Total 58 information technology job vacancies in Education / Training category in The Philippines

Job Purpose

The primary responsibility of this role is to support the implementation, testing, and validation of the high-frequency ultrasound research platform through experimental setup, data acquisition, software development, and day-to-day technical execution of the project.

Key Responsibilities

• Assist in the development, implementation, and testing of signal processing and imaging algorithms for high-frequency ultrasound structural and functional imaging.
• Support experimental setup, data collection, phantom preparation, system calibration, and routine operation of imaging hardware and associated measurement equipment.
• Conduct bench top and phantom experiments according to defined protocols, and assist in organizing, processing, and documenting experimental data.
• Develop and maintain software scripts, processing pipelines, and visualization tools for imaging experiments and performance evaluation.
• Support system integration activities involving sensors, data acquisition hardware, software interfaces, and computational workflows.
• Help prepare technical documentation, reports, figures, and datasets needed for project reviews, publications, and presentations.
• Maintain laboratory records, inventory, and equipment logs, and support procurement, setup, and troubleshooting of components and consumables.
• Assist in training and supporting students or project users in the use of the developed systems and software.
• Perform other project-related technical duties assigned by the Principal Investigator or senior research staff.

Job Requirements

• MTech, MSc, or equivalent in Electrical Engineering, Biomedical Engineering, Medical Technology, Instrumentation, Computer Engineering, Signal Processing, or a related field.
• Good knowledge of signal processing, imaging, electronics, instrumentation, or medical device-related development.
• Hands-on experience in programming, preferably in Python, MATLAB, C/C++, or similar environments.
• Experience in experimental work, data collection, and system troubleshooting is desirable.
• Familiarity with ultrasound imaging, biomedical instrumentation, image processing, or machine learning is desirable.
• Ability to follow technical protocols accurately and to maintain clear documentation of work performed.
• Ability to work effectively both independently and under the guidance of senior researchers.

Key Competencies

• Technical aptitude and practical problem-solving ability.
• Good programming and data handling skills.
• Careful and systematic approach to experiments, testing, and documentation.
• Attention to detail and commitment to data quality and reproducibility.
• Willingness to learn new technical skills and adapt to evolving project needs.
• Good teamwork and communication skills.
• Ability to manage time effectively and support multiple concurrent project activities. 

Job Purpose

As a University of Applied Learning, SIT works closely with industry in our research pursuits. Our research staff will have the opportunity to be equipped with applied research skill sets that are relevant to industry demands while working on research projects in SIT. 

The primary responsibility of this role is to contribute to an industry innovation research project on developing artificial intelligence (AI) solutions for train operations and maintenance. 

Key Responsibilities

• Work closely with faculty members, researchers, students, and collaborators on research activities and technology development.
• Support research and development in Artificial Intelligence and related areas for train operations and maintenance.
• Assist in the coordination and management of the research project.
• Coordinate finance tracking, reporting, and communications with industry and research partners. 

Job Requirements

• Bachelor/Master/PhD degree in Computer Engineering, Computer Science, Artificial Intelligence, Data Science, Electrical Engineering, or related disciplines.
• Experience in project management, research administration, or coordination of large-scale projects is highly preferred.
• Familiarity with finance management, budget tracking, procurement, or grant administration will be an added advantage.
• Experience in areas such as Machine Learning, Deep Learning, Computer Vision, Large Language Models, Data Analytics, or Intelligent Systems will be advantageous.

Key Competencies

• Prior experience in research project coordination and management
• Basic knowledge about finance tracking and reporting
• Capabilities of communication and organisational skills

As a University of Applied Learning, SIT works closely with industry in our research pursuits. Our research staff will have the opportunity to be equipped with applied research skill sets that are relevant to industry demands while working on research projects in SIT.

We are seeking a motivated Research Engineer to join our team at a newly established Research Centre in Animal Feed, a facility dedicated to aquaculture and animal feed research, production, and capability development. The role is responsible for the reliable, safe, and efficient execution of feed research and production activities, and serves as a key enabler of service delivery, project execution, and capability transfer for the Centre.

You will support the day-to-day running of feed production, testing, and development activities, while developing an end-to-end understanding of feed production, from formulation through to finished feed. This role is ideal for an engineer eager to gain hands-on experience in applied feed science and to help build operational excellence within a growing research environment.

Key Responsibilities:

Feed Mill Operations

• • Ensure the uninterrupted and efficient operation of the feed mill.
  • Plan and execute production runs for R&D, pilot, training, and service activities.
  • Oversee formulation execution, extrusion, drying, coating, and quality control.

Technical Excellence & Standards

• • Establish and maintain operational standards for formulation, processing, and quality control.
  • Ensure compliance with safety, quality, risk and regulatory requirements.
  • Support the commissioning, validation, and optimisation of upgraded equipment.
  • Conduct routine laboratory analyses (e.g. proximate analysis, basic quality checks).
  • Support sample preparation and data generation for feed and ingredient testing.
  • Maintain good laboratory practices and basic QA/QC procedures.

People & Capability Development

• • Provide hands-on leadership and mentoring to technical staff.
  • Transfer operational know-how and best practices to build a competent team.
  • Support the training and upskilling of staff involved in feed production.
  • Communicate with internal and external stakeholders to ensure project deliverables are met.

Operational Integration

• • Work closely with the Centre Director on production planning, resource allocation, and prioritisation.
  • Support the Centre Director in the engagement of external parties.
  • Support the smooth integration of feed mill operations within the Research Centre’s broader project and service portfolio.
  • Any other ad-hoc duties assigned by Supervisors.

Job Requirements:

• Have relevant competence in feed production, processing, or a related technical field.
• Have a degree in Food Science, Animal Science, Aquaculture, Chemical/Process Engineering, or a related discipline.
• Experience in feed milling, extrusion processing, or laboratory analysis (e.g. proximate analysis, QA/QC) will be advantageous.
• Strong hands-on, problem-solving, and team-leadership skills will be advantageous.

About the Job

The Singapore University of Technology and Design (SUTD) is seeking a highly motivated and skilled Research Assistant to support a research project focused on leveraging multimodal Large Language Models (LLMs) to enhance user intention understanding and decision-making process, particularly in the area of recommender systems. The successful candidate will work closely with faculty and researchers to design, implement, and evaluate novel methods that integrate LLMs for more intelligent user understanding and decision-making systems. This position offers a unique opportunity to contribute to cutting-edge AI research with real-world impact.

What You'll Do

• Conduct research on applying LLMs to improve the user intent understanding and decision-making process.
• Develop and implement experimental prototypes and evaluate model performance.
• Conduct literature reviews and contribute to the writing of research papers and reports.
• Collaborate with team members and participate in regular research discussions.

Who We're Looking For

• A Bachelor’s degree in Computer Science, Artificial Intelligence, Data Science, or a related field.
• Proven research experience, particularly in user modeling, personalization and decision-making process and recommender systems.
• Strong programming skills (e.g., Python, PyTorch, TensorFlow).
• Excellent written English communication skills.
• Self-motivated, independent, and passionate about research.
• Familiarity with prompt engineering, fine-tuning LLMs, or knowledge distillation is a plus.
• Experience with publishing in academic conferences or journals is a plus.

Role Overview

As a University of Applied Learning, SIT works closely with industry in its research pursuits. Our research staff have the opportunity to develop industry-relevant applied research capabilities while contributing to impactful projects that address real-world operational needs.

We are seeking a Research Engineer to join an applied research project focused on the development of an embodied AI robotic system for urban infrastructure inspection and maintenance. The project involves the design, integration, and validation of robotic mechanisms, sensing systems, and automated workflows for outdoor infrastructure maintenance applications.The successful candidate will work closely with a multidisciplinary research team and industry partners to investigate, prototype, test, and implement practical robotic solutions that can operate in real-world environments and support more efficient, safe, and scalable infrastructure maintenance.

Key Responsibilities

• Design, develop, and integrate customised mechanical mechanisms for robotic systems, including robotic end-effectors, grippers, tool-changing interfaces, material handling systems, and task-specific automation modules.
• Develop 3D CAD models, fabrication drawings, Bills of Materials (BOMs), and technical documentation using SolidWorks.
• Perform mechanical design analysis and engineering calculations, including load estimation, actuator sizing, structural integrity, tolerance analysis, and vibration/shock mitigation.
• Ensure mechanical designs are compatible with robotic arms, mobile platforms, sensors, and mechatronic systems, considering payload, reachability, safety, manufacturability, and maintainability.
• Build, assemble, and commission mechanical prototypes and experimental robotic systems.
• Conduct laboratory and field testing, analyse results, troubleshoot issues, and implement design improvements through iterative development.
• Source and evaluate commercial components, and work with vendors, fabricators, and contractors to support fabrication and assembly.
• Support field deployments and technology demonstrations with industry partners.
• Prepare technical reports, design documentation, test reports, risk assessments, and project deliverables.
• To liaise and communicate with internal and external stakeholders to ensure project deliverables are met.
• Any other ad-hoc duties assigned by Supervisor.

Requirements

• Bachelor’s degree or higher in Mechanical Engineering, Mechatronics Engineering, Robotics Engineering, or a related discipline.
• Strong hands-on experience in mechanical design, prototyping, fabrication, and system integration.
• Proficiency in SolidWorks for 3D modelling, assembly design, and engineering documentation.
• Good understanding of mechanical design principles, materials, manufacturing processes, and engineering analysis.
• Experience working with robotic systems, sensors, actuators, or mechatronic systems is advantageous.
• Strong problem-solving skills, attention to detail, and ability to work independently and within multidisciplinary teams.
• Willingness to conduct laboratory and field testing when required.

Project Overview

The DiSTAP programme addresses deep problems in food production in Singapore and the world by developing a suite of impactful and novel analytical, genetic and biosynthetic technologies. DiSTAP is one of the five Interdisciplinary Research Groups (IRGs) of the Singapore-MIT Alliance for Research and Technology (SMART).  The research engineer will join an interdisciplinary team of chemists, engineers and plant biologists in the development, modification and characterization of functional conjugated polymers with unique optical properties that could potentially be used for cell imaging. These novel tools enables optimal crop production and rapid development of plants suitable for high-density farming and revolutionalizes urban farming strategies.

Responsibilities

• Support the DiSTAP nanosensor team in the development and validation of novel single-walled carbon nanotube (SWNT)-based sensors, with a primary focus on Covalent Organic Framework microneedles (COF-MNs) and nanosensors for nutrient sensing.
• Participate in translational research projects alongside external collaborators and open-field commercial plantation partners to drive the commercialization of DiSTAP technologies.
• Work across interdisciplinary team on in-planta studies using nanosensors for the real-time monitoring of plant nutrients, metabolites, and stress responses.
• Play a crucial role in enhancing the throughput of sensor data evaluation by developing, optimizing, and maintaining automated data processing and analysis pipelines.

Requirements

• BSc in Chemistry, Materials Science, Engineering, or a closely related field.
• Hands-on experience working with nanosensors, nanoparticle synthesis, and materials characterization, particularly regarding their applications in plant biology.
• Strong hands-on laboratory skills and technical proficiency.
• Excellent teamwork and collaboration skills, with the ability to mentor visiting students and interns.
• Ability to effectively communicate research progress through technical reports and poster presentations.
• Excellent written and verbal communication skills in English.

To apply, please visit our website at: https://portal.smart.mit.edu/careers/career-opportunities

Interested applicants are invited to send in their full CV/resume, cover letter and list of three references (to include reference names and contact information). We regret that only shortlisted candidates will be notified.

Location: Pioneer

Duration: 10 months contract

Salary: Up to $5000

Job Responsibilities:
● Drive the development of course-related materials, learning resources and project documentation in collaboration with project co-leads and team members.

● Review, organise and update course-related materials to ensure quality, consistency and readiness for implementation.

● Develop, format and quality-assure learning and assessment materials to ensure clarity, consistency and alignment.

● Develop and refine digital learning materials and simple multimedia resources where required.

● Coordinate meetings, document key discussions, track follow-up actions, and maintain project records and version control.

● Carry out data collation, basic analysis and administrative tracking to support project planning and reporting.

● Work within Blackboard UCV from a staff-user perspective to upload, organise, check and maintain course content and related resources.

● Undertake other general administrative tasks as and when required.

Job Requirements:
● Minimum degree or post-graduate diploma in Education, Instructional Design, Learning Sciences, Learning Design, Communications, or a related field.

● Relevant experience in learning design, course support, project coordination, educational technology support, or a related area will be preferred.

● Familiarity with learning design principles such as constructive alignment, writing learning outcomes, and assessment design.

● Comfortable working in Blackboard UCV as a staff user, including managing and organising course content and resources.

● Real-world experience using Articulate 360, Genially and/or Vyond will be an advantage.

Ally (Kubota Ayako)
CEI Reg. No. R26161457
EA Lic: 99C4599
Recruit Express Pte Ltd

Research Assistant/Associate (Community Innovation and Applied Social Research)

The Lee Kuan Yew Centre for Innovative Cities (LKYCIC) at the Singapore University of Technology and Design(SUTD) invites applications for full-time Research Assistant/Associate appointments to support applied research and innovation projects on people, communities, and cities.

The position is suited for candidates with strong interests in mixed-methods social science research, social policy innovation, community development, and translating research into real-world impact. The successful applicant will join an interdisciplinary teamworking at the intersection of behavioural science, urban planning, public health, sustainability, and community activation.

About the role

The successful candidate will contribute to projects in LKYCIC focusing on understanding how social and built environments shape individual and community outcomes, and how research can be translated into practical interventions, programmes, policies, and design solutions.

Current and upcoming projects include:

• Social capital and community resilience in neighbourhoods and community hubs
• Climate adaptation, urban heat resilience, and sustainable living
• Community activation and citizen engagement initiatives
•  Population health and healthy neighbourhoods
• Design and evaluation of community-based interventions
• Development of practical tools, frameworks, and guidelines for policymakers and practitioners

Projects typically involve a combination of surveys, interviews, focus groups, behavioural observations, workshops, participatory design activities, and field-based research conducted in partnership with government agencies, community organisations, industry partners, and residents. Depending on the project, researchers may also have opportunities to work with digital platforms, spatial data, and emerging AI-enabled tools that support research, community engagement, programme design, and policy innovation.

Key responsibilities

The candidate will be expected to:

• Support the design and implementation of mixed-methods research studies
• Conduct literature reviews and evidence synthesis
• Design and administer surveys, interviews, focus groups, and workshops
• Conduct field observations and community-based data collection
• Analyse qualitative and quantitative data using appropriate methods and software
• Assist in stakeholder engagement, participatory design, and community activation activities
• Support project management, coordination, and reporting
• Prepare research reports, policy briefs, presentations, and academic manuscripts
• Contribute to the translation of research findings into practical recommendations, interventions, and tools
• Work collaboratively with interdisciplinary researchers and external partners

The Centre may, at its discretion, assign additional responsibilities from time to time, such as teaching or other duties aligned with the Centre’s needs.

Skills and qualifications required

• Bachelor’s or postgraduate degree (MA, MSc, March, MPP or equivalent) in sociology, public policy, geography, urban studies, architecture, public health, psychology, community development, social work, behavioural science, environmental studies, or related disciplines
• ⁠Demonstrated interest in applied social science research, real-world impact, and the translation of research into practical interventions, programmes, policies, or design solutions
• Experience with qualitative and/or quantitative research methods, including survey design, interviews, focus groups, observations, workshops, or field-based research
• Strong analytical, organisational, and problem-solving skills, with the ability to exercise good judgement and initiative in complex real-world settings
• Strong written and verbal communication skills, including the ability to present research insights clearly to academic, policy, practitioner, and community audiences
• Ability to work independently while contributing effectively within interdisciplinary and partner-facing teams
• Interest in community engagement, social innovation, urban issues, sustainability, public health, and/or policy development
• Adaptability and willingness to learn new methods, tools, and approaches, including digital platforms, spatial data, or AI-enabled research tools where relevant

The following would be advantageous:

• Experience conducting fieldwork and community-based research
• Experiencein programme evaluation, policy analysis, or participatory research

How to apply

Interested applicants are encouraged to send their application with the subject heading “ResearchAssistant/Associate (Community Innovation and Applied Social Research)” to lkycic@sutd.edu.sg with the following:

• Cover letter explaining your interest in the position and addressing the qualifications and skills requirements (maximum 1 page)
• Curriculum vitae
• Two writingsample (e.g., thesis, report, publication, policy brief, or research paper)
• Names and contact details of three referees who may be contacted for a reference

We regret that only shortlisted candidates will be notified. Applications will be reviewed on a rolling basis and will continue until the position is filled.

Job Title: Research Technician/Assistant (Sputtering Systems)

About Us
We are an early-stage venture team developing advanced thin film materials and deposition workflow technologies for applications in optics, photonics, and memory. Our work focuses on high quality coatings and process development using sputtering-based techniques.

Role Overview
We are looking for a hands-on and reliable research technician to operate and manage our sputtering system, support day-to-day experimental work, and ensure smooth lab operations. This role is critical in enabling consistent thin film deposition for internal R&D and external projects.

Key Responsibilities
• Operate and manage a sputtering system (e.g. AJA International sputtering system) independently
• Perform thin film deposition for various projects and customer requirements
• Execute day-to-day experiments following defined process parameters and protocols
• Troubleshoot equipment issues and process deviations
• Perform basic maintenance and minor repairs, including vacuum systems (pumps, leak checks, seals), gas lines and plumbing and electrical connections and wiring
• Support process optimization and data collection
• Maintain proper documentation of experiments, parameters, and results
• Ensure safe operation of equipment and adherence to lab safety protocols

Requirements• Minimum Diploma in Engineering (Materials Science, Electrical, Mechanical, or related field)
• Prior experience operating sputtering or vacuum deposition systems is strongly preferred
• Familiarity with vacuum systems, gas handling, and thin film processes
• Hands-on experience with basic troubleshooting and maintenance
• Comfortable working with electrical systems, plumbing / gas lines, mechanical components
• Ability to work independently and take ownership of equipment and processes

Preferred Qualifications (Nice to Have)• Experience with sputtering systems or similar PVD tools
• Background in thin film characterization or materials processing
• Experience in a research lab or cleanroom environment

What We’re Looking For• Practical, hands-on problem solver
• Detail-oriented and reliable
• Able to run experiments independently
• Comfortable working in a startup environment (flexible, fast-paced)

Why Join Us• Opportunity to work on cutting-edge materials and technologies
• High ownership and impact in a growing startup
• Exposure to both research and real-world applications

Location: Singapore (SUTD campus, with potential access to shared/collaborators’ lab facilities)

About the Job

We are in search of a highly motivated and accomplished Research Assistant to join our team and significantly contribute to our ongoing research project "Understanding and Generating Interleaved Image-Text Persuasion". The successful candidate will collaborate closely with our research team, working on the development of multimodal AI. This role offers an exciting opportunity to engage in cutting-edge research in multimodal learning and have a substantial influence on the field.

What You’ll Do

• Conduct literature reviews on multimodal persuasion, visual communication, and the evaluation of large vision-language models.
• Support the design and development of datasets and evaluation frameworks for understanding interactions between images and text.
• Assist in evaluating and enhancing multimodal models for analysing and generating interleaved image-text content
• Summarize experimental results and contribute to the preparation of research reports, presentations, and academic publications.

Who We’re Looking For

• Bachelor degree with background in computer science, data science, artificial intelligence, or a related field.
• Strong interest in multimodal AI, vision-language models.
• Basic experience with Python and machine learning frameworks such as PyTorch is preferred.
• Familiarity with natural language processing, computer vision, or large language models is an advantage.
• Good analytical, communication, and organizational skills.
• Ability to work independently while collaborating effectively with a research team.

This is a call for hiring researchers to conduct high quality research in the area of quantum thermodynamics, in particular questions of bridging different theoretical frameworks, finding applications in many-body physics, or generalizations of the resource-theoretic approach to account for practical aspects of quantum thermodynamics.

Responsibilities:

The candidate is expected to, but not limited to, engage in the following research directions:

• Utilize techniques and tools in quantum information theory in the study of quantum thermodynamics

• Conduct research in understanding the fundamental limits of controlling out-of-equilibrium quantum systems

Requirement:

• PhD in the area of quantum information and quantum thermodynamics.

• Consistent research track record in terms of publication for the following areas of study:

  Studying the extension of resource-theoretic quantum thermodynamics to account for practical considerations

  Exploring the applications of theoretical quantum thermodynamics to study many-body systems

  Establishing the precise role of catalysis in quantum thermodynamics

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

This is a call for hiring researchers to conduct high quality research in the area of quantum resource theories, in particular areas of interest such as (but not limited to) catalytic resource theories, bridging different existing theoretical thermodynamics frameworks, or studying the effects of finite-size effects on thermodynamic processes. This is in line with the mission of the university to work on cutting-edge research topics that are of both fundamental and practical importance.

Responsibilities:

The candidate is expected to, but not limited to, engage in the following research directions:

• Utilize techniques and tools in quantum information theory in the study of quantum thermodynamics

• Conduct high quality research in understanding the fundamental limits of controlling out-of-equilibrium quantum systems

Requirements:

• PhD in the area of quantum information and quantum thermodynamics.

• Consistent research track record in terms of publication for the following areas of study:

  Studying the role of robust quantum catalytic processes

  Studying the hybridization of quantum resource theories

  Exploring the applications of theoretical quantum thermodynamics in many-body systems

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

Established in 1992, the Wee Kim Wee School of Communication and Information (WKWSCI) is the only full-fledged communication school in Singapore and is a world-class centre of excellence with an international faculty, state-of-the-art research laboratories, and global institutional affiliations.

We are looking for a Research Assistant (1-year contract) to support a research project examining disinformation and propaganda operations across Southeast Asia and their impact on Singaporeans. The project will focus on the digital space, including social media and messaging apps.

Key Responsibilities:

• Collect, scrape, and clean large datasets from online platforms and media sources.

• Conduct computational analysis of disinformation and propaganda networks.

• Develop and apply data visualization techniques to present findings clearly.

• Collaborate on research design and methodology discussions.

• Co-author academic papers, conference submissions, and project reports.

• Support literature reviews and integrate computational insights into theoretical frameworks.

• Assist in preparing presentations and communicating findings to stakeholders.

• Assist in logistics, such as equipment purchasing and hiring student assistants

Job Requirements:

• Bachelor’s or Master’s degree in computer science, data science, information studies, or related fields.

• Strong programming skills (e.g., Python, R) for data scraping, cleaning, and analysis.

• Experience with data visualization tools and libraries (e.g., Tableau, matplotlib, ggplot).

• Familiarity with social media APIs and web scraping frameworks.

• Ability to run statistical and computational analyses (e.g., regression, network analysis, machine learning).

• Academic writing skills and willingness to co-author publications.

• Strong problem-solving skills and ability to work independently and collaboratively.

• Prior experience in computational social science or related projects is preferred; Entry level candidates with relevant skills are welcome to apply.

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

Established in 1992, the Wee Kim Wee School of Communication and Information (WKWSCI) is the only full-fledged communication school in Singapore and is a world-class centre of excellence with an international faculty, state-of-the-art research laboratories, and global institutional affiliations.

We are looking for a Research Engineer I / Research Engineer II (1-year contract) to support a research project examining disinformation and propaganda operations across Southeast Asia and their impact on Singaporeans. The project will focus on the digital space, including social media and messaging apps.

Key Responsibilities:

• Collect, scrape, and clean large datasets from online platforms and media sources.

• Conduct computational analysis of disinformation and propaganda networks.

• Develop and apply data visualization techniques to present findings clearly.

• Collaborate on research design and methodology discussions.

• Co-author academic papers, conference submissions, and project reports.

• Support literature reviews and integrate computational insights into theoretical frameworks.

• Assist in preparing presentations and communicating findings to stakeholders.

• Assist in logistics, such as equipment purchasing and hiring student assistants

Job Requirements:

• Bachelor’s or Master’s degree in computer science, data science, information studies, or related fields.

• Strong programming skills (e.g., Python, R) for data scraping, cleaning, and analysis.

• Experience with data visualization tools and libraries (e.g., Tableau, matplotlib, ggplot).

• Familiarity with social media APIs and web scraping frameworks.

• Ability to run statistical and computational analyses (e.g., regression, network analysis, machine learning).

• Academic writing skills and willingness to co-author publications.

• Strong problem-solving skills and ability to work independently and collaboratively.

• Prior experience in computational social science or related projects is preferred; Entry level candidates with relevant skills are welcome to apply.

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

Interested applicants are invited to apply directly at the NUS Career Portal. Please note your application will only be processed if you apply via NUS Career Portal.

NUS Career Portal link: https://careers.nus.edu.sg/job/Senior-Research-Scientist-Remote-Sensing-Technology-&-Applications/32601-en_GB/

We regret that only shortlisted candidates will be notified.

Job Description

The successful candidate will be responsible for leading research programmes in remote sensing technology and applications. He/she is expected to continuously enhance the scientific knowledge of the Centre and participate actively in remote sensing technology development and application projects. 

Experience in one or more of the following research areas will be advantageous:
* Atmospheric remote sensing : Atmospheric radiation, aerosols and clouds, particles/gases transport/dispersion modeling. 
* Aquatic remote sensing: Ocean optics, water quality, bathymetry and sea bottom characterization.
* Terrestrial remote sensing: Regional land cover/vegetation/biomass mapping, biomass burning, land use/Land cover change.
* Sensing technology and applications: Synthetic aperture radar, hyperspectral imaging, high resolution 3D modelling and precision mapping.
* Machine learning and artificial intelligence techniques for remote sensing applications.

Qualifications

• A Doctoral Degree in Science, Engineering, or in other relevant disciplines with at least 8 years of research experience in remote sensing or related fields.
• Ability to lead a team of researchers as a Principal Investigator in various research projects.

Other qualities we are looking for:
* In-depth knowledge of advanced digital data/image processing techniques and applications 
* Solid experience and skill in scientific and engineering computing 
* Ability to develop and implement data/image processing and/or machine learning algorithms