Total 727 Education / Training job vacancies in PASIR GUDANG

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/Research-Fellow-%28Smart-Pavement%29/33311-en_GB/

We regret that only shortlisted candidates will be notified.

Job Description

The National University of Singapore (NUS) Department of Civil and Environmental Engineering invites applications for one (1) Research Fellow position in the area of smart pavements. The candidate is expected to work in research projects related to the topic funded by the Defence Science and Technology Agency of Singapore. The candidate will be working with Associate Professor Ong Ghim Ping Raymond from the Department of Civil and Environmental Engineering, College of Design and Engineering (CDE)(https://cde.nus.edu.sg/cee/staff/ong-ghim-ping-raymond/) in fundamental and translational research in the development of new asphalt pavement design guidelines.
 

The selected individual is required to:

•    Perform field experiments on installation and operations of smart pavements including sensor installation, data acquisition, camera system development, edge device management, backend communications, and software architecture integration as core focus.
•    Work on mechanistic empirical pavement modelling and evaluation for airport pavements.
•    Develop state of the art solutions for high performance pavement system and work closely with contractors and agencies on field construction implementation to ensure solution is commercially viable.
•    Manage research project progress, grant administration, and finance.
•    Work on other relevant tasks set out by the project PI.  

Job Requirements

•    Possess a PhD in civil engineering or a related area. 
•    Applicants with relevant experience in both field asphalt pavement design and modelling, smart road development and field implementation would be favourably considered. 
•    Strong written and spoken communications and has the ability to present research findings in publications and professional meetings (including with agencies and the industry). 
•    Values teamwork and has good team working skills. 
•    Open to fixed-term contract. 
 

Interested applicant may apply to the job link with the followings: 

•    Cover letter
•    Curriculum vitae and transcripts, including a list of publications (provide softcopies of relevant papers)
•    The school will request for referee letters (of which one must be from the PhD supervisor)
 
•    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/Research-Assistant-%28Laboratory-Coordinator%29/33309-en_GB/

We regret that only shortlisted candidates will be notified.

Job Description

Location: Lung Diseases Research Laboratory in the Department of Physiology, National University of Singapore

Email interest with CV and list of at 2 referee letters to NUS Career Portal

Research Assistant (Laboratory Coordinator)

The Research Assistant (Laboratory Coordinator) will support the administrative and operational functions of the laboratory, ensuring efficient coordination of research activities and compliance with institutional policies. The role also includes providing experimental support to Research Fellows/Associates and students where required.

Key Responsibilities

• Coordinate project administration, including procurement, purchase orders, and invoice processing
• Maintain accurate laboratory records, documentation, and filing systems (electronic and hardcopy)
• Support day-to-day laboratory operations, logistics, and inventory tracking
• Provide technical and experimental support to Research Fellows/Associates and students, where applicable, hands-on experience in animal work is preferred
• Assist with basic laboratory procedures and ensure proper use of equipment and resources, including safety-related documentation and procedures
• Liaise with internal departments (e.g., finance, procurement, safety) and external vendors
• Ensure compliance with institutional guidelines and standard operating procedures

Qualifications

• Bachelor’s degree in Biological Sciences or a related discipline
• Proven experience in project coordination or administrative roles
• Strong organizational skills with high attention to detail
• Prior laboratory experience with animal handling is advantageous

Skills & Competencies

• Ability to work independently and manage multiple priorities
• Strong interpersonal and communication skills
• Ability to support experimental work in a collaborative research environment

Application Instructions

Interested applicants should submit a CV, a cover letter, and three reference letters.

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/Research-Associate-%28Data-Engineering%29/33302-en_GB/

We regret that only shortlisted candidates will be notified.

Job Description

We are seeking a skilled and motivated Research Associate to join our environmental informatics team. In this role, the candidate will build and maintain the data infrastructure that underpins our environmental monitoring and early-warning systems. The work will involve diverse, high-volume data streams — including rainfall records, temperature sensors, radar imagery, and computer vision outputs — to deliver a unified, query table, and secure data platform that drives research, operational decision-making, and stakeholder dashboards. 

Key Responsibilities
1.  Environmental Data Platform
•    Design, build, and maintain a unified database to ingest and store diverse environmental data streams: rain gauge records, gridded temperature data, rainfall radar (e.g. OPERA, NEXRAD), satellite imagery, and computer vision model outputs.
•    Define and enforce common data schemas and ontologies across heterogeneous source formats (NetCDF, HDF5, GeoTIFF, CSV, JSON, REST/API feeds).
•    Implement scalable ingestion pipelines supporting real-time streaming and batch historical loads.
•    Ensure data traceability with robust metadata, provenance tracking, and versioning.

2.  Data Processing & Quality Assurance
•    Develop and maintain automated pipelines for data cleaning, outlier detection, and quality flagging.
•    Implement missing-data imputation methods appropriate to environmental time-series and spatial fields (e.g. interpolation, climatological fill, ML-based gap-filling).
•    Apply noise-removal algorithms (e.g. signal filtering, radar clutter suppression, spike detection) across sensor and remote-sensing data types.
•    Document processing logic and maintain reproducible workflow configurations. 

3.  Visualisation & Dashboards
•    Design and develop interactive dashboards for operational and research users, displaying spatial maps, time-series plots, and aggregated statistics.
•    Integrate visualisation tools (e.g. Grafana, Superset, Plotly Dash, or custom web front-ends) with the data backend.
•    Collaborate with domain scientists to translate monitoring requirements into effective visual analytics.
•    Ensure dashboards remain performant and responsive under live data load. 

4.  Data Security & Governance
•    Implement and maintain role-based access control (RBAC) for all data assets.
•    Enforce data encryption at rest and in transit; manage secrets and credentials securely.
•    Support compliance with relevant data governance policies and institutional data-sharing agreements.
•    Maintain audit trails and access logs; respond to security reviews and risk assessments.

5.  Infrastructure & Operations
•    Manage cloud or on-premise database services (e.g. PostgreSQL/PostGIS, TimescaleDB, InfluxDB, or equivalent); tune for time-series and geospatial query performance.
•    Maintain CI/CD pipelines for data pipeline code; apply version control best practices.
•    Monitor pipeline health, set up alerting for failures, and respond to incidents.
•    Contribute to infrastructure-as-code practices (Docker, Kubernetes, Terraform or equivalent)

Job Requirements

•    Possess at least a Master’s degree in computer science, Data Engineering, Environmental Informatics, or a closely related field.
•    3–6 years of professional experience in data engineering, with demonstrable work on time-series or geospatial data.
•    Proficiency in Python (pandas, NumPy, xarray, or similar) and SQL; experience with at least one workflow orchestration tool (Airflow, Prefect, Luigi, etc.).
•    Hands-on experience with geospatial or scientific data formats: NetCDF, HDF5, GeoTIFF, GeoJSON, or similar.
•    Working knowledge of relational and time-series databases, with practical experience in data modelling.
•    Familiarity with cloud platforms (AWS, GCP, or Azure) and containerisation (Docker).
•    Solid understanding of data security principles: encryption, RBAC, secrets management. 
•    Open to fixed-term contract. 

Experience
•    Experience with environmental, meteorological, or hydrological datasets (radar QPE, NWP outputs, IoT sensor networks).
•    Familiarity with PostGIS or other spatially enabled database extensions.
•    Exposure to machine learning pipelines or MLOps practices for model output ingestion.
•    Experience building dashboards with Grafana, Apache Superset, Plotly Dash, or equivalent.
•    Contributions to open-source scientific data tooling (e.g. xarray, GDAL ecosystem).

Core Competencies
•    Preferably knowledge with Python, SQL, Bash
•    Time-series & geospatial DBs
•    Data pipeline orchestration
•    Cloud & containerisation
•    Dashboard & BI tools
•    Data security & RBAC

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/Research-Fellow-%28Dept-of-Materials-Science-and-Engineering%29-1/30162-en_GB/

We regret that only shortlisted candidates will be notified.

Job Description

We are looking for highly talented and motivated candidates to work on developing closed loop robotics hardware and software. Together with a multi-disciplinary team of electronics/electrical engineers, you will be part of an exciting research program to develop next-generation sensor devices and systems for human-machine interactions. 

Qualifications

PhD in Materials Sciences, Robotics, Mechanical Engineering, or related disciplines.

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/Research-Assistant-%28Chemistry%29/33296-en_GB/?st=A995DE39F8DA5ECF6CD7640B102DE677C18D0B87

We regret that only shortlisted candidates will be notified.

Job Description

The successful candidate will work with Asst. Prof. Liviu Ungur on development of the sampling methodology of machine learning potentials under a project on "Achieving Transferability in MLFFs via Targeted Sub-Configuration Space Curation and Sampling".

The main responsibilities of the position include:
•    Generation of the training data for machine learning potentials
•    Study of the configuration space map, clustering of configurations
•    Contribution to the MLFF training software

Qualifications / Discipline:
•    BSc in Chemistry or Physics 

Skills:
•    Working skills with machine learning tools, such as TensorFlow, PyTorch, pyhton coding and bash scripting, etc.
•    Experience with solid-state softwares, such as VASP or Quantum Esspresso. 
•    Experience with molecular dynamics simulations with Lammps / Gromacs.

Experience:  
•    Working experience with high-performance computing clusters, such as NSCC or HPC @NUS.
•    Several years of research experience in the field of computational material science, computational chemistry, computational phy

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/Research-Fellow-%28Asphalt-Pavement-Materials%29/33310-en_GB/

We regret that only shortlisted candidates will be notified.

Job Description

The National University of Singapore (NUS) Department of Civil and Environmental Engineering invites application for one (1) Research Fellow position in the area of resilient and circular asphalt pavement materials. The candidate is expected to work in research projects related to the topic funded by the Defence Science and Technology Agency of Singapore. The candidate will be working with Associate Professor Ong Ghim Ping Raymond from the Department of Civil and Environmental Engineering, College of Design and Engineering (CDE)(https://cde.nus.edu.sg/cee/staff/ong-ghim-ping-raymond/) in fundamental and translational research in the development of new asphalt pavement design guidelines.
 

The selected individual is required to:

•    Perform laboratory and field experiments on circular resilient airport asphalt pavements as core focus.
•    Work on mechanistic empirical pavement design and modelling for airports.
•    Develop state of the art solutions for high performance pavement system and work closely with contractors and agencies on field construction implementation to ensure solution is commercially viable.
•    Manage research project progress, grant administration, and finance.
•    Work on other relevant tasks set out by the project PI. 

Job Requirements

•    Possess a PhD in Civil Engineering or a related area. 
•    Applicants with relevant experience in both experimental and field asphalt pavement design, standard development and construction would be favourably considered. 
•    Strong written and spoken communication and has the ability to present research findings in publications and professional meetings (including with agencies and the industry).
•    Values teamwork and has good team working skills. 
•    Open to fixed-term contract. 

Interested applicant may apply to the job link with the followings: 
•    Cover letter
•    Curriculum vitae and transcripts, including a list of publications (provide softcopies of relevant papers)
•    The school will request for for referee letters (of which one must be from the PhD supervisor)
 
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/Laboratory-Technologist-%28Research-Support%29/32771-en_GB/

We regret that only shortlisted candidates will be notified.

Job Description

To support laboratory operations by performing clinical chemistry analyses, biospecimen processing, and ensuring effective management of laboratory consumables, reagents, and equipment. The role maintains high standards of quality, safety, and compliance to support research activities.

Duties & Responsibilities
• Perform routine clinical chemistry analyses
• Perform blood and urine sample processing
• Ensure proper handling, labelling, storage, and traceability of samples
• Carry out routine equipment maintenance and basic troubleshooting for laboratory equipment
• Responsible for laboratory-base risk management, audits, and compliance documentation
• Maintain a safe, clean and hygienic laboratory working environment
• Perform other laboratory operational duties as required

Qualifications

• Diploma or bachelor’s degree in Biomedical science, Life Sciences, Chemistry, or a related discipline. Candidates without experience are welcome to apply
• Experience in clinical chemistry or biospecimen processing is an advantage
• Meticulous with strong attention to detail and good documentation practices
• Self-motivated, responsible, and willing to learn new techniques and systems
• Strong collaborative mindset with the ability to work effectively in a multidisciplinary team environment

On our Perception team, you have the opportunity to work with world-class ML engineers and research scientists, whose mission is to make self-driving vehicles a reality and to create a positive social impact. Our team works on the tech stack responsible for perceiving the dynamic scenarios, and further tracking and classifying objects around our robo-taxi. We are looking for engineers who are passionate about Level 4 autonomous driving technology, excited by intellectual challenges, and interested in pursuing career growth with a fast-growing company.

What You'll Be Doing:

• Contribute to the development and implementation of advanced perception algorithms for object detection, tracking, classification, and segmentation using camera, lidar, and radar data
• Connect and drive business impact through technology solutions
• Design and implement sensor fusion algorithms to combine data from multiple sensors to create a robust and accurate perception system
• Optimize perception algorithms for real-time performance on embedded hardware
• Collaborate with other engineers and teams to integrate perception systems into larger autonomous systems
• Stay abreast of the latest research and advancements in machine learning and computer vision and apply them to real-world problems
• Productionize and deploy solutions onto autonomous vehicle fleets
• Derive good insight from large data sets from a variety of sources
• Mentor and guide junior engineers on the team

What We're Looking For:

• Masters or Ph.D. in Machine Learning, Computer Science, Robotics, Applied Mathematics, Statistics, Physics or a related field; or equivalent industry experience
• In-depth understanding of common Machine Learning and Deep Learning algorithms
• Experience with designing, training, and analyzing neural networks for at least one of the following applications: object detection, semantic/instance segmentation, visual classification, motion/gesture recognition, sensor fusion, multitask learning, multi-object tracking, and/or end-to-end perception
• Experience with deep learning frameworks such as TensorFlow or PyTorch
• Fluency in Python, including standard scientific computing libraries and Python bindings development experience
• Advanced knowledge of software engineering principles including software design, source control management, build processes, code reviews, testing methods
• Excellent communication and interpersonal skills
• Experience mentoring and leading others

Preferred, but not required:

• Strong programming skills in C++ and/or CUDA programming
• Proven track record of developing and deploying perception systems for autonomous vehicles or robotics
• Experience with embedded systems and real-time optimization, especially in the autonomous driving industry
• Experience with launching ML products from ideation
• Proven track record of publications in relevant conferences (CVPR, ICML, NeurIPS, ICCV, ICL, etc.)
• Experience in deploying models into real-world environments

About NATi

The Nucleic Acid Therapeutics Initiative (NATi), hosted by A*STAR, is Singapore's national platform dedicated to advancing RNA-based medicines and revolutionising drug and vaccine development. NATi's mission is to establish Singapore as a globally recognised hub of excellence in nucleic acid therapeutics research, clinical translation, and commercialisation.

NATi focuses on key RNA modalities such as antisense oligonucleotides (ASOs), small interfering RNA (siRNA), and messenger RNA (mRNA). To drive this vision, NATi is building a biotech-like translational engine focused on asset and technology development spanning discovery to clinical development.

We are actively seeking passionate and committed RNA scientists with deep translational expertise to join us in advancing the next generation of RNA-based therapeutics.


Position Overview

The Scientist / Senior Scientist (Infectious Diseases), Vaccines & Immunotherapeutics will develop mRNA immunotherapies across multiple therapeutic programs. This role is important in NATi"s development of immunotherapy candidates from discovery/pre-clinical to IND-enabling stages. The successful candidate will have prior experience and proven track record in the academic or biotech laboratory settings.

Key Responsibilities

• Support and execute the Vaccines R&D strategy in a creative, innovative manner. 
• Develop and optimise laboratory methods for characterisation of the different RNA therapeutic modalities (e.g., mRNA, circRNA, saRNA, gRNA), focusing on protein translation and stability. 
• Design and conduct in vitro assays to assess vaccine-specific responses and identify and quantify cellular targets and efficacy readouts for infectious diseases.
• Stay current with immunology, vaccinology literature and emerging platforms and provide scientific expertise in the areas of cellular and humoral immune responses to vaccines.
• Independently write protocols, procedures and develop and maintain SOPs to ensure reproducibility, compliance, and readiness for IND submission, contribute to CMC documentation. 
• Prepare technical reports, presentations, and documentation to support internal decision-making and external regulatory submissions. Communicate results orally or written, internally or externally. 
• Train and mentor junior lab personnel.
• Collaborate with scientists across multiple functions.
• Maintain accurate records using LIMS/ELN systems to support data integrity and reproducibility.
• Support tech transfer activities to external CDMOs, including preparation of reports, training, and troubleshooting support.

Qualifications & Experience

• PhD in Immunology or a related field with minimum of 8+ years of experience. Industry experience preferred.
• Detailed knowledge in immunology and cellular biology, mechanisms underlying autoimmune, allergy and inflammatory diseases with deep expertise in T-cell function and with emphasis on cytokine signalling, tolerance mechanisms, and immunopathology. 
• Proven proficiency in immunophenotyping, particularly extensive hands-on experience with multi-color flow cytometry including panel design, staining fluency, compensation, and data analysis/interpretation.
• Strong record of accomplishment in advancing immunology-focused therapeutics and leading translational/biomarker initiatives.
• Proven ability to develop, validate and troubleshoot assays.
• Ability to work independently and collaboratively in a cross-functional, fast-paced multidisciplinary environment to effectively deliver results within reasonably established timelines.
• Knowledge and experience with in vivo models.
• Expertise developing mRNA-LNP therapeutics is highly desirable.
• Ability to work well with CROs.

The above eligibility criteria are not exhaustive. A*STAR may include additional selection criteria based on its prevailing recruitment policies. These policies may be amended from time to time without notice. We regret 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/Research-Assistant-%28Urban-Intelligence-&-Policy-Analyst%29/33289-en_GB/

We regret that only shortlisted candidates will be notified.

Job Description

NUS Cities is a university-wide, interdisciplinary entity hosted within the College of Design and Engineering, serving as an open and inclusive collaborative platform spanning Education, Research, and Advisory Services.

This role focuses primarily on the urban planning, qualitative research, and policy translation components of NUS Cities' ongoing projects, helping ensure that research outputs are grounded in real-world planning contexts and communicated effectively to planning practitioners and policymakers. The Research Analyst will also contribute to academic publications, helping advance and disseminate knowledge to the broader research community.

Key Responsibilities

• Support the integration of technical outputs with urban planning and policy context, ensuring insights align with real-world governance needs and planning workflows.
• Support the policy translation process — helping operationalise research outputs into formats suitable for decision-makers (e.g., slides, briefs, memos, workshop materials, and presentation narratives).
• Contribute to documentation, visualisations, and the writing of reports and publications, with a strong focus on clarity, structure, and readability for both policymakers and academic audiences.
• Support other NUS Cities research and analysis activities, including contributing to engagements, knowledge products, and deliverables that connect research insights with practitioner and policy audiences.
• Support qualitative research activities, such as synthesising practitioner needs, summarising stakeholder feedback, drafting case studies, and translating technical outputs into clear planning narratives.
• Assist in designing and validating use cases for the technical framework (e.g., built environment and residents' well-being analysis; estate management and operational efficiency), with emphasis on framing, interpretation, and real-world relevance.

Qualifications

• Bachelor's or Master's degree in Urban Planning, Public Policy, Social Sciences, Geography, Urban Studies, or a closely related field.
• Strong organisation and project coordination skills, with the ability to manage multiple workstreams, timelines, and stakeholder touchpoints.
• Excellent writing and presentation skills, including the ability to produce clear, well-structured slides, briefs, summaries, and stakeholder-facing materials.
• Resourceful and analytical, with good communication skills; able to work independently while collaborating effectively with interdisciplinary teams of planners, social scientists, and technical researchers.
• Keen interest in working with AI tools and prompt engineering to support research, synthesis, and knowledge production workflows.

Preferred
• Familiarity with Singapore's urban governance landscape (e.g., URA, HDB, BCA, LTA, MND) is a strong advantage.
• Demonstrated experience in qualitative research and synthesis (e.g., interviews, thematic analysis, sensemaking, narrative development, stakeholder needs analysis).
• Familiarity with geospatial tools (e.g., QGIS/ArcGIS/GeoPandas) and/or data analysis in Python.

Application Procedure

Interested applicants should submit a dossier consisting of the following to the NUS career portal:

• A cover letter (maximum 3 pages)
• Up-to-date CV
• A statement describing their research trajectory, interests and career ambitions
• Contact details for three referees. Only short-listed applicants will be invited to submit reference letters.

We will begin evaluating candidates immediately, but the position will remain open until a suitable candidate is found. Further enquiries should be sent to mzyeric@nus.edu.sg (please indicate “Research Assistant (Urban Intelligence & Policy Analyst) Application” as the subject heading).

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/Research-Assistant-%28Multifunctional-Metamaterials%29/33292-en_GB/

We regret that only shortlisted candidates will be notified.

Job Description

The Sustainable and Multifunctional Metamaterials for Industrial Technologies (SUMMIT) Research Group (led by Dr. James Utama Surjadi) is seeking a highly motivated Research Assistant to assist projects in the development of next-generation mechanical metamaterials. Our group sits at the intersection of mechanics, materials science, and advanced manufacturing. We aim to create multifunctional systems that maintain high performance under extreme conditions, utilizing an innovation pipeline that spans AI-driven design to multiscale characterization.

Key Responsibilities:

• Research Execution: Assist research in one or more of our core areas: multifunctional metamaterials, adaptive/tough metamaterials, sustainable nanomanufacturing, or AI-driven materials optimization.
• Computational Modeling: Utilize Finite Element Modeling (FEM), molecular dynamics, density functional theory, and AI/Machine Learning frameworks to predict and optimize the behavior of complex metamaterial architectures.
• Fabrication & Characterization: Fabricate samples and perform multiscale mechanical testing under coupled thermal and electrical environments.
• Dissemination: Prepare high-impact manuscripts for peer-reviewed journals, patents, and present research at international conferences.

Qualifications

• Bachelors or Masters in Mechanical Engineering, Materials Science, Robotics, Electrical and Electronic Engineering, Chemistry, Applied Physics, or related fields

• Interest or experience in mechanical metamaterials, multiscale and multiphysics simulation, mechanics of materials, additive manufacturing, micro/nanofabrication, finite element modeling, AI-driven design, material synthesis, nanomechanics, or experimental characterization

• Highly motivated, collaborative, and able to work in an interdisciplinary research environment

• Good communication skills in English (spoken and written) – for the purpose of presenting research findings in meetings and preparing research progress reports.

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/Research-Fellow-%28Clinical-Trials-Healthy-Longevity%29/33298-en_GB/?st=A1FF22A70BA3AECE7FA2ACD13E1B17FB6063EFAD

We regret that only shortlisted candidates will be notified.

Job Description

The National University of Singapore, Yong Loo Lin School of Medicine, NUS Academy for Healthy Longevity seeks an experienced and dynamic individual to be a (Senior) Research Fellow within Prof. Maier's research group. This position will lead the research and support team that conducts clinical trials and manages day-to-day operations.

Key Responsibilities

Clinical Trial Innovation and Excellence

• Development of innovative clinical trial protocols testing geroprotectors
• Introduction and improvement of biological, clinical, and digital biomarkers of ageing into clinical trial protocols
• Evaluation and validation of new assessment methods for implementation in clinical studies
• Contribute to the establishment of global standards for gerotherapeutic trials and international clinical trial networks

Clinical Trial Operations

• Oversee the execution of clinical trials, ensuring adherence to protocols, standard operating procedures (SOPs), and good clinical practice (GCP)
• Supervise the recruitment, scheduling, and management of research participants
• Supervise the collection and maintenance of clinical trial documentation, including data records and equipment maintenance logs
• Ensure compliance with clinical inventory management procedures
• Develop and implement policies and procedures to streamline operations and maintain compliance with regulatory standards

Team Leadership and Management

• Provide effective leadership and guidance to the research team, fostering a collaborative and high-performing work environment
• Oversee the allocation and management of workloads, ensuring efficient utilisation of resources
• Identify training needs and facilitate the professional development of team members
• Build and nurture a positive team culture that promotes excellence, innovation, and continuous improvement

Funding and Resource Acquisition

• Identify and pursue relevant grant opportunities from government agencies, foundations, and other funding bodies
• Oversee the preparation of high-quality grant proposals and funding applications, ensuring alignment with funder requirements and research objectives

Qualifications

• Master's or PhD in Medicine, Nursing, Allied Health, Life Sciences, or a related field
• Fascination for the ageing process and experience in observational and intervention studies in humans
• Proven leadership and team management skills, with experience in supervisory or administrative roles
• Excellent communication and interpersonal abilities, with the ability to collaborate effectively with participants, staff, and external stakeholders
• Familiarity with clinical research protocols, standard operating procedures, and good clinical practice
• Strong organisational and problem-solving skills, with meticulous attention to detail
• Ability to work independently and as part of a team in a dynamic and fast-paced environment

The successful candidate will be pivotal in advancing the National University of Singapore's geroscience research initiatives and translating healthy longevity research into practical applications. This position offers an exciting opportunity to contribute to research while developing leadership skills and driving operational excellence.

Tanglin Mission

Tanglin Trust School Singapore has a long tradition of providing British-based learning with an international perspective. At Tanglin we strive to make every individual feel valued, happy and successful. Responsibility, enthusiasm and participation are actively encouraged and integrity is prized. Working together in a safe, caring yet stimulating environment, we set high expectations whilst offering strong support, resulting in a community of lifelong learners who can contribute with confidence to our world.

Our Vision

We aspire to be the best school in the world with a dynamic learning community which nurtures and inspires every individual to be the best they can be. Our core values of Respect, Responsibility and Purpose are at the heart of everything we do across the school.

The Role

We are seeking to appoint an exemplary Class Teacher to cover maternity in our Junior School for an Academic Year. The successful candidate should preferably be able to start from August/September 2026. This is an exciting opportunity for a passionate educator to inspire and nurture young learners while contributing to a supportive and dynamic school community.

The successful candidate will demonstrate a flair for excellence in teaching and learning, alongside a strong commitment to developing the whole child through high-quality pastoral care. You will play a key role in delivering an engaging and enriching curriculum, contributing to ongoing school and curriculum development, and participating fully in the extra-curricular life of the Junior School.

Our hardworking teachers are dedicated professionals who are willing to go above and beyond for their pupils. They thrive in a collaborative environment, working closely with colleagues to share best practice and continually enhance the student experience.
The contract will be on local terms.

Key Responsibilities

Teaching & Learning

• Manage an effective, orderly and safe learning environment.
• Plan and deliver a curriculum for the class according to the agreed termly plan, and in accordance with the agreed principles and practice of timetabling of the year group and the school, as laid down in the Staff Handbook; differentiate that delivery according to the abilities and learning strategies of individual students.

Planning & Development

• Contribute as a team member to the planning of the annual and termly curriculum for the year group according to the school’s published schemes of work in each subject.
• Contribute to the planning and implementation of curricular and other initiatives according to the School’s Calendar.
• Contribute to the maintenance and development of the curriculum by being a member of a vertical curriculum team across Key Stages One and Two.
• Participate in the Review and Development process to personalise professional learning and maintain an accurate and up to date record of all Professional Development opportunities.
• Take part in relevant development activities to enhance ongoing professional skills, knowledge and understanding including professional reflection and evaluation.
• Demonstrate a commitment to professional development, by using up to 1 hour of PPA time per term to peer observe colleagues and share good practice, providing HOY/HOLS with a written professional reflection.
• Support colleagues in developing their professional practice within class/unit.
• Support colleagues in the Review and Development and Performance Management processes with TLAs and STLAs in accordance with the agreed school procedures.

Assessment, Recording & Reporting

• Keep detailed records of plans, and of achievements of individual students; developing, in conjunction with the year group, standardised forms of assessment and record keeping.
• Report to parents in accordance with the school’s reporting policy as laid down in the Staff Handbook.

Communication & Liaison

• Follow the School’s policies and procedures with regard to discipline and behaviour, daily routines, duties, homework, leave of absence, and field study trips, as laid down in the Staff Handbook.
• Fulfill supervision role during lunches and break times.
• Participate in Co-Curricular Activities (CCAs) across the school at a level agreed with the Head of Junior School.
• Embrace and lead on the school’s commitment to creating a diverse and inclusive environment.
• Be responsible for reporting any concerns about a child to the Designated Safeguarding Lead.

Tanglin Trust School believes that each employee makes a valuable and significant contribution to our success and that contributions should not be limited to the assigned responsibilities below. This job description is designed to outline primary responsibilities but not limit the employee, nor Tanglin Trust School, to only the duties identified. It is the expectation of the School that each employee will offer his/her services wherever and whenever necessary to ensure the success of our organisation.

The school is committed to safeguarding and promoting the welfare of children and young people and expects all staff and volunteers to share this commitment. The successful candidate will be required to provide an Enhanced DBS disclosure certificate, or equivalent.

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

NUS Career Portal link: https://careers.nus.edu.sg/job/Research-Engineer-%28Robotics%29/33299-en_GB/

We regret that only shortlisted candidates will be notified.

Job Description

•             Robot design.

The candidate is expected to assist in the design, fabrication, and testing of a novel robotic system based on application-related specifications.

•             Robot experiments.

The candidate is expected to support the definition of experimental protocols, in terms of trials and parameters to measure, to help with the experimental set-up, experimental validation, performance testing, and iterative improvements of developed prototypes and with the recording and analysis of experimental results.

•             Collaborate with cross-functional teams to integrate mechanical, electrical, and software components into functional robotic systems.

•             Support applied projects in collaboration with industrial partners and contribute to technology transfer efforts.

•             Present research findings at international workshops, conferences, and internal project meetings.

•             Contribute to the preparation of technical reports and assist in writing articles for publication in top-tier journals and conferences.

Qualifications

•             Mechanical Engineering degree

•             Robotics expertise: knowledge of robotics and soft robotics fundamentals, skills for robot design.

•             Research experience, even as a student, including skills for experimental research and paper preparation.

•             Hands-on experience in robotics, soft robotics, or interactive systems.

•             Proficiency in CAD software, prototyping, and mechatronics.

•             Ability to work collaboratively in a multidisciplinary team environment.

•             Strong problem-solving skills and creativity.

Job Summary:

We are looking for a resourceful individual to support the teacher or unit in the teaching process in order to attain educational excellence.

The applicant must demonstrate a positive attitude towards the teaching process. He / She must be able to communicate, liaise and develop sound relationships with children, teachers, parents and colleagues to enhance the teaching process.

Requirements:

• Diploma in Preschool Education or equivalent
• Experience of working with children
• Experience working in an International School environment will be an added advantage.
• Good interpersonal communication skills/human relations
• Good command of written and spoken English Language

5-day week – working hours are from 7.30 am to 3.45 pm. School holidays entitlement. Interested applicants, please submit an application letter and detailed resume, stating your current and expected salary, date of availability and contact number via the online system at https://careers.tts.edu.sg/careerportal/main.aspx. In your application, please provide the names and addresses of three people from whom confidential references may be obtained. Please indicate their professional relationship to you.

You can contact the HR department at hr.recruit@tts.edu.sg for any enquiries regarding the role.
Please submit your applications via the school's application link: https://tts.skoolspotrecruit.com/job/1031921/teaching-learning-assistant-junior-school

We reserve the right appoint at any stage of the recruitment process and to close this vacancy earlier if we receive sufficient applications for the role. Therefore, if you are interested, please submit your application as early as possible.

The school is committed to safeguarding and promoting the welfare of children and young people and expects all staff and volunteers to share this commitment. The successful candidate will be required to provide an Enhanced DBS disclosure certificate.

(Only shortlisted applicants will be notified)

CPE Registration No.: 196100114C | Period of Registration: 7 June 2023 to 6 June 2029