Total 568 environmental engineer job vacancies in Education / Training category in Singapore

ROLE:

A*Star-IME is currently working on establishing a hybrid fabrication platform for 150mm and 200mm Silicon Carbide (SiC) power MOSFETs as a new pillar on Singapore"s Future of Microlectronics in wide-bandgap. The main objective of this SiC RnD program is to advance 200mm SiC technologies in various areas, such as epitaxy, device design, process integration & fabrication, and power module packaging. The ultimate aim is to drive disruptive innovations in power device research, specifically focusing on >1.7KV power MOSFETs. These innovations will have significant applications in enhancing automotive technologies, vehicle electrification, safety measures, sustainable energy grids, data centers, and industrial & aerospace automation. Key aspects for this role to be successful include the development and integration of several process modules, such as gate oxidation, implantation, implant activation, layout design verification, lithography, and ohmic contact formation. We are actively looking for individuals with extensive industry experience in device physics and process integration to join our team. The candidate will contribute to process integration, E-test and module process related data analysis, yield enhancement, and device physics.

RESPONSIBILITIES:

• Lead develop process technology for SiC power MOSFETs and ensure it meets the requirements for prototyping manufacturing

• Collaborate with advanced process module development team to establish a process flow for fabricating specific MOS devices

• Responsible to develop and improve test structures that enable fast and rigorous characterization of process

• Accountable to improve device performance and yield through the design, execution, and analysis of experiments for each specific device and product

• Work with cross-functional teams to minimize defects and address technical and yield concerns

• Drive CIP (Continuous improvement plans) to deliver integrated process modules and specific device per project goals

• Make decisions regarding the delivery of process, active and passive devices to multiple customers

REQUIREMENTS:

• MS/PhD Degree in Electrical Engineering or related field

• >3 years industrial experience for MOSFET process integration and device physics

• Proactive, self-motivated, and results-oriented professional with the ability to make efficient contributions to and lead technical discussions

• Extensive expertise in material and process integration

• Comprehensive understanding of semiconductor materials and the physics of MOSFET devices

• Strong communication skills to effectively communicate information about module integration for device fabrication and with customers

• Excellent analytical skills for interpreting process and device data, coupled with strong presentation abilities

Job Description:

Candidate will be part of Far-Backend Of Line (Far-BEOL) team of process module engineers, advancing specialty technologies at IME. His or her main roles and responsibilities include:

• Develop and support Chemical Mechanical Planarization (CMP) unit process capabilities for silicon photonics, flat optics, advanced packaging, MEMS, and wide bandgap semiconductor applications.
• Deliver innovations involving process methodologies, materials, or approach, and generate intellectual property related to various aspects of CMP.
• Participate as team member with process integration teams to actively support CMP process development, optimization and troubleshooting for various industry and grant projects.
• File patents/know-hows on new development activities.
• Publish research findings in prestigious journals and conferences.

Job Requirement:

• Masters with specialization in Electronics / Microelectronics / Materials Engineering / Chemical Engineering / Materials Science/ Chemistry / Physics or equivalent.
• Minimum 5 years of experience in CMP technologies, preferably in an industrial setting.
• Prior hands-on experience working on industry-scale 200 mm or 300 mm CMP equipment platforms (e.g., AMAT or Ebara platforms), with in-depth technical knowledge in process development, materials, and inline process control related to CMP.
• Knowledge of silicon photonics, advanced packaging, MEMS, or wide bandgap semiconductor technology platforms would be a plus, but not mandatory.
• Strong experimental design (DOE) and data analysis skills is preferred.
• Good interpersonal and strong demonstrated skills in collaborating with internal and external stakeholders.
• At least 2 years of demonstrated experience in managing projects of moderate complexity is preferred
• Good analytical skills and oral/written communication skills, with ability to deliver clear and concise messages to both internal and external stakeholders.
• Self-driven with strong interest in next-generation applications of CMP technologies and industry trends.

Project Overview

We are hiring research engineers interested in advancing the state of the art in data-efficient machine learning at SMART in the new program: Mens, Manus and Machina: How AI empowers people and the city in Singapore (M3S).

With the recent emergence of large language models (LLMs), the research engineers will assist in investigating how data-efficient and resource-efficient techniques, such as data attribution, data selection/reweighting, data valuation, data curation, Bayesian optimization, active learning, can be applied in the context of LLMs (as well as important issues involving AI privacy, model auditability and updatability).

Responsibilities

• Research on topics related to data-efficient machine learning, such as data attribution, data selection/reweighting, data valuation, data curation, Bayesian optimization, and active learning, in the context of LLMs.
• Investigate how these concepts as well as important issues involving AI privacy, model audibility, and updatability can be applied in the context of LLMs.
• Develop, implement, and evaluate experiments to characterise the feasibility and performance of the proposed research ideas.
• Collaborate with other PhD and undergraduate students to publish research results in top-tier conferences and journals, with focus on venues associated with the above-mentioned areas .

The research engineer will be jointly advised by Prof. Daniela Rus (MIT CSAIL), Prof. Alex 'Sandy' Pentland (MIT Media Lab), and Assoc. Prof. Bryan Low (NUS School of Computing), and based at SMART (Singapore-MIT Alliance for Research & Technology) in Singapore. The research engineer will have the opportunity to collaborate with PhD and undergraduate students, as well as Postdoctoral Fellows, within our research groups.

For more information on our research group and interests, visit

https://danielarus.csail.mit.edu/

https://www.media.mit.edu/people/sandy/overview/

https://www.comp.nus.edu.sg/~lowkh/research.html

Requirements

• Degree or Masters Degree in Computer Science, Machine Learning, Artificial Intelligence, or other related disciplines.
• Strong publication record at premier AI/ML venues such as ICML, ICLR, NeurIPS, CVPR, ACL, EMNLP or similar.
• Strong proficiency in programming.
• Strong proficiency in English and communication skills.
• Experience with machine learning and deep learning frameworks such as Pytorch, Tensorflow, among others.

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.

Job Description:

• Developing and optimizing thin film processes, such as Physical Vapour Deposition (PVD) and e-Beam Evaporation for Micro-Electro-Mechanical-Systems (MEMS), Wide-Band-Gap (WBG) and Photonics applications.
• Thin film property characterization and process issue troubleshooting.
• Develop film defect reduction and yield improvement strategies.
• Act as a subject matter expert and resource for colleagues in integration teams.
• Work with Fab team in establishing statistical process control for thin film module.
• Generate and present reports to both internal and external customers.

Job Requirements:

• Bachelors/Masters in Materials Science and Engineering, Physics, Electrical Engineering, or closely related fields are welcome to apply.
• 3+ years direct industry experience in PVD and evaporation is preferred.
• Good understanding of thin film deposition techniques, defect reduction methodologies, yield improvement and thin film property characterization is desired.
• Understanding of thin film tool hardware, especially PVD and evaporation, is advantageous.
• Knowledge and prior hands-on experience on basic process characterization techniques such as SEM/TEM, EDX, SIMS, FTIR, XPS, ellipsometry is advantageous.
• Good understanding of thin film deposition techniques, defect reduction methodologies, yield improvement and thin film property characterization is desired.
• Possess good interpersonal and oral/written communication skills, with ability to deliver clear and concise messages to both internal and external stakeholders.

Job Description:

• Developing and optimizing thin film processes, such as Physical Vapour Deposition (PVD) and e-Beam Evaporation for Micro-Electro-Mechanical-Systems (MEMS), Wide-Band-Gap (WBG) and Photonics applications.
• Thin film property characterization and process issue troubleshooting.
• Develop film defect reduction and yield improvement strategies.
• Act as a subject matter expert and resource for colleagues in integration teams.
• Work with Fab team in establishing statistical process control for thin film module.
• Generate and present reports to both internal and external customers.

Job Requirements:

• Bachelors/Masters in Materials Science and Engineering, Physics, Electrical Engineering, or closely related fields are welcome to apply.
• 3+ years direct industry experience in PVD and evaporation is preferred.
• Good understanding of thin film deposition techniques, defect reduction methodologies, yield improvement and thin film property characterization is desired.
• Understanding of thin film tool hardware, especially PVD and evaporation, is advantageous.
• Knowledge and prior hands-on experience on basic process characterization techniques such as SEM/TEM, EDX, SIMS, FTIR, XPS, ellipsometry is advantageous.
• Good understanding of thin film deposition techniques, defect reduction methodologies, yield improvement and thin film property characterization is desired.
• Possess good interpersonal and oral/written communication skills, with ability to deliver clear and concise messages to both internal and external stakeholders.

As the Research Engineer (Equipment/Operations), you are directly involved in tool installation activities for semiconductor process tools. You would need to work proactively to coordinate with the contractor on the ground for the execution and take corrective and preventive actions of lessons learned, due diligently to prevent reoccurrence. You are responsible for performing utilities turn-on after installation is completed. You must perform the activities per ASTAR site procedure and safety policies to ensure all tool-install-related activities are completed, meeting safety, quality, schedule and budget requirements. You will also be required to perform other activities such as operations for the different semiconductor modules (Diffusion, Litho, Dry/Wet Etch, Thin Film, Implant, etc).

Responsibilities:

• Coordinate with all tool-install base contractors to execute equipment hookup for new tools, to meet the high-quality standards, dynamic schedule, and forecasted budget.
• Coordinate with the Project owner (NGTC/APM) to facilitate utility release as per the planned schedule and update tool release status timely
• Follow all safety and environmental procedures to ensure compliance with EHS-related regulations, risk assessment, safe work procedures, and permit-to-work system.
• Play an active role in safety, actively participating in safety discussions and safe work practices.
• Establish regular area walks to identify opportunities for improved safety, cleanliness, housekeeping and efficiency
• Establish regular, working interaction with peers as well as vendors in tool installation & facilitation, communicating clearly and respectfully all relevant information.
• Keep the reporting officer informed regarding the progress of assigned work and any abnormalities observed in your area.
• Demonstrate ability to understand drawing and highlighting discrepancies
• Follow area-specific procedures and documentation
• Prioritize work tasks to meet schedule and expectations, minimum guidance
• Perform tool tool-relativities and cleanroom systems troubleshooting during the hookup phase
• To perform equipment trouble-shooting of the equipments in NGTC when the need arises
• To perform utility-on after installation completion and to work closely with LCAM for complete closure
• To perform tests balancing of exhaust for new tools whenever necessary
• To perform measures for tool consumption during the hookup phase and to work closely with LCAM
• Use methods to organize, calculate, and display data accurately for utility and flowrate measurement
• Perform site activities in accordance to the Discipline

Requirements:

• Degree/Diploma in Mechanical/Electrical/Chemical engineering or equivalent
• Semiconductor experience (Equipment & Process)
• Facilities field or Wafer Fab Manufacturing equipment background will be an advantage.
• AutoCAD

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 perform modelling and real-time simulation of electric vessel’s onboard microgrid and propulsion system.

Key Responsibilities

• Participate in and manage the research project with Principal Investigator (PI), Co-PI and the research team members to develop onboard microgrid simulation models with energy management systems as well as to plan and test the relevant hardware systems.
• Work with research team to deliver the work scope and undertake these responsibilities in the project.
  Work Responsibilities:
  1. Develop detailed electrical models of the microgrid (power system) of various e-vessels based on the concept design in a simulation environment such as Matlab/Simulink.
  2. Design and develop an intelligent energy management system for the e-vessel microgrid for coordinated control of multiple energy sources considering cost, carbon, and operation constraints.
  3. Operate the simulated electrical model with EMS controller to perform simulations for various cases to demonstrate performance and recommend improvements at unit, sub-system and whole system level.
  4. Implement and carry out simulation studies for onboard microgrid and connection to shore charging infrastructure.
• Recommend efficient and reliable power system architecture(s) with other merits of high-density and light-weight.
• Test the relevant power electronics and drives system hardware and troubleshoot the challenging problems.
• 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 and assist in laboratory management.
• Mentor students involved in the research project
• For those hired at senior levels, management responsibilities may be included

Job Requirements

• Have a Master’s or PhD’s degree in Electrical Engineering or equivalent from a recognized University. Major in Power Engineering will be advantageous.
• Minimum 3 years of relevant experience in modelling and energy management algorithm development using MATLAB/Simulink for microgrid applications.
• Knowledge of power electronics, drives, and control is highly preferred. Hardware testing experience will be advantageous.
• Have experience and commitment to participate in project meetings.
• Self-motivated team player and good project management skills.
• Excellent writing, communication, presentation, and interpersonal skills.

Key Competencies

• Able to build and maintain strong working relationships with people within and external to the university.
• 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

The EOS/ASE Geodesy Group at NTU is searching for a Research Engineer II to work under the supervision of Prof Emma Hill on the role of tectonics in modifying regional relative sea level (RSL). The successful candidate will analyse geodetic data and conduct numerical modelling to estimate RSL related to past and future earthquakes and other processes of land-height change in Southeast Asia.

Further to this, they will work on projects aimed at effective communication of these results to policymakers and other stakeholders. They will investigate best practices for communicating probabilistic estimates of potential future impacts of earthquakes on RSL. The successful candidate will have a Bachelors’ degree in Earth Science, natural hazards, remote sensing, geodesy, computer science, data science, or a related subject. Most importantly they will have enthusiasm to engage in the research work of our group, and a passion for making Southeast Asia a safer and more sustainable place for all communities in the region.

Key Responsibilities:

• Analyze and interpret geodetic and remote sensing data from regional observing networks and satellites to further our understanding of land-height change in Southeast Asia.
• Conduct numerical modeling of tectonic processes, including to use numerical modeling techniques to model deformation resulting from viscoelastic deformation of the Earth’s asthenosphere.
• Conduct probabilistic analysis for potential future impacts of earthquakes on RSL.
• Conduct studies into best practices for communication of results on RSL from tectonics to policymakers and other key stakeholders, including discussion with these groups to learn their needs.

Job Requirements:

• Bachelor’s degree in Earth or environmental science.
• At least 4 years of experience working in an Earth science field.
• Demonstrated experience in geodetic data analysis and numerical modelling of tectonic deformation.
• Demonstrated experience conducting scientific research.
• Demonstrated ability to write and present at the level of peer-reviewed scientific journals and international conferences, which will usually be in English.
• Collaborative mindset and strong teamwork skills.
• Evidence of lead authorship of papers submitted or accepted into peer-reviewed journals would be a plus.

EOS seeks a diverse and inclusive workforce and is committed to equality of opportunity. We welcome applications from all and recruit on the basis of merit, regardless of age, race, gender, religion, marital status and family responsibilities, or disability. Interested applicants should submit a CV and a statement of interests. Evaluation of application starts immediately until the position is filled. We regret to inform that only shortlisted candidates will be notified.

To apply, please submit a CV, cover letter, statement of research interests, and the names of three referees.

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

Role Description:

• Responsible for semiconductor fab automation with Autonomous Mobile Robot (AMR) & SECS/GEM
• MES knwolegeable and work with vendors to evaluate and enable communication between MES, Tool and AMR.
• Responsible for proposing/developing/implementing/maintaining IOT automation systems collecting/cleaning/restructuring equipment data and storage in data management system
• Maintenance of AMR and existing system performing periodic data integrity checks, create automated failure alerts, perform timely fixes when necessary and continuously improve the automation frameworks with new innovative features\
• Create Web UI for admin/user required view & operation. Create automated periodic insights/analytics/reports/visualisation/alerts operations required for timely decision-making processes.

Job Requirements

• Degree in Computer Science, Engineering or relevant field
• Ability to work independently and team player to deliver result in fast paced and collaborative environment
• Preferable with 1-3 experience in various semiconductor process module/knowledge, equipment engineering or digital transformation, specifically in SECS/GEM Automation.
• Knowledge in communication systems and network protocols used between tool and factory automation (SECS/GEM knowledge & semiconductor/manufacturing environment)
• Knowledge in variety of operating system (OS) used for automation (e.g SECS/GEM, php, js, sql). Other technical skills such as AMHS, vb, xml will be a plus/
• Preferable to have experience in data mining, database engineering, software development

Role Description:

• Responsible for semiconductor fab automation with Autonomous Mobile Robot (AMR) & SECS/GEM
• MES knwolegeable and work with vendors to evaluate and enable communication between MES, Tool and AMR.
• Responsible for proposing/developing/implementing/maintaining IOT automation systems collecting/cleaning/restructuring equipment data and storage in data management system
• Maintenance of AMR and existing system performing periodic data integrity checks, create automated failure alerts, perform timely fixes when necessary and continuously improve the automation frameworks with new innovative features\
• Create Web UI for admin/user required view & operation. Create automated periodic insights/analytics/reports/visualisation/alerts operations required for timely decision-making processes.

Job Requirements

• Degree in Computer Science, Engineering or relevant field
• Ability to work independently and team player to deliver result in fast paced and collaborative environment
• Preferable with 1-3 experience in various semiconductor process module/knowledge, equipment engineering or digital transformation, specifically in SECS/GEM Automation.
• Knowledge in communication systems and network protocols used between tool and factory automation (SECS/GEM knowledge & semiconductor/manufacturing environment)
• Knowledge in variety of operating system (OS) used for automation (e.g SECS/GEM, php, js, sql). Other technical skills such as AMHS, vb, xml will be a plus/
• Preferable to have experience in data mining, database engineering, software development

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 process air quality data and study small-scale dispersion of airborne pollutants in urban environment.

Qualifications

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

• Bachelor Degree in Engineering or relevant field
• Experiences of (small-scale) simulations of air pollutant dispersion, meteorology modelling, data processing
• Demonstrating as a fast learner of conducting literature study and literature summary
• Experiences of handling big data via R, Python, Matlab, etc.
• Experience with UNIX-based operating systems and bash script or similar
• Strong interests in applying machine learning models and applications to atmospheric research
• 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

About ByteDance

Founded in 2012, ByteDance's mission is to inspire creativity and enrich life. With a suite of more than a dozen products, including TikTok as well as platforms specific to the China market, including Toutiao, Douyin, and Xigua, ByteDance has made it easier and more fun for people to connect with, consume, and create content.

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

Machine Learning systems team provides E2E machine learning experience and machine learning resources for the company. The team builds heterogeneous ML training and inference systems based on GPU and AI chips and advances the state-of-the-art of ML systems technology to accelerate models such as stable diffusion and LLM. The team is also responsible for research and development of hardware acceleration technologies for AI and cloud computing, via technologies such as distributed systems, compilers, HPC, and RDMA networking. The team is reinventing the ML infra for large scale language models. We have published papers at top tier conferences such as SIGCOMM, NSDI, EuroSys, OSDI, SOSP, MLSys, NeurIPS, etc.

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

- Research and develop our machine learning systems, including heterogeneous computing architecture, management, scheduling, and monitoring;

- Manage cross-layer optimisation of system and AI algorithms and hardware for machine learning (GPU, ASIC);

- Implement both general purpose training framework features and model specific optimisations (e.g. LLM, diffusions);

- Improve efficiency and stability for extremely large scale distributed training jobs;

Qualifications

Minimum Qualifications:

1. Currently pursuing a PhD in Computer Science, engineering quantitative field with a background in distributed, parallel computing principles and know the recent advances in computing, storage, networking, and hardware technologies

2. Familiar with machine learning algorithms and platforms;

3. Have basic understanding of how GPU and/or ASIC works;

4. Expert in at least one or two programming languages in Linux environment: C/C++, CUDA, Python;

Preferred Qualifications

1. GPU based high performance computing, RDMA high performance network (NCCL, ibverbs); Tensorflow, Jax, PyTorch or other deep learning frameworks;

2. Large scale data processing and parallel computing;

3. Experiences in designing and operating large scale systems in cloud computing or machine learning;

4. Experiences in in-depth CUDA programming and performance tuning

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].

Job Description

1. Perform research in the following areas:

a. Global performance analysis, and/or

b. Global structural response analysis

2. Assist in conducting physical model tests, field experiments and numerical simulations to support the development of integrated physical-numerical modelling and simulations.

3. Collaborate with industry partners, affiliated research institutes and other relevant stakeholders to contribute to grant proposals for research funding consistent with the strategic goals of TCOMS.

4. Any other duties as assigned by supervisor.

Job Requirements

· Bachelor's/Master's Degree in Civil Engineering, Mechanical Engineering, Marine Engineering, Naval Architecture, Applied Mathematics or other related disciplines.

· Preferably having relevant research/industry experience with competent knowledge in some of the following areas: Offshore engineering, marine engineering, hydrodynamics, naval architecture and ocean engineering.

· At least 5 years of experience

· Prior knowledge in the following numerical methods/software/programming languages will be an advantage:

o CAD software such as SolidWorks, Rhino, AutoCAD

o Engineering tools such as WAMIT, SESAM and OrcaFlex

o Finite Element analysis tools such as SESAM, ABAQUS, Ansys

o Programming codes such as FORTRAN, Python, MATLAB, C++ or equivalent.

· Good interpersonal and communications skills.

· Ability to adapt and work effectively as members of a team.

· Good command of written and spoken language.

· Resourceful and self-driven with a high degree of professional integrity.

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 Coastal Protection and Flood Resilience Institute (CFI) Singapore is actively seeking a Research Engineer to contribute to a groundbreaking research project. This research explores the efficacy of integrated nature-based solutions in sediment erosional control and coastal protection. The goal is to develop innovative, physically based models that quantify the protective benefits a vegetation meadow can offer to shorelines.

The Research Engineer will participate in experimental research, with a specific focus on studying sediment flux in hybrid solutions to coastal protection. He/she will lead and execute flume experiments, data analysis and field sampling as well as specific tasks which includes planning and conducting experiments, running laboratory analyses, collection and analysis of data, and performing basic administrative duties.

He/she will work need to work with Assistant Professor Gary Lei from Civil and Environmental Engineering and Dr. Ow Yan Xiang from the Tropical Marine Science Institute (TMSI) at NUS. Ideally, we are interested in candidates with prior experience with laboratory experiments.

Job Requirements

• Possess a bachelor’s degree in environmental engineering /Environmental Science/ Mechanical Engineering, or a closely-related field.
• Priority will be given to applicants who have prior research experience in coastal engineering, aquatic plants science, eco-hydraulics, and/or environmental fluid mechanics.
• Strong verbal and written communication skills.
• Proficient with Microsoft Suite and R, or other equivalent analytic software.
• Open to fixed-term contract.

The Advanced Remanufacturing and Technology Centre (ARTC) is a public-private partnership consortium of more than 80 industry members. Our core mission is to develop and deploy advanced manufacturing solutions and upskill the workforce to drive local industry competitiveness.

Smart Virtual Systems (SVS) Group is seeking a highly motivated Research Engineer/ Senior Research Engineer to implement highly available and scalable microservices-based applications and platforms for autonomous manufacturing applications. He/she is expected to be independent and initiative-driven, demonstrating the capacity to discover innovative solutions to challenges.

We are seeking a talented and experienced Software Engineer with experience in MLOps/AI to join our dynamic team. In this role, you will play a key role in software development and focusing on deploying machine learning models, implementing MLOps best practices. You will work closely with our cross-functional research teams to streamline model deployment, improve scalability and reliability of systems.

The key roles and responsibilities include the following:

• Develop, test, and maintain enterprise system and applications, with a focus in ML/AI systems.
• Implement MLOps best practices to automate model training, deployment, and monitoring processes.
• Implement and optimize machine learning algorithms and deep learning architectures.
• Collaborate with data scientists and software engineers to integrate machine learning solutions into existing systems and deliver high-quality software products.
• Optimize AI pipelines for scalability, reliability, and performance.
• Conduct performance analysis and optimization to improve model efficiency and accuracy.
• Stay updated on the latest advancements in software engineering, AI/ML technologies and best practices.

Job Requirements

• Bachelor or Master Degree in Computer Science/Engineering or relevant disciplines
• Must have a minimum of 8 years of experience as a Software Developer/Engineer
• Hands-on experience in Cloud Native Technologies such as in micro-services, DevSecOps, and Containerisation Technologies
• Proficiency in designing and developing microservices and software systems using C# .NET, Python and angular
• A good understanding of CI/CD Pipelines in a distributed environment using Git, Artifactory, Jenkins, SonarQube, Docker registry, etc.
• Hands-on experience with deploying and managing microservices using container orchestration platforms (on-prem/public cloud)
• Can do attitude and happy to interface with multiple stakeholders
• Excellent troubleshooting, follow-through, and problemsolving skills, with attention to detail
• Excellent verbal and written communication skills
• Hands-on experience with machine learning frameworks/libraries
• Understanding of machine learning algorithms and techniques
• Familiarity with deep learning architectures and natural language processing (NLP) techniques.

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.

ABOUT THE ROLE

We are seeking a highly motivated Research or Senior Research Engineer to implement highly available and scalable microservices-based applications and platforms for autonomous manufacturing applications. If you are independent and initiative-driven, demonstrating the capacity to discover innovative solutions to challenges, this is the role for you.

JOB DESCRIPTION

• Develop, test, and maintain enterprise planning systems and applications.
• Analyze complex problems related to resource planning and scheduling, identifying potential solutions, and implementing the most effective one.
• Collaborate with other developers and stakeholders to deliver high-quality software products.
• Deploy software to production environments and provide ongoing maintenance and support to customers.
• Take responsibility for documenting code with technical specifications, user manuals, and other documentation to facilitate understanding and maintenance by other team members.
• Identify and address bottlenecks, inefficiencies, and scalability issues to ensure optimal performance of the software system.

JOB REQUIREMENT

• Bachelor's or Master's Degree in Computer Science or Engineering or relevant disciplines.
• Minimum of 5 years of working experience as a Software Developer/Engineer

We value the following technical skills:

• Hands-on experience in Cloud Native Technologies such as microservices, DevSecOps, and Container Platforms
• Proficiency in designing and developing microservices using at least one programming language, preferably C# .NET.
• Good understanding of CI/CD Pipelines in a distributed environment using Git, Artifactory, Jenkins, SonarQube, Docker registry, etc.
• Hands-on experience with deploying and managing microservices using container orchestration platforms (on-prem/public cloud)

We also value the following soft skills:

• Can-do attitude and willingness to interface with multiple stakeholders.
• Excellent troubleshooting, follow-through, and problem-solving skills, with attention to detail.
• Excellent verbal and written communication skills.

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

The Advanced Remanufacturing and Technology Centre (ARTC) is a public-private partnership consortium of more than 80 industry members. Our core mission is to develop and deploy advanced manufacturing solutions and upskill the workforce to drive local industry competitiveness.

Smart Virtual Systems (SVS) Group is seeking a highly motivated Research Engineer/ Senior Research Engineer to implement highly available and scalable microservices-based applications and platforms for autonomous manufacturing applications. He/she is expected to be independent and initiative-driven, demonstrating the capacity to discover innovative solutions to challenges.

We are seeking a talented and experienced Software Engineer with experience in MLOps/AI to join our dynamic team. In this role, you will play a key role in software development and focusing on deploying machine learning models, implementing MLOps best practices. You will work closely with our cross-functional research teams to streamline model deployment, improve scalability and reliability of systems.

The key roles and responsibilities include the following:

• Develop, test, and maintain enterprise system and applications, with a focus in ML/AI systems.
• Implement MLOps best practices to automate model training, deployment, and monitoring processes.
• Implement and optimize machine learning algorithms and deep learning architectures.
• Collaborate with data scientists and software engineers to integrate machine learning solutions into existing systems and deliver high-quality software products.
• Optimize AI pipelines for scalability, reliability, and performance.
• Conduct performance analysis and optimization to improve model efficiency and accuracy.
• Stay updated on the latest advancements in software engineering, AI/ML technologies and best practices.

Job Requirements

• Bachelor or Master Degree in Computer Science/Engineering or relevant disciplines
• Must have a minimum of 5 years of experience as a Software Developer/Engineer
• Hands-on experience in Cloud Native Technologies such as in micro-services, DevSecOps, and Containerisation Technologies
• Proficiency in designing and developing microservices and software systems using C# .NET, Python and angular
• A good understanding of CI/CD Pipelines in a distributed environment using Git, Artifactory, Jenkins, SonarQube, Docker registry, etc.
• Hands-on experience with deploying and managing microservices using container orchestration platforms (on-prem/public cloud)
• Can do attitude and happy to interface with multiple stakeholders
• Excellent troubleshooting, follow-through, and problemsolving skills, with attention to detail
• Excellent verbal and written communication skills
• Hands-on experience with machine learning frameworks/libraries
• Understanding of machine learning algorithms and techniques
• Familiarity with deep learning architectures and natural language processing (NLP) techniques.

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.

ABOUT THE ROLE

We are seeking a highly motivated Research or Senior Research Engineer to implement highly available and scalable microservices-based applications and platforms for autonomous manufacturing applications. If you are independent and initiative-driven, demonstrating the capacity to discover innovative solutions to challenges, this is the role for you.

JOB DESCRIPTION

• Develop, test, and maintain enterprise planning systems and applications.
• Analyze complex problems related to resource planning and scheduling, identifying potential solutions, and implementing the most effective one.
• Collaborate with other developers and stakeholders to deliver high-quality software products.
• Deploy software to production environments and provide ongoing maintenance and support to customers.
• Take responsibility for documenting code with technical specifications, user manuals, and other documentation to facilitate understanding and maintenance by other team members.
• Identify and address bottlenecks, inefficiencies, and scalability issues to ensure optimal performance of the software system.

JOB REQUIREMENT

• Bachelor's or Master's Degree in Computer Science or Engineering or relevant disciplines.
• Minimum of 2 years of working experience as a Software Developer/Engineer

We value the following technical skills:

• Hands-on experience in Cloud Native Technologies such as microservices, DevSecOps, and Container Platforms
• Proficiency in designing and developing microservices using at least one programming language, preferably C# .NET.
• Good understanding of CI/CD Pipelines in a distributed environment using Git, Artifactory, Jenkins, SonarQube, Docker registry, etc.
• Hands-on experience with deploying and managing microservices using container orchestration platforms (on-prem/public cloud)

We also value the following soft skills:

• Can-do attitude and willingness to interface with multiple stakeholders.
• Excellent troubleshooting, follow-through, and problem-solving skills, with attention to detail.
• Excellent verbal and written communication skills.

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.

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-partnered Ignition research project where you will be part of a collaborative team exploring innovative ways of characterizing the physical and rheological properties of liquid personal care products and understanding the impact of these properties in product design and process development.

Key Responsibilities

• In this role, you will perform shear and extensional rheological characterization of a large variety of liquid personal care products including lotions, topical oils, and more. We will explore innovative and emerging methods of rheological characterization and analyzing rheological data to extract material parameters to build a database of materials. Working with our industrial partner we will establish an understanding of rheological properties that are useful for product formulation and process design related to lab and larger scale extrusion/dispensing applications.More specific responsibilities include:
  • Participate in and manage the research project with Principal Investigator (PI), and the research team members to ensure all project deliverables are met.
  • Undertake development of rheological protocols and characterization of liquid personal care products
  • Formulate model materials with various additives to understand their impact on product rheology
  • Design, execute, and interpret experiments independently and with support from the PI.
  • Prepare and deliver written articles, reports, and presentations for industrial partners and external audiences.
  • Attend and present at regular group meetings to receive feedback on work done and future plans
  • 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.

Job Requirements

• Have relevant competence in the areas of rheological characterization and analysis, wet lab work, material formulation
• Have a degree in pharmaceutical engineering, chemical engineering, mechanical engineering, food or materials science/engineering, or a related field. Possessing a Master’s degree will be advantageous.
• Knowledge of any of the following will be advantageous: material dispensing/extrusion processing, material science, textural and sensory analysis

Key Competencies

• Able to build and maintain strong working relationships with people within and external to the university.
• Self-directed learner who believes in continuous learning and development.
• Proficient in communicating via technical writing and presentations.
• Possess strong analytical and critical thinking skills.
• Show strong initiative and take ownership of work.

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

1. Conduct lab-based research and perform experiments.
2. Collaborate with colleagues both inside/outside the group.
3. Assist in daily lab management duties.
4. Present and report research results and publish scientific results in peer-reviewed journals in a timely manner.
5. Ensure compliance with environment, safety, health and quality program requirements from all levels (e.g. university, faculty of engineering and the department of MSE).
6. Translation and commercialization. Training will be provided

Job Requirements

A bachelor and a master degree in Chemical Engineering, Material Engineering or related field is required. The candidate should have 2-3 years of experiences in doing research.

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 a research project, funded by Singapore Ministry of Education (MOE), where you will be part of the research team to develop a scalable and comprehensive framework for formal verification of quantum programs. The framework consists of the following deliverables:
• Intermediate Language. We plan to develop an intermediate language to model quantum programs. The intermediate language would be complete to describe all the desired characteristics of quantum computing while at the same time simple enough to be understood by most programmers.
• Formal Verification Framework. We plan to develop a comprehensive framework to verify the correctness of quantum programs written in the proposed intermediate language.
• Mechanization. We plan to mechanize the formal framework using state-of-the-art theorem provers such as Coq or Isabelle/HOL.
• Proof Automation. We plan to develop formal methods for automatic reasoning that can be materialized into commercial tools.

Key Responsibilities:

• Participate in and manage the research project with Principal Investigator (PI) and the research team members to ensure all project deliverables are met.
• Undertake these responsibilities in the project:
  1. develop an intermediate language to write quantum programs.
  2. develop a comprehensive framework to verify the correctness of quantum programs written in our intermediate language.
  3. mechanize the verification framework using state-of-the-art theorem provers such as Coq or Isabelle/HOL.
  4. develop formal methods for automatic reasoning that can be materialized into commercial tools.
• 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 formal methods (including theorem proving and model checking, especially theorem proving), quantum computing, and software analysis/verification.
• Have a degree in computer science, computer engineering, or related areas. Possessing a Master’s or PhD degree will be advantageous
• Knowledge of separation logic and quantum program analysis/verification will be advantageous.

Key Competencies:

• Able to build and maintain strong working relationships with people within and external to the university.
• 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

Major Challenges:

As quantum computers are operated in extreme physical conditions and thus the cost per run is significantly high, it is desirable to verify the correctness of a quantum programs before the execution. However, the verification task of quantum programs is challenging due to the following reasons:

• Quantum programs (even written at high-level languages) are complicated to comprehend as it requires a good understanding of quantum mechanics and the relevant advanced mathematics.
• The quantum states are exponentially huge in size because the state of a classical bit is either 0 or 1 at any time, while the state of a quantum bit (qubit) can be in the superposition, where both states 0 and 1 can co-exist simultaneously. This induces the state explosion problem for brute-force-like methods.
• Quantum states are naturally probabilistic thus may yield different results on different runs, which is challenging for the testing and debugging methods.

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 flexible array ultrasound imaging system for velocity estimation.

Key Responsibilities:

• Participate in and manage the research project with Principal Investigator (PI), Collaborator and the research team members to ensure all project deliverables are met.
• Undertake these responsibilities in the project:
  i. To develop simulation models for flexible array ultrasound system
  ii. To develop custom phantoms for experimental studies
  iii. To design and develop non-linear signal processing algorithms including deep learning algorithms for image reconstruction
• 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 digital electronics, signal processing, machine learning and deep learning.
• Have a B-Engg or B. Tech degree in Electronics, Computer or Biomedical Engineering with undergraduate projects related to the relevant competence mentioned.
• Knowledge of biomedical signal processing will be advantageous.
• Should have proficiency in Matlab or Python.
• Prior experience in publishing is desirable.

Key Competencies

• Able to build and maintain strong working relationships with people within and external to the university
• 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

Major Challenges

• Integration of flexible arrays with research ultrasound platform
• Design and development of deep learning-based flexible array adaptive image reconstruction pipeline

A Corp Lab in NTU is looking for a Research Engineer I or II to work on Large Language Models for Health. This role requires a passion for innovation, the ability to work effectively in a collaborative environment, and a commitment to contributing to groundbreaking discoveries in project-based research.

Key Responsibilities:

• Work closely with the Principal Investigator (PI) and team members/engineers to design and implement LLMs-based conversational agents.
• Assist in data and LLM analysis and conducting experiments for project-based research questions.
• Assist in developing algorithms and models based on existing LLMs to enhance multi-turn conversations, proactive inquiry, and knowledge-guided common-sense reasoning in conversational agents.

Job Requirements:

• Master’s degree or Bachelor’s Degree in computer science/engineering.
• Solid knowledge in Natural Language Processing, LLMs, or conversational AI.
• Proficient in programming languages and frameworks relevant to machine learning, specifically Python and PyTorch.
• Able to test, debug and optimize existing code base and other features.
• Excellent communication skills and good problem-solving skills.
• Relevant publication record in NLP and conversational AI is preferred.

We regret that only shortlisted candidates will be notified.

Nanyang Technological University’s Strategic Centre for Research in Privacy-Preserving Technologies & Systems (SCRiPTS) represents a one-stop Centre for knowledge, technologies, and solutions for privacy-preserving problems in Singapore. The candidate will work with the research team to perform scientific research and contribute to industrial and government-related projects. For more details, please view https://www.ntu.edu.sg/scripts

We are looking for a Research Engineer to develop, implement and oversee our leading-edge backend application platform for SCRiPTS. The role will focus on software development with regards to verifiable computation.

The applicant should possess a good understanding of service-oriented architecture (SOA) middleware and integration technologies/ frameworks, with a keen interest in the application of privacy preserving technologies, machine learning, blockchain, and TEE.

Key Responsibilities:

• Installation and configuration, platform operations, troubleshooting and supporting API development, along with other related tasks.
• Development will focus on privacy-preserving techniques including but not limited to the field of Verifiable Computation (VC), Multi-Party Computation (MPC), Federated Learning (FL), blockchain, and Trusted Execution Environment (TEE).
• To learn the basics of privacy preserving technologies, machine learning, and blockchain.
• Work closely with our researchers to modify existing cryptographic libraries and/or develop similar modules.

Job Requirements:

• Bachelor’s degree in computer science/ engineering or related fields.
• Proficiency in programming languages Python, C/C++. Experience in other programming languages such as Java, Go, Rust will be an advantage. Experience in implementing smart contracts, and using frameworks such as Circom, SnarkJS, MP-SPDZ, TensorFlow will be an advantage.Proficiency with using common Linux distributions such as Ubuntu (including shell scripting) is a must. Knowledge on basic networking and communication protocols is a must, as this is needed to develop backend messaging requirements for certain privacy libraries. Knowledge of basic cryptographic primitives such as encryption, digital signatures, and hash functions will be an advantage.
• Good communication skills and some interdisciplinary interest is desired, to be able to interact with researchers as well as the DevOps team at the Centre.
• Ability to work independently and to develop solutions under strict timelines is a must
• Entry level candidates are welcome to apply.

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

Job Description:

• Responsible for developing and optimizing ion-implantation and rapid thermal anneal (RTA) processes to support IME's various program requirements.
• Responsibilities include diagnosing malfunctions and using test equipment or software to test faulty hardware parts, applying knowledge of the functional operation of the Ion implanter and RTA equipment.
• Collaborates closely with vendors to optimize equipment performance and reduce tool downtime.
• Setup and execute design of experiments (DOEs) at various dose, energy, tilt, and twist levels, and evaluate experimental data to meet required process specifications.
• Responsible for analyzing test data related to implant-related defect formation, and quantifying and minimizing defects.
• Champion process window characterization and evaluation to drive quality and yield improvement.
• Closely collaborate with process integration teams to implement technology roadmaps, define process capability requirements, and address structural implications and constraints related to ion-implantation and RTA processes.
• Work with fab team in establishing statistical process control for ion-implantation and RTA processes.
• Generate and present reports to both internal and external customers.

Requirements:

• Bachelors/Masters in Materials Science and Engineering, Physics, Electrical Engineering, or closely related fields are welcome to apply.
• 3 years direct industry experience in ion-implantation, RTA and SiC MOSFET fabrication is preferred.
• Extensive proficiency in medium and high energy/current ion implantation, and RTA processes, including a comprehensive knowledge of equipment, equipment parts, and troubleshooting techniques to minimize equipment downtime.
• Good understanding of wide bandgap semiconductor materials and their corresponding dopant species.
• Expertise in ion channeling, ion bombardment, and their impact on the implant species profile.
• In-depth comprehension of defect formation and annihilation processes in the implanted region of semiconductors.
• Familiarity with essential device properties resulting from ion implantation and RTA processes.
• Understanding of the hardware of ion-implantation and RTA systems is advantageous.
• Knowledge and prior hands-on experience on basic process characterization techniques such as SEM/TEM, EDX, SIMS, Ellipsometry is advantageous.
• Possess good interpersonal and oral/written communication skills, with ability to deliver clear and concise messages to both internal and external stakeholders.