Total 5,335 Education / Training job vacancies

Staff Nurse (Aesthetic Clinic)

5 days including Sat, 8am- 6pm/ 11.30am- 9pm; rotate shift 44 hours per week (Close on Sunday & PH)

Salary: $3500 -$4000

Address: Scotts Road (Orchard)

Job scope:

• Assist doctors during medical aesthetic procedures
• Perform a variety of nursing and aesthetic treatment procedures.
• Ensuring safety compliance
• Provide pre and post-operative care for patient

Requirements:

• SNB registered
• No prior aesthetics experience is required as training will be provided.

Cheong Yeat Long | R25145358

The Supreme HR Advisory Pte Ltd | EA 14C7279

SSG is a dynamic and forward-thinking organization dedicated to empowering individuals and shaping the future of Singapore's workforce. As the National Skills Authority, SSG leads the charge in driving the SkillsFuture movement, a national initiative that promotes lifelong learning and skills development. With a strong focus on innovation and collaboration, SSG works closely with employers, training providers, and individuals to create a vibrant ecosystem of learning and growth. By offering a wide range of initiatives, programs, and funding schemes, SSG enables individuals to unlock their full potential, acquire new competencies, and stay ahead in a rapidly changing job market.

The National Jobs-Skills Data Office, under the Skills Intelligence and Planning Division, serves three core functions:

·      Data and Algorithms Innovation and R&D: Undertake development of new data models and algorithms to serve whole of government’s jobs-skills intelligence needs;

·      Jobs-Skills Product Management, Development and Delivery: Manage and enhance jobs-skills products, which includes UX/UI design and end-to-end product life cycle management;

·      Data Management and Operations: Centrally manage data quality, data models and data infrastructure to support internal and external users

Come join this game-changing team in SSG, where we empower employers, citizens, training providers, and policymakers to make informed decisions by using a user-centered approach, providing trusted source of jobs-skills data and insights, and a common set of jobs-skills taxonomies for a skills-first future!

As a Machine Learning Engineer, you will be a key member of the Data Management and Operations team, designing, building and deploying scalable machine learning systems that power real-world applications. You will be creating robust data pipelines and integrating models into production environments. Working closely with data scientists, data engineers and software engineers, you will ensure that machine learning solutions are reliable, efficient and continuously monitored to maintain performance over time.

• Design and implement scalable AI/ML infrastructure by aligning data warehouses, APIs, and downstream systems under a governed, scalable model that ensures seamless integration with existing systems while maintaining high performance and reliability standards

• Develop and deploy robust AI solutions including the design, development, and deployment of AI models that integrate seamlessly with existing systems, while evaluating and integrating third-party AI tools and frameworks to enhance analytical capabilities

• Optimize and maintain ML model performance through continuous fine-tuning of existing AI models for performance, accuracy, and scalability, implementing automated monitoring systems for model performance including drift detection, latency monitoring, and resource utilization tracking

• Build and maintain end-to-end data architecture by designing robust data systems that integrate ingestion, metadata, storage, and consumption layers across production environments, supporting large-scale datasets including Skills Framework data, job postings, and administrative data

• Implement MLOps and CI/CD processes by establishing continuous integration and deployment pipelines for ML models using version control, containerization, orchestration, and comprehensive testing environments to ensure reliable model deployment and updates

• Ensure system reliability and governance compliance through implementation and optimization of data pipelines in accordance with NJSDO data governance standards, diagnosing and resolving pipeline issues, and contributing to incident response processes and post-mortem reviews

• Drive cross-functional collaboration by working closely with data engineers, product teams, and governance stakeholders to align model deployment with business requirements, translating technical capabilities into meaningful business outcomes that support workforce planning initiatives

Requirements

Experience:
·  Proficiency in data engineering practices with demonstrated experience building scalable data pipelines and managing large-scale data processing workflows

·      Strong programming skills in Python and SQL with experience in machine learning frameworks such as TensorFlow, PyTorch, or scikit-learn for model development and deployment

·      Experience deploying machine learning models in production environments with knowledge of CI/CD practices, DevOps methodologies, and containerization technologies

·      Hands-on experience working with large and multiple datasets, data warehouses, and cloud-based data platforms with understanding of data governance and quality management principles

Machine Learning Architecture:

·      Strong understanding of ML algorithms, model evaluation techniques, and performance optimization strategies with experience in model monitoring and automated retraining workflows

Analytical and Problem-Solving Competencies:

·      Strong analytical, conceptualization, and debugging skills with ability to troubleshoot complex technical issues across the full ML pipeline

·      Proven ability to work independently while contributing effectively to cross-functional teams in fast-paced, collaborative environments

Communication and Collaboration Skills:

·      Excellent written and verbal communication skills withdemonstrated ability to explain complex technical concepts clearly to non-technical stakeholders including product managers and policy teams

Successful candidates will be offered a 1-year contract with potential for a 1-year extension and consideration for permanent tenure thereafter.

Candidates are encouraged to sign up for a Careers & Skills Passport (CSP) account and include your CSP public profile in your resume. Please check out www.myskillsfuture.gov.sg for details on the CSP.

Responsibilities:

• Planning, supervising and implementation of programme for the class in accordance with centre’s philosophy and pedagogy.

• Carry out routine care activities to ensure safety, health, and hygiene of the children. Examples of routine care activities are showering, handwashing, diapering, drinking of water, preparation of milk, assisting during mealtimes and ensuring children naps.

• Be responsible for all aspects of classroom management including the upkeep of the classroom and learning environment.

• Monitoring, assessing, recording, and reporting on children’s developmental progression.

• To assist in building and maintaining close partnership with parents.

• Involvement in school activities and events.

Requirements:

• Candidates must possess at least a Diploma in Preschool Teaching (DPT)

HOW TO APPLY:

Interested applicants, kindly send your resume in MS WORD format or please click on “Apply Now”.

We regret only shortlisted candidates will be notified.

Important Note: Trust Recruit Pte Ltd is committed to safeguarding your personal data in accordance with the Personal Data Protection Act (PDPA).

Please read our privacy statement on our corporate website.

Trust Recruit Pte Ltd

EA License No: 19C9950

EA Personnel: Indah Purnama

EA Personnel Reg No: R1654971

Job Details:

• Location: Central-east region
• Working Hours: Working hours : Monday to Friday, 8:30 AM to 5:30 PM
• Contract: 1 yr contract (with potential for conversion)

Roles and Responsibilities:

• Learning Needs & Planning – Partner with stakeholders to identify learning needs and conduct annual training needs analysis to develop the company’s Learning Plan.

• Training Program Management – Coordinate, organize, and administer in-house and external training programs, including orientation for new employees, ensuring compliance with regulatory and corporate requirement

• Vendor & Contract Management – Source and manage external training providers, negotiate agreements, and handle contract administration in consultation with Corporate Legal

• Budget & Grants Administration – Prepare and monitor training budgets; manage training grants, claims, and training bonds

• Evaluation & Reporting – Conduct post-training assessments, monitor training effectiveness, and generate utilization reports

• Policy & Ad-hoc Support – Update training materials and calendars, address employee queries on training policies

Requirement:

• Degree in Human Resource Management, Business Studies, or a related field.
• 5–8 years of experience in L&D

Interested candidate please click "APPLY" to begin your job search journey and submit your CV directly through the official PERSOL job application platform - GO Mobile.

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

By sending us your personal data and curriculum vitae (CV), you are deemed to consent to PERSOL Singapore Pte Ltd and its affiliates to collect, use and disclose your personal data for the purposes set out in the Privacy Policy available at https://www.persolsingapore.com/policies. You acknowledge that you have read, understood, and agree with the Privacy Policy.

PERSOL Singapore Pte Ltd • RCB No. 200007268E • EA License No. 01C4394 • EA Registration No. R23117223 (Poh Siew Ling)

About AppLovin

AppLovin makes technologies that help businesses of every size connect to their ideal customers. The company provides end-to-end software and AI solutions for businesses to reach, monetize and grow their global audiences. For more information about AppLovin, visit: www.applovin.com.

To deliver on this mission, our global team is composed of team members with life experiences, backgrounds, and perspectives that mirror our developers and customers around the world. At AppLovin, we are intentional about the team and culture we are building, seeking candidates who are outstanding in their own right and also demonstrate their support of others.

Fortune recognizes AppLovin as one of the Best Workplaces in the Bay Area, and the company has been a Certified Great Place to Work for the last four years (2021-2024). Check out the rest of our awards HERE.

【The Role】

We are looking for a Senior Research Scientist with strong experience in large-scale recommendation systems to help build the next-generation social media platform.

You will own critical components of our recommendation stack — including recall, ranking, CTR modeling, and multi-objective optimization — with the goal of driving retention, engagement, and long-term ecosystem growth.

【A Day in the Life】

• Design and deploy scalable recommendation pipelines 
• Develop and optimize CTR/CVR prediction models
• Improve multi-objective ranking strategies (retention, monetization, diversity, long-term value)
• Tackle cold-start challenges for new users and new content
• Run offline experiments and online A/B testing to drive measurable gains
• Collaborate closely with product, engineering, and monetization teams
• Continuously iterate on model performance, latency, and system reliability

【The Impact You’ll Make】

• Improve user retention through intelligent content recommendation
• Drive measurable lift in engagement and monetization metrics
• Build core ranking mechanics beyond incremental model tuning
• Shape the foundation of a scalable, long-term content ecosystem

【Who You Are】

• 6-8 years of experience building production-grade ML systems
• Strong hands-on experience in recommendation systems
• Experience in one or more:
• Recall systems / candidate generation
• Ranking models
• CTR prediction
• Multi-task or multi-objective optimization
• Proficient in Python and ML frameworks (PyTorch, TensorFlow, etc.)
• Strong software engineering fundamentals
• Experience with large-scale data systems and distributed training is a plus
• Experience improving retention or long-term user value is highly valued

【Why Join This Venture】

• Build 0-to-1 systems inside a proven AI powerhouse
• High ownership and direct business impact
• Startup speed with AppLovin-level scale and resources
• Opportunity to shape a new growth engine for the company

We are hiring on behalf of a Singapore-based EdTech company that works with schools and education stakeholders to support student guidance and future pathway planning.

The business operates in the education space and serves students in the upper secondary to pre-university age range. It is looking for a commercially strong business development professional who can open doors, build trust with institutional stakeholders, and create partnerships from the ground up.

This is not an inbound-heavy, desk-bound, or marketing-fed sales role. It is a field-led growth role. The successful hire will spend most working days outside meeting prospects, canvassing, developing relationships, and creating new commercial opportunities across the education ecosystem. Fridays are typically reserved for office-based meetings and internal alignment.

This role is suited to someone who knows how to build pipeline from scratch and keep replenishing it over time. We are not looking for someone who performs well only because of brand pull, marketing-generated demand, agent-fed opportunities, or a finite personal network that runs dry after the first wave of outreach.

You will do well here if you are comfortable operating with high ownership, disciplined follow-up, low hand-holding, and longer partnership sales cycles.

Key Responsibilities

• Build and manage a self-generated pipeline of schools, institutions, and relevant education-sector partners

• Drive outbound business development through direct outreach, canvassing, prospecting meetings, networking, and disciplined follow-up

• Open new doors independently rather than relying mainly on inbound enquiries or warm lead flow

• Consistently generate fresh opportunities beyond immediate personal networks or pre-existing contact pools

• Identify, qualify, and pursue partnership opportunities aligned with the company’s growth priorities

• Develop proposals and partnership pitches for education stakeholders and institutional decision-makers

• Negotiate and close partnership agreements

• Manage and grow partner relationships where required

• Represent the company at meetings, events, and ecosystem touchpoints

• Maintain strong pipeline discipline, reporting accuracy, and follow-through

• Work closely with internal stakeholders to support execution of partnership initiatives

• Track market developments and identify new routes to growth within the education space

Requirements

• Proven experience in business development, partnerships, or B2B sales

• Strong hunter profile with clear evidence of building pipeline from zero

• Demonstrated ability to generate your own leads through direct outreach, canvassing, networking, and persistent follow-up

• Clear evidence of building and replenishing pipeline over time, not just converting an initial batch of warm contacts

• Able to keep opening new doors after early personal leads or introductions have been exhausted

• Comfortable operating without heavy dependence on established brand pull, marketing-generated demand, or external agents

• Comfortable spending most working days in the field meeting prospects and building relationships

• Experience engaging schools, institutions, or education-sector stakeholders directly will be an advantage

• Comfortable working through longer sales cycles with patience, consistency, and commercial discipline

• Strong communication, proposal-writing, negotiation, and stakeholder management skills

• Good CRM hygiene and pipeline management discipline

• Independent, resilient, and able to perform with minimal hand-holding

• Genuine interest in the education space and student-facing outcomes

Who Will Do Well Here

• Someone who enjoys opening new doors rather than inheriting warm demand

• Someone who can keep creating fresh leads and meetings even after the obvious or easy contacts are gone

• Someone who is comfortable with a field-heavy role and regular prospect-facing activity

• Someone who combines commercial hunger with discipline, structure, and follow-through

• Someone who can stay steady when results take time to build

This Role Is Less Likely to Suit

• Candidates whose results depend mainly on an existing personal contact list that is difficult to replenish

• Candidates who are strongest only when supported by a well-established brand

• Candidates who rely heavily on marketing teams to generate lead volume

• Candidates whose past success came mainly from agents, channel partners, or ready-made warm introductions

• Candidates looking for a desk-bound, inbound-led, or cushy hybrid BD role

What the Role Offers

• Opportunity to build partnerships in a growing Singapore EdTech environment

• High-ownership role with direct exposure to education sector business development

• Base salary plus performance-based incentives

• Monday to Friday work structure

• Field autonomy with weekly office alignment

EA Information

EA Personnel Name: Ben Chang
EA Personnel Registration Number: R23111820
EA Licence Number: 22C1307

Job Description:

Midiworld Music and Art School

At Midiworld, we take pride in providing personalized guidance that caters to each student's unique needs and aspirations. We firmly believe in laying a strong foundation through meticulous techniques while fostering a positive learning attitude. Our mission is to cultivate well-rounded musicians who are not only proficient in their chosen musical instruments but also passionate about their musical journey.

Piano Teacher
(Singapore - NORTHEAST)

Position Overview:

We are seeking a skilled and passionate Piano Teacher to join our educational institution. As a Piano Teacher, you will be responsible for instructing and guiding students in the art of playing piano. Your role involves designing and delivering lessons that cater to students of various skill levels and age groups. Piano Teachers play a pivotal role in nurturing musical talent, fostering a love for music, and helping students develop their technical proficiency and musical understanding.

Keys Responsibilities:

1. Instruction:

· Plan and deliver engaging and structured piano lessons to students, taking into account their age, skill level, exam requirements and individual goals.

· Teach fundamental techniques, such as posture and hand positioning.

· Introduce music theory concepts, including notation, rhythm, scales, and harmony.

· Select appropriate repertoire to challenge and motivate students while ensuring it aligns with their skill level.

2. Assessment and Feedback:

· Evaluate students' progress through regular assessments, including recitals, examinations, and practice assignments.

· Provide constructive feedback to students, helping them identify areas for improvement and setting achievable goals.

· Adapt teaching methods and materials to address individual learning styles and needs.

3. Instrument Maintenance:

· Instruct students on the proper care and maintenance of their instruments.

· Offer guidance on selecting and purchasing instruments and accessories.

4. Communication:

· Maintain open and clear communication with students and their parents or guardians regarding progress, practice routines, exam and performance opportunities.

· Collaborate with parents/guardians to establish and monitor practice schedules and prepare the students for examination.

5. Performance and Recitals:

· Organize and facilitate student recitals or performances to showcase their progress and build confidence.

· Encourage and support students in participating in competitions, auditions, and other musical events.

6. Continuing Education:

· Stay updated on the latest teaching techniques, examination board and syllabus, music trends, and educational materials.

· Adapt teaching methods to accommodate diverse learning styles and preferences.

7. Professionalism:

· Maintain a professional demeanor, punctuality, and reliability in all interactions with students and their families.

· Adhere to ethical and professional standards of conduct.

8. Record Keeping:

· Maintain accurate records of student attendance, lesson plans, and progress reports.

9. Studio Management: (if applicable)

· Manage scheduling, billing, and administrative tasks related to teaching services.

Qualifications:

· May hold relevant certifications or degrees in music education, music performance or related fields. (preferred).

· Proficiency in playing piano at an advanced level.

· Previous teaching experience, especially in one-on-one or group settings is preferred.

· Able to teach one or more other instruments such as Violin, Vocal, Guitar, Ukulele and Drum are also welcome too.

· Patience, enthusiasm, and the ability to motivate and inspire students.

· Excellent communication and interpersonal skills with the ability to effectively engage and connect with students of all ages.

· Ability to adapt teaching methods to suit the needs of individual students.

· Patience, enthusiasm, and a genuine passion for teaching.

· Ability to work collaboratively within a creative and dynamic team.

· Flexibility in adapting teaching methods to accommodate different learning styles.

· Knowledge of music theory and pedagogical methods.

· Ability to create a positive and nurturing learning environment.

· Flexibility to work during evenings and weekends.

· Knowledge of music theory and pedagogical methods.

· Ability to create a positive and nurturing learning environment.

· Flexibility to work during both weekdays, evenings and weekends. Part-time role may be consider.

If you have a passion for teaching and is dedicated to nurturing the musical talents of students and unlock their musical potential and foster a lifelong love for music, we encourage you to apply. Join Midiworld Music and Art School and inspire a new generation of students.

Interested candidates are invited to submit their resume, and a cover letter detailing your teaching philosophy and relevant experience to career@midiworldmusic.com.

Please include "Piano Teacher Application – [Full-Time] [Your Name]" in the subject line. Shortlisted candidates will be contacted for an interview and a demonstration of their teaching skills.

Only shortlisted candidates will be notified.

Roles & Responsibilities

The Law Society of Singapore is seeking a passionate and proactive Executive Officer/Senior Executive Officer to join their Learning and Development Department. This role offers an exciting opportunity to contribute to the professional growth of our members through the development and management of Continuing Professional Development (CPD) activities.

Who you are:

· A proactive and passionate team player

· Comfortable working in a dynamic, fast-paced environment

· Adaptable and willing to pitch in where needed

Key Responsibilities

Operations and Programme Support

· Organise CPD activities to support the professional development of members

· Manage e-learning programmes and the Learning Management System (LMS) to ensure accessibility, functionality, and relevance for members, including user management, content updates, troubleshooting, and performance evaluation with recommendations for improvement

· Assist in the on-site/virtual management of events, ensuring smooth delivery and quality control

· Coordinate logistics, including venue arrangements, technology setup, and participant registration

· Support marketing initiatives for programmes, including creating promotional materials and simple video editing using Canva

· Maintain accurate records, documentation and databases for programmes, including budget planning, tracking and procurement processes

· Prepare reports and statistics, including financial reports with basic analysis, to support decision-making and programme evaluation

· Collate and summarise programme feedback to provide actionable insights for continuous improvement

· Reply to queries from members and public on programme and accreditation matters

· Ensure compliance with organisational policies and procedures in all operational activities

· Perform other administrative tasks as assigned

Requirements

· Possess a Bachelor’s Degree in any discipline

· Fluent in written and spoken English

· At least 2 years of relevant work experience in professional development training, project and event management or related fields

· Resilient, detail-oriented, problem solver, and a proactive team player with a cheerful disposition who enjoys interacting with people

· Able to multi-task and independently accomplish assignments within lean timelines

· Able to work confidently with members of the Judiciary and legal community

· Proficient in Microsoft Office applications, particularly Microsoft Word, Excel and PowerPoint

· Passionate about lifelong learning

Job Summary

To coordinate and support training course delivery by managing logistics, registrations, instructor assistance, and course effectiveness monitoring to ensure smooth operations and continuous improvement.

Responsibilities

• Coordinate logistics for course delivery by scheduling instructors, preparing classrooms, and arranging catering and equipment to ensure seamless training sessions
• Manage course registrations and enrollments by processing registrations and payments, distributing course materials and reminders, tracking attendance, and issuing certificates
• Support instructors by providing course materials, assisting with preparation and delivery, and collecting feedback and evaluations to enhance training quality
• Monitor and report on course effectiveness by analyzing participant feedback, tracking outcomes and ROI, and identifying improvement opportunities
• Assist with course development by researching new topics and formats, collaborating with subject matter experts, and updating course materials and content
• Maintain accurate records and databases by gathering participant information, tracking training history and compliance, and managing course schedules and registrations
• Perform additional tasks as assigned by management to support training operations

Preferred competencies and qualifications

• Minimum 1 year of experience in a training or coordination role
• Proficiency in MS Office and learning management systems to efficiently manage course logistics and data
• Strong communication and organizational skills to coordinate multiple tasks and stakeholders effectively
• Ability to work independently and collaboratively within a team environment
• Ability to communicate with Mandarin-speaking customers to support diverse participant needs

This position is catered for candidates who are trained in Food and Beverage segment with or without relevant experience to prepare them for Management role in managing a restaurant.

Training program in place for the incumbent:

· Building candidate’s capability from entry-level to managerial Restaurant Manager level

· Participate in planning and execution of managing a restaurant.

· Inculcate good customer service mind set as well as understanding of Company service standard and SOP.

· Manpower planning and rostering

· Assist in monthly reporting

M-I-T are to :-

· Maintain service quality and consistency standards

· Adhere to the Group’s procedures and propose improvements to:

· maintain a healthy working environment;

· ensure customers’ satisfaction;

· monitor stocks level including inventory checks; and

ensure the overall management of the restaurant operations.

This position is catered for candidates who are trained in Food and Beverage segment with or without relevant experience to prepare them for Management role in managing a restaurant.

Training program in place for the incumbent:

· Building candidate’s capability from entry-level to managerial Restaurant Manager level

· Participate in planning and execution of managing a restaurant.

· Inculcate good customer service mind set as well as understanding of Company service standard and SOP.

· Manpower planning and rostering

· Assist in monthly reporting

M-I-T are to :-

· Maintain service quality and consistency standards

· Adhere to the Group’s procedures and propose improvements to:

· maintain a healthy working environment;

· ensure customers’ satisfaction;

· monitor stocks level including inventory checks; and

ensure the overall management of the restaurant operations

Salary: up to $2500 + completion bonus
Duration: 1 year direct contract

Working Days & Hours: Mon-Fri Office Hours

Location:  Boon Lay

Job Description:

Laboratory Maintenance

Operate, maintain and ensure safe use of lab equipment.

Manage lab inventory including raw material, consumable items and chemical reagent.

Perform routine maintenance and cleaning of lab equipment; schedule service when needed.

Maintain correct waste segregation (chemical and general waste) and ensure timely, safe disposal in accordance with EHS and R&D lab procedures.

Maintain a clean and safe working environment and perform 5S housekeeping diligently.

Maintain accurate trial records, sample labels, equipment logs and safety checklist.

Process Trial Support

Prepare sample following R&D formulations and instructions.

Support product reformulation trials, shelf-life study samples, and sensory preparation.

Perform standard laboratory tests according to prescribed procedures and recording of test results

Conduct simple chemical and physical analysis measurements, for example Titration, pH, Brix, Specific gravity, particles sizes measurement and others.

Support preparation of reports, photos, and data summaries for process trials.

Others

Perform job assignment as and when instructed.

Implement and conform to all established environmental management system.

Support the implemented environmental management system.

Comply with all applicable procedures and legal and other requirements.

Comply with Group’s Charter of Corporate Behaviour and Code of Conduct according to the Employee Handbook.

Job Requirements: Min Diploma in Life Sciences/Biotechnology/Chemistry or similar

Interested candidates, please submit your resume to: allylok@recruitexpress.com.sg

Ally Audrey Lok Xin Woon

Recruit Express Pte Ltd (Healthcare & Lifescience)

Company EA Licence number : 99C4599

Personnel EA License: R21102307

allylok@recruitexpress.com.sg

* Regularly visit customer sites to deeply understand their unique laboratory requirements and identify opportunities

* Prepare and deliver compelling sales presentations and product demonstrations, whether in-person or virtually

* Diligently work through and prioritize sales follow-ups via phone and email to effectively close sales to meet assigned sales target

* Continuously develop and maintain in-depth product knowledge for assigned product portfolio

* Strategize and implement marketing activities

Qualifications:

• Self-starter, results-oriented with keen interest in sales

• Possess a Diploma or Degree in Life Sciences or Chemistry

Good Pay + Good allowance + Good Bonus

Interested candidates please send an updated Resume / CV in Ms Word format to lilian@recruitflash.com or WhatsApp’s your resume to 98332779 ( no Calls)

Consultant in-charge : Quah Li Lian (Lilian) ( Registration No: R1983286 )

we welcome you to join us as Preschool Muisc and movement Teacher (Full time / Part-time) if you have the following:-

1. Minimum Grade 3 Practical and Theory from acceptable music examination boards or equivalent.

2. Able to sing in pitch and play an instrument (eg. ukulele, piano, etc)

3. Passionate in Arts Education and in working with young children

4. Energetic, enthsiastic, confident and warm

Please note 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-Engineer-%28LWIR-Perception-&-UAV-State-Estimation%29/32576-en_GB/

We regret that only shortlisted candidates will be notified.

Job Description

A Research Engineer position is open at the Department of Electrical and Computer Engineering, National University of Singapore (NUS).

The Research Engineer will work closely with the Principal Investigator (PI) on the project on Long-Wave Infrared (LWIR) Imaging for Autonomous Navigation. The position focuses on developing robust perception, state estimation, and odometry algorithms using LWIR (thermal) imaging for UAVs operating under degraded visual conditions, such as low illumination, smoke, fog, and texture-sparse environments.

The Research Engineer will design and implement LWIR-based odometry and thermal-inertial state estimation frameworks, including multi-sensor fusion with IMU and other onboard sensors. The work will involve both model-based approaches (e.g., filtering and optimization-based estimation) and learning-enhanced methods for improving robustness and generalization across environments.

The candidate will also be responsible for system integration and real-world deployment on UAV platforms, including embedded implementation, sensor calibration, and experimental validation in both indoor and outdoor scenarios. The developed methods will be evaluated in realistic navigation tasks under challenging environmental conditions.

The initial appointment duration is 12 months, which can then be extended based on an evaluation at the end of the initial appointment.

The candidate should have a Bachelor’s degree from a reputable university, with expertise in robot perception, state estimation, or aerial robotics.

A successful candidate should have a strong mathematical background (e.g., linear algebra, optimization, probability, stochastic processes), along with demonstrated experience in state estimation, odometry, or SLAM systems, particularly in robotics applications.  

Qualifications

•    Possess min a Bachelor’s degree in Computer Engineering/Science or related disciplines (e.g., Electrical Engineering, Mechanical Engineering, Mathematics).
•    Have research experience in robot perception, state estimation, SLAM, or sensor fusion.
•    Experience with thermal (LWIR) imaging, event cameras, or other non-RGB sensing modalities is highly preferred.
•    Familiar with visual-inertial odometry (VIO), thermal-inertial odometry, or multi-sensor fusion frameworks.
•    Knowledge of state estimation techniques, including EKF, UKF, factor graph optimization, or moving horizon estimation (MHE).
•    Experience with feature extraction or direct methods under low-texture or low-SNR conditions is a plus.
•    Proficient in C++ or Python; experience with ROS and real-time robotic systems.
•    Familiar with UAV systems (e.g., PX4), and simulation environments such as Gazebo or AirSim.
•    Experience in sensor calibration (intrinsic/extrinsic) and time synchronization is desirable.
•    Strong analytical and problem-solving skills, demonstrated through relevant publications or projects.
•    Ability to deploy algorithms on embedded platforms (e.g., NVIDIA Jetson) is a plus.
•    Excellent communication skills for publishing and presenting research outcomes.
•    Experience in world-class research environments is highly valued. 
•    Open to Fixed Term contract