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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By submitting your application for this position, you consent to the collection, use, and disclosure of your personal data by GMP Recruitment Services (S) Pte Ltd and its recruitment partners, including Employment and Employability Institute Pte Ltd, for the purpose of i) employment facilitation and ii) data and statistical analysis. You may find out more information on the PDPA policies at GMP Recruitment Services (S) Pte Ltd’s website and [https://www.e2i.com.sg/pdpa/]

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

WhatsApp me at wa.me/6580265739 or press the APPLY NOW BUTTON.

By submitting your personal data and/or resume, you give consent to the collection, use, and disclosure of your personal data and/or resume by the company (or its agent) for the purpose of the processing and administration by the company relating to this job application.

Please be notified that only shortlisted candidates will be contacted.

Sim Shu Hui Reg No.: R25129789
Griffin HR Consultancy Pte Ltd | EA License No.: 23C1449

Roles and responsibilities:

The Metals and Ceramic Forming Group is looking for an innovative and motivated Senior Research Engineer with experience in powder-bed inkjet and/or laser powder-bed fusion additive manufacturing (AM) processes to join our team. The candidate will be attached to the Additive Innovation Centre (AIC), hosted in SIMTech and supported by the National Additive Manufacturing Innovation Cluster (NAMIC), to bridge the R&D activities within the Group with the industry solutions sought by companies engaged under AIC.
This role offers opportunities to contribute to cutting-edge AM research, industry collaborations and technology development, with a strong focus on accelerating the adoption of AM towards pilot batch production and industrial deployment. As such, cross-sectorial industrial project experience will be highly advantageous.
There will be continual opportunities to grow and learn, as well as expand and improve the current set of skills through involvement, together with the team, in industry and competitively funded projects related to various AM technologies.

The roles and responsibiltiies include the following areas:

• Lead and deliver projects involving the development of AM process recipes for powder-bed inkjet, laser powder-bed fusion, and related industrial applications.
  • Operate additive manufacturing powder-bed printing systems and related post-processing equipment for end-to-end additive manufacturing solutions.
  • Perform metallic material testing, sample preparation, microstructural characterization and defect analysis for the fabricated parts.
  • Prepare technical reports and deliver project progress updates.
• Lead and manage project resources, lab operations, procurement, safety compliance and 5S housekeeping standards.
• Support outreach and knowledge sharing through seminars, training and industry events.

Job requirements:

• Bachelor"s Degree in Mechanical Engineering, Material Science, Materials Engineering or a related discipline.
• Minimum 3 years of experience in additive manufacturing.
• Experience with process parameters development and metallic material characterization.
• Proficiency in engineering CAD/CAM software such as SolidWorks, AutoCAD is preferred.
• Programming skills (e.g. Python, MATLAB, C++) are advantageous.
• Strong critical thinking, problem-solving, and hands-on technical abilities.
• Effective communication skills and ability to collaborate with team members and industry partners.
• Independent, resourceful and adaptable to a dynamic work environment.

As Singapore’s University for Industry, SIT works closely with industry partners 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 position is to deliver on a research project to develop an End-to-end misinformation and disinformation protection, awareness and mitigation pipeline. We will be recruiting a research engineers or fellows, as part of a wider project, to conduct research on: LLM/VLM, media comparison, AI-assisted explainability. The need is for a real-time system, so efficient coding is important.

Key Responsibilities:
• Participate in and manage the research project with Principal Investigator (PI) Ian McLoughlin, Co-PI Tong Rong and the research team members to ensure all project deliverables are met. 
• Undertake research within your domain, including keeping track of state-of-the-art work. Develop the code, evaluate and test. Write academic publications.
• Deliver solution-ready demonstration code.
• Interact well within the team and the customers.
• Be self-directed to fulfil the project requirements.

Job Requirements:
• Competence in working with languages such as C along with  Python-based coding and AI development.
• Have a degree in Computer Science/Computer Engineering. Possessing a Master’s or PhD degree will definitely be advantageous.
• Knowledge of machine learning, pytorch, huggingface etc...
• Knowledge of image processing is required.
• Ability to effectively and efficiently utilise industry-standard Linux-based computers for AI.
• Experience of authoring good quality academic publications.
• Manage undergraduate research assistants (if appropriate).
• Liaise with customers and collaborators in A*STAR and NTU, as well as collaborators in the UK and China.

Key Competencies:
• A self-directed worker who believes in continuous learning and development
• Proficient in academic writing 
• Possess good critical thinking skills
• Show strong initiative and take ownership of work
• Interest in AI, machine learning, image/audio processing

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

Research Engineer, Acoustic Research Laboratory, Tropical Marine Science Institute

The Acoustic Research Laboratory (ARL) undertakes research projects in the area of underwater acoustics and marine robotics. The Research Engineer will work across several projects in the lab to support the research teams on preparing & planning field experiments at sea, helping conduct the experiments, and aid with data curation and processing. Specific tasks will including preparation & testing of field equipment, permitting, field logistics, coordination with external parties (boats, vendors, etc), operation of equipment at sea, collection and curation of data, preliminary data quality checks, etc

Qualifications

- Bachelor's or equivalent degree in a relevant branch of Engineering or Science
- Interest in marine science / engineering
- Willingness to learn new skills
- Willingness to work in the field (at sea)
- Ability to work well with team members & external vendors
- Good communication skills

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 AI for Software Engineering. The candidate will be part of an active research team to be supervised by Prof. David Lo from School of Computing and Information Systems, Singapore Management University.

• Design and implement AI for software engineering solutions.
• Conduct evaluations and/or user studies to validate the effectiveness of the algorithms and tools.
• Write and publish research papers and present them to reputable academic conferences.
• Package the documents, implementation code, evaluation results of the project for public release.
• Liaise with other team members of this project to realize the overall goal of the project.
• Other duties as assigned.

• Minimum Master degree in Information Systems / Computer Science/ Information Technology / Security / Informatics Engineering / Computer Engineer / Software Engineering.
• Publication of at least a first-authored paper in reasonable AI or software engineering or cybersecurity conferences/journals (CORE A or higher).
• Excellent knowledge about software engineering and artificial intelligence.
• Highly fluent in Python and Java.
• Competent in designing and implementing algorithms and data structures.
• Excellent oral and written communication skills.
• Excellent analytical, technical and problem-solving skills.
• Self-motivated individual who can work independently and also collaboratively with team members.
• Able to work under strict deadlines.
• Research capability as evidenced by tangible deliverable i.e., at least a first-authored paper in CORE A or better conference / journal in the field of AI or software engineering.

#LI-JN2

Job Descriptions:

We seek a passionate Research Engineer to join a multidisciplinary team working on the development of novel optoelectronic quantum devices for applications in quantum sensing. The project is a collaborative effort with a a local agency partner.

Responsibilities:

• Assist in the design, fabrication, and measurement of optoelectronic quantum devices, such as single-photon detectors, based on low-dimensional van der Waals materials.
• Establish fabrication recipes, protocols, and material processing capabilities within the project and the research group.
• Lead the measurements and analysis of the experimental data. Drive the engineering and optimization of the device performance.
• Assist in the set up measuring capabilities, including a cryostat for electrical, optical, and magneto-transport measurements, and establish measurement protocols.
• Oversee equipment maintenance and capability upgrade and user training.
• Lead the reporting and communication with all involved stakeholders.
• Assist in the filing of technology disclosures and technical documentation.
• Assist in the preparation and publication of research manuscripts

Requirements:

• Bachelor or Master in Physics, Applied Physics, Material Science, Electrical Engineering, or any related field.
• Expertise in the fabrication of van der Waals heterostructures and handling air-sensitive 2D materials.
• Expertise in the fabrication and measurements of optical devices based on low-dimensional materials.
• Expertise in nanofabrication techniques such as lithography, thin film deposition, plasma etching, and 2D material processing.
• Expertise in optical setups and in performing experiments in quantum and/or nonlinear optics in the visible and near-IR range.
• Expertise in single-photon experiments.
• Expertise in measurements, analysis, and interpretation of the optical and electro-optical experimental data.
• Expertise in cryogenic techniques and in performing measurements at low temperatures.
• Experience in software programming (LabVIEW and/or Python).
• Demonstrated ability to independently plan, execute, and report on a research study.
• High-level communication skills and the ability to network effectively and interact with stakeholders.
• Demonstrated ability to work in a team and collaborate across disciplines.

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

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

We regret that only shortlisted candidates will be notified.

Job Description

The job holders are to work with PI and the research team to conduct research characterizing airborne pollutants in urban environment.  

Qualifications

One or more of (but not limited to) the following:

• Experience in applying data analytics, machine learning and handling big data
• Experience in applying Pythons functions of matplotlib, and numPy, pandas, statsmodels
• Fast learner - capable of conducting independent research and proficient literature search, review & summary with strong background in Chemical Engineering / Chemistry / Physics
• Experience in operating instruments measuring physical and/or chemical properties of airborne pollutants
• Proactive in assisting and contributing to quality scientific research publications
• Proficient in technical presentation, slide making, report writing, etc.
• Proven rounded and effective team player with strong initiative and ownership of the research project

Job Description: The candidate will participate in the research and development of multimodal multilingual large language model, implement deep learning algorithms and propose novel solutions that optimize the computational efficiency for training and inference of multimodal foundation model. He/She will need to translate and adapt the model to real-world problem and is expected to work as a team in problem analysis design solutioning, conduct evaluation to achieve stat-of-the-art performances for different benchmark. Strong problem solving, coding and communications skills are expected.

 Job Requirement:

  - BSc/MSc in ML, NLP, background in speech, national language understanding
- At least 3 years of experience
  - Proficient programming skills, familiarity with Linux
  - Strong analytical and critical thinking skills, good team player with good communication and interpersonal skills
  - Strong in local or regional languages

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.

Advanced Remanufacturing and Technology Centre (ARTC) is an industry-led Centre by the Agency for Science, Technology and Research (A*STAR) in collaboration with Nanyang Technological University (NTU). Based on a contemporary business model of public-private partnership, the Centre transforms remanufacturing and manufacturing research into industry ready solutions for cross-sectoral industry members by bringing together best-in-class global companies and R&D minds in Singapore. Currently, the ARTC works with over 100 industry members to develop advanced remanufacturing and manufacturing capabilities. The members are comprised of global MNCs, leading equipment and software providers as well as SMEs.

We are seeking an innovative and technically skilled engineer to join our team, specializing in advanced welding, especially for electron beam welding. Advanced welding is one of the key technologies for ARTC, and mainly include electron beam welding, robotic arc welding, laser welding, vacuum brazing and diffusion bonding. We are looking for the right talent with the passion and drive to join us.

JOB DESCRIPTION

 We are seeking an experienced engineer familiar with advanced joining processes, especially electron beam welding to join the Advanced E-beam and Arc Joining team. The successful candidate will play a key role in developing electron beam welding processes, novel process monitoring, rigorous WPS, and implementation of solutions for different industrial applications.

Responsibilities:

·         Develop complete electron beam welding solution, including required fixture, joint design, programs, process parameters, welding strategies and pre & post-processing for manufacturing & remanufacturing applications.

·         Develop WPS or WPQR through process optimization using DOE method for mainly semiconductor, energy and aerospace industries.

·         Perform weld performance evaluation, including analysis of defects, microstructure and mechanical properties, and the necessary sample preparation and failure mode analysis.

·         Operate electron beam systems for welding and additive manufacturing processes to support R&D and industry projects.

·         Develop, design and integrate hardware & software for process monitoring & control solution in vacuum chamber.

·         Develop customized CAD/CAM modules for advanced toolpath planning in electron beam welding.

·         Equipment and process owner for electron beam welding, ensure equipment and operators compliance, develop / maintain standard operating procedures, risk assessments and safe working procedures, provide guidance / training as required

·         Other ad-hoc relevant work for the team and A*STAR with possible secondary roles

JOB REQUIREMENTS

Minimum Requirements (Must-have)

·         Minimum bachelor's degree qualification in welding, metallurgy, manufacturing process, mechanical engineering, or an equivalent engineering degree.

·         Minimum 2 years' experience with electron beam welding and brazing in aerospace, energy, semiconductor industry.

·         Good understanding of welding principles, metallurgy and interaction of material with high-energy beam (i.e., electron beam or laser beam).

·         Strong analytical and problem-solving skills to tackle critical R&D challenges (i.e., welding of casted Inconel alloys, deep penetration welding Al6000 aluminium alloys).

·         Good communication and team working skills to collaborate with different stakeholders (customer, project manager, tech-biz, technical teams).

·         Ability to work in a dynamic fast-paced environment in an agile manner to adapt to fast-changing requirements of internal and external stakeholders

·         Strong electron beam welding knowledge and demonstrated ability to learn may also be considered.

·         Fluent with good written, spoken and comprehension skills

Preferred Skills and Experience (Good-to-have)

·         Master's degree in welding engineering, manufacturing automation or related technical program

·         Familiar with industry standards related to electron beam welding (ISO 15609-3, 13919-2, AMS 2680, AMS 2681, AWS D17.1, ASME Section IX)

·         Hands on experience in other joining processes such as vacuum brazing, diffusion bonding, PSP.

·         Experience with CAD/CAM software for tooling/fixture design and toolpath generation.

·         Experience on programming of multiple-axis system (CNC / Robot) for automated welding solutions.

·         Experience in technical presentations and preparation of research proposals, WPS / WPQR, patent application, project report & welding training courses.

·         Experience with root cause analysis and corrective actions including, but not limited to, optical and SEM fractography/metallography, hardness, chemical analysis, and mechanical testing

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.

Advanced Remanufacturing and Technology Centre (ARTC) is an industry-led Centre by the Agency for Science, Technology and Research (A*STAR) in collaboration with Nanyang Technological University (NTU). Based on a contemporary business model of public-private partnership, the Centre transforms remanufacturing and manufacturing research into industry ready solutions for cross-sectoral industry members by bringing together best-in-class global companies and R&D minds in Singapore. Currently, the ARTC works with over 100 industry members to develop advanced remanufacturing and manufacturing capabilities. The members are comprised of global MNCs, leading equipment and software providers as well as SMEs.

We are seeking an innovative and technically skilled engineer to join our team, specializing in advanced welding, especially for electron beam welding. Advanced welding is one of the key technologies for ARTC, and mainly include electron beam welding, robotic arc welding, laser welding, vacuum brazing and diffusion bonding. We are looking for the right talent with the passion and drive to join us.

JOB DESCRIPTION

 We are seeking an experienced engineer familiar with advanced joining processes, especially electron beam welding to join the Advanced E-beam and Arc Joining team. The successful candidate will play a key role in developing electron beam welding processes, novel process monitoring, rigorous WPS, and implementation of solutions for different industrial applications.

Responsibilities:

·         Develop complete electron beam welding solution, including required fixture, joint design, programs, process parameters, welding strategies and pre & post-processing for manufacturing & remanufacturing applications.

·         Develop WPS or WPQR through process optimization using DOE method for mainly semiconductor, energy and aerospace industries.

·         Perform weld performance evaluation, including analysis of defects, microstructure and mechanical properties, and the necessary sample preparation and failure mode analysis.

·         Operate electron beam systems for welding and additive manufacturing processes to support R&D and industry projects.

·         Develop, design and integrate hardware & software for process monitoring & control solution in vacuum chamber.

·         Develop customized CAD/CAM modules for advanced toolpath planning in electron beam welding.

·         Equipment and process owner for electron beam welding, ensure equipment and operators compliance, develop / maintain standard operating procedures, risk assessments and safe working procedures, provide guidance / training as required

·         Other ad-hoc relevant work for the team and A*STAR with possible secondary roles

JOB REQUIREMENTS

Minimum Requirements (Must-have)

·         Minimum bachelor's degree qualification in welding, metallurgy, manufacturing process, mechanical engineering, or an equivalent engineering degree.

·         Minimum 5 years' experience with electron beam welding and brazing in aerospace, energy, semiconductor industry.

·         Good understanding of welding principles, metallurgy and interaction of material with high-energy beam (i.e., electron beam or laser beam).

·         Strong analytical and problem-solving skills to tackle critical R&D challenges (i.e., welding of casted Inconel alloys, deep penetration welding Al6000 aluminium alloys).

·         Good communication and team working skills to collaborate with different stakeholders (customer, project manager, tech-biz, technical teams).

·         Ability to work in a dynamic fast-paced environment in an agile manner to adapt to fast-changing requirements of internal and external stakeholders

·         Strong electron beam welding knowledge and demonstrated ability to learn may also be considered.

·         Fluent with good written, spoken and comprehension skills

Preferred Skills and Experience (Good-to-have)

·         Master's degree in welding engineering, manufacturing automation or related technical program

·         Familiar with industry standards related to electron beam welding (ISO 15609-3, 13919-2, AMS 2680, AMS 2681, AWS D17.1, ASME Section IX)

·         Hands on experience in other joining processes such as vacuum brazing, diffusion bonding, PSP.

·         Experience with CAD/CAM software for tooling/fixture design and toolpath generation.

·         Experience on programming of multiple-axis system (CNC / Robot) for automated welding solutions.

·         Experience in technical presentations and preparation of research proposals, WPS / WPQR, patent application, project report & welding training courses.

·         Experience with root cause analysis and corrective actions including, but not limited to, optical and SEM fractography/metallography, hardness, chemical analysis, and mechanical testing

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: The candidate will participate in the research and development of multimodal multilingual large language model, implement deep learning algorithms and propose novel solutions that optimize the computational efficiency for training and inference of multimodal foundation model. He/She will need to translate and adapt the model to real-world problem and is expected to work as a team in problem analysis design solutioning, conduct evaluation to achieve stat-of-the-art performances for different benchmark. Strong problem solving, coding and communications skills are expected.

 Job Requirement:

  - BSc/MSc in ML, NLP, background in speech, national language understanding
- At least 5 years of experience
  - Proficient programming skills, familiarity with Linux
  - Strong analytical and critical thinking skills, good team player with good communication and interpersonal skills
  - Strong in local or regional languages

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.

School of Electrical & Electronic Engineering (EEE) is seeking a research engineer (RE) passionate about spearheading the discovery of new physics in emerging materials, especially pertaining to the development of compact, high-brightness X-ray sources. In particular, the RE will explore techniques to miniaturize particle accelerators in free-electron-driven X-ray sources. Our objective is to realize features currently available only in large scale X-ray facilities in a table-top setup. Compact, high quality X-ray sources have potential applications in industrial inspection, medical imaging and treatment, forensics, security inspection, and would also have a transformative impact on fundamental science (where X-rays have been responsible for >25 Nobel Prizes in Physics, Chemistry and Physiology/Medicine). Our research takes place at the boundary of quantum optics, particle waveshaping and nanomaterials. Read more about our work at our group website https://sites.google.com/view/ljwgroup.

Key Responsibilities:

• Discover new phenomena and develop new applications pertaining to the miniaturization of particle accelerators and X-ray sources

• Assist in fundamental research on electron-photon interactions in emerging materials and nanostructures

• Publish in world-class journals on topics related to nanophotonics and quantum physics

• Assist in supervision of undergraduate students

Job Requirements:

• Bachelor’s in physics, engineering, mathematics or related field

• Excellent English verbal/written communication skills

• Strong academic credentials and keenness to keep learning

• Passion for fundamental research and discovering new physics

• Highly productive and self-motivated in both independent work as well as teamwork

• Prior research experience on related topics is a bonus

We regret that only shortlisted candidates will be notified.