Total 293 process development engineer job vacancies in Education / Training category in Hong Kong

Key Roles and Responsibilities

• Develop and optimize CMP process for silicon photonics, flat optics, advanced packaging, MEMS, and wide bandgap semiconductor applications.
• Collaborate with process integration teams to drive CMP process development, optimization, and troubleshooting for both industrial and grant-funded projects.
• Own innovation strategy for CMP raw materials, slurry, methodologies, and approaches to enhance CMP uniformity, stability and defect performance.
• Provide technical support to fab teams in implementing and sustaining statistical process control (SPC) for CMP modules, ensuring consistent process performance.
• Prepare and deliver technical reports and presentations for both internal stakeholders and external customers, effectively communicating project progress and technical insights.

Job Requirements

• Bachelors/Master's degree in Electronics, Microelectronics, Materials Engineering, Chemical Engineering, Materials Science, Chemistry, Physics, or equivalent.
• Minimum 3 years of experience in semiconductor industry, preferably in CMP technologies.
• Hands-on experience with 200 mm or 300 mm CMP equipment platforms (e.g., AMAT or Ebara) is highly desirable.
• Knowledge of silicon photonics, advanced packaging, MEMS, or wide bandgap semiconductor platforms is advantageous.
• Hands-on experience with basic process characterization techniques such as DRSEM, Ellipsometry, and AFM is a plus.
• Strong skills in experimental design (DOE), data analysis, and process optimization.
• Good analytical and communication skills, with ability to deliver clear and concise messages to both internal and external stakeholders.
• Self-motivated with a strong interest in advancing next-generation CMP applications and industry trends.

Young and research-intensive, Nanyang Technological University, Singapore (NTU Singapore) is ranked among the world’s top universities. NTU’s College of Computing and Data Science (CCDS) is a leading college that is known for its excellent curriculum, outstanding and impactful research, and world-renowned faculty.

A hot bed of cutting-edge technology and groundbreaking research, the College aims to groom the next generation of leaders, thinkers, and innovators to thrive in the digital age. Located in the heart of Asia, NTU’s College of Computing and Data Science is an ‘exciting place to learn and grow’. We welcome you to join our community of faculty, students and alumni who are shaping the future of AI, Data Science and Computing.

Key Responsibilities:

• Develop and optimize AI models, including data preparation, training and evaluation.

• Collaborate with teams to implement models and improve performance based on results.

• Design and conduct human behavioral experiments, including developing protocols and ensuring compliance.

• Collect and analyze experimental data and interpret findings to support research objectives.

Job Requirements:

• Preferably Bachelor’s degree in Computer Engineering, Computer Science, Electronics Engineering or equivalent.

• Independent, highly analytical, proactive and a team player

• Excellent teamwork and verbal, written communication skills

• Strong coding and implementation skills in developing AI models

• In depth understanding of neural circuits for controlling eye movements in neuroscience

• Strong communication skills in terms of writing and reading academic papers, and presenting research works in public settings

• Candidates must have strong computational background

• Candidates must have coding experiences in deep reinforcement learning and deep learning

• Candidates must also have strong neuroscience backgrounds especially in designing and conducting human behavioral experiments

We regret that only shortlisted candidates will be notified.

ASPRI-IPI, the training arm of ASPRI, is a non-profit organisation dedicated to advancing the Process Industry in Singapore. We collaborate with industry leaders, government agencies, and subject matter experts to develop and deliver high-quality training programmes.

Join us on our mission to enhance the skills and safety of the Process Industry workforce, contributing to a safer and more productive industry for Singapore.

Position Overview

This is a 2 months temporary assignment supporting both the Operation and Service Quality units in ASPRI-IPI. This role is paid hourly.

Job Responsibilities include but not limited to:

1. Daily operation

i) Centre Opening (classroom / workshop / ushering / courseware retrieving for classes that have ended)

ii) Attendance taking

iii) Minor ad-hoc request from trainers

iv) Attendance preparation for new classes

v) Courseware packing

vi) Centre Closing (refreshment packing / Courseware storing (new class) / classroom / workshop)

2. Batching

i) Checking of post-courseware and inform Ops on the follow up

ii) Updating and verifying of batch log file to ensure accuracy

3. Evaluation

i) Post-evaluation scanning

ii) Update evaluation log file

iii) Verify evaluation log file

4. Safety Pass

i) Verify safety pass (WSQ/ASTER)

ii) Verify safety pass tracker (Jimily)

You should possess the following:

• Minimum Diploma preferably in Training and Adult Education sector;
• No experience required as On-the-job training will be provided;
• Ability to effectively manage time and schedules under tight deadline and pressure;
• Strong adaptability skill, able to work independently as well as in a team;
• Strong communication skills with good customer service aptitude;
• Proficiency in Microsoft Office and other IT applications;
• Willingness to work a flexible schedule, including shift duties on workday evenings and weekends (OT will be compensated accordingly)
• Working location at Jalan Papan (shuttle pickup at Chinese Garden MRT)
• Immediate starters preferred

COMPANY DESCRIPTION

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

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

RESPONSIBILITIES

The candidate will be responsible for conducting research on developing algorithms to safeguard the security of foundation models in real-world application. Successful candidate will be part of an active research team in the School of Computing and Information Systems, Singapore Management University.

• To process and handle publicly available sequence/visual datasets.
• To develop and design approaches for building trustworthy foundation models.
• To perform large-scale empirical evaluation on the designed approaches.
• To write research reports and papers on the obtained models and results.
• To work with other team members hired for the same project.
• Other duties as assigned.

• Bachelor's/master's degree in computer science, Information Technology, Information Systems or closely related disciplines from a reputable institution of higher learning.
• Past research experience on training foundation/agentic models and hardening their security preferred.
• Proven track record and professional experience in large language models (LLMs) and multimodal LLMs.
• Demonstrated experience and know-how on machine learning and foundation models.
• Excellent working knowledge of trustworthy foundation models.
• Ability to break down complex problems and design effective solutions.
• Innovating new approaches and thinking outside the box.
• Excellent publication track records. Publications at top-tier AI/ML venues will be advantageous.
• Self-motivated individual who can work independently and collaboratively with team members.

#LI-JN2

Responsibilities

• Developing new product according to development requests and involve in improvement of existing products
• Developing application recipes to optimize product design for new and existing products
• Look out for new trends and new products in the market
• Responsible for developing prototypes for customer in a given time frame
• Evaluation of new ingredient submissions
• Conduct food tasting and sensory evaluation
• Maintain proper documentation to support costing, lab scale formulation of new and existing products and any supporting documents.
• Work closely with inter-departments on the development and launch of new or improved recipes
• Perform ad-hoc duties assigned by immediate superior

Job Requirements

• Recognised culinary qualification or similar discipline
• At least 2 - 5 year of relevant experience in restaurant/ hotel business/ food manufacturing industry
• Experience in different Asian cuisine, bakery and Dim Sum would be useful for daily R&D work
• Passionate about food product development
• Creative in food preparation and presentation
• Meticulous with good organizational skills
• Team player with good interpersonal skills
• Proficient with Microsoft Office
• Proficient in Mandarin and English (spoken and written) as need to liaise daily with Mandarin and English speaking associates

For a quicker response, apply directly through our application portal: https://boards.briohr.com/teeyihjiafoodmanufacturingpteltd-32hw8fqhzn/details/679832023668ca000888465a

Job Responsibilities:

1. Training Delivery, Facilitation & Program Ownership

• Operational & Systems Oversight: Oversee the complete operational lifecycle of training programs by coordinating end-to-end logistics—including venue management, materials preparation, and scheduling—to ensure seamless execution with minimal business disruption. This includes managing the Learning Management System (LMS) and enrolment data to provide audit-ready reporting.

• Facilitation: Facilitate and deliver engaging, interactive trainingsessions, both in-person and virtually, to staff and managers at all levels. Act as the lead trainer and subject matter expert for the following core programs:

o   Performance Management:Coaching on goal setting, effective feedback, development planning, and conducting formal reviews.

o   Mindset & Culture:Delivering foundational programs on the Outward Mindset and reinforcing organizational values.

o   Service Excellence:Designing and delivering programs to enhance customer service skills, manage difficult interactions, and promote a customer-centric culture.

o   HR & Compliance:Facilitating awareness sessions on company policies, professionalism, and organizational compliance procedures.

• Program Assessment and Improvement: Collecting and analysing post-training feedback to measure the effective transfer of knowledge and skills. Conduct regular audits and curriculum refreshes to ensure all training materials remain accurate, relevant, and aligned with evolving business objectives and industry best practices.

2. Talent Management

• Talent Review Cycle:
  Oversee the end-to-end Talent Management process, including the identification, utilizing the 9-box grid and assessment of high-potential employees

• Succession Support:Support the Talent Review cycle to ensure a pipeline for future leadership needs

3. Employee Engagement 

• Data Interpretation:
  Work with the HR team to analyse results from the Employee Engagement Survey.

• Consulting & Action Planning:
  Meet with departmental managers and leaders to review their specific engagement data, help them diagnose root causes of low engagement, and co-create tailored departmental action plans.

• Employee Engagement events: Planning and execution of internal developmental engagement events.

Job Specifications:

• Bachelor’s degree in Human Resources, Education, or a related field.
• Minimum of 2 to 4 years of dedicated experience as a Corporate Trainer or Learning & Development Facilitator.
• Proven ability to design and deliver engaging training on Service Excellence, Performance Management, and core HR-related topics.
• Exceptional classroom presence, presentation and communication skills.
• Professional certifications in training/assessment (e.g., ACTA, ACLP, or equivalent).
• Certification in or prior experience facilitating a specific behavioural framework like the Outward Mindset (e.g., Arbinger Institute).
• Strong understanding of adult learning principles and instructional design models.
• Candidates with stronger qualifications and relevant experience may be considered for appointment at a more senior level.

At Knight Frank, we are leaders in real estate advisory services, driven by our commitment to delivering exceptional property and facilities management services. Our success is built on the expertise of our people, and we strive to create a culture where innovation, teamwork, and a client-first approach are at the forefront of everything we do.

We believe that our people are our greatest strength. We seek passionate, dynamic, and motivated professionals to join our team and contribute to the seamless operation and management of world-class properties. Whether you are starting your career or a seasoned professional, we offer the opportunity to grow and thrive in a collaborative and progressive work environment.

Be part of a company that values continuous learning, career development, and a relentless commitment to excellence. If you’re ready to make a meaningful impact in the world of property and facilities management, we invite you to explore our exciting opportunities.

About the role:

As a Learning & Development (L&D) Executive, you will play a key role in supporting the administration and execution of learning and development programs across the organisation. You will assist in ensuring that training records are well-maintained and up-to-date, and engage frequently with our staff and external training providers to meet the company’s learning needs. This role is perfect for someone who’s passionate about people development, highly detail-oriented, and eager to learn and grow with our colleagues.

What you will be doing:

• Oversee the administration of course registration, certification processes, training subsidies, and payment management.
• Maintain comprehensive training records and evaluate the effectiveness of training programs to ensure they support present and future organizational goals
• Conduct regular reviews and update internal and external training courses to ensure relevance and alignment with business goals.
• Partner with management and business leaders to assess and identify training needs across the organization.
• Source, evaluate, and collaborate with external training providers to design and deliver tailored learning solutions.
• Manage and communicate the organization’s training calendar, course offerings, Standard Operating Procedures (SOP), and training policies.
• Lead and manage mentorship programs and other internal development initiatives to foster continuous learning.

What we’re looking for someone who’s:

• At least 3 years of experience in Learning & Development.
• Preferred qualifications include Advanced Certificate in Training and Assessment (ACTA) or Advanced Certificate in Learning and Performance (ACLP).
• A Diploma or higher qualification in Human Resource Management.

Why Knight Frank?

• Lots of opportunities for growth and career development.
• A supportive, collaborative team that values what you bring to the table.
• Continuous learning and development to help you advance.

If you’re ready to make an impact and grow your career in property management, we’d love to hear from you!

As a University of Applied Learning, SIT works closely with industry in our research pursuits. Our research staff will have the opportunity to be equipped with applied research skill sets that are relevant to industry demands while working on research projects in SIT.

Job Details

This Research Engineer will contribute to an international joint project related to policy-making in urban planning and design, focusing on developing a Multi-Criteria Decision-Making (MCDM) framework and tool. The work will involve integrating results from GeoTOPSIS and/or VectorMCDA in QGIS, enhancing spatial decision support for blue–green infrastructure and ecosystem service evaluation.

The Research Engineer will lead the software development and interface programming, working closely with the GIS Research Fellow and interdisciplinary project team members to create a user-friendly, scalable decision-support tool for planners and policymakers. As part of understanding the ecosystem services that are involved in Singapore, the successful candidate will also be expected to perform some field-based data collection during the duration of the project.

Key Responsibilities

• Work closely with the PI, Co-PI, and research team to ensure timely completion of all project deliverables.
• Implement and enhance GeoTOPSIS/VectorMCDA algorithms within QGIS using Python or equivalent programming frameworks.
• Develop a user-friendly interface (QGIS plugin or web-based application) for decision-making and data visualization.
• Collaborate with the GIS Research Fellow to integrate ecosystem service layers and model outputs.
• Conduct tool testing, validation, and iterative refinement based on stakeholder feedback.
• Manage documentation, data pipelines, and version control.
• Support system deployment on a secure project server and ensure cross-platform interoperability.
• Assist in project management and support the team in facilitating and organizing workshops, stakeholder sessions, and policy dialogues.
• Be involved in regular field work data collection and to perform environmental and biodiversity surveys (fish, birds and insects) as part of a research team.
• To communicate in any relevant internal or external stakeholders to ensure project deliverables are met.
• Any ad-hoc duties assigned by Supervisor.

Job Requirements

• Master’s degree in Computer Science, Software Engineering, Geomatics, Environmental Informatics, or related fields.
• Strong programming skills in Python, R, or JavaScript for spatial analysis, interface development, or web applications.
• Experience in plugin or dashboard development (e.g., PyQGIS, Dash, Streamlit, or web-GIS frameworks).
• Familiarity with GIS concepts and geospatial data structures; experience with QGIS or ArcGIS will be an advantage.
• Ability to translate analytical models into intuitive, interactive user interfaces.
• Good teamwork, documentation, and problem-solving skills.
• Self-motivated and able to learn new tools and frameworks independently.

Additional Note:
While prior experience with GeoTOPSIS/VectorMCDA is not mandatory, it will be considered a strong advantage. On-the-job training will be provided to equip the candidate with necessary methods and integration workflows with ecosystem service models and spatial datasets.

Key Competencies

• Strong programming skills (Python/R/JavaScript) for tool and interface development.
• Ability to implement or learn GeoTOPSIS/VectorMCDA methods in GIS environments.
• Good teamwork and communication skills for collaboration with the project team.
• Strong problem-solving ability, adaptability, and willingness to learn new tools.
• Good organizational and documentation skills; familiarity with GIS is a plus.

[Contract Position]

Job Description:

You will provide support to the end‑to‑end operational and administrative functions across student engagement, tutor management, and centre operations.
You will ensure that all processes - including class assignment, fee administration, attendance monitoring, curriculum material management and student retention – are carried out in accordance with organisational and divisional governance requirements and stipulated timelines.

You will play a key role in ensuring the smooth and effective delivery of STEP programmes across multiple centres.

Responsibilities:

1. Centre Management   

• Manage and support daily operations across up to seven STEP Centres to ensure smooth and efficient programme delivery   
• Provide operational guidance to about 70 auxiliary personnel (Centre Principals, Centre Administrators, Tutors, Pupil Management Officer, ICT officer and Counsellor) across the STEP Centres
• Ensure full compliance with internal controls, audit guidelines and Standard Operating Procedures (SOPs)

2. Inventory Management

• Coordinate the distribution of learning resources to students and tutors across assigned centres
• Assist in ensuring that teaching and operational resources are available in a timely manner
• Ensure accurate tracking and timely management of inventory in alignment with established processes

3. Personnel Management

• Support administrative processes related to recruitment, deployment, attendance, records updating and exit matters for auxiliary personnel
• Maintain and update personnel and operational records in the Education Management System (EMS)
• Assist in coordinating meetings, briefings, sharing sessions and other programme-related activities
• Liaise with internal stakeholders on routine administrative matters relating to programme operations

4.     Data Management

• Ensure the accuracy and timely maintenance of student records and educational resource inventories in the Education Management System (EMS)
• Generate routine reports on attendance, enrolment, tutor deployment and related operational data
• Assist in compiling data and information for management reporting and programme review

Requirements:

• Diploma or Degree in any discipline, with 2 to 3 years of relevant experience in programme administration, operations, or education support. Experience in a non-profit or education setting will be an added advantage
• Good understanding of the Singapore education landscape
• Demonstrated ability to engage and manage diverse groups of stakeholders to ensure smooth programme delivery and prompt resolution of operational issues
• Proficiency in Microsoft Office; familiarity with data visualisation tools (e.g., Excel dashboards, Power BI, Tableau) will be considered an added advantage
• Good organisational and administrative skills, with attention to detail and accuracy
• Excellent verbal and written communication skills
• Ability to work independently and collaboratively in a fast‑paced environment
• Willingness to work on weekday evenings to conduct bi-monthly centre audits, weekends and in outdoor settings, when required
• Able to participate in SINDA-wide events, when required
• Approved over-time hours will be compensated with time off or off-in lieu in accordance with internal policy

As part of our selection process, shortlisted candidates will be required to complete an Excel assessment on the day of the interview.

Candidates who perform well are shortlisted to proceed to the subsequent stage of the recruitment process.

Our Welfare:

We aim to take care of your well-being.

We provide:

• Career development opportunities
• Flexible working hours
• AWS/ Bonuses
• Health insurance
• Wellness programmes

Interested candidates are invited to submit their resumes, including current and expected salary information.  

Only shortlisted candidates will be notified. We thank all applicants for their interest.

Please note that your response to this advertisement and communications with us pursuant to this advertisement will constitute informed consent to the collection, use and/or disclosure of personal data by SINDA to carry out its business in compliance with the relevant provisions of the Personal Data Protection Act 2012.

Interested applicants are invited to apply directly at the NUS Career Portal

Your application will be processed only if you apply via NUS Career Portal

We regret that only shortlisted candidates will be notified.

Job Description

This position focuses on the design, development, and evaluation of integrated robotic systems enhanced with modern AI capabilities. The work forms part of a research programme advancing intelligent robotic platforms through the integration of embodied hardware systems with Vision-Language-Action models, enabling robots to perceive, reason, and act in real-world environments. The successful candidate will contribute to the full lifecycle of robotic system development, from mechanical design and simulation to AI integration, teleoperation, and real-world validation in laboratory and field environments.

The successful candidate will be required to:

•    Design and develop robotic platforms including mechanical structures, actuation systems, sensing modules, and embedded electronics
•    Build and integrate full robotic systems combining hardware, perception, control, and AI model components
•    Implement and integrate Vision-Language-Action models or related embodied AI frameworks for robot perception and decision-making
•    Develop robot control pipelines and interfaces for teleoperation, data collection, and learning-based control
•    Simulate robotic systems using physics-based simulators such as MuJoCo, Gazebo, or similar robotics simulation environments
•    Conduct laboratory testing and system validation of robot prototypes, including sensor calibration, motion testing, and performance evaluation
•    Deploy robotic systems in real-world environments and evaluate system robustness, autonomy, and task performance
•    Analyse experimental results and refine system design through iterative hardware-software co-development
•    Collaborate with interdisciplinary teams including robotics engineers, AI researchers, and application-domain specialists

Qualifications

•    Possess at least a bachelor’s degree (B.Eng.) in Robotics Engineering, Mechanical Engineering, Electrical Engineering, Computer Engineering, Mechatronics, or a closely related discipline.
•    Strong foundation in robot design, mechatronics, and system integration.
•    Experience with robot simulation platforms such as MuJoCo, Gazebo, Isaac Sim, or equivalent physics engines.
•    Familiarity with robotics software frameworks (e.g., ROS/ROS2, Python, C++).
•    Experience integrating AI or machine learning models with robotic systems is advantageous.
•    Prior exposure to teleoperation systems, robot learning, or embodied AI is beneficial.
•    Hands-on experience with robot prototyping, sensors, and embedded control systems is preferred.
•    Ability to conduct experimental evaluation and real-world robot testing.
•    Strong problem-solving ability and willingness to work in an interdisciplinary robotics research environment.
•    Good written and verbal communication skills.
•    Open to fixed-term contract.

Job Title

Robotics Engineer (Learning-Based Manipulation)

Role Overview

As a University of Applied Learning, SIT works closely with industry in our research pursuits. Our research staff will have opportunities to tackle real-world, industry-relevant problems, working alongside faculty members and professional officers.

The SIT Centre for Intelligent Robotics (CIR) is an applied research centre responsible for developing and maintaining core applied robotics and embodied AI capabilities for real-world deployment. CIR is seeking a Robotics Engineer to implement state-of-the-art learning-based robotic manipulation methods on physical platforms for industry-driven applications, with an emphasis on contact-rich manipulation, robustness, and safe operation. The successful candidate will work closely with physical robots to translate recent advances in learning-based robotics into reliable, deployable systems.

Key Responsibilities

• Implement, adapt, and evaluate state-of-the-art learning-based methods (e.g. imitation learning) for contact-rich robotic manipulation.
• Integrate hardware and software components into a functional system for real-world deployment.
• Design and execute field trials (test protocols, data logging, troubleshooting, reliability improvements).
• Produce technical documentation, reports, and implementation guides to support knowledge transfer and maintainability.
• Support project procurement activities (e.g., technical specifications, vendor evaluation, quotations) for robotics hardware, sensors, and compute resources.
• Contribute to publications and technical notes to disseminate research outcomes.
• To communicate and liaise with any internal and external stakeholders to ensure project deliverables are met.
• Any other ad-hoc duties assigned by supervisor.

Requirements

• Bachelor’s degree or higher in Robotics, Computer Science, Mechanical Engineering, Control Engineering, or a related field.
• Experience in imitation learning and reinforcement learning for robotics applications.
• Hands-on familiarity with robotic manipulators and motion planning.
• Proficiency in deep learning frameworks such as PyTorch or TensorFlow.
• Experience with ROS / ROS 2 for real-robot software integration.
• Proficiency in Python and C++, with good software engineering practices (version control, testing, maintainable code).
• Familiarity with robotics simulation tools such as Gazebo, Isaac Sim, or MuJoCo.
• At least 2 years of experience in robotics research or industry projects.

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

Key Job Purpose:

We are looking for an early-career Analytical Specialist to support its analytical field laboratory operations across a range of energy research projects. The candidate will be responsible for the accurate measurement and analysis of inorganic samples using a suite of laboratory and online analytical instruments. This role is integral to maintaining high-quality data streams that underpin research in areas such as seawater electrolysis, water parameter sampling and control, carbon dioxide removal, hydrogen production, and advanced energy materials. The Analytical Specialist will work closely with process engineers, research scientists, and project teams to deliver reliable analytical data and contribute to ERI@N's mission of translating research into real-world energy solutions.

Key Responsibilities:

• Perform inorganic analytical measurements on grab and online samples, including ion chromatography (IC), inductively coupled plasma (ICP), titration, TGA, XRD and pH/conductivity measurements

• Operate, calibrate, and maintain analytical instruments in accordance with standard operating procedures and manufacturer guidelines

• Collect, process, and review analytical data; perform quality checks and flag anomalous results for investigation

• Prepare calibration standards, reagents, and reference solutions to support analytical programmes

• Maintain accurate and complete records of all analytical activities, calibration logs, and instrument maintenance in laboratory logs.

• Support the development and validation of new analytical methods for novel sample matrices (aqueous based) encountered in energy research

• Collaborate with process and mechanical research teams to integrate measurements and data into process improvement cycles

• Monitor and calibrate online sensors and analysers integrated into process test rigs, ensuring data integrity and instrument uptime

• Contribute to the safe management of the analytical laboratory, including chemical handling, waste disposal, and compliance with EHS requirements

• Assist in compiling analytical results into technical reports and presentations for research and project teams

• Participate in inter-laboratory comparisons or proficiency testing exercises as required

Job Requirements:

Required educational qualification:

Bachelor's degree in Chemistry, Analytical Chemistry, Physical Chemistry, Chemical Engineering, or a closely related scientific discipline. Relevant polytechnic diploma with substantial analytical laboratory experience may also be considered.

Required experience:

3-5 years of practical experience in an analytical laboratory environment, preferably with exposure to inorganic analysis techniques. Fresh graduates with strong laboratory coursework and project experience are encouraged to apply. Familiarity with Singapore’s NEA and PUB discharge compliance parameters is desirable.

Required skills and competencies:

• Hands-on experience with inorganic analytical techniques including IC, ICP-OES/MS, titration, and electrochemical measurements (pH, conductivity, DO)

• Familiarity with grab sampling protocols and online process analyzer operation and maintenance

• Proficiency in data processing, trend analysis, and reporting using standard software (e.g., Excel, Other industry standards)

• Strong attention to detail and commitment to data quality and laboratory best practices

• Knowledge of GLP/GMP principles and experience maintaining calibration and maintenance records

• Ability to work independently and as part of a multi-disciplinary team in a fast-paced research environment

• Good written and verbal communication skills for reporting analytical findings to technical and non-technical audiences

• Self-motivated with a proactive approach to learning new techniques and methods

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

Interested applicants are invited to apply directly at the NUS Career Portal

Your application will be processed only if you apply via NUS Career Portal

We regret that only shortlisted candidates will be notified.

Job Description

A Research Engineer position is available in the Department of Materials Science and Engineering at the National University of Singapore under the direction of Dr. Peichen Zhong. This role involves using agentic AI, experimental characterization, and computational modeling while collaborating with experimentalists.

Qualifications

•    B.S. in Science or Engineering.
•    Proficiency in at least one mainstream deep learning framework (PyTorch or JAX)
•    Fundamental knowledge of physics, chemistry, and materials science.
•    Development or working experience of generative models in scientific applications (e.g., diffusion model, LLM)
•    Working knowledge of database management (e.g., MongoDB)

As a University of Applied Learning, SIT works closely with industry in our research pursuits. Our research staff will have the opportunity to be equipped with applied research skill sets that are relevant to industry demands while working on research projects in SIT.

Job Purpose 

The Research Fellow will lead the development of a Surface-Enhanced Raman Spectroscopy (SERS) biosensor platform for rapid detection of microbial bioburden in biopharmaceutical cleaning validation processes.  The role involves aptamer discovery, nanomaterial-based SERS sensor development, and integration with microfluidic systems for real-time monitoring of cleaning validation washout fluids. Opportunities to contribute to patent filings, translational research, and commercialization pathways will be available.

Key Responsibilities

Technical Responsibilities

• Design and screen high-affinity ssDNA aptamers targeting environmental microorganisms listed in the US Pharmacopeia.
• Develop nanoparticle-based SERS substrates (Ag/Au nanoclusters) for enhanced Raman signal detection.
• Design and fabricate microfluidic sensing interfaces for continuous monitoring of cleaning validation fluids.
• Perform sensor validation using Raman spectroscopy, microbial cultures, and cleaning validation samples.
• Develop data analysis pipelines for Raman spectral classification, potentially integrating machine learning methods. 

Research & Project Responsibilities

• Plan and execute experimental workflows to achieve project milestones.
• Lead prototype development and performance optimization of the SERS biosensor system.
• Communicate research outcomes through technical reports, conference presentations, and scientific publications.
• Collaborate with industry partners and interdisciplinary research teams where applicable. 

Operational Responsibilities

• Conduct risk assessments and ensure compliance with Work Safety and Health (WSH) regulations.
• Manage procurement of specialized equipment and research consumables. 

Mentorship

• Mentor research engineers, graduate students, and undergraduate researchers.
• Contribute to training activities within the research group.

Others

• To communicate in any relevant internal or external stakeholders to ensure project deliverables are met.
• Any ad-hoc duties assigned by Supervisor. 

Job Requirements

Essential

• PhD in Bioengineering, Chemical Engineering, Materials Science, Nanotechnology, Analytical Chemistry, or related fields.
• Strong publication record in biosensors, nanomaterials, Raman spectroscopy, or microfluidics.
• Demonstrated experience in nanoparticle-based biosensor development or SERS sensing platforms.
• Proficiency in CAD software (e.g., SolidWorks) for microfluidic device design.
• Experience with Raman spectroscopy instrumentation and spectral data analysis. 

Preferred

• Experience in microfluidic chip fabrication (soft lithography, PDMS, or micro-machining).
• Experience with aptamer selection or molecular recognition elements.
• Experience applying machine learning to spectral data (Raman, LC–MS, or similar).
• Experience working on translational or industry-linked research projects.

The Alibaba-NTU Global e-Sustainability CorpLab (ANGEL) represents a key collaboration between Alibaba Group and Nanyang Technological University (NTU). Supported by the Singapore RIE2025 Fund, ANGEL creates and deploys impactful green digital technologies for global sustainability.

ANGEL’s mission aligns seamlessly with Singapore’s national objectives, such as the Singapore Green Plan 2030 and the Singapore Smart Nation Initiative. ANGEL’s work in developing sustainable and equitable digital solutions and promoting a sustainable and green lifestyle will contribute to a smaller carbon footprint. Its holistic approach will help to secure a brighter, more sustainable future for humanity. 

We are seeking to hire a Research Engineer to support an advanced research programme on vector search on high-dimensional vectors. This role directly contributes to NTU’s mission of advancing cutting-edge AI technologies by developing next-generation methods that improve the performance, reliability, and efficiency of vector search systems.

The Research Engineer will work closely with the Principal Investigator and research team to design, implement, evaluate, and optimize algorithms and systems for high-dimensional vector search—an essential component of NTU’s strategic thrust in AI, computing, and digital innovation.

Key Responsibilities:

• Conduct research and development on vector search, including storage, indexing, and system building.

• Design and implement experimental frameworks, benchmarking pipelines, and prototype systems for evaluating vector search performance across hardware and software platforms.

• Collaborate with project team members to prepare technical reports, documentation, datasets, and research artifacts.

• Support the preparation of research publications, codes, and grant-related deliverables.

• Participate in regular team meetings and contribute to the problem-solving, design, and implementation of new research ideas.

Job Requirements:

• Preferably Bachelor’s degree in computer engineering, Computer Science, Electronics Engineering or equivalent.

• Independent, highly analytical, proactive and a team player

• Excellent teamwork and verbal, written communication skills

• In-depth knowledge relevant to the project domain (including algorithms, systems, data structures, machine learning).

• Demonstrated capability to conduct innovative research.

• Ability to design and implement new experimental methods.

• Ability to initiate collaboration research in multidisciplinary team.

• Oversee and report project progress.

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