrastructure survey standards and specifications that align with SLA's mandate as the National Survey and Mapping Authority.
• Working closely with the Land Surveyors Board and Infrastructure & Environment (I&E) cluster agencies to establish quality assurance frameworks for utility surveys.
• Developing the governance structures needed to support Singapore's underground utility mapping ecosystem. This includes crafting new workflows and guidelines that complement SLA's existing survey directives and circulars.

What we are looking for

• Background in Land Surveying, Geomatics Engineering, Remote Sensing, Geospatial, GIS or any equivalent qualifications

• Minimum 3 years' working experience in surveying, surveying standards development.

• Strong stakeholder management skills.

(What we are looking for)

About Singapore Land Authority

The mission of the Singapore Land Authority is to optimise land resources for the economic and social development of Singapore. It ensures the best use of State land and buildings, provides an effective and reliable land management system and enables the full use of land information for better land management.

About your application process

This job is closing on 14 Sep 2025.

If you do not hear from us within 4 weeks of the job ad closing date, we seek your understanding that it is likely that we are not moving forward with your application for this role. We thank you for your interest and would like to assure you that this does not affect your other job applications with the Public Service. We encourage you to explore and for other roles within Singapore Land Authority or the wider Public Service.

(What you will be working on)

You will be part of a team responsible in managing various types of high quality 2D and 3D mapping data (e.g. aerial imagery, point clouds, 3D digital city models, etc.) from the National 3D Mapping Programme. You will be responsible for the delivery of AI/ML solutions from conception to deployment.

This role requires a unique blend of technical expertise, a deep understanding of AI/ML technologies, an understanding of geospatial data and their practical applications, and product management skills. Your primary role will contribute towards (a) improved data processing through AI/ML on large scale mapping datasets to propel the development of innovative AI solutions on geospatial data (b) GeoAI roadmap (c) leading initiatives to uplift internal AI capabilities, including engaging with sectoral, industry and academic partners.

(What we are looking for)

• Background in Land Surveying, Geomatics Engineering, Remote Sensing, Geospatial, Computer Science, Computer Engineering, Computer Vision, Information Technology, or a related field conferred by a recognised university.
• 2-4 years relevant working experience in data science and AI-related domains.
• Strong passion in the latest developments in AI technologies, methodologies, and governance best practices.
• Strong knowledge in machine learning, deep learning and Natural Language Processing techniques.
• Experience working with Large Language Models and computer vision will be an advantage.
• Knowledge in 3D geospatial data and proficiency in programming languages such as Python and data visualisation tools will be an advantage.
• Good analytical, interpersonal, communications and facilitation skills.
• Ability to work independently as well as in a team.

We are seeking a highly skilled and experienced Surveyor Engineer to join our team. As a Surveyor Engineer, you will be responsible for ensuring the accuracy and precision of our surveying operations.

• Monitor and maintain Automated Monitoring System and data.
• Perform site measurements for control survey and monitoring.
• Solve surveying problems including surveying methods and computation.
• Process and analyze survey monitoring data.
• Carry out control and monitor surveys.
• Check and compile survey reports.
• Arrange surveying instruments for calibration twice yearly.
• Maintain and update control survey data of various projects.
• Prepare and submit pre and post survey drawings.

• Degree in relevant Engineering or Land surveying.
• Good oral and written English skills.
• Communication skills.
• Experience in Surveying Software & AutoCAD.
• Good computer knowledge, digital data handling and management.

• Preferably with more than 7 years of experience working as a surveyor on site.
• Familiar with survey data processing.
• Experience in working with Automated Monitoring System.
• Able to survey with good surveying practice and verify the accuracy of surveyed data.
• Ability to display initiative in execution of tasks and be proactive in task delivery.
• Attention to details and good analysis and problem-solving skills.
• Able to cope in a fast-paced environment, willing to work hard with integrity.

• Outlook
• Drilling
• Construction
• Written English
• Quantity Surveying
• Architectural
• Administration
• Surveying
• Marine Engineering
• Procurement
• Attention to Details
• AutoCAD
• Civil Engineering
• Tendering
• Pricing
• Cost Control

This is an exciting opportunity for a motivated and experienced Surveyor Engineer to take their career to the next level. If you are looking for a challenging role that offers opportunities for growth and development, we encourage you to apply today.

(What you will be working on)

You will be part of a team responsible in managing various types of high quality 2D and 3D mapping data (e.g. aerial imagery, point clouds, 3D digital city models, etc.) from the National 3D Mapping Programme. You will be responsible for the delivery of AI/ML solutions from conception to deployment.

This role requires a unique blend of technical expertise, a deep understanding of AI/ML technologies, an understanding of geospatial data and their practical applications, and product management skills. Your primary role will contribute towards (a) improved data processing through AI/ML on large scale mapping datasets to propel the development of innovative AI solutions on geospatial data (b) GeoAI roadmap (c) leading initiatives to uplift internal AI capabilities, including engaging with sectoral, industry and academic partners.

(What we are looking for)

• Background in Land Surveying, Geomatics Engineering, Remote Sensing, Geospatial, Computer Science, Computer Engineering, Computer Vision, Information Technology, or a related field conferred by a recognised university.
• 2-4 years relevant working experience in data science and AI-related domains.
• Strong passion in the latest developments in AI technologies, methodologies, and governance best practices.
• Strong knowledge in machine learning, deep learning and Natural Language Processing techniques.
• Experience working with Large Language Models and computer vision will be an advantage.
• Knowledge in 3D geospatial data and proficiency in programming languages such as Python and data visualisation tools will be an advantage.
• Good analytical, interpersonal, communications and facilitation skills.
• Ability to work independently as well as in a team.

A high-tech satellite ground station at the National University of Singapore operates under the Centre for Remote Imaging, Sensing and Processing (CRISP). The Centre tracks, receives and processes data from remote sensing satellites orbiting the planet and conducts active research on optical, infrared and microwave remote sensing.

A tech savvy forward thinking crew is essential to keep CRISP systems in good shape. In this role, you will plan and carry out a wide range of challenging technical work on antennas, control systems, RF signal and data systems, infrastructure and facilities and server room equipment. You may also have the opportunity to handle direct communications with satellites and monitor the quality of the communications links.

• Assist in the maintenance of CRISP systems such as antennas, computers, facilities, etc.
• Support the monitoring of CRISP systems to detect faults quickly.
• Help to troubleshoot and fix faulty equipment and systems.
• When training is successfully completed, participate in the control of satellites.
• Assist in occasional administrative tasks such as stock checks, spares accounting, etc.
• Undergo certification for work-at-height and boom lift operation.

You are required to undergo extensive training before handling complex tasks. Upon completion of the training program, you will be able to perform your duties effectively.

What you will be working on

You will be part of a team responsible in managing various types of high quality 2D and 3D mapping data (e.g. aerial imagery, point clouds, 3D digital city models, etc.) from the National 3D Mapping Programme. You will be responsible for the delivery of AI/ML solutions from conception to deployment.

This role requires a unique blend of technical expertise, a deep understanding of AI/ML technologies, an understanding of geospatial data and their practical applications, and product management skills. Your primary role will contribute towards (a) improved data processing through AI/ML on large scale mapping datasets to propel the development of innovative AI solutions on geospatial data (b) GeoAI roadmap (c) leading initiatives to uplift internal AI capabilities, including engaging with sectoral, industry and academic partners.

• Background in Land Surveying, Geomatics Engineering, Remote Sensing, Geospatial, Computer Science, Computer Engineering, Computer Vision, Information Technology, or a related field conferred by a recognised university.
• 2-4 years relevant working experience in data science and AI-related domains.
• Strong passion in the latest developments in AI technologies, methodologies, and governance best practices.
• Strong knowledge in machine learning, deep learning and Natural Language Processing techniques.
• Experience working with Large Language Models and computer vision will be an advantage.
• Knowledge in 3D geospatial data and proficiency in programming languages such as Python and data visualisation tools will be an advantage.
• Good analytical, interpersonal, communications and facilitation skills.
• Ability to work independently as well as in a team.