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

The Heterogeneous Integration Department at the Institute of Microelectronics (IME) is seeking a passionate and skilled Research Engineer or Senior Research Engineer to join our team. This role is pivotal in advancing state-of-the-art chip-to-wafer and wafer-to-wafer hybrid bonding processes, developing cutting-edge fabrication techniques for 2.5D and 3D packaging applications, and conducting electrical and reliability characterization. The position provides an exciting opportunity to contribute to groundbreaking technologies and collaborate with a dynamic team of researchers and external stakeholders.

Key Responsibilities

• Research and develop advanced fine-pitch flip-chip & hybrid bonding techniques for chip-to-wafer, emphasizing bonding parameter optimization and process enhancements.
• Interposer and Hybrid Bond pad fabrication for Flip Chip and Hybrid bonding applications
• Optimize Chip to wafer hybrid bonding processes, including the selection of low-temperature organic and inorganic bonding materials, surface preparation, and bonding methods.
• Conduct engineering experiments for process characterization to drive quality and yield improvements.
• Perform reliability characterization of flip-chip or hybrid-bonded packages to ensure robustness and long-term performance.
• Lead capability development projects with manageable risks and mentor less experienced colleagues.
• Collaborate with senior staff and principal investigators to develop process capability and new.
• Inspire and mentor talent in semiconductor technology, contributing to workforce development in the field.

Qualifications and Skills

Candidates should meet the following criteria:

• Educational Background: Bachelors in Materials Science and Engineering, Mechanical or Chemical Engineering, Electronics, Electrical and Computer Engineering, or a related field.
• Experience: 1 to 6 years of experience in microelectronic devices, circuits, and hybrid component integration, 2.5D/3D heterogenous integration applications.
• Technical Expertise: Hands-on experience in flip chip bonding is preferable
• Knowledge: Knowledge of hybrid bonding equipment technologies and bonding materials and methodologies, and reliability characterization is preferable, but not mandatory.
• Skills: Strong analytical and problem-solving skills. Proficiency in data analysis and interpretation and design of experiments.
• Excellent written and verbal communication abilities.
• Teamwork: Ability to work collaboratively in a research-oriented environment (OEMs, customers, and Internal stakeholders). Demonstrated ability to manage multiple tasks and projects simultaneously.
• Demonstrated expertise in heterogeneous integration, hybrid bonding, and advanced packaging processes.

What We Offer

• The opportunity to work on cutting-edge research in advanced packaging and heterogeneous integration.
• A collaborative and interdisciplinary work environment.
• Access to state-of-the-art facilities and resources.

Join us in shaping the future of semiconductor technologies and heterogeneous integration. Apply today!

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)

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

We are looking for an experienced Chemical Process Engineer to join its research and technology team. The successful candidate will work within an interdisciplinary environment focused on developing and scaling advanced seawater electrolysis, carbon dioxide removal and related chemical processes. The role requires a mid-senior professional who brings hands-on expertise in plant operations, process troubleshooting, optimization, and engineering to advance ERI@N's mission of deploying real-world energy solutions. The Engineer will be pivotal in bridging laboratory-scale research with pilot and demonstration-scale process engineering, and process operations, thereby contributing directly to Singapore's decarbonization and energy security objectives.

Key Responsibilities:

• Operate, monitor, and maintain pilot-scale and demonstration chemical process plants, ensuring safe, reliable, and efficient performance

• Lead systematic troubleshooting of process upsets, equipment failures, and off-spec conditions; implement and document corrective actions

• Identify and drive process optimisation opportunities to improve yield, energy efficiency, safety, and cost-effectiveness

• Develop, review, and update process engineering documentation including PFDs, P&IDs, SOPs, and HAZOP studies

• Support scale-up activities by translating R&D findings into process design packages and engineering specifications

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

• Conduct root cause analysis (RCA) and failure mode analysis for recurring process or equipment issues

• Ensure compliance with EHS regulations, workplace safety requirements, and institutional guidelines at all times in compliance with Singapore regulations

• Prepare and present technical reports, progress updates, and recommendations to project stakeholders

• Support procurement, commissioning, and qualification of new process equipment

• Support in operator training for the process and in compliance with local Singapore WSH requirements

Job Requirements:

Required educational qualification:

Bachelor's or Master's degree in Chemical Engineering, Process Engineering, or a closely related discipline. Candidates with a Ph.D. and relevant industrial experience are also welcome.

Required experience:

7-10 years of hands-on experience in plant operations, process engineering, or a related chemical/industrial role. Experience in energy, hydrogen, electrolysis, electrochemistry, water treatment, desalination, membranes, and specialty chemicals is advantageous.

Required skills and competencies:

• Demonstrated proficiency in process troubleshooting, root cause analysis, and optimisation methodologies

• Strong working knowledge of process engineering tools and standards (PFDs, P&IDs, HAZOP, MOC)

• Experience with chemical process simulation software (e.g., HYSYS, Aspen Plus, or equivalent) is preferred

• Familiarity with safety management systems, WSH and EHS regulatory requirements in Singapore, and local operational permits for chemical inventory management

• Excellent analytical and problem-solving skills with a data-driven approach

• Strong communication and collaboration skills; ability to work effectively in a multi-disciplinary team

• Self-motivated, proactive, and capable of working with minimal supervision

• Organized, detail-oriented, and experienced in preparing high-quality technical documentation

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

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.

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.

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.

Key Responsibilities

• Participate in and manage research projects with the Principal Investigator (PI), Co-PI and research team members to ensure all project deliverables are met.
• Support research activities in one or more of the following areas:
  i. Advanced welding and automation technologies for steel fabrication and construction
  ii. Experimental investigation of high-strength aluminium alloy structures
  iii. Development and testing of lightweight and long-span earth retaining and stabilising structures
  iv. AI-enabled structural analysis, optimisation and design tools for high-efficiency, low-carbon composite building systems
• Plan and conduct experimental work, including but not limited to:
  i. Material and component testing
  ii. Structural behaviour testing of steel and aluminium members/connections
  iii. Fabrication trials and validation of welded structural components
  iv. Data acquisition, instrumentation and monitoring during laboratory testing
• Perform numerical modelling and simulation, such as finite element modelling, parametric studies, and calibration against test data.
• Analyse experimental and numerical results, and prepare technical reports, presentations and publications.
• Assist in the development of design methodologies, engineering recommendations, and data-driven or AI-enhanced workflows for structural applications.
• Coordinate procurement, laboratory set-up, testing schedules, and liaison with vendors/suppliers and industry collaborators.
• Communicate with relevant internal and external stakeholders to ensure project deliverables and milestones are achieved.
• Carry out risk assessment and ensure compliance with Work, Safety and Health regulations.
• Work independently, as well as within a multidisciplinary team, to ensure proper operation and maintenance of equipment and research facilities.
• Support grant reporting, project documentation, intellectual property development, and other ad hoc duties as assigned.
• 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 Civil Engineering, Structural Engineering, Mechanical Engineering, Materials Engineering, or a related discipline.
• Demonstrated knowledge in at least one of the following areas:
• Structural steel or aluminium structures
• Welding, fabrication, or construction automation
• Experimental structural testing and instrumentation
• Numerical modelling and simulation
• AI/data-driven methods for engineering applications
• Familiarity with engineering software such as ABAQUS, ETABS, MATLAB, Python, or equivalent will be an advantage.
• Prior experience in laboratory testing, data analysis, or industry-related engineering projects will be an advantage.

Key Competencies

• Ability to build and maintain strong working relationships with internal and external stakeholders.
• A self-directed learner with a strong commitment to continuous learning and professional development.
• Strong technical writing and presentation skills.
• Excellent analytical and critical thinking abilities.
• High level of initiative, responsibility, and ownership of work.
• Ability to work effectively both independently and within multidisciplinary research teams.
• Good project coordination and time management skills.
• Strong interest in applied research with industry relevance and real-world impact.

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.

The primary responsibility of this role is to deliver an industry innovation research project as part of a research team developing molecular and sequencing workflows for microbial characterization. The work supports the rapid detection of microbial bioburden in biopharmaceutical cleaning validation using a Surface-Enhanced Raman Spectroscopy (SERS) biosensor platform. Responsibilities include next-generation sequencing (NGS), qPCR-based molecular assays for microbial quantification and aptamer validation, and experimental support for aptamer discovery targeting environmental microorganisms listed in the US Pharmacopeia.

Key Responsibilities

Technical Responsibilities

• Perform microbial community characterization using next-generation sequencing (NGS) platforms such as Illumina sequencing or Oxford Nanopore sequencing. 
• Design and perform qPCR-based molecular assays for microbial quantification and aptamer validation.
• Prepare DNA sequencing libraries, including nucleic acid extraction, amplification, and library preparation. 
• Conduct basic bioinformatics processing of sequencing data, including sequence quality control and taxonomic profiling where required.
• Support aptamer discovery and validation experiments, including nucleic acid preparation, amplification, and molecular characterization.
• Perform routine molecular biology techniques such as PCR, gel electrophoresis, DNA purification, and nucleic acid quantification.
• Maintain accurate laboratory records and experimental documentation.

Research & Project Responsibilities

• Plan and execute experimental workflows to support project milestones related to microbial detection and biosensor development.
• Contribute to sequencing-based microbial profiling of environmental and cleaning validation samples.
• Work collaboratively with project investigators and interdisciplinary teams to integrate sequencing and molecular biology results with biosensor development.
• Prepare technical reports and contribute to scientific publications, presentations, and project documentation.
• Support generation of experimental data required for project validation and milestone reporting. Operational Responsibilities
• Ensure laboratory compliance with Work Safety and Health (WSH) regulations and institutional safety guidelines.
• Manage procurement and inventory of molecular biology and sequencing consumables.
• Maintain laboratory equipment used for molecular biology and sequencing workflows. Mentorship
• Support training of junior researchers, research assistants, and students where required. 
• Contribute to knowledge sharing within the research group.
• 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

• Bachelor’s degree in Molecular Biology, Microbiology, Biotechnology, Bioengineering, or a related field. Possessing a Master’s or PhD degree will be advantageous
• Hands-on experience with next-generation sequencing technologies, such as Illumina or Oxford Nanopore sequencing platforms including sequencing library preparation
• Demonstrated experience working with environmental or low-biomass microbial samples.
• Demonstrated experience with DNA extraction and PCR amplification
• Demonstrated experience performing qPCR assays for nucleic acid quantification and molecular analysis, including troubleshooting
• Demonstrated experience with aptamer technologies or nucleic acid-based molecular recognition systems.
• Strong laboratory skills in molecular biology techniques.

Preferred 

• Familiarity with microbial community sequencing workflows such as 16S rRNA sequencing or metagenomic analysis.
• Demonstrated experience with bioinformatics tools for sequencing data processing (e.g., quality control, taxonomic classification, microbial community analysis). 
• Demonstrated experience working in interdisciplinary or industry-linked research projects.

Key Competencies

• Strong experimental design and troubleshooting skills in molecular biology. 
• Ability to independently conduct laboratory experiments and manage datasets.
• Strong scientific communication skills, including technical reporting and presentations.
• Ability to collaborate effectively with multidisciplinary research teams.
• Good organizational and project management skills.

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.

Key Responsibilities

• Participate in and manage the research project with the Principal Investigator (PI), co-PIs, research team and industry partners to ensure all project deliverables are met.
• Conduct insights-driven evaluations of existing QA/QC testing practices and identify opportunities to enhance efficiency and reduce redundant testing while maintaining compliance.
• Curate, standardize and integrate historical and statistical data to form the foundation of a structured database for construction QA/QC and traceability.
• Design and implement a digital chain-of-custody framework that captures assurance records including mill certificates, fabrication data, inspection results and carbon footprint information.
• Develop, train and validate AI models to automate QA/QC processes, enabling real-time verification, anomaly detection and consistency checks across records.
• Develop a cloud-based verification platform for digital data collection and real-time analytics.
• Develop and apply non-destructive testing (NDT) methods and data-driven approaches to determine material properties of reclaimed steel.
• Investigate geometric imperfections, accumulated deformations, and their impact on structural performance, particularly for compression members.
• Develop data-driven reusability assessment platforms integrating NDT data, machine learning models, and RFID-enabled traceability systems.
• Prepare and draft technical reports, conference/journal papers, and presentation materials; present research findings to internal reviews, industry partners and stakeholders.
• Engage with industry stakeholders throughout development, testing and refinement to ensure alignment with real-world requirements.
• 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, Data Science, Civil/Construction Engineering, Engineering Systems or equivalent.
• Strong foundation in data engineering, AI/ML development, and software systems (e.g., data pipelines, cloud services, dashboards, web-based application development).
• Experience in handling real-world datasets and model development/deployment workflows.
• Domain expertise in building construction/civil/structural engineering, including familiarity with building management systems, software integration, data collection and analysis.
• Knowledge of construction QA/QC and quality control workflows (e.g., inspection processes, test documentation, traceability and compliance records) is an advantage.
• Strong background in structural engineering, structural mechanics, or steel structures.
• Familiarity with non-destructive testing (NDT) techniques for structural materials is desirable.
• Experience with structural modelling and analysis tools (e.g., finite element modelling, structural simulation) is desirable.
• Good interpersonal, written and verbal communication skills, with the ability to work independently and in multidisciplinary teams.
• Strong analytical and conceptual abilities; able to work both in a team and independently.
• Able to work under pressure and meet deadlines.

Key Competencies

• Proficient in Python or other equivalent programming languages.
• Strong foundation in data analytics and data-driven modelling.
• Able to build and maintain strong working relationships with people within and external to the university.
• Able to work independently with strong data analytical skills, communication and interpersonal skills.
• Self-directed learner who believes in continuous learning and development.
• Proficient in technical writing and presentation.
• Possess strong analytical and critical thinking skills.
• Show strong initiative and take ownership of work.

Role Description

You will be playing a pivotal role in advancing semiconductor fabrication automation. You will be responsible for deploying and optimizing automation frameworks, integrating IoT hardware/software, and enabling seamless communication between Autonomous Mobile Robots (AMR), SECS/GEM protocols, Manufacturing Execution Systems (MES), and semiconductor tools.

Responsibilities

• MES Integration & Vendor Coordination: Collaborate with vendors to evaluate, configure, and deploy robust communication systems between MES, tools, and AMR.
• Software Development & Web UI Creation: Design and develop intuitive web-based user interface for seamless user interaction, system monitoring, and operational control.
• Automated Data Analytics & Visualization: Generate automated periodic insights, analytics, reports, visualizations, and alerts to support real-time decision-making processes.
• System Maintenance & Optimization: Conduct periodic data integrity checks, implement automated failure alerts, troubleshoot system issues, and enhance automation frameworks with innovative features for existing and new systems.
• Semiconductor Fab Automation: Responsible for proposing/developing/implementing/maintaining IOT automation systems collecting/cleaning/restructuring equipment data and storage in data management system. Create equipment and operator interface enabling the ease of user entry with digital recording

Requirements

• Degree in Microelectronics/Electrical/Mechanical/Chemical Engineering or equivalent
• Technical Proficiency: Strong programming skills in PHP, JavaScript, Python, or other languages commonly used in web technologies and semiconductor automation.
• Data Analysis & Automation Expertise: Experience in data synthesis, reasoning, and analysis, with a keen ability to develop automation solutions for complex processes. Experience in AMHS (Automated Material Handling System) is a plus.
• Industry Knowledge: Preferably 1-3 years of MES system administration experience in semiconductor process modules, equipment engineering, or digital transformation/ automation.

To apply, please visit www.gmprecruit.com
To learn more about this opportunity, please contact Fiona Koh at fiona.koh@gmprecruit.com
We regret that only shortlisted candidates will be notified.
GMP Technologies (S) Pte Ltd | EA Licence: 11C3793 | EA Personnel: Fiona Koh| Registration No: R1109239

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My client is seeking a Researcher / Senior Researcher with expertise in Carbon Capture & Storage (CCS) to support advanced research and development initiatives. This role focuses on developing innovative CCS technologies, conducting proof-of-concept studies, and translating research outcomes into practical, value-driven solutions through close collaboration with internal teams and external stakeholders.

Key Duties:

• Conduct R&D in carbon capture and storage, including technology evaluation, modelling, simulation, and performance prediction activities
• Develop and evaluate service designs and business models correspondent to CCS solutions
• Plan and execute Proof-of-Concept (PoC) projects to validate technical feasibility and real-world application
• Engage customers to understand technical requirements and support solution proposal development
• Prepare technical reports, proposals, and presentation materials
• Collaborate with global research teams and cross-functional stakeholders to develop and deliver integrated solutions

Key Requirements:

• Master Degree in Engineering, Environmental Science, Chemical Engineering, Energy Systems, or a related discipline
• At least 2 years experience in carbon capture & storage (CCS), carbon management, decarbonisation technologies, or related R&D fields
• Strong background in research activities including technology assessment, modelling, simulation, and data analysis

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Please be notified that only shortlisted candidates will be contacted.

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Griffin HR Consultancy Pte Ltd | EA License No.: 23C1449