Total 5,383 Education / Training job vacancies

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

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-Manager-%28Research-Finance-Business-Partner%29/32443-en_GB/

We regret that only shortlisted candidates will be notified.

About Us

Join the National University of Singapore (NUS) Finance Team – Where Innovation Meets Excellence

At NUS, the Office of Finance stands as a dynamic and strategic partner, driving financial sustainability and operational excellence. Our team plays a crucial role in overseeing financial planning, optimising resources, and enabling the University’s ambition and innovation.

We are at the forefront of formulating, reviewing, and analysing the University’s operating, strategic, and capital budgets. Through strong governance, robust financial processes, and cutting-edge systems, we ensure every dollar is put to its best use, fueling research, education, and transformation.

Why Join Us?

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-%28ALD-Oxide-Semiconductor-&-Short-Channel-Transistors%29/32535-en_GB/

We regret that only shortlisted candidates will be notified.

Job Description

The Research Fellow will drive the development of atomic-layer-deposited (ALD) oxide semiconductor (OS) thin-film transistors and aggressively scaled short-channel OS devices for back-end-of-line (BEOL) integration with CMOS. Key responsibilities include:
•    Develop and optimize ALD processes for oxide semiconductor channel materials (e.g., IGZO, ITO, IZO) and BEOL-compatible gate dielectrics, including recipe development, precursor evaluation, and post-deposition treatments.
•    Design, fabricate, and characterize short-channel OS transistors targeting sub-100 nm channel lengths, with emphasis on contact engineering, access resistance reduction, and threshold voltage control.
•    Execute full process flows in the NUS cleanroom, including lithography, etch, deposition, and metallization; develop BEOL-compatible integration modules.
•    Perform electrical characterization (DC, pulsed I–V, low-frequency noise, TDDB/BTI reliability) and correlate device performance with process conditions and materials properties.
•    Prepare manuscripts for top-tier venues (IEDM, VLSI, Nature journals) and present results at international conferences.
•    Mentor graduate and undergraduate students, and assist with grant reporting and proposal preparation.

Qualifications

Essential:
•    PhD in Electrical Engineering, Materials Science, Applied Physics, Chemical Engineering, or a closely related field.
•    Hands-on cleanroom fabrication experience with thin-film transistors or advanced CMOS/BEOL process modules.
•    Demonstrated expertise in ALD process development, including familiarity with thermal and plasma-enhanced ALD tools, precursor chemistry, and in-situ/ex-situ film characterization.
•    Strong background in semiconductor device physics, transistor electrostatics, and short-channel effects.
•    Proficiency in electrical characterization of transistors (transfer/output curves, mobility extraction, subthreshold analysis, reliability testing).
•    Track record of first-author publications in reputable device/materials venues.
•    Ability to work independently and collaboratively in a multi-disciplinary team.
•    Open to fixed-term contract
Desirable:
•    Direct experience with oxide semiconductor (IGZO / ITO / IZO / CAAC-IGZO) device fabrication or ALD.
•    Experience with TCAD simulation (Sentaurus, Silvaco) or compact modeling.

Key Highlights: 

• 5 Work Days, 8.30am-5.30pm / 9am-6pm 

• Office Near to Kaki Bukit MRT, Singapore 

• Medical Benefits Provided 

• Entitled to Yearly Bonus & Performance Bonus 

Job Responsibilities: 

• Algorithm Development: Development and optimization of machine learning and deep learning algorithms to solve complex business problems. 

• Model Training and Evaluation: Participate in the construction and training of artificial intelligence models, including but not limited to neural networks, decision trees, etc., evaluate and optimize the models to improve their performance and accuracy. 

• Data Analysis and Preprocessing: Conduct data collection, cleaning, preprocessing and feature engineering, provide high-quality data for model training, and arrange and guide data labelers to carry out data labeling and other work. 

• Collaboration and Deployment: Collaborate with team members to integrate algorithm models into actual business systems, promote the implementation of projects, and realize the intelligent upgrading of products. 

• Research and Innovations: Stay up to date with the latest advancements in AI and ML technologies. Explore and deploy new technologies, drive innovations to create value to market needs, and enhance the company’s competitiveness. Audio and video algorithms for surveillance/monitoring applications which also include the research and implementation of algorithms involving target detection, feature extraction, tracking, and recognition. 

• Documentation and Reporting: Maintain comprehensive documentation of algorithms, experiments, and project workflows. Communicate results and findings to technical and non-technical stakeholders. 

Job Requirements: 

1. Bachelor's or Master's Degree in Computer Science, Applied Mathematics, Electrical Engineering, Pattern Recognition, Artificial Intelligence, Automatic Control, Operations Research, Biology, Physics / Quantum Computing, Neuroscience, Statistics or a related field. 

2. Familiar with common machine learning and deep learning algorithms and keeping track with the latest SOTA implementations. 

3. Strong programming skill in Python, C / C++, proficient in mathematical / statistical concepts and exceptional coding skills 

4. Hands-on experience with AI / ML frameworks be familiar such as Caffe, PyTorch, TensorFlow, MxNet etc. 

5. Have rich project experience in machine learning and deep learning, be familiar with common algorithm models, such as CNN, RNN, LSTM, Transformer, ViT, etc., and be able to improve and innovate models according to actual problems. 

6. Experience in familiar the design, parameter tuning and optimization methods of neural network models is a plus 

7. Experience in model compression and in the transplantation and optimization of deep learning forward inference on various platforms, including NPU / GPU / DSP / ARM on mobile platforms and CPU / GPU on server platforms is also a plus. 

8. Strong logical thinking and problem-solving ability, able to independently undertake the research and tackling of complex problems and team spirit are highly valued traits. 
   

   
   Reolink, a leader in intelligent visual technology for homes and businesses, was founded in 2009 by a group of engineers with a strong commitment to and passion for smarter security solutions. 

   Our products are now trusted by millions of users across more than 110 countries and regions worldwide. Building on this trust, we continue expanding our presence and bringing our innovations to more markets around the globe.  Reolink remains committed to delivering advanced, reliable, and user‑centric solutions that empower people to protect what matters most. 

About Singapore Corporate Counsel Association (SCCA):

• Leading voice for in-house counsel (IHC) in Singapore
• Poised to become the national association for IHC, providing a platform for professional development, networking & advocacy.

Key Responsibilities:

1. Programme Development & Support

• Plan, manage and support professional development programmes, ensuring they are impactful, engaging, and aligned with the training needs of the Singapore in-house community.
• Oversee the smooth execution of on-site and virtual events, providing administrative, logistics and technical support.

2. Marketing & Outreach

• Programme promotion through creative marketing initiatives, including the design of visuals and simple video content using Canva or similar tools, in consultation with the Marketing & Communications team
• Collaborate with the Marketing & Communications team to drive engagement and increase participation across SCCA’s professional development programmes, to ensure that projected numbers are met.
• Develop and manage knowledge management resources that are relevant to the professional development programmes.

3. Stakeholder & Member Engagement

• Main liaison for any query pertaining to SCCA’s professional development programmes, i.e. SCCA Members, public, sponsors, knowledge partners.
• Build positive relationships with participants, speakers, sponsors and knowledge partners to strengthen SCCA’s professional development ecosystem.

4. Programme Administration & Reporting

• Maintain accurate records, documentation, and database for all professional development programmes, including post-programme evaluation, budget planning and tracking, procurement, engagement with knowledge partners, sponsorship agreement.
• Prepare regular reports and statistics, including finance reports with basic analysis, to support decision-making and programme evaluation.

5. General Administration & Support

• Provide administrative and operational support as required, contributing to the overall efficiency and success of the Professional Development team.

Key Qualifications:

• Degree/Diploma in a related discipline.
• 2-5 years of relevant working experience in training, events, education, or professional development.
• Strong organisational skills with the ability to manage multiple projects.
• Excellent written and verbal communication skills.
• A self-motivated, resourceful, and detail-oriented team player.
• Familiarity with the legal industry or professional associations would be an advantage.

Skills & Competencies:

• Resilient, detail-oriented, problem solver, and a proactive team player with a cheerful disposition who enjoys interacting with people
• Strong collaboration and stakeholder management skills
• Able to multitask and independently accomplish assignments within lean timelines
• Proficient in Microsoft Office applications, particularly Microsoft Word, Excel and PowerPoint and design tools, such as Canva.

► This position is only open to Singaporeans and Singapore Permanent Residents.

► Interested applicants may apply by submitting their CV, expected salary and availability.

► Only shortlisted applicants will be notified.

Responsibilities

• Cultivate and establish new contacts and sales leads to meet sales targets.
• Ensure the achievement of monthly, quarterly, and annual quotas.
• Drive student enrollment numbers and activities, including campaigns (both offline and online), open houses, information sessions, and campus visits.
• Analyze competition and trends in the education sector to formulate effective sales strategies and initiatives.
• Take responsibility for meeting and exceeding sales targets aligned with the institution's core competencies.
• Ensure compliance with SSG regulations and strict adherence to the Institute’s rules and procedures.

Requirements

• Diploma/Degree with at least 1 years' relevant experience preferably in the PEI education industry
• Possess good assessment and experiences of education market
• Possess good knowledge of the private education industry in Singapore
• Possess good assessment and experiences of local cities education markets are a plus

We regret only shortlisted candidates will be contacted. All applications will be handled confidentially. By submitting your application, you agree to the collection, use, retention, and disclosure of your personal information to prospective employers.

EA License No: 20C0270

EA Personnel No: R22110981

EA Personnel Name: Law Mei Fong

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. The Privacy and Emotion Lab in WKWSCI is a research lab that conduct in-depth study about individuals’ usage.

The Research Fellow will support the research project that aims to design human-IoT communication that effectively motivates seniors to actively engage in self-directed health prevention, leading to improvements in their mental and physical well-being. Consequently, our project will primarily focus on relatively healthier seniors (aged 60 and above), who do not have serious health conditions requiring intensive medical treatment.

Key Responsibilities:

• Conduct literature reviews and working on research papers

• Lead in the conceptualisation and planning of research projects

• Lead in data gathering (including focus group discussions and surveys)

• Conduct data analyses of interview data and survey data

• Contribute activley to the writing of academic research manuscript

• Lead in the writing of reports

• Carry out administrative work associated with the program of research as necessary

Job Requirements:

• Graduated with a PhD degree in Communication Studies, Psychology or related field in the social sciences

• Prior experience in focus group interviews and surveys for social science research

• Ability to run standard statistical tests (e.g., using SPSS or Mplus for regression analysis and SEM, etc.)

• Knowledge of advanced statistical tests (e.g. moderation/mediation, hierarchical regression etc.) is preferred

• Good project management skills, with multi-tasking ability

• Academic writing skills

• A good publication track record evidenced by journal publications and conference presentations is preferred

• Applicants with 1+ years of work experience in social sciences research will be preferred. Entry level candidates are welcome to apply.

We regret that only shortlisted candidates will be notified.

Job Overview:

We are seeking a proactive and detail-oriented Project Operations Executive to support end-to-end operations for our learning content development projects. The ideal candidate will ensure seamless execution of project workflows, manage internal coordination, and maintain operational efficiency across all stages of content

creation—from planning to delivery.

The successful candidate will work closely with instructional designers, subject matter experts, editors, and multimedia teams to ensure that timelines, budgets, and quality standards are consistently met.

This role is perfect for someone who enjoys managing complex processes, solving problems, and contributing to impactful learning initiatives in an evolving educational or EdTech environment.

Key Responsibilities:

• Project Oversight

o Manage the day-to-day operations of projects in the maintenance phase, ensuring that SLAs and KPIs are met or exceeded.

• Project & Operational Oversight:

o Plan, organize, and monitor day-to-day operations of learning content development projects.

o Coordinate between cross-functional teams including designers, developers, and QA reviewers.

o Identify bottlenecks and implement process improvements to enhance efficiency and reduce turnaround time.

o Ensure compliance with internal policies, quality standards, and contractual obligations.

• Communication & Team Coordination:

o Act as the central point of contact between project leads, stakeholders, and external vendors.

o Schedule and lead regular team meetings, document minutes, and track action items.

o Support documentation needs such as status reports, dashboards, and project summaries.

o Facilitate problem-solving and conflict resolution at the team level.

Qualifications & Skills:

• Minimum Diploma in business administration, Operations Management, Education, or a related field.

• 2–5 years of experience in project coordination, operations management, or a similar role—preferably in education, publishing, or EdTech environments.

• Strong understanding of project life cycles and basic financial principles.

• Proficiency in Microsoft Office Suite

• Excellent organizational, analytical, and communication skills.

• Ability to multitask, prioritize, and meet deadlines in a fast-paced environment.

• Demonstrated leadership potential and ability to work collaboratively across teams

Preferred Qualifications:

• Experience managing content development workflows or editorial operations.

• Knowledge of e-learning platforms or LMS (Learning Management Systems).

• Understanding of instructional design principles or curriculum development processes.

• Singaporean ONLY (Candidates who have been security cleared in the past will have an added advantage.)

Working Location : Central

**We regret to inform that only shortlisted candidates will be notified. Personal data collected will be used for recruitment purposes**

Key Responsibilities:

• Develop and conduct high quality research independently, as a candidate is expected to have relevant experience in one or more of these areas (e.g. mice/rodent handling, optogenetics and behaviours, animal surgery and dissection, calcium imaging, gnotobiotic studies and microbiome analysis, etc).

• Lead, assist or learn in a dynamic range of projects and lab duties, including but not limited to molecular biology and histology procedures, microscopy, rodent behavioural assays, neuroscience optogenetic and chemogenetic techniques, functional recording and calcium imaging, mice surgery, data analysis and presentation, lab maintenance and office, academic and administrative tasks

• Mentor and collaborate with group members and other research teams

• Demonstrate him/herself exceptionally self-motivated, a team player

• Any other responsibilities as advised by the PI based on the evolving needs in the lab

Key Competencies and Educational Requirements:

• Hold a Diploma or Bachelor degree in Biology or relevant disciplines

• Have a keen interest in the lab’s research theme on the microbiome gut brain neuroscience

• Be proficient in relevant techniques described above

• Be highly motivated and conscientious

• Demonstrate her/his competencies and qualifications satisfactorily

• Work independently, and also have the ability to work effectively in a team

• Have good organisational, verbal and interpersonal skills

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

The Research Assistant will lead a project on Waste-to-Resource technologies, with primary responsibility for the design, construction, and commissioning of a pilot-scale thermal waste treatment facility. This role contributes directly to the University’s mission of advancing impactful, applied research by developing and demonstrating sustainable waste management solutions that support resource recovery, environmental stewardship, and the transition to a circular economy.

Key Responsibilities:

• Lead technology screening and evaluation to identify suitable thermal treatment processes (e.g. gasification, pyrolysis, combustion) for diverse solid waste streams, including municipal solid waste.

• Contribute to the end-to-end planning, detailed design, installation, commissioning, and operation of a pilot-scale thermochemical waste treatment facility, including hands-on engineering and troubleshooting.

• Work closely with the Principal Investigator (PI) and Co-PIs to develop and implement risk assessments, standard operating procedures (SOPs), and safety protocols, ensuring compliance with applicable regulations for construction and operation of the pilot facility.

• Investigate and evaluate options for energy recovery and electricity generation from the thermal waste treatment process (e.g. syngas utilization, heat recovery systems, gas engine applications).

• Support the identification, characterization, and evaluation of value-added applications for solid residues generated from thermal treatment processes (e.g. biochar, pyrolysis char, ashes), including potential reuse pathways and performance assessment.

Job Requirements:

• Bachelor's in Chemical Engineering, Environmental Engineering or closely related field

• Relevant hands-on experience (academic, pilot-scale, or industrial) in thermal waste treatment, process engineering, or related fields is an advantage

• Familiarity with best practices in waste management and state-of-the art technologies for solid waste treatment

• Strong foundation in thermodynamics, including mass and energy balance calculations and process performance analysis

• Experience or demonstrated ability in designing, building, commissioning, and testing pilot or demonstration-scale systems

• Competence in data and information visualization, including process flow diagrams, technical presentations, and performance reporting

• Ability to work independently and develop practical engineering solutions under tight timelines

• Strong written and oral communication skills, with the ability to convey complex technical concepts clearly

• Ability to collaborate effectively within an international, multidisciplinary team and across different time zones

• Proven ability to build rapport, influence technical and non-technical stakeholders, and work effectively in a fast-paced environment

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

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 require a part-time English teacher with outstanding subject knowledge and broad experience of teaching ages 11-18, with the ability to enthuse and inspire students, maximising achievement and progress at all levels. A colleague with commitment, integrity and excellent communication skills. A teacher with flexibility, resilience, and a caring approach towards students. An innovator with the ability to contribute to an outstanding department.

The teaching load would be 19 hours across a fortnight.

The role reports to Head of Faculty – English (Senior School).

Key Responsibilities

1. Learning & Teaching

• Manage an effective, enthusiastic and safe learning environment.
• Deliver the curriculum to assigned classes in accordance with the timetable.
• Differentiate lessons according to the abilities and learning needs of individual students.
• Promote independent learning by adopting teaching and learning strategies which develop the competence and confidence of every student.
• Seek to develop students’ attributes through the Tanglin Learner Profile, as well as seeking opportunities to develop their own attributes through that framework.
• Ensure the thorough implementation of subject specifications, teaching schemes, assessment policies and reporting procedures.
• Create opportunities for students to develop confidence in the subject through carefully planned and managed activities.
• Support a departmental and whole school culture of innovation that includes varied and exciting teaching approaches, technological integration and thoughtful evaluation.
• Possess the flexibility required to teach a range of texts, topics and ability levels.
• Possess the flexibility required to teach either pathway (A level or IB) in the sixth form.

2. Planning & Development

• Take responsibility for at least one aspect of English curriculum development each year following discussion and negotiation with department leadership team (eg creation of new scheme of work; drafting of departmental policy; organisation of trip).
• Assist the English & PPRS department leadership team in evaluating and developing the curriculum.
• Take advantage of some of the many opportunities for professional development offered by Tanglin.
• Take responsibility for their own professional development, and that of colleagues, by occasionally leading departmental inset or department meetings in an area of expertise.
• Assist the AHOF/HOF in identifying areas for development in English within the broader aims of the school development plan.
• Collaborate with colleagues in the planning and delivery of schemes of work, including the choice of appropriate teaching and learning methods to meet the needs of the subject, and of different pupils.
• Assist HOF/AHOFs in adapting curriculum content and methods of teaching and examining as appropriate.
• Support a school culture of innovation that includes technological integration.
• Be supportive of and open to the frequent change that characterises a school such as Tanglin.

3. Management of Resources and the Teaching Environment:

• Assist the HOF in identifying appropriate resources within the limits of the departmental budget.
• Assist the AHOF in ensuring that departmental rooms present stimulating environments, which help to influence pupils’ attitudes positively towards English.

4. Assessment, Recording & Reporting

• Ensure students’ work is regularly assessed according to English & PPRS Faculty policy and that homework is in line with school policy.
• Report to parents in accordance with the school’s reporting policy as laid down in the Staff Handbook.
• To use information gained from assessment, recording and reporting procedures to generate further improvement in pupil achievement.
• Assist the HOF/AHOF in the setting and marking of school examinations and to supervise entries for external examinations.

5. Pastoral and Co-Curricular

• Follow the School’s policies and procedures with regard to discipline and behaviour, daily routines, duties, homework, leave of absence, and visits, as laid down in the Staff Handbook.
• Contribute to co-curricular activities that broaden pupils’ experiences and contribute to the general life of the school.
• Be responsible for reporting any concerns about a child to the Designated Safeguarding Lead.

6. Communication and Liaison

• Help to establish a love of English and its relationship with the current world around the school through your own enthusiasm for the subject.
• Attend and contribute to meetings of a professional nature with HOF, HOY, SSLT and in other circumstances when requested.
• Liaise with the AHOF and HOF in respect of pupil records, rewards and sanctions.
• Maintain appropriate links with teaching colleagues in all sections of the school and foster cross-curricular links where appropriate.
• Liaise with members of the Learning Support Team with regard to individual students who may have exceptional needs, to ensure that those needs are understood, planned for and met.
• Liaise with pastoral staff, including form tutors, Heads of Year, the Assistant Heads of School and the Head of Careers on matters pertaining to the study of History.
• Contribute to the strengthening of the parent-teacher partnership in individual and whole school initiatives as and when required.
• Assist the AHOF in developing effective links with the wider community in order to extend the study of English and enhance teaching and learning.

Job Scopes 工作范围

1. Teach Classes Across Various Levels 教授不同级别班级的课程
2. Serve As The Class Teacher Handling All Matters Related To Children’s Welfare And Daily Routine Care 负责与儿童福利和日常照护相关的事项
3. Assist Other Teachers And Support Other Classes When Needed 按需协助其他教师，并支援其他班级的教学工作
4. Prepare Lesson Plans For The Class/Classes In Charge 为所负责的班级/课程制定与准备教学计划
5. Possess Strong Communication Skills And Effective Classroom Management Abilities 具备良好的沟通能力及有效的课堂管理技巧
6. Work 44-48 Hours Per Week 每周工作 44–48 小时
7. Salary Will Be Based On Experience And Qualifications 薪资将根据经验与资历评定

http://Nas.ioAt Nasio, we’re building the future of online business. Our AI-powered platform helps solopreneurs and professionals transform ideas into thriving digital products—fast, simple, and low-cost. With Nasio, anyone can go from concept to creation: launch a product, find their first customers, and generate their first revenue online in minutes.

Founded by the team behind Nas Daily, whose content reaches over 500 million people every month, we are a global team of 100 people serving users around the world, united by one mission: to make starting and scaling an online business easier than ever before.

Position Overview

Nasio is seeking a

Senior Backend Engineer

to support and scale our backend systems for a fast-growing creator platform. This is a full-time

remote role

open to candidates in Singapore. The ideal candidate thrives in an

asynchronous work environment

, can work independently, and is passionate about improving product reliability, system architecture, and performance. You will play a key role in ensuring our platform remains robust and responsive around the clock.

Team Setup & Reporting:

The Senior Backend Engineer will report directly to the

Head of Engineering

. Team collaboration at Nasio is primarily asynchronous due to the distributed nature of our workforce.

Key Responsibilities

• Backend Feature Development: Collaborate with product managers to design and implement new backend features that align with business goals and user needs. Ensure features are delivered from concept to deployment with high quality.

• System Architecture & Performance: Continuously improve the architecture of our core systems for better performance, scalability, and maintainability. Participate in technical design discussions and make decisions to enhance system reliability.

• Infrastructure & DevOps: Enhance and maintain our infrastructure (AWS cloud services and related tooling). Set up and refine CI/CD pipelines as needed to streamline deployments.

• Monitoring & Alerts: Establish and fine-tune comprehensive monitoring, logging, and alerting across all platforms. Maintain observability tools to ensure any issues are detected early and accurately, enabling rapid response.

• Off-Hours Support: Serve as the point person for troubleshooting and responding to backend system issues during off-peak hours (EU daytime / APAC night). Promptly address incidents, mitigate impact, and escalate to the broader engineering team if critical issues arise outside your expertise.

• Quality & Best Practices: Uphold high code quality standards through code reviews, testing, and documentation. Introduce best practices for coding, error handling, and performance optimization across the backend team.

Qualifications & Skills

• Experience: 4+ years in backend development or systems engineering roles, with a strong track record of building and maintaining scalable systems.

About Cynapse

Cynapse is a leading AI software company specializing in enterprise-grade Video Intelligence Solutions Powered by Generative AI, tailored to meet the unique challenges of various industries. Our vertical-specific solutions empower organizations to enhance safety, operational efficiency, and security in complex environments such as roads, seaports, airports, and cities. By combining advanced Vision AI with Generative AI, we continually push the boundaries of video analytics, delivering insights and automation that transform operations. 

Led by a global team with a proven track record of scaling startups into market leaders, we foster innovation, collaboration, and diverse perspectives. Headquartered from US, Cynapse serves clients worldwide, redefining what's possible with video intelligence.
The Role

We are seeking a hands-on Machine Learning Engineer Intern to join our Model Engineering Team with a focus on Computer Vision and modern AI. This role is designed for builders who are passionate about training deep learning models, refining architectures, and scaling real-world vision systems.

You will work closely with experienced engineers on production-grade models, ranging from standard object detectors to cutting-edge zero-shot and open-vocabulary architectures. This is an ideal role for those who enjoy running experiments, analysing model behaviour, and driving measurable performance improvements.

What You’ll Do

• Model Training & Fine-Tuning: Train, evaluate, and improve deep learning models across a variety of tasks, including classification, object detection, segmentation, and action recognition.
• Architecture & AI Exploration: Research and experiment with CNNs, Transformers, and Foundation Models. You will explore the integration of modern AI to enhance open-vocabulary detection and zero-shot capabilities.
• Failure Analysis & Data Refinement: Debug model failures (false positives/negatives) and implement solutions through targeted data annotation, cleaning, or improved inference strategies to ensure model robustness.
• Data & ML Engineering: Manage large-scale datasets, including preprocessing and versioning, to ensure high-fidelity and reproducible experiments.
• Pipeline Automation: Contribute to the development and optimization of automated training and evaluation pipelines to improve reliability and deployment efficiency.

Who This Role Is For

• Builders: You prefer hands-on engineering and practical implementation over purely theoretical research.
• Experimenters: You enjoy the iterative process of testing different architectures, hyperparameters, and datasets to maximize performance.
• Problem Solvers: You are curious about root causes and enjoy the "detective work" required for model debugging and data-driven improvements.
• Pragmatists: You are excited to see your models and automated systems successfully deployed in real-world production environments.

Requirements

• Pursuing or completed a degree in Computer Science, AI, Machine Learning, or a related technical field.
• Strong interest in deep learning model training, experimentation, and data-centric AI.
• Proficiency in Python and experience with PyTorch or TensorFlow.
• Competency in a Linux environment (SSH, shell scripting, and CLI-based file management).

Bonus Points

• Hands-on Experience: Previous work with specialized CV frameworks or comparing multiple architectures.
• Modern AI Knowledge: Familiarity with vision-language models or zero-shot detection.
• MLOps Tools: Experience with Git, Docker, or experiment tracking tools (e.g., Weights & Biases, MLflow).
• Video Processing: Knowledge of OpenCV, FFmpeg, or handling video streams.

Internship Details

• Duration: Minimum 6 months (flexible).
• Commitment: 4–5 days per week.
• Location: Singapore-based

Note: Kindly note that only shortlisted candidates will be notified.

School of Electrical and Electronic Engineering is one of the founding Schools of the Nanyang Technological University. Built on a culture of excellence, the School is renowned for its high academic standards and research.  With over 3,000 undergraduates students and 1,000 graduate students it is one of the largest EEE schools in the world and ranks 10th in the field of Electrical & Electronic Engineering in the 2024 QS World University Rankings by Subjects.

Today, the School has become one of the world’s largest engineering schools that nurtures competent engineers and researchers. Each year, the School graduates over a thousand students who are ready to take on great ambitions and challenges.

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

We are looking for a Research Fellow to pursuing cutting-edge research in nanophotonic devices. The research fellow will apply nanomaterials and cutting-edge nanophotonic principles toward the design of new devices related to X-ray generation and detection.

Key Responsibilities:

• Nanofabrication, simulations, and measurements

• Lead papers and publish in high-impact journals

• Present at top-tier international conferences

• Assist in supervision graduate and undergraduate students

• Assist PI in writing grants

• Assist PI in performing logistics related to the project

Job Requirements:

• PhD degree in physics, engineering or related field

• Good written and oral communication skills

• Proficiency in scientific programming e.g., C, C++, Python etc.

• Competent in teamwork and presenting results in informative visuals

• Interpersonal skill: Ability to work under pressure, Ability to work independently, develop solutions under strict timelines, meticulous and eye for details, excellent organizational / time management skills

• Entry level candidates are welcome to apply

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