Total 1,911 Others level Science / R&D / Research job vacancies

Candidate shall lead and conduct research in development of AI-based robotic solutions particularly for manufacturing processes that deliver impactful research and industry deployment outcomes.

Key Role & Responsibilities:

• Lead stakeholder discussions to grasp problem statements, requirements, and expectations.
• Develop project proposals and scoping.
• Collaborate with multidisciplinary technology groups in development of robotic solution from design conceptualization to prototyping and factory deployment.
• Explore, evaluate and propose research based topics in alignment with RIE2030.

Requirements:

• Relevant Engineering degree with focus on robotics or mechatronics.
• Minimal 8 years of industry experience in manufacturing process automation. Preferably in automotive production, aerospace MRO, biomedical production/laboratory.
• Proficient in 3D modeling CAD software.
• Essential IT/OT integration know-how towards digital transformation.
• Basic knowledge in machine learning frameworks and modelling.
• Effective communication and stakeholder interaction abilities.
• Adaptable, hands-on, and self-motivated approach to work.

The above eligibility criteria are not exhaustive. A*STAR may include additional selection criteria based on its prevailing recruitment policies. These policies may be amended from time to time without notice. We regret that only shortlisted candidates will be notified.

Candidate shall lead and conduct research in development of AI-based robotic solutions particularly for manufacturing processes that deliver impactful research and industry deployment outcomes.

Key Role & Responsibilities:

• Lead stakeholder discussions to grasp problem statements, requirements, and expectations.
• Develop project proposals and scoping.
• Collaborate with multidisciplinary technology groups in development of robotic solution from design conceptualization to prototyping and factory deployment.
• Explore, evaluate and propose research based topics in alignment with RIE2030.

Requirements:

• Relevant Engineering degree with focus on robotics or mechatronics.
• Minimal 10 years of industry experience in manufacturing process automation. Preferably in automotive production, aerospace MRO, biomedical production/laboratory.
• Proficient in 3D modeling CAD software.
• Essential IT/OT integration know-how towards digital transformation.
• Basic knowledge in machine learning frameworks and modelling.
• Effective communication and stakeholder interaction abilities.
• Adaptable, hands-on, and self-motivated approach to work.

The above eligibility criteria are not exhaustive. A*STAR may include additional selection criteria based on its prevailing recruitment policies. These policies may be amended from time to time without notice. We regret that only shortlisted candidates will be notified.

ARTC is looking for a Development Engineer to join Autonomous Systems & Robotics (ASR) group to accelerate the development of novel, intelligent, and/or reconfigurable robotic systems that can be adopted by industry.

ABOUT THE ROLE

As a Development Engineer, you will contribute towards developing systems and solutions as part of a larger team, and lead small projects, to meet the needs of different companies across the manufacturing and logistics ecosystem in Singapore. You will work with both senior and junior engineers and scientists at A*STAR on different R&D projects for developing robotics and automation systems.
If you are passionate about applied research and/or the development of AI-driven robotics and automation systems and applying the best-in-class physical AI and/or optimization algorithms to solve practical industry problems, this is the role for you.

JOB DESCRIPTION

• Discuss with stakeholders to get clear understanding of their problem statements, requirements, expectations
• Study new technologies and tools available in the market, evaluate and compare pros and cons, make recommendations; contribute to generative AI-driven robotic and automation system development projects
• Validate new concepts for systems or methods, by using virtual models, simulations and physical prototypes
• Design and develop physical / software modules, programs, and other system components
• Testing and validating the systems / solutions developed by other project team members
• Support seniors to develop detailed technical proposals addressing complex industry challenges, including automation, robotics.
• Contribute to robotics and automation system / software development projects for both competitive grant-funded research as well as for direct industrial problem statements
• Support senior staff in engaging with System Integrators (SI) and vendors to develop and deploy AI-based automation systems in the final operational environment (such as a factory shopfloor or warehouse facility) to meet end-user needs
• Write and maintain technical documentation of the work done in projects, and make presentations

JOB REQUIREMENT

• Bachelor’s Degree in Engineering disciplines (Mechanical, Electrical, Electronics, Computer Engineering)
• 0-2 years of experience in developing AI/ML-based robotics and automation systems / software solutions 
• Fresh graduates with strong hands-on skills and knowledge of Robotics,automation, 3D modeling, AI/ML for physical systems etc. are also welcome
• Experience in software programming (e.g., Python, C / C++ )
• Good experience in developing robot manipulation programs (e.g., ABB RAPID, URScript, KRL) for practical use-cases will be a strong plus
• Experience in 3D Simulation tools (e.g., Visual components, Isaac Sim, Gazebo), or willing to learn simulation tools 
• Hands-on experience with industrial robot arms, cobots for automation systems / solutions development projects.
• Experience or exposure to robotic picking and placement/packing applications
• Able to work hands-on with limited supervision for projects to develop robotics / automation systems 
• Strong problem solving and analysis skills
• Practical knowledge in applying Generative AI, Reinforcement Learning etc. in both simulation and real-life implementations will be a strong plus
• Experience in mechanical design (CAD), systems-level modelling and simulation will be a plus (e.g., Simulink)
• Knowledge of Robot Operating System (ROS / ROS 2), UI/UX development etc. will be a plus

We value the following Soft skills as well:

• Strong communication and interpersonal skills, to interact with different stakeholders at a technical or functional level (with colleagues, management, customers)
• Self-motivated individual with a strong sense of ownership of the assigned tasks
• Team player with good time management skills
• Flexibility & willingness to learn and master new / unfamiliar tools and technologies, work on new tasks, and adapt to changes

The above eligibility criteria are not exhaustive. A*STAR may include additional selection criteria based on its prevailing recruitment policies. These policies may be amended from time to time without notice. We regret that only shortlisted candidates will be notified.

We are looking for a Research Engineer to join our MOE AcRF Tier 1 funded research project at the Singapore Institute of Technology. You will be part of an interdisciplinary team spanning accounting and NLP/AI, working to design, build, and validate a pipeline that detects inconsistencies and contradictions between firms' written financial filings (10-K/10-Q) and spoken earnings call transcripts. The role involves implementing retrieval-augmented natural language inference models and LLMs, processing large-scale financial text data, and supporting empirical analysis of inconsistency scores. 

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Job Responsibilities

• Drive the technical execution of the research project under the guidance of the PI and Co-PI, ensuring project deliverables and timelines are met.
• Design and implement the retrieval-augmented NLI pipeline for inconsistency and contradiction detection across corporate disclosures (earnings call transcripts and SEC filings).
• Perform large-scale text preprocessing, cleaning, segmentation, and indexing of earnings call transcripts and financial filing corpora.
• Implement claims extraction modules using LLM-based approaches to identify key assertions from corporate disclosures.
• Build semantic retrieval mechanisms (e.g., Sentence-BERT embedding similarity search) for matching claim-context pairs across disclosure channels.
• Implement and evaluate contradiction detection models using NLI frameworks and LLM prompting techniques.
• Aggregate model outputs into firm-quarter level scores and prepare structured datasets for empirical analysis.
• Support human-in-the-loop validation by coordinating with student annotators and preparing annotation guidelines.
• Maintain reproducible research workflows using version control (Git) and systematic documentation of processes, code, and findings.

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Job Requirements

• Bachelor’s degree or Master’s degree in Computer Science, Information Systems, Data Science, Artificial Intelligence, or a closely related field.
• Strong programming skills in Python, with experience in relevant libraries such as HuggingFace Transformers, PyTorch/TensorFlow, and scikit-learn.
• Prior experience or coursework in natural language processing, machine learning, or information retrieval.
• Familiarity with version control tools (e.g., Git/GitHub) and collaborative development practices.
• Experience with financial data or financial text analysis will be advantageous.
• Familiarity with LLM APIs, prompt engineering, and retrieval-augmented generation (RAG) workflows will be advantageous.
• Good communication skills and ability to work both independently and collaboratively.

We are seeking a talented and experienced robotics scientist to join our team in advancing Embodied AI for robotics, with a strong focus on Learning from Demonstration for contact-rich manipulation and intelligent skill acquisition. The successful candidate will conduct applied R&D to develop, implement, and validate robot learning algorithms integrating motion, force/torque, and multimodal perception for real-world industrial applications. This role involves designing experimental setups, collecting and analysing demonstration data, translating research outcomes into functional prototypes, and contributing to the strategic development of Embodied AI and humanoid robotics capabilities, while working closely with multidisciplinary teams and stakeholders to drive innovation, technical excellence, and impactful deployment in advanced manufacturing environments.

Roles & Responsibilities

• Conduct applied R&D in Embodied AI for robotics, focusing on Learning from Demonstration (LfD) for contact-rich manipulation and skill acquisition.
• Design and execute experiments to collect, process, and analyse demonstration data for training intelligent robotic behaviours.
• Apply machine learning techniques, including deep-learning methods, to enhance robot control and decision-making processes, making our robots more adaptable and intelligent.
• Translate research outcomes into functional prototypes and deployable robotics solutions for industrial applications.
• Contribute to the strategic development of Embodied AI and humanoid robotics capabilities
• If applicable, leverage computer vision and image processing techniques to improve robot perception and object recognition capabilities.
• Continuously research and implement state-of-the-art algorithms and methodologies to improve robot performance and efficiency.
• Collaborate with cross-functional teams, including hardware engineers, software developers, and researchers, to achieve project goals.
• Support stakeholder engagement and technical discussions with industry partners, providing expert input on system capabilities and limitations.

Job Requirements

• PhD in Robotics, Computer Science, Electrical Engineering, or a related field.
• Strong background in robot learning, Embodied AI, Learning from Demonstration, or related AI-driven robotics techniques.
• At least 5 years of experience
• Knowledge of deep learning frameworks like TensorFlow and/or PyTorch.
• Proficiency in programming languages such as Python, C++
• Hands-on experience with ROS2, simulation environments (e.g. Isaac Sim), and robotic hardware platforms.
• Familiarity with industrial automation or manufacturing environments is an advantage.
• Strong communication skills to collaborate effectively with colleagues and present technical findings.
• A passion for robotics and a desire to stay updated with the latest developments in the field.
• Strong commitment to solving technical challenges in the field of robotics, approaching obstacles with a positive and determined mindset.

The above eligibility criteria are not exhaustive. A*STAR may include additional selection criteria based on its prevailing recruitment policies. These policies may be amended from time to time without notice. We regret that only shortlisted candidates will be notified.

Job Description:

As an Embodied AI Engineer, you will develop next‑generation robotic intelligence that tightly integrates AI‑driven perception, planning, and behaviour with real‑world robot embodiment. You will contribute to both research-driven and deployment-driven development across ROS 2, advanced simulation environments, and industrial robotic platforms.You will support applied R&D to develop, implement, and test robot learning algorithms that integrate motion planning, force/torque sensing, and multimodal perception. The role includes hands-on work in designing experiments, analysing results, building prototypes, and contributing to practical robotics solutions for advanced manufacturing. You will collaborate with multidisciplinary teams (researchers, engineers, and industry partners) to bridge research with impactful industrial deployments in areas such as remanufacturing, automation, and smart manufacturing.

Roles & Responsibilities​:

• Support applied R&D in robotic manipulation, focusing on robotics technologies for advanced manufacturing.​
• Assist in designing and conducting experiments to collect, process, and analyse experiment data.​
• Apply machine learning and deep learning techniques to improve robot control, adaptability, and decision-making in real-world scenarios.​
• Contribute to developing and testing functional prototypes and ROS-based robotics solutions for manufacturing applications.​
• Participate in the development and enhancement of ROS-Industrial capabilities for manipulation and embodied intelligence.​
• Support integration of perception tools (e.g., vision, force/torque) to enable better object handling and environmental interaction.​
• Stay updated with emerging robotics and AI methodologies, and assist in implementing state-of-the-art approaches to boost performance.​
• Work closely with cross-functional teams, including hardware/software engineers and researchers, to meet project milestones.​
• Support technical discussions, documentation, and engagement with industry stakeholders.

Job Requirements​:

• Bachelor or Master degree (fresh/recent graduates welcome) in Robotics, Computer Science,Mechanical/Electrical Engineering, Artificial Intelligence, or a related field.​
• At least 2 years of experience
• Strong foundational knowledge in robotics fundamentals, including kinematics, dynamics, motion planning, and control.​
• Interest or exposure to robot learning, Learning from Demonstration, imitation learning, reinforcement learning, or Embodied AI concepts.​
• Proficiency in programming, especially Python and/or C++ ​
• Hands-on experience or strong interest in ROS/ROS2, simulation tools (e.g., Gazebo, Isaac Sim), and robotic hardware platforms.​
• Basic familiarity with deep learning frameworks such as PyTorch or TensorFlow is advantageous.​
• Understanding of sensors (vision, force/torque) and perception techniques is a plus.​
• Experience or interest in industrial automation, manufacturing environments, or contact-rich manipulation is highly desirable.​
• Good communication skills for teamwork, documentation, and presenting ideas/findings.​
• Passion for robotics, strong problem-solving mindset, and eagerness to learn and tackle real-world technical challenges in a collaborative, innovative environment

The above eligibility criteria are not exhaustive. A*STAR may include additional selection criteria based on its prevailing recruitment policies. These policies may be amended from time to time without notice. We regret that only shortlisted candidates will be notified.

The Dance Station is a distinguished dance institution in Singapore, dedicated to delivering excellence in dance education and artistic development. We offers a comprehensive curriculum encompassing classical ballet, contemporary, jazz and tap catering to both pre-professional and recreational students.

As an employer, it offers roles in dance education and administration, providing opportunities for professional growth, creative expression, and involvement in performances and other events.

Benefits

Working at The Dance Station offers a professionally enriching environment designed to support both artistic and career development. Dance educators benefit from opportunities to expand their expertise through choreography, performances, and participation in international dance camps and programmes.

The organisation fosters a collaborative and supportive workplace culture, where teachers work alongside passionate and like-minded colleagues, contributing to a positive and inspiring teaching environment.

In addition, the role provides a flexible, non-traditional work schedule that allows educators to avoid standard peak-hour commuting, supporting a more adaptable work-life structure.

Teachers are also given the opportunity to play a meaningful role in mentoring and nurturing the next generation of dancers, contributing to students’ artistic growth, discipline, and personal development.

Requirements

• RAD CBTS/ CTD qualifications
• Education: Dance Diploma, Advanced/Higher/Graduate Diploma, Bachelor’s Degree, Education/Teaching/Training, Music/Performing Arts Studies or equivalent, preferred
• This is a teaching role, candidate have to be patient, enjoy teaching young children and having their safety in mind at all times.
• Weekdays evening and weekend work necessary
• Ability to teach other dance genres will be an added advantage

Responsibilities includes:

• Prepare lesson plan and structure for the class
• Identify individual student’s needs and areas of development
• Prepare termly progress reports on students’ progression
• Choreograph dances for students’ performance
• Conduct parent-teacher meeting
• Teach students for their performances and exams
• Collaborate with fellow colleagues on projects and tasks assigned by company
• Present a professional image in dressing and personality at all times
• Ad-hoc duties as assigned

Responsibilities:

·       Lead the research and development of novel AI architectures that fuse vision data with temporal manufacturing process data to predict final product quality.

·       Develop advanced methodologies for Root Cause Analysis (RCA), moving beyond correlation to establish causal links between process variables and inspection outcomes.

·       Design and implement Knowledge Graphs and semantic reasoning layers that integrate domain expertise with LLMs/VLMs to automate "final sentencing" and provide explainable AI (XAI) insights.

·       Architect and fine-tune state-of-the-art multimodal models to enable text-prompt able vision inspection and contextual decision-making.

·       Pioneer the use of Temporal Transformers or Physics-Informed Neural Networks (PINNs) to analyze complex manufacturing time-series data for anomaly detection and yield prediction.

·       Document research in high-impact internal reports or patent filings and stay at the forefront of AI/ML literature to maintain the institute competitive edge.

·       Provide technical oversight for QC/QA governance frameworks and mentor junior engineers in data integrity and model validation.

 JOB REQUIREMENTS

·       Ph.D. in Computer Science, Machine Learning, Electrical Engineering, or a related quantitative field is mandatory.
·       At least 2 years of experience

·       Demonstrated experience in publishing or developing innovative algorithms in Computer Vision, Predictive Analytics, or Multimodal AI.

·       Deep understanding of AI-based image segmentation, classification and time-series analysis and signal processing.

·       Hands-on experience with Knowledge Graphs, ontologies, or graph neural networks (GNNs).

·       Strong background in Root Cause Analysis (RCA) and statistical process control.

·       Advanced Python programming skills.

·       Ability to drive research projects from conceptualization to a deployable "target product."

·       Exceptional ability to communicate complex scientific concepts to both technical peers and non-AI manufacturing stakeholders.

The above eligibility criteria are not exhaustive. A*STAR may include additional selection criteria based on its prevailing recruitment policies. These policies may be amended from time to time without notice. We regret that only shortlisted candidates will be notified.

Responsibilities:

·       Lead research into state-of-the-art optimization techniques, including Quantization-Aware Training (QAT), Pruning, Knowledge Distillation, and Neural Architecture Search (NAS) to minimize latency.

·       Design and implement scalable AI deployment architectures that can handle high-throughput data streams from multiple high-resolution cameras and process sensors simultaneously.

·       Conduct hardware-software co-design to optimize models for specific deployment targets (e.g., NVIDIA Jetson, TensorRT, FPGAs, or specialized AI accelerators).

·       Develop and manage asynchronous data pipelines that ensure zero-bottleneck performance from image acquisition to "final sentencing" decisions.

·       Establish rigorous performance profiling benchmarks to track model latency and memory footprint across various manufacturing environments.

·       Work with the System Integrator (SI) to ensure that optimized models are seamlessly integrated into the factory-level software stack.

JOB REQUIREMENTS 

·       Ph.D. in Computer Engineering, Computer Science, Electrical Engineering, or a related field with a focus on High-Performance AI.
·       At least 3 years of experience

·       Deep understanding of AI Inference Engines (e.g., TensorRT, ONNX Runtime, OpenVINO).

·       Mastery of Model Compression techniques (Pruning, Quantization, Distillation).

·       Expertise in C++ and Python for high-performance implementation.

·       Hands-on experience with Parallel Computing (CUDA, OpenCL).

·       Familiarity with Mixed-Precision Training and FP16/INT8 deployment.

·       Proven ability to architect end-to-end AI systems that balance the trade-off between throughput, latency, and model precision.

The above eligibility criteria are not exhaustive. A*STAR may include additional selection criteria based on its prevailing recruitment policies. These policies may be amended from time to time without notice. We regret that only shortlisted candidates will be notified.

Our client is test laboratory specializing in fast, reliable and accurate testing of metal.

JOB DIMENSION (SCOPE)

• Interpret and translate customer instructions into clear internal work instructions, ensuring alignment with quotations, specifications and referenced standards.
• Provide technical input to the Sales Administration Department to ensure accurate scoping of quotations and work orders.
• Liaise with customers to clarify test requirements, provide technical advice, and address queries related to sample preparation, testing methods, and turnaround times.
• Coordinate job scheduling between the Workshop and Test Departments, ensuring timely prioritization and readiness of samples.
• Support process improvements by reviewing SOPs and contributing to training and development initiatives for junior staff and workshop teams.

JOB REQUIREMENTS

• Bachelor’s Degree in Materials Science or Mechanical Engineering.
• Minimum 1 year of relevant experience in a laboratory operating under ISO/IEC 17025:2017.
• Strong understanding of metallic materials, alloy specifications, and chemical compositions (e.g., steel, stainless steel, nickel, cobalt, aluminium, titanium).
• Knowledge of welding processes, welding consumables, and material properties in industrial applications.
• Strong technical foundation in materials engineering and analytical testing techniques.
• Good communication and relationship building skills with both internal teams and customers.
• Ability to explain technical topics clearly and provide effective recommendations.
• Certifications such as CWI or CSWIP 3.1, and PCN Level 2 in Visual Inspection will be advantageous.

Onion Search Pte Ltd

EA License No: 24C2108

EA Personnel: Clover Lai Kah Wai

EA Personnel No: R24120119

The Digital Supply Chain Group of the  Digital Manufacturing Division at ARTC is searching for a Senior Research Engineer to lead and support engineering projects focused on operations research using advanced analytics, simulations, and optimization.

Responsibilities:

1.      Innovate and Develop New Solutions:

a.   Design and prototype novel algorithms, tools, and systems to solve complex operational and industrial challenges.

b.   Conduct research and feasibility studies to create innovative, scalable, and efficient engineering solutions that meet industry needs.

2.      Lead the Development Process:

a.   Lead end-to-end development of research concepts into functional engineering prototypes, ensuring they are industry-ready.

b.   Collaborate with cross-functional teams to transition research results into tangible, deployable products or solutions.

3.      Apply Advanced Research in Engineering:

a.   Leverage cutting-edge technologies such as simulations (discrete-event & agent-based), network analysis, and optimization techniques to develop solutions.

b.   Implement machine learning and AI technologies into operational processes to enhance decision-making capabilities.

4.      Conduct Performance Testing and Optimization:

a.   Evaluate the performance and scalability of developed solutions through testing and optimization.

b.   Continuously improve prototypes by analyzing performance data and making necessary adjustments.

5.      Collaborate with Industry Partners:

a.   Work closely with industry partners to ensure that developed solutions align with real-world applications and requirements.

b.   Engage with stakeholders to gather feedback and refine research prototypes for successful industry adoption.

Job Requirements:

• Bachelor or Master degree in engineering, Computer Science, Operations Research, or related fields.
• More than 5 years of experience
• Strong foundation in mathematical modelling, algorithm design, and scientific computing.
• Expertise in simulations (discrete-event, agent-based) and optimization techniques.
• Proficiency in programming languages such as Python, C, C++, or MATLAB.
• Familiarity with machine learning frameworks (e.g., TensorFlow, PyTorch, Scikit-learn) and optimization libraries (e.g., Gurobi, CPLEX).
• Experience in data structures, algorithm development, and software development best practices.
• Prior experience in operational optimization, such as fleet management, scheduling, or network design, is highly preferred.
• Experience applying research in practical settings such as aerospace, logistics, energy, manufacturing, or supply chain management.
• Familiarity with Industry 4.0 technologies such as advanced robotics, automation, or smart manufacturing.

The above eligibility criteria are not exhaustive. A*STAR may include additional selection criteria based on its prevailing recruitment policies. These policies may be amended from time to time without notice. We regret that only shortlisted candidates will be notified.

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

NUS Career Portal link:  https://careers.nus.edu.sg/job/Senior-Research-Fellow-%28Power-Electronics%29/32337-en_GB/

We regret that only shortlisted candidates will be notified.

Job Description

•    Manage the research project with Principal Investigator (PI) and the research team members to study, evaluate, propose and innovate on the following:
(1) High-switching frequency high temperature operation of Wide Band Gap (WBG) SiC Semiconductor devices and applications. 
(2) Establish foundational work in the modelling, design, performance evaluation, and benchmarking of SiC power devices and power electronics.
(3) Characterization of new semiconductor devices 
(4) Electrical Circuit Modelling of SiC devices at high switching frequency and high temperature.
(5) Thermal modelling and advanced cooling at high temperature of SiC devices.
(6) Simulation model of new SiC devices
(7) Loss modelling and analysis
(8) EMI filter design
(9) Gate driver design (high frequency and WBG parasitic)
(10) Benchmarking for specific applications and demonstrate features of cost, density, and weight
Carry out Risk Assessment, and ensure compliance with Work, Safety and Health Regulations.
•    Work independently, as well as within a team, to ensure proper operation and maintenance of equipment and assist in laboratory management.
•    Coordinate procurement and liaison with vendors/suppliers.
•    Mentor students involved in the research project
•    For those hired at senior levels, management responsibilities may be included

Qualifications

•    Have a PhD degree in Electrical Engineering or equivalent from a recognized University with major in Power Engineering
•    Have 3 or more years’ relevant postdoctoral research experience in power electronics, high frequency gate driver circuit design, EMI filter, loss analysis, switching strategies, and closed loop control system
•    Strong knowledge of power electronics, drives, and WBG semiconductor devices is highly preferred. Experience with hardware testing and real-time simulation will be advantageous. 
•    Knowledge and hands-on experience in Wide band gap semiconductors, device parasitic, device simulation, gare driver design for WBG devices, EMI filter design, high-switching frequency operation, thermal management, high power prototype design and testing, etc. are preferred. 
•    Knowledge of software such as PSIM, PLECS and MATLAB/Simulink
•    Prior knowledge and experience in digital twins/HIL will be a bonus
•    Prior knowledge and experience of AI/ML and automation in power electronics and power system will be useful
•    Experienced and committed to participating in project meetings.
•    Self-motivated team player and good project management skills.
•    Excellent communication and interpersonal skills.
•    Open to Fixed Term Contract.

MetaQuest (MQ) is a premier Science enrichment learning brand under The Write Connection Group in Singapore, delivering structured programmes for Primary 3 to 6 students.

Our programmes utilise an effective experiment-based pedagogy to help students achieve breakthroughs in their understanding and performance in Science. Lessons are conducted both in-centre and online, incorporating live teacher demonstrations, guided discussions, and hands-on experiments to engage students meaningfully.

About the role

We are looking for a Science Teacher (Primary) to deliver engaging and effective science lessons for P3–P6 students.

This role focuses on strong lesson delivery, student understanding, and contributing to a consistent and high-quality learning experience.

Key Responsibilities

• Teach 10 to 12 classes per week including covering classes where required. Single weekend contract available.
• Deliver structured and engaging science lessons using the centre’s curriculum and teaching approach
• Explain concepts clearly and guide students in applying answering techniques
• Monitor student understanding and address learning gaps during lessons
• Mark students’ work, track their progress, and provide constructive feedback
• Maintain a safe, focused, and positive learning environment
• Build rapport with parents and provide updates on student progress termly
• Support trial classes and centre-level activities
• Participate in team meetings and professional development sessions

What We’re Looking For

• Degree in Science or related field (MOE/NIE-trained preferred)
• Minimum 2 years of teaching experience in primary science following MOE syllabus
• Strong subject knowledge with clear and structured explanation style
• Able to engage students and manage classroom effectively
• Responsible, consistent, and organised in lesson preparation and marking
• Open to feedback and continuous improvement
• Willing to adopt the Company's teaching approach and pedagogy
• Good interpersonal and communication skills

Why Join Us:

• Small class sizes (up to 12) with focus on quality teaching
• Structured curriculum and teaching approach
• Supportive environment with opportunities for growth
• Opportunity to be part of a developing science programme

Staff Benefits:

• Comprehensive Medical and Dental benefits
• Birthday and Marriage leave
• Flexi Leave upon completing 1 year of service.
• Monthly Birthday celebration
• Team Bonding Activities
• Exclusive Staff discount for TWC/ MQ lessons
• Exclusive Staff discounts with various participating merchants

Job SummaryWe are seeking a Vice President of AI Research and Development tolead the design, architecture, and development of enterprise-gradeAI Agent platforms. The role focuses on building intelligentautomation solutions that enable organizations to create,orchestrate, and deploy autonomous AI Agents, addressing keyenterprise challenges in AI adoption, governance, and operationalefficiency.### Key Responsibilities#### Strategic Leadership & Platform Development- Plan and lead the overall architecture, design, and end-to-enddevelopment of enterprise AI Agent platforms (Intelligent AgentCloud Platforms).- Oversee the creation, orchestration, and deployment of autonomousintelligent agents capable of executing complex business workflows.- Drive the development of modular and scalable AI Agent frameworksthat support both individual and multi-agent collective intelligencesystems.#### Core Platform Features- Lead the unified integration of multiple AI models (commercial andproprietary) into a centralized platform, including centralizedmanagement of computing resources, data pipelines, and digitalworkforce capabilities.- Develop tools that enable business users to transform standardoperating procedures (SOPs) into reusable, production-ready AIAgents with minimal technical expertise.- Build advanced platform capabilities for comprehensive AI assetvisibility, including real-time Token-level consumption tracking,ROI analytics, and enterprise-wide AI adoption reporting.#### Deployment & Technical Excellence- Design and implement flexible, secure deployment architecturescovering public cloud infrastructure and on-premise/edge terminalsolutions (including compact edge devices).- Ensure platform robustness in the areas of scalability,reliability, data privacy, security, and regulatory compliance.- Lead continuous optimization of AI Agent performance, multi-agentcoordination, and system integration with external tools, APIs, andenterprise systems.#### Team Leadership & Innovation- Provide senior technical leadership and mentorship to the AI R&Dteam, fostering a culture of innovation and engineering excellence.- Address critical enterprise AI challenges, including AI usagetransparency (management blind spots), rapid technology iteration,shadow AI risks, and protection of sensitive data.- Address critical enterprise AI challenges, including AI usagetransparency (management blind spots), rapid technology iteration,shadow AI risks, and protection of sensitive data.- Collaborate closely with cross-functional teams (business,product, engineering, and operations) to align AI Agent platformcapabilities with strategic business objectives.- Drive innovation in intelligent automation to deliver measurablebusiness impact through production-grade AI solutions.### Requirements#### Qualifications- Bachelor’s degree or higher in Computer Science, InformationTechnology, Artificial Intelligence, or a closely related technicalfield.- Over 5 years of hands-on experience in AI research anddevelopment, with proven track record in building and scalingenterprise AI platforms or intelligent automation systems.#### Technical Expertise- Strong experience in AI Agent platform architecture, modelintegration and orchestration, agentic workflows, and multi-agentsystems.- Deep understanding of enterprise AI governance, data privacy,Token-level resource management, and deployment strategies (cloud +edge).- Proficiency in relevant technologies and frameworks for buildingscalable AI systems (Python ecosystem and modern AI developmenttools).#### Leadership & Soft Skills- Demonstrated leadership in guiding technical teams through complexAI platform development projects.- Excellent problem-solving, communication, and cross-functionalcollaboration skills.- Ability to translate complex technical concepts into businessvalue and strategic roadmaps.- Experience working in fast-paced, dynamic environments with afocus on delivering production-ready solutions.### What We Offer- Opportunity to lead cutting-edge AI Agent platform initiatives ina growing organization.- Competitive compensation package with fixed monthly salary.- Chance to contribute to enterprise AI transformation in Singaporeand the region

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-ExecutiveAssistant-Manager-%28Research-Administration%29/32338-en_GB/

We regret that only shortlisted candidates will be notified.

Job Description

a) Programme and Project Management
• Support the Principal Investigator in the strategic and operational management of a large portfolio of modelling and public health research projects.
• Develop and maintain detailed project plans, timelines, risk registers, and milestone tracking systems across multiple concurrent studies.
• Monitor project progress to ensure deliverables, reporting requirements, and key performance indicators are met.
• Coordinate across modelling teams, data analysts, collaborators, and institutional stakeholders to maintain alignment and momentum.
• Identify operational risks or bottlenecks and proactively implement mitigation strategies.
b) Grant and Financial Management
• Support pre award and post award grant management activities in coordination with institutional research administration units.
• Track project budgets, expenditures, and burn rates across grants to ensure financial compliance and sustainability.
• Prepare financial and progress summaries for the Principal Investigator and funding agencies.
• Assist in the preparation of grant reports, renewals, and new funding applications where required.
c) Stakeholder and Collaboration Management
• Serve as a central coordination point between the Principal Investigator, research team members, institutional offices, and external collaborators.
• Facilitate communication across multi institution and international partners to support complex collaborative projects.
• Organise and manage project meetings, steering committees, and technical working groups, ensuring clear documentation and follow up of action items.
• Support the development and maintenance of collaboration frameworks and data sharing workflows where needed.
d) Research Operations and Delivery Support
• Support the timely production of key research outputs including reports, manuscripts, policy briefs, and technical deliverables by coordinating inputs across team members.
• Maintain organised project documentation, version control, and reporting records aligned with funder and institutional requirements.
• Contribute to continuous improvement of project management systems, particularly for large scale modelling and data intensive programmes.
e) Strategic Growth and Portfolio Development
• Support the Principal Investigator in scaling and coordinating large national and international research initiatives.
• Contribute to the development of new project management structures suitable for complex, multi partner programmes.
• Identify opportunities to strengthen programme efficiency, integration, and external impact.

Qualifications

• Applicants are expected to have at least a Bachelor degree from a recognised institution. Having a scientific background (undergraduate degree in a science discipline) is a plus.
• Preferrably with at least 2 years of experience in an administrative position within academic, research or healthcare sector.
• Candidates with experience in research administration, grant management, agreement review, research ethics, research compliance or database management will be at an advantage.
• A team player with effective problem-solving skills and excellent communication skills to perform well in a fast-paced environment.
• Able to take initiative to learn on the job and manage various responsibilities.
This role is well suited for candidates seeking to build deep expertise in managing large, technically complex research programmes with strong potential progression into senior national and international project management leadership roles.