Total 213 technical support engineer job vacancies in Education / Training category

Implicant Pte. Ltd. is a Singapore deep-tech spin-off from NTU SPMS. We build machine learning models that are interpretable by design and run on encrypted data using fully homomorphic encryption (FHE). We are building a managed cloud platform for FHE-protected interpretable model training and inference, targeting financial services, defense, healthcare, and clinical analytics.

Key Responsibilities:

• Build and ship features across the Implicant platform end-to-end, from database migration through API to frontend, with no handoffs.

• Extend the training and inference platform (data ingestion, training jobs, Pareto frontier analysis, rule extraction, distillation pipelines).

• Maintain and grow the customer-facing dashboard (inference page, model catalogue, billing).

• Co-build the external API and Python SDK alongside the current full-stack lead.

• Implement the FHE bootstrap key onboarding flow for clients running encrypted inference.

• Wire Stripe billing and metering into the platform.

• Own backend workflows for training jobs and asynchronous compute (FastAPI with Temporal-style orchestration).

• Contribute to platform security and reliability (row-level security, authentication, audit logging).

Job Requirements:

• Bachelor's degree in Computer Science, Software Engineering, or a related field.

• 4 years of relevant experience

• Proven experience as full-stack engineer

• Effective communication and interpersonal skills to collaborate with other engineers.

• At least 3 years of full-stack experience shipping customer-facing software end-to-end.

• Strong working knowledge of Python with FastAPI (or similar) and TypeScript with a modern frontend framework (Svelte preferred; React or Vue acceptable).

• Production experience with PostgreSQL, including row-level security.

• Good understanding of Machine Learning (architecture principles and ML librairies)

• ML-literate: comfortable reading scikit-learn and PyTorch code and working with tabular machine learning workflows.

• Comfortable in a small team with direct ownership and minimal process overhead.

• Based in Singapore or willing to relocate.

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/Assistant-Manager%2C-Contracts-&-Admin-Management/33092-en_GB/

We regret that only shortlisted candidates will be notified.

Job Description

The candidate will be responsible for developing printable inks based on natural material-derived precursors, such as natural materials-derived calcium phosphate, or related biomineral materials. The work will involve optimizing ink rheology, printability, shape fidelity, and structural stability for extrusion-based 3D printing. The candidate will also design and fabricate porous scaffold architectures with controlled pore size, porosity, and interconnectivity, while optimizing printing parameters such as nozzle size, extrusion pressure, printing speed, and layer height.

A key part of the project will involve post-processing and material conversion of the printed constructs. The candidate will develop and optimize sintering or thermal treatment protocols to convert printed structures into bone-relevant ceramic phases. Through this process, the candidate will help tune the phase composition and mechanical performance of the scaffolds, with the goal of producing reproducible and scalable bone implant prototypes.

Qualifications

•             Bachelor’s degree in mechanical engineering, materials science, or a related field

•             Demonstrated experience in material characterization

•             Team player, able to work collaboratively in a team environment

Research assistant in “Quantum computing engineer”

The Nanyang Quantum Solutions team led by Prof. Marek Gluza at NTU Singapore is seeking a new member to propose new quantum algorithmic solutions based on Riemannian geometry.

With whom? With Prof. Marek Gluza at NTU Singapore who is eager to debate with you whether double-bracket quantum algorithms or a different approach are the right one when executing on Helios or Heron. The research group is being formed and see https://marekgluza.github.io/ for the intended culture centered on the idea of serving experimental efforts through theoretical support developing quantum middleware solutions.

Key Responsibilities:

• Perform quantum compilation optimizing towards successful execution on quantum hardware.

• Support research on quantum algorithms by performing auxiliary data processing tasks.

• Analyze prospects of new research directions

Job Requirements:

• Bachelor's degree in mathematics, physics, computer science or related field

• At least 1 years of relevant experiences in research on quantum computing, e.g. final year project

• Excellent written and oral communication skills

• Proficiency in material covered by Nielsen and Chuang’s textbook

• Ability to work independently, develop solutions under strict timelines, meticulous and eye for details, excellent organizational and time management skills.

Supplementing a cover letter: As part of our merit-based hiring, we recognize that potential isn’t always reflected in traditional metrics. We invite all applicants to contextualize their journey in a personally written cover letter. This helps us evaluate your prospective potential alongside your existing abilities; see the guide for applicants for more information. Applicants from underrepresented groups or those from countries affected by crises are particularly encouraged to provide one (please do not rely on AI to generate it).

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

Research assistant in “Quantum sensing engineer”

The Nanyang Quantum Solutions team led by Prof. Marek Gluza at NTU Singapore is seeking a new member to propose new engineering solutions for table top setup prototyping the translation of dynamic quantum algorithms such as double-bracket algorithmic cooling to applications in quantum sensing using NV centers.

With whom? With Prof. Marek Gluza at NTU Singapore who is eager to debate with you whether NMR-type readout will be sufficient for the technological applications we have in mind. The research group is being formed and see https://marekgluza.github.io/ for the intended culture centered on the idea of serving experimental efforts through theoretical support developing quantum middleware solutions.

Key Responsibilities:

• Propose feasibility and cost analysis of a table top NV center readout setup using commercially available lasers and microwave resonators.

• Propose readout solutions and techniques for quantum sensor use in material science fabrication pipelines.

• Translate dynamic quantum algorithms such as double-bracket agorithmic cooling into actionable protocols in NV center ensembles.

Job Requirements:

• Bachelor's degree in mathematics, physics, computer science or related field

• Knowledge in engineering, e.g. laser, mechanical or electrical engineering

• Excellent written and oral communication skills

• Proficiency in Ansys and related packages

• Ability to work independently, develop solutions under strict timelines, meticulous and eye for details, excellent organizational and time management skills.

Supplementing a cover letter: As part of our merit-based hiring, we recognize that potential isn’t always reflected in traditional metrics. We invite all applicants to contextualize their journey in a personally written cover letter. This helps us evaluate your prospective potential alongside your existing abilities; see the guide for applicants for more information. Applicants from underrepresented groups or those from countries affected by crises are particularly encouraged to provide one (please do not rely on AI to generate it).

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

New Product Development

• Proceeds development according to implement plan
• Makes functional specification
• Proceeds electrical, or firmware design
• Plans and proceeds prototype model evaluation and prepare evaluation to reports.

Re-design of Products

• Supports Lead Engineer to estimate return and investment.
• Proceed re-design according to implementation plan.
• Proceeds electrical, mechanical or firmware design.
• Plans and proceeds prototype model evaluation and prepare evaluation report.
• Makes up product manufacturing standard.

Technical Support

• Prepares technical information for parts localize and price negotiation.
• Supports production line if necessary according to superior’s direction.
• Supports parts faculty/investigation according to superior’s direction.

Requirements:

• Bachelor of Mechanical Engineering
• Experience in analog or digital electrical hardware design.
  Prefer 2-3 years of relevant experience.

Electronics Manufacturing Industry

East/Bedok

5 days work week

Interested Applicants, kindly email your detailed resume via email to hr@tempserv.com.sg

Tempserv Pte Ltd

License No: 06C3745

Tel: 62226441

Attention: Audris Teo / EA Personnel No: R1102063

ABOUT THE NATIONAL INSTITUTE OF EDUCATION (NIE)

The National Institute of Education (NIE), Singapore, is Singapore’s national teacher education institute, and we are proud to be an integral part of the nation’s education service. We play a key role in the preparation of teachers and in the provision of teacher professional and school leadership development programmes. We are committed to our vision of being An Institute of Distinction: Leading the Future of Education, and our mission to Inspire Learning, Transform Teaching and Advance Research.

NIE invites suitable applications for the position of Unit Head, Research Support and Grants Management, Office for Research. The Research Support and Grants Management Unit manages pre and post award administration of internal and external research grants, enabling NIE faculty to secure research funding and administer grants effectively in compliance with funding and institutional requirements. The unit also oversees all Research Support functions in capacity building faculty staff. As the Unit Head of RSGM, you will lead a team overseeing research support, grants management and administration and play a key leadership role in providing strategic oversight and direction in strengthening institutional research capabilities and drive NIE’s strategic research agenda.

Responsibilities

• Provide strategic leadership and oversight of the Research Support and Grants Management Unit within the Office for Research.

• Work closely with the Dean, Associate Deans and Assistant Deans in strategic planning and implementation of research support and grants management initiatives.

• Ensure alignment of unit activities, processes and initiatives with NIE’s institutional priorities and research agenda.

• Bridge and integrate research support and grants management functions to ensure coherent and effective operations.

• Provide guidance and advisory support to team members on research support, grants administration and related operational matters.

• Liaise with academic departments, research centres, administrative units and external parties on grants-related matters.

• Oversee grants management compliance, audit readiness and adherence to funder and institutional guidelines.

• Prepare and present reports on grants matters, research funding and research support initiatives to senior management and stakeholders.

• Lead the planning, coordination and implementation of research support initiatives and capacity-building programmes.

• Represent the unit in roadshows, presentations and engagement sessions on research support initiatives.

• Work with academic departments to promote and implement research support programmes and related activities.

• Oversee the administration of Education Research Funding Programme (ERFP) and non-ERFP grant programmes.

• Coordinate research data management and governance matters where relevant.

• Drive process reviews and improvements, including the adoption of AI initiatives, to strengthen governance, operational efficiency and service delivery.

• Oversee and maintain standard operating procedures, ensuring workflows remain current and effective.

• Supervise, mentor and support the team to ensure operational excellence and strategic alignment.

• Plan team workload, support capacity building and promote continuous professional development.

• Support in any other duties, as assigned by the reporting officer.

Requirements

• A University Degree.

• Minimum 5 to 8 years of relevant experience in research administration, grants management, research support, policy coordination, or a similar administrative leadership role.

• Knowledge of audit, risk, and compliance frameworks related to grants and research administration.

• Strong analytical and problem-solving skills, with the ability to review processes and implement improvements.

• Excellent written and verbal communication skills, including the ability to prepare reports, briefs, presentations, and updates for senior management.

• A strong team lead who is highly motivated and also able to collaborate within and across teams.

• Strong interpersonal and relationship management skills.

• Integrity and discretion when handling confidential information.

• Proficient in using Microsoft Office applications and administrative systems relevant to grants or research operations.

Application 

We regret that only shortlisted candidates will be notified.

Other Information

NIE staff can take chartered buses at their own expense from or near their home to the NIE campus. This is subject to the availability of seats.

We are looking for a dedicated and enthusiastic individual to take on the role of providing essential learning support to students with hearing loss within mainstream Primary and Secondary school settings. If you are committed to empowering Deaf and Hard-of-hearing students, enabling them to succeed not only in school but also within the wider community, this role is for you.

An established charity with a deep history and a refreshed desire for impact, The Singapore Association for the Deaf works towards a Singapore where the deaf have equitable opportunities and access to fully participate in and contribute to a robust and thriving community. Your efforts will directly contribute to Singapore being a more inclusive society.

We offer:

• Flexible work arrangements
• Competitive salaries
• Generous leave
• 5-day work week
• A nurturing & supportive environment
• Rewarding work

Key Responsibilities:

1. Provide one-on-one literacy support to students with hearing loss in mainstream primary and secondary schools.
2. Regularly assess and monitor each student’s progress according to their individual needs, and keep records of their performance.
3. Liaise and work closely with school personnel, parents and other stakeholders.
4. Maintain accurate records of student progress and intervention outcomes in alignment with the funders' and organisational guidelines.
5. Support reviews of Learning Support SOPs, and recommend process improvements.
6. Assist in planning and facilitating workshops or outreach sessions for schools, parents, and the community.
7. Collaborate with the Itinerant Support Team to achieve performance targets and uphold service standards.
8. Support audit processes and prepare data or evidence for reporting purposes.
9. Attend training, including Singapore Sign Language (SgSL) beyond Level 1.

To succeed in this role, you should have:

1. Minimum 2 years of experience delivering literacy intervention or supporting students aged 7 or above with learning difficulties in schools/learning centres. Prior experience working with students with hearing loss is welcome but not essential.
2. Diploma in any field with GCE ‘O’ level passes (Min C6 and above) in English and Mathematics
3. Meticulous and good time management skills
4. Good communication and interpersonal skills
5. Selected candidates must:
   1. Apply for the Instructor Registration Scheme (IRS) with MOE
   2. Use SgSL to communicate with clients

We regret 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.

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

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

You will be part of a dynamic research team working on topics relevant to Electrification, Grids Testing and Certification based at the Electrification and Power Grids Centre (EPGC). The Testing & Certification team focuses on establishing capabilities and physical test setups to support emerging industry requirements for testing and verification of energy related applications such as energy storage systems (ESS), microgrid solutions, photovoltaic (PV) inverters, electric vehicle (EV) charging systems, and AI data centers.  This position is to recruit a member of the research team to work on a project on microgrid cybersecurity and digital twins.

Key Responsibilities:

• You will need to actively support R&D projects at EPGC in terms of project development, testing and verification/validation activities, test logistics planning/coordination, and sourcing and procurement.

• The role will include the following:

  • Assist in development of digital twins of power system networks, control/energy management systems and DERs such as ESS, PV and EV chargers.

  • Perform testing of microgrid solution and/or power system network using real-time simulation platform.

  • Familiarization of test standards for microgrids, ESS and EV charging; understanding of existing test procedures and processes.

  • Hands-on setup of test instrumentation; conducting tests on actual equipment-under-test.

  • Prepare project reports, minutes of meetings and documentation.

  • Work closely with industry partners to realize synergies in testbeds, testing and demonstration.

  • Engage stakeholders at management and working levels internally as well as with external funding agencies, collaborators and industry partners.

  • Assist in authoring of technical publications for completed or ongoing research projects.

  • Host visits and presentations at test facility.

• You will also be responsible for daily operations of the EPGC facilities, including the following:

  • Lead in test planning/coordination activities at EPGC facility or collaborators’ locations.

  • Work with vendors/suppliers/contractors to ensure operational condition of test equipment/systems.

  • Perform safety and quality assessments, periodic operation and inspection tasks related to test setups.

  • Sourcing and procurement of project/facility consumables.

• You will be an integral part of the Testing & Certification team and will need to participate in project discussions especially related to project implementation details.

• Familiarity with electrical and power systems, energy storage systems, EV charging systems, test & measurement instruments, sensors/sensor networks, and PLC systems is preferred.

• Prior experience in OPAL RT simulation platform would be advantageous.

Job Requirements:

• Master’s degree in engineering (e.g. Electrical, Power Systems, or Clean/Renewable Energy related) with minimum 2 years’ relevant experience (preferred).

• Proficient in OPAL RT, MATLAB, familiarity with microgrid/ESS/EVSE technical standards, and cybersecurity technical standards preferred.

• Proficient in MS Office applications.

• Should be a very hands-on person, willing to take on non-routine tasks.

• Possess good communication (written and verbal) skills. Able to manage multiple stakeholders and work under tight timelines.

• Positive attitude, ability to work independently as well as in a team.

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

COMPANY DESCRIPTION

Singapore Management University is a place where high-level professionalism blends together with a healthy informality. The 'family-like' atmosphere among the SMU community fosters a culture where employees work, plan, organise and play together - building a strong collegiality and morale within the university.

Our commitment to attract and retain talent is ongoing. We offer attractive benefits and welfare, competitive compensation packages, and generous professional development opportunities - all to meet the work-life needs of our staff. No wonder, then, that SMU continues to be given numerous awards and recognition for its human resource excellence.

RESPONSIBILITIES

• This position is for School of Computing and Information Systems (SCIS).
• Design and implement AI for software engineering solutions.
• Conduct evaluations and/or user studies to validate the effectiveness of the algorithms and tools,.
• Write and publish research papers and present them to reputable academic conferencesd.
• Package the documents, implementation code, evaluation results of the project for public release.
• Liaise with other team members of this project to realize the overall goal of the project.
• Other duties as assigned.

• Minimum Bachelor degree in Information Systems / Computer Science / Information Technology / Security /Informatics Engineering / Software Engineering.
• Publication of at least a first-authored paper in a top AI or software engineering or cybersecurity conferences/journals (CORE A*).
• Excellent knowledge about software engineering and artificial intelligence.
• Highly fluent in Python and Java.
• Competent in designing and implementing algorithms and data structures.
• Excellent oral and written communication skills.
• Excellent analytical, technical and problem-solving skills.
• Self-motivated individual who can work independently and also collaboratively with team members.
• Able to work under strict deadlines.
• Research capability as evidenced by tangible deliverable i.e., at least a first-authored paper in CORE A*conference / journal in the field of AI or software engineering or cybersecurity.

#LI-JN2

The Future Communications Translation Lab (FCTLab) at the Singapore Institute of Technology (SIT) is seeking a motivated candidate who is keen on both rigorous research and the practical application of 5G and future communication technologies. As part of the research team, you will collaborate with faculty and industry partners to drive innovation in 5G systems and their real-world use cases. Equipped with private 5G testbeds and advanced test and measurement instruments, FCTLab provides an ideal environment to develop, validate, and refine next-generation communication technologies while accelerating their translation into impactful and industry-ready solutions. As a 5G Systems Research Engineer/Fellow, you will design, operate, and optimize the lab’s 5G infrastructure and support experimental studies that advance new 5G features and use cases.

Key Responsibilities

• Operate and maintain FCTLab’s 5G infrastructure, including O-RAN testbed, traditional RAN testbed, and open-source 5G testbeds.
• Design and execute experiments to evaluate 5G systems and use-case performance through simulations, emulations, physical testbeds, and commercial networks. Collect and analyze KPIs such as throughput, latency, and reliability, and fine-tune network parameters to meet diverse QoS requirements.
• Prototype and validate advanced 5G features such as network slicing, MEC and xApp/rApp. Contribute to the development of innovative solutions and algorithms to enhance 5G network capabilities.
• Work closely with the Principal Investigator (PI), Co-PI, faculty and research team to plan, track, and deliver project milestones. Collaborate with industry partners to support real-world trials and joint research initiatives.
• Prepare technical reports and publications. Provide training and guidance to students and other researchers on 5G testbed operation, integration and performance testing.

Job Requirements

• Bachelor’s, master's or Ph.D. in Electrical and Computer Engineering, Computer Science or related field.
• Solid understanding of wireless communications and networking, including 5G systems, open RAN, and network slicing.
• Hands-on experience in deploying, configuring, testing and optimizing 5G systems is preferred.
• Experience in developing xApps and rApps is an advantage.
• Proficiency in Linux system administration, virtualization (Docker/Kubernetes), and scripting (Python, Bash).
• Strong programming skills in Python or C++.
• Excellent analytical, technical, and problem-solving skills.
• Strong communication skills and technical writing for reports and publications.
• Self-motivated, team-oriented, and able to work independently with minimal supervision.

Key Competencies

• Able to build and maintain strong working relationships with people within and external to the university.
• Self-directed learner who believes in continuous learning and development
• Proficient in technical writing and presentation
• Possess strong analytical and critical thinking skills
• Show strong initiative and take ownership of work

Job Description

Be part of an exciting FAB Operations Team working on cutting-edge process technologies.

Job Responsibilities:

• Looking for reliable individual - Operate multiple type of semiconductor equipment in cleanroom environment.
• Ability to use computer-based programs and applications to perform daily work/duties.
• Operate equipment based on the required process specifications (e.g. procedures, change notifications, etc.).
• Participate actively and be responsible in assigned on-the-job assignments and other required trainings when requested. Provide machine operations coverage and backup supports when necessary.
• Adequate understanding of the Equipment in-charge, monitor performance, timely communication with Engineers-in-charge to perform equipment errors recovery promptly when necessary.
• Demonstrate excellent teamwork to promptly execute process sequences and data collections if required.
• Always follow safety protocols & rules in the Clean Room.
• Ensure 6S in the work environment and promptly report hazards/ suspicious/ abnormal activities or personnel if any identified.
• Address potential areas for improvements such as wafers processing cycle time, Equipment utilization, Safety/ Compliances, and cost savings.

Job Requirements:

• Diploma/Degree in MicroElectronics/Electrical/Mechanical/Chemical Engineering or equivalent.
• Understanding on semiconductor process - at least 1-3 years of experience in semiconductor processes (Photolithography, Dry/Wet Etch/Cleans, ThinFilms, Diffusions, Chemical mechanical Polishings, Metrology etc.)
• Must be a self-starter, dependable and highly motivated.
  
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  Registration No: R1327268
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Role

As a Deep Learning Engineer, you will apply your strong skills in software engineering, deep learning, 3D computer vision to implement, optimize and deploy the perception capabilities for industrial robots. You will be instrumental in developing advanced AI models for tasks such as transformer based foundation models for object detection, object pose estimation, 3D reconstruction, and grasping. Your work will enable robots to intelligently interact with their environment in real-world industrial settings, translating cutting-edge deep learning research into robust, deployable solutions that make industrial robotics more intelligent and accessible.

How your work moves the mission forward

• Develop and implement robust deep learning models for 3D computer vision tasks, including object detection, object pose estimation, and 3D reconstruction.
• Optimize and deploy algorithms for reliable grasping and manipulation in complex industrial robotics environments.
• Translate advanced deep learning research and models into practical, production-ready solutions for physical robots.
• Enhance robot perception capabilities, enabling more complex and reliable interactions in dynamic manufacturing settings.
• Contribute to the design and implementation of core perception software skills within Intrinsic's platform.

Skills you will need to be successful

• A Master’s or PhD degree in Computer Science, Electrical Engineering, Robotics, or a closely related technical field.
• 1-3 years of experience in AI, machine learning, computer vision, or robotics, with a strong focus on deep learning, including transformer based models.
• Demonstrated experience with deploying deep learning models in production, along with at least one of the following topics: object detection, 6dof pose estimation, or 3D reconstruction.
• Proficiency in at least one modern deep learning framework (e.g., PyTorch, TensorFlow, JAX).
• Strong programming skills in Python and C++.

Skills that will differentiate your candidacy

• Expertise in transformer-based deep learning architectures for computer vision and robotics.
• Experience with optimizing or quantizing ML models for deployment
• Experience developing algorithms for robotic perception, grasping and/or manipulation.
• Proficiency in CUDA for high-performance computing.

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-Engineer-%28Digital-Concrete%29/32503-en_GB/

We regret that only shortlisted candidates will be notified.

Job Description

The Department of Civil & Environmental Engineering (CEE) of the National University of Singapore is hiring one Research Engineer (RE) to assist the Principal Investigator in the research area of digital concrete with a focus on the design, printing, testing. 
 

The selected RE is required to work on 
•    Development of durable construction materials from locally available resources for marine applications.
•    Assessment of environmental impact of the developed concrete mixture.
•    Evaluation of the service life of the developed durable concrete mixture. 

Job Requirements

•    Possess a bachelor’s degree in civil engineering or mechanical engineering with demonstrated experience in designing and conducting experiments, statistical data analysis and possess excellent quantitative, and analytical skills. 
•    The ideal candidate is expected to be self-motivated and can work in an interdisciplinary environment.
•    Has the ability to work with minimal supervision, plan and perform experimental and field work, and present results in group meetings.
•    Due to an international working environment, strong written and spoken communications skills will be required. 
•    Prior experience in digital concrete, design, low-carbon concrete is essential to the posted job.  
•    Applications should include (i) a motivation letter, (ii) a detailed Curriculum Vitae, and (iii) contacts of 3 referees. Only shortlisted applicants will be contacted.
•    Open to fixed-term contract

As an educator specialist with learning support, you play a vital role in providing early intervention to children, helping them thrive in their learning and development.

• Observe and assess children's needs and evaluate on their progress
• Prepare individual lesson plans for each child who needs learning support
• Conduct lesson with activity that focus on learning domains
• Provide support and share strategies with educators
• Lead training session for educators and parents to enhance learning for the children
• Collaborate with parents and teachers to support development milestone
• Evaluate developmental screenings and learning outcomes
• Build and maintain partnerships with agencies, hospital and therapy centers

Job Requirements:

• Specialist Diploma in Early Childhood Learning Support or equivalent
• Min 2 years experience in Early Childhood Industry and relevant working experience in early intervention

Check out www.abercare.sg for more details.

Interested applicants may send in your resume to career@abercare.sg

Abercare.sg | EA License No. 18C9070 | KOH SU WEN, CLARISSA| Registration No. R24119504