Total 31 construction engineer job vacancies in Education / Training category in Singapore

Introduction to The Centre for Precision Fermentation and Sustainability:

The Centre for Precision Fermentation and Sustainability (PreFerS) is a research program hosted by the Illinois Advanced Research Center at Singapore Ltd. (Illinois ARCS). The program aims to develop advanced fundamental sciences and technologies to implement fermentation-based production of foods and food ingredients, and also to enhance food security and sustainability in Singapore, particularly addressing the micronutrient food insecurity through precision fermentation.

About This Role:

We are seeking a highly motivated and skilled Research Engineer to join our dynamic team. The successful candidate will contribute to cutting-edge research in the field of precision fermentation and sustainability, focusing on developing innovation fermentation process and sustainable practices. This role offers an exciting opportunity to work on research aimed at addressing global challenges in food production, environmental sustainability, and bioengineering.

Key Responsibilities:

• Participate in and manage the research project with Principal Investigator (PI), Co-PI and the research team members to ensure all project deliverables are met.
• Undertake these responsibilities in the project:

i. Design, plan and conduct laboratory experiments, carry out data analyses, record the outcome of the

experiments, and write up the results of own research as well as research progress with minimum

supervision

ii. Communicate research outcomes through technical reports and presentations

iii. Assist in any other duties that are delegated by the Principal Investigator

• Carry out Risk Assessment, and ensure compliance with Work, Safety and Health Regulations.
• Coordinate procurement and liaison with vendors/suppliers.
• Work independently, as well as within a team, to ensure proper operation and maintenance of equipment.

Job Requirements:

• Have relevant competence in the areas of cell engineering or genetic engineering.
• Have a bachelor degree in biotechnology, molecular biology, biological science, life sciences, biochemistry or a related area. Possessing a Master’s degree will be advantageous.
• Have good knowledge of analytical tools and molecular biology techniques.

Application Process:

Interested candidates should submit their resume/CV together with a cover letter outlining their qualifications and relevant experience for the position.

Shortlisted candidates will be contacted for further assessment.

The Research Engineer will work under the Senior Researcher of Obayashi Construction Tech Lab Singapore (OCLS) on a collaborative research project with a university in Singapore. In this project, the Research Engineer will be involved in the development of a robotics- related platform and will also conduct tests by bringing the robot to construction sites and handling on-site debugging.

Job Responsibilities:

• Contributing to the development of robotics-related platforms, ensuring alignment with project goals and specifications.
• Creating comprehensive test cases to evaluate platforms functionality and performance.
• Conducting acceptance testing of programs developed by the university to ensure they meet project specifications and standards.
• Assessing the compatibility of robotics-related platforms with construction robots in the market to ensure smooth integration and operational efficiency.
• Developing and testing the adapter for industrial construction robots leveraging open-RMF
• Conducting field tests by deploying robots and the platform at construction sites to evaluate performance and functionality.
• Performing on-site debugging and troubleshooting to address any issues that arise during testing.
• Documenting research findings and contributing to project reports and presentations.
• Defining and managing the detailed project specifications and requirements.
• Assisting in the planning and execution of robotics-related events, including support for coordination, logistics, and on-site management.
• Supporting for the formulation of strategies for the commercialization of research results and business initiatives in the field of construction robotics.
• Other related tasks as required by job role.

Minimum Qualification:

• Master’s degree in Robotics, Mechanical Engineering, or Electrical Engineering related field.
• 2-5 years work experience

Knowledge/Skills/Abilities:

• Experience with Ubuntu, docker, ROS2
• Coding in C++, Python
• Project management experience
• Coding in JavaScript, TypeScript
• Experience with Gazebo/Isaac Sim
• Knowledge in data base / edge computing / front-end
• Construction industry experience
• BIM tools

Company Introduction

SepPure Technologies is a CleanTech company revolutionizing energy-intensive chemical separation processes through the application of novel membrane materials and processes. We are passionate about making a positive impact on the world through sustainable technology. Our chemical-resistant nanofiltration membranes are disrupting traditional chemical separation processes, such as distillation and evaporation, reducing global energy use, emissions, and pollution. With up to 15% of the world's total energy spent on industrial-scale chemical separations, SEPPURE's sustainable process is a game changer. We are currently working on transformative projects in the edible oil, pharmaceutical, semiconductor, solvents, and fine-chemical industries. If you enjoy working in an innovative environment and want to be part of creating a sustainable future through CleanTech innovation, we have a great opportunity for you.

Job Description

SepPure Technologies is seeking a dedicated and detail-oriented Research Engineer to join our Applications Team in Singapore. The Research Engineer will work closely with the team to develop flatsheet and hollow fibre membranes for organic solvent nanofiltration applications. The Research Engineer will also be required to plan and conduct experiments to evaluate the performance of membranes, based on robust engineering and scientific techniques. The Research Engineer may also be required to assist in the evaluation of data and provide recommendations for membrane development.

Key Responsibilities

Membrane research and development

• Keep up-to-date with latest membrane technology development
• Support the development of dope formulation for membrane fabrication
• Modify processes to improve membrane performance
• Develop methods for membrane characterisation and performance evaluation
• Ensure high repeatability for experiments and data collection
• Maintain documentation and databases for research and development

Qualifications

Must have:

1. B.Sc in chemical engineering or related fields
2. Good understanding of polymer chemistry, design of experiment, data analysis and process troubleshooting
3. Good problem-solving skills
4. Team player with strong communication skills

Good to have:

1. Working experience in developing hollow fiber or flat sheet membranes

Worked in a lab environment.

ISCE2 is looking for a highly motivated candidate to join Advanced Characterization and Instrumentation (ACI) Division. This candidate will play an important role to contribute the following and ensure successful and sustainable operations for our ACI technical domains.

• Maintain quality management system and support material characterization requirements for technical domains "Chromatography and Mass Spectrometry" and "NMR, Physical and Thermal Characterization".
• Chromatography and Mass Spectrometry Domain - HPLC / LC-QTOF / LCMS-MS / CIC / GPC / ICP-OES / ICP-MS / GC / TD, PY, HS-GCMS / Gas sampling and analysis, etc.
• NMR, Physical and Thermal Characterization Domain - NMR, FTIR, UV, BET, SDT, TPDRO, EA, Rheometer, Tensile Testing, etc.
• Foster strong partnership and close collaborations with both internal R&D and external key industry stakeholders.
• Demonstrated competency in managing analytical instruments. This includes applying specialised knowledge to build deeper understanding for method development / validation and equipment calibration / troubleshooting / maintenance.
• Conduct analytical training for laboratory personnel, ensure appropriate competency before certifying them as authorised users.
• Strong focus and compliance with health, safety and environment requirements (laboratory safety, general housekeeping, chemical storage, waste disposal, etc).
• Good interpersonal and communication skills to interact with various project stakeholders, both internally and externally, through routine updates, written reports and/or meeting presentations.
• Participates in R&D project meetings to provide technical inputs as when required.
• Some knowledge in electronic laboratory information systems that connect with analytical data handling or workflow projects will be an advantage.
• Procurement duties – Laboratory supplies, equipment consumables and maintenance services.
• Minimum 3 years of experience.

ISCE2 is looking for a highly motivated candidate to join Advanced Characterization and Instrumentation (ACI) Division. This candidate will play an important role to contribute the following and ensure successful and sustainable operations for our ACI technical domains.

• Maintain quality management system and support material characterization requirements for technical domains "Chromatography and Mass Spectrometry" and "NMR, Physical and Thermal Characterization".
• Chromatography and Mass Spectrometry Domain - HPLC / LC-QTOF / LCMS-MS / CIC / GPC / ICP-OES / ICP-MS / GC / TD, PY, HS-GCMS / Gas sampling and analysis, etc.
• NMR, Physical and Thermal Characterization Domain - NMR, FTIR, UV, BET, SDT, TPDRO, EA, Rheometer, Tensile Testing, etc.
• Foster strong partnership and close collaborations with both internal R&D and external key industry stakeholders.
• Demonstrated competency in managing analytical instruments. This includes applying specialised knowledge to build deeper understanding for method development / validation and equipment calibration / troubleshooting / maintenance.
• Conduct analytical training for laboratory personnel, ensure appropriate competency before certifying them as authorised users.
• Strong focus and compliance with health, safety and environment requirements (laboratory safety, general housekeeping, chemical storage, waste disposal, etc).
• Good interpersonal and communication skills to interact with various project stakeholders, both internally and externally, through routine updates, written reports and/or meeting presentations.
• Participates in R&D project meetings to provide technical inputs as when required.
• Some knowledge in electronic laboratory information systems that connect with analytical data handling or workflow projects will be an advantage.
• Procurement duties – Laboratory supplies, equipment consumables and maintenance services.

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

About Us
The National University of Singapore invites applications for Research Assistant (Engineer) in the Alice Lee Centre for Nursing Studies, Yong Loo Lin School of Medicine. The Alice Lee Centre for Nursing studies consist of a team of passionate and committed faculty, who takes pride in conducting multi-disciplinary and innovative research in different aspects of healthcare. Our commitment enables the translation of research into impactful healthcare outcomes and improve lives. More information on the department is available at https://medicine.nus.edu.sg/nursing/

The Role
In this position, you will be working on software engineering for implementing source code to develop a stand-alone mobile app-based platform for the collection, analysis of
data related to managing heart conditions. You will work closely with software engineers, data analysts, project managers and industry partners to produce software design and architectures for prototyping and validating platforms towards managingwellness for end users.

Responsibilities

What Will The Role Include
• Collaborate with the design team, other software engineers and product managers to design, build, enhance, and test new features
• Write clean and maintainable code that is properly tested and reviewed
• Understand the product thoroughly; Analyse, design and develop functionalities based on product requirements
• Work with researchers to implement and develop parallel and distributed systems
• Identify and fix problems to improve stability and user experience
• Explore and evaluate the practicality of new technologies to improve existing processes and/or products
• Participate in regular development meetings and client engagement events

Qualifications

• Bachelor's or Master’s degree in Computer Science, and Computer Engineering
• 2-3 years of front-end software engineering experience; candidate should prepare their software engineer portfolio repository for review
• Experience with iOS mobile app development is a must
• Knowledge of at least one of the server-side languages (Java, .NET, Python, Docker, Flask)
• Proficiency with fundamental front-end languages such as HTML, CSS, React Native, Flutter and JavaScript
• Understanding of JavaScript frameworks such as Angular JS, React
• Experience with prototyping software (Figma Developer Mode) is a must
• Candidate should be organized, meticulous, independent and has good communications skills
• Candidate should be able to work independently as well as be a player in multidisciplinary teams

Application

Remuneration will be commensurate with the candidate’s qualifications and experience. Preference will be given to those with previous experience in project management and relevant research. Informal enquiries are welcome and should be made to Dr Abhinit Kumar Ambastha, E-mail: [email protected]
Formal application: Please submit your application, indicating current/expected salary, supported by a detailed CV (including personal particulars, academic and employment history, complete list of publications/oral presentations and full contacts of three (3) referees to the NUS Career Portal.

Job Position:

Mechanical Engineer

Job Description:
We would like to recruit a Mechanical Engineer to aid our team in the development of a custom 3D printer. The machine would require a complex tool swapping system for custom built extruders. Furthermore, it will require automation mechanisms to increase production volume and efficiency
• Design and develop a 3D printer, including the kinematics, electronics, and thermal components. Generating a BOM of all parts required based on knowledge of 3D printing systems.
• Generate a detailed CAD model that shows the assembly process of the machine, to be provided to suppliers for the purchasing of parts.
• Generate custom G-Code to accommodate for the tool changing
• Generate custom G-Code for the automation mechanisms
• Include safety precautions for the multiple extruders and build plate
• Optimise the design as the project progresses through troubleshooting design flaws during testing, allowing for a more reliable printer.

Required/Preferred Skills:

• CAD Profiency
• Product Design and Design for Manufacturing & Assembly
• Electrical wiring and Electronics
• Problem-Solving
• Testing and Validation
• Project Management
• Familiarity and experience assembling and upgrading FDM systems
• Enthusiasm in building and problem solving

Required/Preferred Qualifications:

Bachelor’s or master’s degree in mechanical engineering, Mechatronics, or a related field.

Experiences:

3+ years of experience in mechanical design, preferably with building customised 3d printer experience and related AM skills

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 project aims to investigate the performance of cementitious materials and 3D printed concrete against ballistic impact. The researcher will be required to cast and fabricate the various cementitious materials and 3D printed concrete, prepare the logistics and perform the relevant ballistics tests.

Job Requirements

The research fellow should have at least 3 years relevant experience in the following two areas:
• 3D concrete printing;
• Conducting laboratory ballistic tests.

Role Overview

This position focuses on contributing to projects aimed at enhancing products and engineering processes. Responsibilities include performing technical evaluations, setting up tools and workflows, conducting hazard analyses, validating processes, and ensuring successful integration of project outcomes into production operations.

Core Duties

• Actively participate in projects designed to enhance products and refine processes.
• Conduct risk evaluations (e.g., FMEA) to define operational workflows and establish control mechanisms.
• Lead qualification and validation activities for tools and workflows related to enhancement initiatives.
• Ensure project milestones are achieved within planned timelines and allocated budgets.
• Fine-tune new or updated processes to improve product standards and maximize equipment performance.
• Investigate and implement innovative techniques to enhance quality or efficiency.
• Oversee the transition of new or updated processes to production, ensuring robust controls and efficiency.
• Deliver training sessions to operators and relevant teams on operational best practices.

Required Skills and Qualifications

• Bachelor’s degree in Engineering disciplines such as Mechanical, Industrial, Manufacturing, or Biomedical, or an equivalent qualification.
• Solid understanding of mechanical systems and material properties.
• Background in operational oversight and knowledge of lean production methods.
• Experience working within cleanroom environments or similar controlled settings.
• Ability to draft technical reports, business communications, and procedural documentation effectively.

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

We are seeking a highly motivated Research Engineer to join our team, specializing in the hands-on experimentation and characterization of materials. The successful candidate will work closely with the research team to conduct materials characterization, perform electrochemical testing, and contribute to the development of innovative solutions for lithium battery recycling. This role requires a candidate with hands-on experience in material science techniques and electrochemical methods.
Key Responsibilities:

1. Perform experiments and characterization of materials using analytical techniques such as ICP, XRD, and FTIR.
2. Conduct electrochemical analysis, including cyclic voltammetry, LSV and other related techniques.
3. Prepare samples for testing and ensure proper calibration and maintenance of equipment.
4. Analyze and interpret experimental data, providing clear and concise reports to the research team.
5. Collaborate with cross-functional teams to ensure experimental objectives are achieved.
6. Maintain accurate records of experiments and uphold laboratory safety protocols.
7. Assist in troubleshooting and optimizing experimental procedures as needed.
8. Assist in lab procurement activities.

Qualifications

1. Bachelor’s or Master’s degree in Materials Science and Engineering, Chemical Engineering, or a related field.
2. Hands-on experience with material characterization techniques such as ICP, XRD, SEM and FTIR.
3. Proficiency in electrochemical methods is highly preferred.
4. Strong analytical and problem-solving skills with attention to detail.
5. Effective communication skills, both written and verbal, to document and present findings.
6. Ability to work independently as well as collaboratively within a team.
7. Knowledge of laboratory safety protocols and best practices.
8. Experience in data analysis and interpretation software (e.g., Origin).
9. Familiarity with additional characterization techniques is an added advantage.
10. Prior experience in an R&D or industrial laboratory setting.

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 Electrical and Computer Engineering (ECE) Department at the National University of Singapore (NUS) is seeking qualified applicants for the position of Research Engineer to join our team and contribute to our ongoing research projects related to IC design.

Responsibilities:

• Explore heterogeneous systems with silicon chips being integrated on unconventional substrates such as flexible and stretchable, for ultra-low power always-on and intelligent silicon platforms.
• Work on innovative circuit techniques with very wide power-performance scaling to minimize the system energy while providing targeted levels of performance on demand. Such techniques will be investigated for digital sub-systems in advanced technologies.
• Be responsible to conduct research at the circuit level, defining and validating design options and defining new integrated circuit techniques.

We offer a competitive salary commensurate with qualifications and experience, along with a stimulating research environment and access to state-of-the-art facilities. This is a full-time position with an initial contract duration of 12 months, with potential for renewal based on performance and funding availability.

Qualifications

The candidate must possess:

• Possess a Bachelor/Master’s degree in either Electrical Engineering or strictly related (e.g., Computer, Communication, or Information Engineering).
• Activity performed in multiple research environments and industrial experience are highly valued.
• Expertise on the project scope, ultra-low power always-on and intelligent silicon platforms.
• Knowledge on circuit and system-level chip design is valued.
• Analytical and problem-solving skills.
• Open to fixed term contract.

Project Overview

SMART CAMP (Critical Analytics for Manufacturing Personalized-Medicine) is an interdisciplinary research programme in Singapore (CREATE international research campus and innovation hub) and at the Massachusetts Institute of Technology (MIT). SMART CAMP addresses key technology bottlenecks in cell therapy manufacturing: (i) critical quality attributes (CQA) of safe, effective cell therapy products; and (ii) integrated process analytics to monitor and modulate those attributes. Our efforts are focused on allogeneic and autologous cell therapy products, including but not limited to cell sources including adult stem/progenitor cells and immune cells for treatment of specific cancers, tissue degeneration, and autoimmune diseases.

Responsibilities

The successful candidate will support interdisciplinary projects focused on translating candidate safety Critical Quality Attributes (CQAs) to improve the safety of cell therapy products and patient safety. He/She will work under the supervision of postdoctoral associates in SMART CAMP, with mentorship by principal investigators in Singapore and MIT. The successful candidate’s primary activities include but are not limited to routine mammalian cell culture maintenance and expansion, clinical sample processing and molecular-based activities according to established protocols in SMART CAMP, as well as general housekeeping and maintenance of lab inventory, consumables, SOPs and risk assessments.

Requirements

• Bachelor of Science degree, or Diploma in a biology-related discipline with minimum 1 year working experience
• Experience in mammalian cell culture is essential
• Experience in molecular biology is essential e.g., nucleic acid isolation, amplification (qPCR, dPCR or isothermal amplification assays) and detection
• Comfortable to work meticulously with clinical samples
• Comfortable/willing to work with BSL2 viruses
• Experience in cell manufacturing is an advantage
• Motivated to learn and achieve high consistency and reproducibility in experimental output
• Detail-oriented with good organizational skills, record keeping and time management

To apply, please visit our website at: https://portal.smart.mit.edu/careers/career-opportunities

Interested applicants are invited to send in their full CV/resume, cover letter and list of three references (to include reference names and contact information). 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

IC Designer, designing high frequency circuits targeting for transceiver applications, employing CMOS technology. The candidate needs to come up with novel architecture with speed, power, and area advantage compared to existing architecture.

The job also includes circuit design, pre and post-layout simulation, mask layout and PCB testing.

Qualifications

• Bachelor or Master degree in Electrical Engineering.
• Experience in EDA tools usage, including Cadence, Spectre, EMX, Synopsys, as well as Matlab.
• Some knowledge on communication system, such as BER, eye diagram, modulation/demodulation, pre-emphasis and etc.
• Open to Fixed Term Contract.

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 on an industry innovation research project where you will be part of the research team to develop a novel near-eye display technology for augmented reality (AR).

Key Responsibilities

• Participate in the research project with Principal Investigator (PI), Co-PI and the research team members to ensure all project deliverables are met.
• Conduct research towards a novel near-eye display for augmented reality and develop a prototype.
• Coordinate procurement and liaison with vendors/suppliers and carry out other project related activities.
• Work independently, as well as within a team, to ensure proper operation and maintenance of equipment.

Job Requirements

• A Bachelor/Master’s degree in computer, mechanics or related programmes.
• Knowledge and experience in near-eye display for VR/AR will be advantageous.
• Able to build and maintain strong working relationships with people within and external to the university.
• Show strong initiative and take ownership of work.
• Teamwork spirit

Key Competencies

• >= 2 years of research experience in near-eye display technologies for VR/MR.
• Teamwork spirit and ownership attitude.

Job Summary:

We are seeking a Senior AI/ML Engineer to design, build, and optimize machine learning models and AI solutions that solve real-world problems. You will lead the development of end-to-end pipelines, deploy scalable AI systems, and collaborate with cross-functional teams to drive innovation and deliver impactful solutions.

Responsibilities:

• Design, develop, and deploy machine learning models and AI solutions for production environments.
• Build and optimize data pipelines to preprocess, clean, and transform large datasets.
• Conduct research and implement cutting-edge techniques in machine learning, deep learning, and AI.
• Fine-tune models for performance, accuracy, and scalability based on business requirements.
• Collaborate with data engineers, product teams, and stakeholders to define AI/ML use cases.
• Monitor model performance and continuously improve deployed solutions.
• Develop and maintain documentation, including model architecture and deployment processes.
• Mentor junior engineers and provide technical leadership in AI/ML projects.

Requirements:

• A graduate in Computer Science, Machine Learning, Data Science, or a related field.
• 5+ years of experience in developing and deploying AI/ML solutions.
• Strong programming skills in Python and familiarity with libraries such as TensorFlow, PyTorch, or Scikit-learn.
• Experience with data processing frameworks (e.g., Pandas, NumPy, Spark).
• Proficiency in building and deploying ML pipelines using tools like MLflow, Kubeflow, or AWS SageMaker.
• Solid understanding of algorithms, deep learning architectures, and statistical methods.
• Hands-on experience with cloud platforms (AWS, Azure, GCP) and containerization (Docker, Kubernetes).
• Strong problem-solving and communication skills.

(EA Reg No: 20C0312)

Please email a copy of your detailed resume to [email protected] for immediate processing.

Only shortlisted candidates will be notified.

The School of Mechanical & Aerospace Engineering (MAE) is a robust, dynamic and multi-disciplinary international research community comprising of world-class scientists and bright students. MAE prides itself in its excellent research capabilities in areas including advanced manufacturing, aerospace, biomedical, energy, industrial engineering, maritime engineering, robotics, etc. The school is equipped with state-of-the-art research infrastructure, housing a comprehensive range of cluster laboratories, test bedding facilities, research centres/institutes and corporate laboratories. Cutting-edge research in MAE addresses the immediate needs of our industries and supports the nation’s long-term development strategies. In the new era of industrial 4.0 and sustainable living, MAE is rigorous in developing new competencies to support the growth and competitiveness of our engineering sector in the global landscape. MAE has grown to be leader in Engineering Research, ranking amongst the top engineering schools in the world.

For more details, please view https://www.ntu.edu.sg/mae/research.

Research Engineer, Algorithm and Operation Researcher for VR/AR system development

• Support the development of advanced VR/AR systems to enhance research. This position focuses on developing Unity-based applications, designing and integrating virtual environments with real-time tracking data for immersive visualization.

Key Responsibilities:

• Join the team to development of advanced VR/AR systems:
• Develop Unity-based applications for dynamic visualization and seamless user interaction.
• Design and implement immersive VR environments.
• Create and enhance high-resolution 3D models of animal and terrains, adding articulated joints for realistic movement and animation of animal model.
• Complete necessary technical documentation writing, summarizing and recording according to project progress.
• Collaborate with the team to achieve project milestones and undertake additional tasks required for successful project completion.

Job Requirements:

• Bachelor’s degree/master’s degree/PhD in computer science, electrical engineering, mechanical engineering or relevant area.
• At least 2 years of experience in Unity or Unreal Engine development.
• Experience with 3D modelling software (e.g., Blender, Maya).
• Proficiency in C# programming.
• Familiarity with VR hardware, especially Meta Quest Pro or equivalent devices.
• Hands-on experience with VICON tracking systems or similar technologies is advantageous.
• Relevant project experience in VR/AR development.

We regret that only shortlisted candidates will be notified

JOB DESCRIPTION

ISCE2 is looking for a highly motivated candidate with great interpersonal skills to join Lab and Facilities Division. The successful candidate is expected to contribute to ISCE2 by the following:

1. Upkeep and ensure good lab housekeeping for designated laboratories, sufficient supplies of common chemical and laboratory consumables (including procurement) etc.
2. Lab ambassadors to promote sustainable lab operations and greening of laboratories.
3. Ensure common equipment functionality and its operation within required limits by internal and external preventive maintenance.
4. Initiation and coordinate disposal of unwanted, obsolete chemicals and generated waste in designated laboratory.
5. Ensure all new laboratory personnel receive laboratory induction and specific lab operational procedures before they commence work in the lab.
6. Ensure lab occupants (i.e., staff and students) comply with general laboratory safety rules. Communicates information on identified hazards and precautions to all lab users.
7. Initiate and coordinate all necessary corrective actions to rectify safety discrepancy found in the lab.
8. Maintain up-to-date chemical inventory and ensure Safety Datasheet (SDS) for chemicals are readily available for respective laboratories.
9. Coordinate the compilation and maintain laboratory documentation (equipment manuals, equipment standard operating procedures, maintenance records and inventory record of regulated chemicals).

JOB REQUIREMENT

• Diploma or degree related to chemical engineering or equivalent.
• Prior work experience in a laboratory is not a requirement but an added advantage.
• Team player with initiative, drive and good communication skills.
• Ability to work independently under minimal supervision.
• Team player with good communication skills.
• Willing to work on all ISCE2 sites including main site at Jurong Island (Shuttle buses are available at various locations for commute into and out of Jurong Island site).

We are seeking a talented and motivated Research Engineer to join our team focused on developing cutting-edge AI models for vision inspection. This role involves leveraging state-of-the-art computer vision and machine learning techniques to solve complex manufacturing inspection challenges.

Responsibilities:

-Design, develop, and optimize AI models for image-based vision inspection tasks.

-Implement and fine-tune state-of-the-art models such as YOLO, Yolact, DeepLabV3, Vision Transformers, and others.

-Develop and maintain Python-based pipelines for data preprocessing, model training, and evaluation.

-Research and implement innovative algorithms to improve model accuracy and efficiency.

-Collaborate with cross-functional teams to understand project requirements and deliver high-quality integrated solutions.

-Document research findings, experimental results, and software implementations.

-Stay updated with the latest advancements in AI and computer vision technologies.

Job Requirements:

-Bachelor's or Master's degree in Computer Science, Electrical Engineering, or a related field.

-At least 3 years of experience

-Strong proficiency in Python programming.

-Expertise in deep learning frameworks like PyTorch (mandatory) and TensorFlow (preferred).

-Hands-on experience with computer vision models, including YOLO, Yolact, DeepLabV3, Vision Transformers, etc.

-Familiarity with image processing techniques and libraries such as OpenCV.

-Strong problem-solving and analytical skills.

-Strong communication and excellent writing skills

-Have a strong work ethic, and able to work on own initiative.

-Team player, communicate efficiently, be flexible and details oriented.

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.

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 evaluating and enhancing autonomous driving systems and cybersecurity solutions. Successful candidate will be part of an active research team led by Prof. Xie Xiaofei from School of Computing and Information Systems, Singapore Management University.

Candidate's core responsibilities are:

• Designing algorithms for testing AI systems, with a particular focus on enhancing efficacy and performance
• Developing high-performance tools for testing both Autonomous Driving Systems and Cybersecurity Solutions, specifically targeting malware detection and intrusion detection systems
• Ensuring the reliability and robustness of the tools through thorough testing
• Evaluating the tools in real-world applications to validate their effectiveness

• Minimum Bachelor's degree in Computer Science, Information Technology, Information Systems or closely related disciplines from a reputable institution of higher learning
• Minimum 3 years of relevant research experience in cybersecurity and AI
• Advanced knowledge/Proficiency in programming software/languages such as Python and C/C++ will be positively considered/ is required
• Demonstrated experience and know-how on trustworthy AI, autonomous driving systems, cybersecurity and developing high-performance software
• Experience with at least one programming software/languages, such as Python, C or C++ is preferred
• Excellent working knowledge of cybersecurity, software design and development
• Good analytical, technical and problem solving skills
• Applicants with research publications in cybersecurity and AI area will be advantageous
• Self-motivated individual who can work independently and also collaboratively with team members

#LI-JN2

JOB DESCRIPTION

ISCE2 is looking for a highly motivated candidate with great interpersonal skills to join Lab and Facilities Division. The successful candidate is expected to contribute to ISCE2 by the following:

1. Upkeep and ensure good lab housekeeping for designated laboratories, sufficient supplies of common chemical and laboratory consumables (including procurement) etc.
2. Lab ambassadors to promote sustainable lab operations and greening of laboratories.
3. Ensure common equipment functionality and its operation within required limits by internal and external preventive maintenance.
4. Initiation and coordinate disposal of unwanted, obsolete chemicals and generated waste in designated laboratory.
5. Ensure all new laboratory personnel receive laboratory induction and specific lab operational procedures before they commence work in the lab.
6. Ensure lab occupants (i.e., staff and students) comply with general laboratory safety rules. Communicates information on identified hazards and precautions to all lab users.
7. Initiate and coordinate all necessary corrective actions to rectify safety discrepancy found in the lab.
8. Maintain up-to-date chemical inventory and ensure Safety Datasheet (SDS) for chemicals are readily available for respective laboratories.
9. Coordinate the compilation and maintain laboratory documentation (equipment manuals, equipment standard operating procedures, maintenance records and inventory record of regulated chemicals).

JOB REQUIREMENT

• Diploma or degree related to chemical engineering or equivalent.
• Prior work experience in a laboratory is not a requirement but an added advantage.
• Team player with initiative, drive and good communication skills.
• Ability to work independently under minimal supervision.
• Team player with good communication skills.
• Willing to work on all ISCE2 sites including main site at Jurong Island (Shuttle buses are available at various locations for commute into and out of Jurong Island site).
• Minimum 3 Years of experience

Job Description:

• Design, implement and optimize algorithms (e.g. SLAM) for real-time, high-precision localization of autonomous vehicles using sensor fusion of GNSS/IMU/DR, LiDAR, cameras, HD Map, and other sensors.
• Develop and maintain high-definition (HD) maps for autonomous driving applications. Work on the creation, updating, and management of detailed maps that include lane information, road geometry, traffic lights/signs, and other relevant features.
• Improve perception models for feature detection and tracking. Use deep learning and computer vision techniques to detect key features such as road boundaries, obstacles, and dynamic objects to enhance mapping and localization accuracy.
• Develop test plans, perform validation, and run simulations and testing to ensure the accuracy, reliability, and safety of mapping and localization systems in both controlled and real-world environments.
• Stay up to date with the latest advancements in localization, mapping, and autonomous driving technologies. Lead efforts to continuously improve the performance and capabilities of our mapping and localization systems.
• Write professional design and technical documentation.

Job Requirements:

• Master’s or Ph.D. degree in Robotics, Computer Science, Electrical and Electronic Engineering, Computer Vision, Deep Learning and AI, or a related field.
• Working experience in localization, mapping, or autonomous driving systems is preferred.
• Expertise in key mapping and localization techniques including GNSS/IMU/INS, SLAM, and especially deep learning-based perception and sensor fusion.
• Strong analytical and problem-solving skills, strong programming skills in Linux C/C++, excellent communication skills, ability to work collaboratively with the team, etc.

The above information on this description has been designed to indicate the general nature, and level, of the work performed by this position. It is not designed to contain, or be interpreted, as a comprehensive inventory of all duties, responsibilities and qualifications required.

Interested candidates may also apply or write in to CS Chua, EA 12C6130/ R1548619 [email protected]. Shortlisted candidates will be contacted for a discussion.

Responsibilities

About Doubao (Seed) Founded in 2023, the ByteDance Doubao (Seed) Team, is dedicated to pioneering advanced AI foundation models. Our goal is to lead in cutting-edge research and drive technological and societal advancements.

With a strong commitment to AI, our research areas span deep learning, reinforcement learning, Language, Vision, Audio, AI Infra and AI Safety. Our team has labs and research positions across China, Singapore, and the US.

Leveraging substantial data and computing resources and through continued investment in these domains, we have developed a proprietary general-purpose model with multimodal capabilities. In the Chinese market, Doubao models power over 50 ByteDance apps and business lines, including Doubao, Coze, and Dreamina, and is available to external enterprise clients via Volcano Engine. Today, the Doubao app stands as the most widely used AIGC application in China.

Why Join Us

Creation is the core of ByteDance's purpose. Our products are built to help imaginations thrive. This is doubly true of the teams that make our innovations possible. Together, we inspire creativity and enrich life - a mission we aim towards achieving every day. To us, every challenge, no matter how ambiguous, is an opportunity; to learn, to innovate, and to grow as one team. Status quo? Never. Courage? Always. At ByteDance, we create together and grow together. That's how we drive impact - for ourselves, our company, and the users we serve. Join us.

About The Team

The Doubao Large Language Model (LLM) team is dedicated to aggressively advancing the next generation of LLMs, tackling fundamental challenges in LLM development head-on. Our areas of concentration include model self-learning, memory capabilities, long-text generation, and interpretability. We dive deep into the latest technologies and create comprehensive solutions from concept to completion. In our endeavor to adopt LLMs in real-life scenarios, we persistently seek out methods to enhance applications through technological innovation.

Responsibilities

1. Skilled in discovering simple and universal ideas for optimizing large models and applying them to models of various scales to improve performance;

2. Explore the boundaries of large-scale models and perform extreme system optimization to improve model performance and efficiency;

3. Promote the work of data establishment, instruction fine-tuning, preference alignment, and model optimization to improve the quality and adaptability of the model;

4. Relevant application landing, including generation creation, logical reasoning, code generation, etc;

5. Conduct in-depth research and explore more usage scenarios of the model in future life, and expand the application scope of the model.

Minimum Qualifications

1. At least hold a Master degree in computer science, electrical engineering, statistics, applied mathematics, data science or related disciplines.

2. Proficient in coding ability, familiar with data structure and basic algorithm foundation, skilled in C/C++ or Python; 3. Familiar with algorithms and technologies related to NLP and CV, with a good research record in the relevant field; 4. Excellent problem analysis and problem-solving skills, able to deeply solve problems existing in large-scale model training and application; 5. Good communication and collaboration skills, able to explore new technologies with the team and promote technological progress.

Preferred Qualifications

1. Familiar with large model training and RL algorithms;

2. In the field of large models, those who lead projects or papers with too much influence are preferred.

ByteDance is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At ByteDance, our mission is to inspire creativity and enrich life. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.

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.

About the Centre for Quantum Technologies (CQT)

The Centre for Quantum Technologies (CQT) in Singapore brings together physicists, computer scientists and engineers to do basic research on quantum physics and to build devices based on quantum phenomena. Experts in this new discipline of quantum technologies are applying their discoveries in computing, communications, and sensing.
CQT is hosted by the National University of Singapore. The Centre also has staff at the Agency for Science, Technology and Research, Nanyang Technological University, Singapore, and the Singapore University of Technology and Design. With some 200 staff and students, it offers a friendly and international work environment

Learn more about CQT at www.quantumlah.org

Job Description

The Centre for Quantum Technologies (CQT), National University of Singapore is looking for researchers and engineers to develop next generation quantum computers based on trapped ions. There are multiple positions available at different levels with a diverse set of expertise. This program is funded under the National Quantum Processor Initiative, a flagship program under the National Quantum Office Singapore. The aim of the program is to develop a full stack quantum processor based on Yb-Ba ions. This program brings together the unique capabilities of the existing ion trap groups in CQT expertizing on these two-ion species to explore scalability of the system.

The Centre for Quantum Technologies is a pioneering quantum centre in the world offering a diverse research culture at the intersection of three different fields namely, theoretical, experimental Physics and computer science. We offer competitive salary and enriching intellectual experience in a city state known for its forward outlook. This program also allows strong collaboration with leading academic and industrial groups within and outside the country.

The team members will work to build hardware for the next generation of the ion trap quantum processor. This includes design and implementation of the modular and compact optical system for the laser beam modulation using acousto-optical and electro-optical modulators, delivery of the beams to the inside the vacuum chamber, and implementation of the diffraction limited optical system for ion imaging and addressing of the individual ions with the laser beams.

The successful candidate will be involved in all stages of the development cycle: collaborate with team members to define technical requirements, design, test and integrate the optical systems in the final product.

Job Requirements

We are looking for several optical engineers to join the small team of scientists and engineers working on the next generation of the ion trap quantum processor. The candidate should have:

• Ph.D. in optical engineering, physics or related areas;
• At least 1-2 years of experience in optical design, implementation and testing of the optical or laser systems is preferred.
• Experience in optical design, familiar with optical (for example, Zemax or OSLO) and mechanical (Autodesk or Solidwork) CAD software, able to assemble and test complex optical systems.

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 researcher will assist PI in developing innovative algorithms to model and predict the failures in the spatial temporal distributed systems. Programming is required, with skills in scientific computing.

Job Requirements

At least 3-4 years experience in research; track records in publishing top research paper; experience in programming

Responsibilities

ByteDance will be prioritizing applicants who have a current right to work in Singapore, and do not require ByteDance sponsorship of a visa.

About Doubao (Seed)

Founded in 2023, the ByteDance Doubao (Seed) Team, is dedicated to pioneering advanced AI foundation models. Our goal is to lead in cutting-edge research and drive technological and societal advancements.

With a strong commitment to AI, our research areas span deep learning, reinforcement learning, Language, Vision, Audio, AI Infra and AI Safety. Our team has labs and research positions across China, Singapore, and the US.

Leveraging substantial data and computing resources and through continued investment in these domains, we have developed a proprietary general-purpose model with multimodal capabilities. In the market, Doubao models power over 50 ByteDance apps and business lines, including Doubao, Coze, and Dreamina, and is available to external enterprise clients via Volcano Engine. Today, the Doubao app stands as the most widely used AIGC application in China.

Why Join Us

Creation is the core of ByteDance's purpose. Our products are built to help imaginations thrive. This is doubly true of the teams that make our innovations possible. Together, we inspire creativity and enrich life - a mission we aim towards achieving every day. To us, every challenge, no matter how ambiguous, is an opportunity; to learn, to innovate, and to grow as one team. Status quo? Never. Courage? Always. At ByteDance, we create together and grow together. That's how we drive impact - for ourselves, our company, and the users we serve. Join us.

About The Team

The Doubao Large Language Model (LLM) team is dedicated to aggressively advancing the next generation of LLMs, tackling fundamental challenges in LLM development head-on. Our areas of concentration include model self-learning, memory capabilities, long-text generation, and interpretability. We dive deep into the latest technologies and create comprehensive solutions from concept to completion. In our endeavor to adopt LLMs in real-life scenarios, we persistently seek out methods to enhance applications through technological innovation.

We are looking for talented individuals to join us in 2025. As a graduate, you will get unparalleled opportunities for you to kickstart your career, pursue bold ideas and explore limitless growth opportunities. Co-create a future driven by your inspiration with ByteDance.

Candidates can apply to a maximum of two positions and will be considered for jobs in the order you apply. The application limit is applicable to ByteDance and its affiliates' jobs globally. Applications will be reviewed on a rolling basis - we encourage you to apply early.

Responsibilities

1. Skilled in discovering simple and universal ideas for optimizing large models and applying them to models of various scales to improve performance;

2. Explore the boundaries of large-scale models and perform extreme system optimization to improve model performance and efficiency;

3. Promote the work of data establishment, instruction fine-tuning, preference alignment, and model optimization to improve the quality and adaptability of the model;

4. Relevant application landing, including generation creation, logical reasoning, code generation, etc;

5. Conduct in-depth research and explore more usage scenarios of the model in future life, and expand the application scope of the model.

Qualifications

Minimum Qualifications

1. Hold a Ph.D. degree in computer science, electrical engineering, statistics, applied mathematics, data science or related disciplines.

2. Proficient in coding ability, familiar with data structure and basic algorithm foundation, skilled in C/C++ or Python; 3. Familiar with algorithms and technologies related to NLP and CV, with a good research record in the relevant field; 4. Excellent problem analysis and problem-solving skills, able to deeply solve problems existing in large-scale model training and application;

5. Good communication and collaboration skills, able to explore new technologies with the team and promote technological progress.

Preferred Qualifications

1. Familiar with large model training and RL algorithms;

2. In the field of large models, those who lead projects or papers with too much influence are preferred.

ByteDance is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At ByteDance, our mission is to inspire creativity and enrich life. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.

By submitting an application for this role, you accept and agree to our global applicant privacy policy, which may be accessed here: https://jobs.bytedance.com/en/legal/privacy.

If you have any questions, please reach out to us at [email protected]