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.

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 thermal management of flexible electronics. You will play a key role in designing and fabricating flexible electronic devices, with a specific focus on solving challenges related to overheating and heat dissipation.

Responsibilities:

• Design and fabricate integrated thermal management system for flexible electronics devices, including RF devices.
• Conduct thermal simulations to identify potential thermal issues and optimize the heat dissipation capabilities of the devices.
• Develop and implement innovative thermal management materials, structures, and approaches to address overheating challenges in flexible electronics.
• Explore and evaluate new materials for efficient heat transfer, storage, and dissipation in flexible electronic devices.
• Collaborate with interdisciplinary team members to integrate thermal management solutions into the overall device design and fabrication process.
• Perform experimental characterization of thermal properties and performance of flexible electronic devices using appropriate measurement techniques and equipment, including IR thermal imaging and thermal reflectance system.

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.

To apply, please submit your application materials, including a cover letter and curriculum vitae.

Review of applications will begin immediately and continue until the position is filled.

Qualifications

Candidate should meet at least 4 criteria from the following list:

• Bachelor’s or Master’s Degree in Electrical Engineering, Chemistry, Materials Science, or a related field with a focus on flexible electronics and thermal management.
• Strong background in thermal management of electronic devices.
• Proficiency in thermal simulation software for analyzing and optimizing thermal performance.
• Knowledge of thermal management techniques and strategies for flexible electronics, including heat dissipation mechanisms and materials.
• Experience in developing and characterizing novel materials for heat transfer, storage, and dissipation in electronic devices.
• Familiarity with experimental techniques for thermal characterization, such as thermal imaging and thermal reflectance.
• Strong problem-solving skills and ability to think critically about thermal management challenges in flexible electronics.
• Excellent written and verbal communication skills, with the ability to present research findings effectively.
• Track record of research publications in reputable scientific journals.

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 optimize the spray drying processes for collagen and gelatine powder production, ensuring high-quality and consistent output.

Key Responsibilities

• Manage research project with Principal Investigator (PI), Co-PI and team members to ensure all project deliverables are met
• Participate in brainstorming and ideation, conduct research and experiments, create functional models, and maintain documentation of design development
• Develop system from embodiment of concept to detailed design of parts and assemblies, including selection of standard components, through application studies, analyses and calculations
• Organise procurement of required electrical and mechanical components as well as commercial devices
• Guide students to carry out assembly of submodules, integration of system and testing of machines
• Coordinate maintenance of associated equipment with POD technical officers when required
• Perform risk assessment, and ensure compliance with workplace safety and health regulations

Job Requirements

• Bachelor's degree or higher in mechanical engineering, or related field.
• Professional-level competency in mechanical system and part design
• Strong prototyping skills
• Proficiency in CAD software, such as SolidWorks or Creo Parametric
• Mechanical engineering degree
• Minimum design experience of 5 years

Key Competencies

• Show strong initiative and take ownership of work.
• Demonstrates expertise in experimental design and execution, with good analytical thinking and problem-solving skills.
• Able to build and maintain strong working relationships with people within and external to the university.
• Good communication and interpersonal skills.

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 8 years of working experience as a Software Developer/Engineer
• 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, Java, or Python
• 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 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.

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 6 years of working experience as a Software Developer/Engineer
• 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, Java, or Python
• 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 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.

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 learning to optimize research project. Successful candidate will be part of an active research team led by Assistant Prof MA Dong from School of Computing and Information Systems, Singapore Management University.

• Literature review
• Developing graph neural network and reinforcement learning assisted optimization algorithm
• Benchmarking with traditional optimization algorithm
• Real-world dataset collecting and testing
• Data analysis and evaluation
• Publishing academic papers

• Minimum Bachelor's/Master's degree in Computer Science, Information Technology, Information Systems or closely related disciplines from a reputable institution of higher learning
• Minimum one year of relevant research experience in machine learning
• Basic knowledge/Proficiency in programming software/languages such as Python will be positively considered/ is required
• Demonstrated experience and know-how on solving optimization problem
• Experience with at least one programming software/languages, such as Pytorch or Tensorflow is preferred
• Excellent working knowledge of machine learning including graph neural network and reinforcement learning
• Good analytical, technical and problem solving skills
• Applicants with research publications in machine learning will be advantageous
• Self-motivated individual who can work independently and also collaboratively with team members

#LI-JN2

The A*STAR Institute for Human Development and Potential (A*STAR IHDP) focuses on research that aims to improve and impact the health and well-being of Singaporeans across the life course.

Job Description:
We are seeking for a highly motivated individual to take on the functional role that combines software engineering and Generative AI for data discovery and analytics environment building for strategic research datasets.

Job Responsibilities:

• Develop an interactive shopping cart from the metadata of strategic research datasets such as the Integrative Adolescence Research Programme (IARP).
• Develop and integrate a Generative AI assistant for question-answering capability of metadata and data visualisations.
• Implement an analytics environment, integrating of Qualtrics API event trigger and data lakehouse for research data analyses.

Job Requirements:

• A Bachelor/Master Degree in Public Health, Data Science, Statistics, Computer Science, Artificial Intelligence or related field.
• Good programming skills (React JS, Python).
• Experience with cloud-based Generative AI frameworks (Azure OpenAI, Azure AI Studio, Amazon Bedrock).
• Experience with multi-cloud data lakehouse implementations (Azure, AWS).
• Good team player and communication skills for collaborative research.
• 0 to 5 years' experience

Digital Trust Centre (DTC) is looking for a candidate to join them as a Senior Research Engineer I

Key Responsibilities:

• Conduct research into trust technologies testing – translating research algorithms, and design/develop tools and frameworks into working prototypes that can explain how research outputs can be productised into new capabilities
• Work closely with Centre’s researchers to design and develop system implementation work from research into product
• Design and build working tools that can support technology transfer of new research capabilities to practical solution capabilities that can be used to showcase the value of a given research outcome
• Write and maintain technical documentation, presentations, and papers on research into trust technologies testing, help to educate and raise the overall competency of Singapore manpower in emerging areas of trust technologies
• Engage global partners and researchers to understand latest trends and advance Singapore’s mindshare in this domain
• Responsible for the system and architecture design of trust solutions for digital transformation in addition to their engineering and implementation

Job Requirements:

• Masters’ degree in computer science, software engineering, information theory or relevant field
• 5 years of experience in software engineering, system development
• Familiar with at least one of the following programming languages: C/C++, Python, Java
• Good communication skills
• Self-motivated, and could deliver under tight schedule

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

Job Description:

Be part of an exciting team working on cutting-edge advanced packaging process technologies. Participate in process development and integration solution to enable advanced packaging process technologies in the world of mobile, IoT, consumer and high-performance computing area. Partner and work with various teams from inside and outside of IME to help develop leading-edge packaging solutions for our customers, taking the solutions from concept to mass production. Responsibilities will include assisting in operations support in clean room to make sure projects are completed successfully and delivered on time.

This position is based in Singapore.

Responsibilities:

• Operate semiconductor equipment to perform processes, measurement, and inspection of wafers. (Include equipment setup, loading and unloading of wafers)
• Monitor basic equipment/process errors and perform recovery.
• Work with internal and external parties to align for tool time, execute process sequence and collect data to feedback to integration owner.
• Logistically transport wafer lots between equipment within cleanroom and between worksites.
• Identify and address potential areas for improvements such as cycle time, utilization, and cost.
• Perform chemical change/ top-up for equipment under supervision.
• Understand and follow all Environmental, Health and Safety (EHS) procedures and requirements.
• The candidate may be required to perform shift work (Mon-Fri).

Experience:

• NITEC/ Diploma in Electrical/Mechanical/Chemical Engineering
• Basic understanding on semiconductor process is preferred
• 1-3 years of experience in semiconductor processes (Litho, Etch, CVD, PVD, Plating, Metrology etc.) will be added advantages

Job Description:

Be part of an exciting team working on cutting-edge advanced packaging process technologies. Participate in process development and integration solution to enable advanced packaging process technologies in the world of mobile, IoT, consumer and high-performance computing area. Partner and work with various teams from inside and outside of IME to help develop leading-edge packaging solutions for our customers, taking the solutions from concept to mass production. Responsibilities will include assisting in operations support in clean room to make sure projects are completed successfully and delivered on time.

This position is based in Singapore.

Responsibilities:

• Operate semiconductor equipment to perform processes, measurement, and inspection of wafers. (Include equipment setup, loading and unloading of wafers)
• Monitor basic equipment/process errors and perform recovery.
• Work with internal and external parties to align for tool time, execute process sequence and collect data to feedback to integration owner.
• Logistically transport wafer lots between equipment within cleanroom and between worksites.
• Identify and address potential areas for improvements such as cycle time, utilization, and cost.
• Perform chemical change/ top-up for equipment under supervision.
• Understand and follow all Environmental, Health and Safety (EHS) procedures and requirements.
• The candidate may be required to perform shift work (Mon-Fri).

Experience:

• NITEC/ Diploma in Electrical/Mechanical/Chemical Engineering
• Basic understanding on semiconductor process is preferred
• 1-3 years of experience in semiconductor processes (Litho, Etch, CVD, PVD, Plating, Metrology etc.) will be added advantages

The A*STAR Institute for Human Development and Potential (A*STAR IHDP) focuses on research that aims to improve and impact the health and well-being of Singaporeans across the life course.

Job Description:
We are seeking for a highly motivated individual to take on the functional role that combines software engineering and Generative AI for data discovery and analytics environment building for strategic research datasets.

Job Responsibilities:

• Develop an interactive shopping cart from the metadata of strategic research datasets such as the Integrative Adolescence Research Programme (IARP).
• Develop and integrate a Generative AI assistant for question-answering capability of metadata and data visualisations.
• Implement an analytics environment, integrating of Qualtrics API event trigger and data lakehouse for research data analyses.

Job Requirements:

• A Bachelor/Master Degree in Public Health, Data Science, Statistics, Computer Science, Artificial Intelligence or related field.
• Good programming skills (React JS, Python).
• Experience with cloud-based Generative AI frameworks (Azure OpenAI, Azure AI Studio, Amazon Bedrock).
• Experience with multi-cloud data lakehouse implementations (Azure, AWS).
• Good team player and communication skills for collaborative research.
• 0 to 5 years' experience

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 Pharmaceutical Innovation Programme Singapore research project where you will be part of a collaborative team exploring innovative ways of understanding extrusion processing for pharmaceutical drug materials and products using rheological measurements.

Key Responsibilities

In this role, you will characterize mixtures of pharmaceutical excipients and drug materials to develop methodologies for screening hot-melt extrusion formulations and selecting optimal operating conditions using rheology, with the objective of producing amorphous-solid-dispersions. You will validate the developed processing space and operating conditions for extruded pharmaceutical formulations using a lab-scale extruder. In collaboration with researchers at the Singapore-MIT Alliance for Research and Technology (SMART), you will characterize the physical properties and performance of intermediate pharmaceutical drug products. The created methods will be transferred to the industrial partner to enhance their product development process using rheological characterization.

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 characterization of pharmaceutical active ingredients, polymeric excipients, and plasticizers for producing amorphous-solid-dispersions.
• Perform lab-scale hot-melt extrusion of pharmaceutical materials to validate predicted processing conditions and product outcomes.
• Collaborate with broader pharmaceutical research team at SMART.
• Design, execute, and interpret experiments independently.
• Author papers in high-quality journals in areas that are related to the research.
• Prepare and deliver reports and presentations for industrial partners
• Carry out Risk Assessment, and ensure compliance with Work, Safety and Health Regulations.
• Coordinate procurement and liaise with vendors/suppliers.
• Work independently, as well as within a team.

Job Requirements

• Have deep hands-on experience with at least one of the areas of polymer rheology, extrusion processing, pharmaceutical engineering with small molecules.
• Relevant competence in the areas of wet lab work, analytical instrumentation, material science and formulation
• Have an advanced degree in chemical engineering, mechanical engineering, materials science and engineering, or a related field.
• Knowledge of any of the following will be advantageous: rheology, physical characterisation, crystallisation, polymer melts, extrusion, material physics.

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.

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

• Curation of SEA food datasets including samples images and recipes
• Training of the model with food datasets
• Experiment setup for user studies

• Minimum bachelor's degree in computer science, Information Technology, Information Systems or closely related disciplines from a reputable institution of higher learning
• Good knowledge in AI and generative AI
• Good skill in computer programming
• Good knowledge in dataset curation, including web crawling of images and recipes, data cleaning and preparation of dataset for deep learning
• Knowing at least one of the following Southeast Asia languages: Malay, Tamil, Indonesian, Thailand, Vietnamese, Filipino, Burmese.
• Self-motivated individual who can work independently as well as collaboratively in a team to engineer challenging problems

#LI-JN2

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 advance an industry-focused research project by developing and optimizing an LLM-based chatbot specifically designed for the hotel industry, delivering innovative solutions for guest interaction and data handling to meet industry standards and drive the organization’s technological edge.

Key Responsibilities:

1. LLM Chatbot Development and Optimization

• Design, develop, and maintain an advanced LLM-based chatbot utilizing a multi-agent approach, specifically tailored to the unique needs of the hotel industry.
• Implement solutions for effective data handling, conversation history tracking, and response adaptation to enhance the chatbot’s relevance, accuracy, and safety in real-time interactions.

2. Technical Support and Integration Assistance

• Provide hands-on technical support to collaborating partners, ensuring seamless integration of the chatbot into existing hotel systems.
• Respond to partner feedback by troubleshooting and implementing updates to continually improve chatbot functionality and user experience.

3. Collaboration on Innovative Research and Development

• Work closely with students on LLM-related projects, focusing on the design of novel chatbot solutions that prioritize data security and sensitive information handling within the hotel industry.
• Contribute to developing new methodologies that enhance chatbot capabilities while addressing industry challenges in privacy and data protection.

4. Project Coordination and Reporting

• Work under the guidance of the Principal Investigator (PI) to ensure project milestones are met, maintaining clear and regular communication on progress, challenges, and future needs.
• Document development processes, maintain records of project achievements, and prepare reports as needed to support project goals and stakeholder updates.

Job Requirements:

1. Education and Knowledge

• Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Data Science, or a related field.
• Strong knowledge experience with Large Language Models (LLMs), preferably applied in a business or industry context.
• Familiarity with multi-agent systems, chatbot frameworks, and machine learning techniques.
• Demonstrated experience in collaborative research or development projects.

2. Technical Skills

• Proficiency in programming languages such as Python, and experience with LLM-related libraries and tools (e.g., Hugging Face, PyTorch, TensorFlow).
• Experience with chatbot development, deployment, and optimization, including integration with partner systems.
• Knowledge of conversational AI best practices, including techniques for maintaining conversation history, data handling, and adaptive response mechanisms.

3. Personal Qualities

• A passion for innovation and a strong desire to create and refine new technologies, particularly in AI-driven solutions for real-world applications.
• Ability to think creatively and proactively solve complex problems while maintaining a high attention to detail.

Key Competencies:

1. Innovative Thinking and Problem Solving

• Ability to approach complex challenges with creative solutions, particularly in applying LLM technology to new and specialized industry applications.

2. Collaboration and Communication

• Strong interpersonal and communication skills to effectively collaborate with technical and non-technical stakeholders, including partners, students, and team members.
• Capability to translate technical concepts for diverse audiences and incorporate feedback into ongoing development.

3. Technical Proficiency

• Skilled in deploying, fine-tuning, and troubleshooting chatbot systems, with a focus on ensuring functionality, accuracy, and user satisfaction.
• Ability to adapt and scale solutions to address evolving requirements and maintain best practices in data handling and security.

4. Adaptability and Continuous Learning

• Openness to learning new tools and technologies in the rapidly evolving field of LLMs and AI.
• Ability to stay updated on industry trends and integrate relevant advancements into project work.

5. Passion for Innovation

• Strong enthusiasm for creating new, impactful solutions and contributing to advancements in conversational AI for the hotel industry.

Major Challenges:

1. Balancing Innovation with Practicality

• Designing a cutting-edge LLM chatbot that meets high industry standards for innovation, while ensuring that it remains functional, efficient, and practical for real-world use in the hotel industry.

2. Data Privacy and Security

• Ensuring compliance with strict data privacy regulations and implementing robust security measures to protect sensitive customer information, especially given the hospitality sector’s unique data handling needs.

3. Technical Integration with Partner Systems

• Addressing compatibility and integration challenges when embedding the chatbot into diverse hotel management systems and workflows, requiring close coordination and technical support.

4. Adapting to Evolving Industry Needs

• Continuously refining the chatbot to align with changing requirements, including adapting to feedback from partners and staying responsive to emerging trends and user expectations in the hospitality industry.

5. Maintaining High-Quality User Interaction

• Balancing response accuracy and relevance while preserving a conversational, user-friendly experience, which is especially challenging in complex, multi-turn conversations.

6. Resource and Time Constraints

• Achieving project milestones within the one-year contract period, while managing the technical complexities and scope of multi-agent LLM development under limited resources.

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

• Curation of SEA food datasets including samples images and recipes
• Training of the model with food datasets
• Experiment setup for user studies

• Minimum bachelor's degree in computer science, Information Technology, Information Systems or closely related disciplines from a reputable institution of higher learning
• Good knowledge in AI and generative AI
• Good skill in computer programming
• Good knowledge in dataset curation, including web crawling of images and recipes, data cleaning and preparation of dataset for deep learning
• Knowing at least two popular Southeast Asia languages (e.g., English, Chinese, Malay, Tamil, Thailand, Vietnamese). Candidate knowing more than two languages are highly preferred.
• Self-motivated individual who can work independently as well as collaboratively in a team to engineer challenging problems

#LI-JN2

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

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

We regret that only shortlisted candidates will be notified.

Job Description

A Research Engineer position is open in the research group of A/P Wang Xinchao, at the Department of Electrical and Computer Engineering, National University of Singapore (NUS). The Research Engineer will work closely with the Principal Investigator (PI) on one or more research projects. The candidate will join the research team in the areas of Deep Learning and Vision Applications.

The successful candidate is required to:

• Contribute to Dialogue, Speech Signal Processing and Machine Learning algorithms.
• Contribute to Image Processing and Machine Learning algorithms.
• Contribute to the implementation of Automatic Speech Recognition framework and development of systems.
• Contribute to the implementation of machine learning framework and development of image processing systems.
• To advance the knowledge, to publish in leading journals and conferences.
• To prepare and meet the project deliveries and milestones.

Qualifications

• Recognised degree in Bachelor / Master in Electrical Engineering, Computer Science or Computer Engineering
• Strong programming skills in one of the programming languages: C / C++, Matlab, Python
• Have prior project related experience
• Good team player and be able to work independently.
• Strong organizational, writing and interpersonal communications.
• Meticulous, able to work well under pressure and commitment to meet tight deadlines
• Open to fixed-term contract.

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 seek a full-stack engineer passionate about delivering the best user experience for cutting-edge technology. You will build the back end, which empowers the next-generation AI assistant, and the front end, which creates seamless new workflows.

Responsibilities

• Work with the core research team to idealize design concepts
• Participate in all aspects of agile software development, including design, implementation, and deployment
• Architect and design end-to-end systems optimized for speed and scale
• Build the front-end of applications through appealing visual design
• Test software to ensure responsiveness and efficiency
• Build features and applications with a mobile responsive design
• Write technical documentation

Qualifications

• Bachelor’s degree (or equivalent) in computer science, information technology, engineering, or related field.
• Interest in learning new tools, languages, workflows, and philosophies
• At least one year of experience in building software applications
• Experience in building web applications, and designing and integrating RESTful APIs are added advantages.
• Knowledge of multiple front-end languages and libraries (e.g. HTML/ CSS, JavaScript, XML, jQuery)
• Knowledge of multiple back-end languages (e.g. C#, Java, Python) and JavaScript frameworks (e.g. Angular, React, Node.js)
• Familiarity with databases (e.g. MySQL, MongoDB), web servers (e.g. Apache), and UI/UX design
• Excellent debugging and optimization skills
• Experience in unit/integration testing
• Excellent communication and teamwork skills
• Employment type: 12 months' contract

Only shortlisted candidates will be notified.

As a Research Engineer here, you will be responsible for building AI systems that can perform previously impossible tasks or achieve unprecedented levels of performance. We're looking for people with solid engineering skills (for example designing, implementing, and improving a massive-scale distributed machine learning system), writing bug-free machine learning code, and building the science behind the algorithms employed.

The most outstanding deep learning results are increasingly attained at a massive scale, and these results require engineers who are comfortable working in large distributed systems. We expect engineering to play a key role in most major advances in AI of the future.

We expect you to:

• Have strong programming skills
• Have experience working in large distributed systems
• Be excited about OpenAI’s approach to research

Nice to have:

• Interested in and thoughtful about the impacts of AI technology
• Past experience in creating high-performance implementations of deep learning algorithms

About OpenAI

OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity.

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 first-of-its kind AI-assisted integrated NDT verification system for reusability of structural steel with accuracy of ±10% at confidence level of 95%. The key innovation is to use AI to analyse a bigger data set and build a multi-parameter machine learning (ML) model that integrate the complex mechanical properties obtained from DT and the electric/magnetic permeability data obtained from NDT to predict the critical material characteristics of reusable steels.

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:
  1. Establishing test result database: Conducting both DTs and NDTs on the same samples to create a comprehensive dataset for AI model development, managing data collection processes on-site at the collaborator’s factory, and ensuring the accuracy and integrity of the collected data.
  2. Developing statistical model: Utilizing DT results to develop statistical models for estimating mechanical characteristics based on normal distribution and analyzing statistical data to support model development.
  3. Developing and verifying the AI model: Developing various regression models and evaluate their feasibility and suitability, conducting model fitting and verification phases using training and test datasets and ensuring the selected model meets the accuracy criteria (±10% at 95% confidence) for individual mechanical characteristics and overall classification results (grade determination).
  4. Validation of the method: Implementing the proposed method and AI model in test bedding cases, measuring the impact of the method in terms of time and cost savings and developing implementation guidelines based on validation results.
• 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.
• Publish research findings in peer-reviewed journals and present at conferences.
• Assist in the preparation of project reports, proposals, and documentation.

Requirements

• Have relevant competence in the areas of structural engineering, material science, statistics and programming basics.
• Have a degree in Civil Engineering, Mechanical Engineering or Material Science. Possessing a Master’s or PhD degree will be advantageous.
• Knowledge of AI / ML and common ML programming languages 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
• Able to carry out data preprocessing, develop statistical and regression models.
• Possess knowledge of the mechanical properties of structural steel and factors affecting its performance
• Able to prioritize tasks, meet deadlines, and manage multiple responsibilities.

Summary of Role:
The candidate in this role is responsible for planning the supply of spare/maintenance/consumable parts to maintain optimum inventory levels (consumables, spares, etc.) and ensure the efficient running of the center. His other roles are being ISO certified and working on End Users Certifications (EUC).

Essential Responsibilities include:

• Plan and schedule Spare parts requirements based on demand plan/material requirement requests from Fabs.
• Regularly review inventory levels for specific categorization of materials.
• Regular monitoring of critical materials to ensure uninterrupted manufacturing.
• Coordinate with warehouse/logistics to ensure accurate inventory levels and stock availability.
• Publish essential spare parts metrics/KPIs to management on a timely basis.
• Derive the material requirement plan based on the master production schedule to procure and source.
• Good Knowledge of Inventory management.
• Oversee the department R&M/Chemicals, etc. stores – upkeep with house-keepings, periodic cycle counts.
• Maintain the inventory database, ensuring timely and accurate recordings.
• In charge of day-in-day-out logistics operations.
• Coordinate with and on the movement of materials.
• Must work closely with operation teams on the center's logistic needs.
• Ensure to adhere to zero safety requirements.
• Work on continuous improvement program in logistics operations.
• Ability to work in a multi-task environment.
• Providing day-to-day operations in FAB production material planning, inventory management, and procurement.
• Planned and monitored production schedule in the high-mix, low-volume environment (HMLV).
• Collaborate across departments in the planning process to plan and purchase materials requirements and meet the production plan effectively.
• Follow through with the orders from the start till delivery and ensure that goods are delivered on time.
• Ability to work in a multi-task environment.

Other Responsibilities:

• Perform all activities safely and responsibly and support all Environmental, Health, Safety & Security (EHS) requirements and programs.
• Support ISO certification and across suppliers' EUC requirements
• Support internal audit program by conducting ISO9001/TS16949 audits, gap analysis, and corrective action implementation
• Research best practices and conduct benchmarking related to QMS processes, methods, and tools
• Based upon the overall Quality System performance, identify critical systems or processes where quality improvements are required, initiate projects or activities to analyze, evaluate and propose solutions to address the problem and improve performance

Required Qualifications:

• Minimum of 5 years of professional experience in procurement, consulting, program management, and supply chain & inventory
• Direct experience in pricing and contract negotiations, supplier relationship management, business strategy, contract manufacturing/outsourcing, and continuous process improvement
• Communicate complex information clearly and concisely.
• Develop and maintain collaborative business relationships with stakeholders and align ISO/EUC requirements for the program.
• Interact with all levels of the organization.
• Perform in a very fast-paced environment.

Summary of Role:
The candidate in this role is responsible for planning the supply of spare/maintenance/consumable parts to maintain optimum inventory levels (consumables, spares, etc.) and ensure the efficient running of the center. His other roles are being ISO certified and working on End Users Certifications (EUC).

Essential Responsibilities include:

• Plan and schedule Spare parts requirements based on demand plan/material requirement requests from Fabs.
• Regularly review inventory levels for specific categorization of materials.
• Regular monitoring of critical materials to ensure uninterrupted manufacturing.
• Coordinate with warehouse/logistics to ensure accurate inventory levels and stock availability.
• Publish essential spare parts metrics/KPIs to management on a timely basis.
• Derive the material requirement plan based on the master production schedule to procure and source.
• Good Knowledge of Inventory management.
• Oversee the department R&M/Chemicals, etc. stores – upkeep with house-keepings, periodic cycle counts.
• Maintain the inventory database, ensuring timely and accurate recordings.
• In charge of day-in-day-out logistics operations.
• Coordinate with and on the movement of materials.
• Must work closely with operation teams on the center's logistic needs.
• Ensure to adhere to zero safety requirements.
• Work on continuous improvement program in logistics operations.
• Ability to work in a multi-task environment.
• Providing day-to-day operations in FAB production material planning, inventory management, and procurement.
• Planned and monitored production schedule in the high-mix, low-volume environment (HMLV).
• Collaborate across departments in the planning process to plan and purchase materials requirements and meet the production plan effectively.
• Follow through with the orders from the start till delivery and ensure that goods are delivered on time.
• Ability to work in a multi-task environment.

Other Responsibilities:

• Perform all activities safely and responsibly and support all Environmental, Health, Safety & Security (EHS) requirements and programs.
• Support ISO certification and across suppliers' EUC requirements
• Support internal audit program by conducting ISO9001/TS16949 audits, gap analysis, and corrective action implementation
• Research best practices and conduct benchmarking related to QMS processes, methods, and tools
• Based upon the overall Quality System performance, identify critical systems or processes where quality improvements are required, initiate projects or activities to analyze, evaluate and propose solutions to address the problem and improve performance

Required Qualifications:

• Minimum of 5 years of professional experience in procurement, consulting, program management, and supply chain & inventory
• Direct experience in pricing and contract negotiations, supplier relationship management, business strategy, contract manufacturing/outsourcing, and continuous process improvement
• Communicate complex information clearly and concisely.
• Develop and maintain collaborative business relationships with stakeholders and align ISO/EUC requirements for the program.
• Interact with all levels of the organization.
• Perform in a very fast-paced environment.

Lab Officer/ Research Engineer

Job Description:

Be part of an exciting FAB Operations Team working on cutting-edge advanced packaging process technologies.
This position is based in Singapore.

Responsibilities:

• Operate multiple type of semiconductor equipment in cleanroom environment.
• Ability to use computer-based programs and applications to perform daily work/duties.
• Operate equipment based on the required process specifications (e.g. procedures, change notifications, etc.).
• Participate actively and be responsible in assigned on-the-job assignments and other required trainings when requested.
• Provide machine operations coverage and backup supports when necessary.
• Adequate understanding of the Equipment in-charge, monitor performance, timely communication with Engineers-in-charge to perform equipment errors recovery promptly when necessary.
• Demonstrate excellent teamwork to promptly execute process sequences and data collections if required.
• Always follow safety protocols & rules in the Clean Room.
• Ensure 6S in the work environment and promptly report hazards/ suspicious/ abnormal activities or personnel if any identified.
• Address potential areas for improvements such as wafers processing cycle time, Equipment utilization, Safety/ Compliances, and cost savings.

Experience:

• Diploma in MicroElectronics/Electrical/Mechanical/Chemical Engineering.
• Basic understanding on semiconductor process is preferred.
• 1-3 years of experience in semiconductor processes (Diffusion, Wet Clean, CMP, ECP, Litho, Etch, CVD, PVD, etc.) will be added advantages.
• Must be a self-starter, dependable and highly motivated

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

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

• Minimum Master Degree in Software Engineering/Computer Science/Computer Technology/ Information Systems from a top-tier or local university
• Minimum 1 year of relevant research experience in software engineering
• Excellent knowledge about software engineering research
• Excellent knowledge about AI• Highly fluent in programming
• Competent in designing and implementing algorithms and data structures
• Excellent oral and written communication skills
• Excellent analytical, technical and problem solving skills
• Self-motivated individual who can work independently and also collaboratively with team members
• Able to work under strict deadlines

#LI-JN2

JOB DESCRIPTION

We are looking for a strong candidate with strong AI background and experiences in audio, speech AI training for industrial projects on audio & speech recognitions.

Key Responsibilities: Work on audio processing, data preparation and multiple model training of multi-language code-switch ASR for projects.

JOB REQUIREMENT

• Has a related B.S degree in Computer Science or Software Engineering with min 5 years of relevant experience
• Experiences in speech signal processing, speech recognition, in both hybrid models, supervised E2E models, LLMs fine-tuned models and deep learning
• Strong in the following programming languages: Python, Pytorch, C/C++, Linux Bash/Shell
• Knowledge in web-based and app developments for demo systems is advantageous

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

JOB DESCRIPTION

We are looking for a strong candidate with strong AI background and experiences in audio, speech AI training for industrial projects on audio & speech recognitions.

Key Responsibilities: Work on audio processing, data preparation and multiple model training of multi-language code-switch ASR for projects.

JOB REQUIREMENT

• Has a related B.S degree in Computer Science or Software Engineering.
• Experiences in speech signal processing, speech recognition, in both hybrid models, supervised E2E models, LLMs fine-tuned models and deep learning
• Strong in the following programming languages: Python, Pytorch, C/C++, Linux Bash/Shell
• Knowledge in web-based and app developments for demo systems is advantageous

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.