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.

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 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

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.

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.

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.

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.

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

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

We are looking for a self-motivated candidate with expertise in high performance digital design and system level architecture modeling to join our Heterogeneous System design team. This candidate will work closely with IME's advanced packing team and contribute to the exploration, optimization and development of multicore & multi-chip system using IME's heterogeneous integration platform.

Job Description:

Digital IC Design and system-level exploration:

• Contribute to the design and development of digital integrated circuits, ensuring they meet performance and functionality requirements.
• Emphasize a system-level perspective in the design process, considering overall system architecture and functionality.
• Incorporate Edge AI principles into digital IC designs, enabling efficient and intelligent processing at the edge of the network.
• RTL implementation for custom circuit design using Verilog/SystemVerilog
• Derive specs and implement necessary customized and highly efficient building blocks such as systolic array, data path controller, scheduler, integer and floating-point processing engine, FFT, etc which are frequency used in various computing architectures.

Simulation, Verification, and Implementation:

• Conduct thorough simulation and verification of digital designs to validate functionality and performance.
• Utilize FPGA in digital IC designs, leveraging its flexibility and reconfigurability for system emulation and architecture exploration
• Perform timing analysis and collaborate with the team to optimize designs for timing closure.
• Contribute to power analysis activities and implement power-efficient design techniques.

Publish research works in prestigious conferences and Journals such as ISSCC, VLSI Symp, A-SSCC, DAC, JSSC and TCAS-I/II.

Prepare detailed design documentation, including specifications, test plans, and reports.

Troubleshoot and debug digital IC designs with a focus on identifying and addressing system-level issues.

Bring creative and innovative solutions to design challenges, staying abreast of industry trends and emerging technologies.

Requirements:

• Master's, or Ph.D. in Electrical Engineering, Computer Engineering, or a related field. The candidate should have prior experiences in IC tape-out of digital/mixed signal SoC and system level modelling and optimization using industry standard tools from leading EDA vendors such as Cadence, Synopsis and Matlab.

We are looking for a self-motivated candidate with expertise in high performance digital design and system level architecture modeling to join our Heterogeneous System design team. This candidate will work closely with IME's advanced packing team and contribute to the exploration, optimization and development of multicore & multi-chip system using IME's heterogeneous integration platform.

Job Description:

Digital IC Design and system-level exploration:

• Contribute to the design and development of digital integrated circuits, ensuring they meet performance and functionality requirements.
• Emphasize a system-level perspective in the design process, considering overall system architecture and functionality.
• Incorporate Edge AI principles into digital IC designs, enabling efficient and intelligent processing at the edge of the network.
• RTL implementation for custom circuit design using Verilog/SystemVerilog
• Derive specs and implement necessary customized and highly efficient building blocks such as systolic array, data path controller, scheduler, integer and floating-point processing engine, FFT, etc which are frequency used in various computing architectures.

Simulation, Verification, and Implementation:

• Conduct thorough simulation and verification of digital designs to validate functionality and performance.
• Utilize FPGA in digital IC designs, leveraging its flexibility and reconfigurability for system emulation and architecture exploration
• Perform timing analysis and collaborate with the team to optimize designs for timing closure.
• Contribute to power analysis activities and implement power-efficient design techniques.

Publish research works in prestigious conferences and Journals such as ISSCC, VLSI Symp, A-SSCC, DAC, JSSC and TCAS-I/II.

Prepare detailed design documentation, including specifications, test plans, and reports.

Troubleshoot and debug digital IC designs with a focus on identifying and addressing system-level issues.

Bring creative and innovative solutions to design challenges, staying abreast of industry trends and emerging technologies.

Requirements:

• Master's, or Ph.D. in Electrical Engineering, Computer Engineering, or a related field. The candidate should have prior experiences in IC tape-out of digital/mixed signal SoC and system level modelling and optimization using industry standard tools from leading EDA vendors such as Cadence, Synopsis and Matlab.

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.

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.

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

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

We regret that only shortlisted candidates will be notified.

Job Description

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

Responsibilities:

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

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

Qualifications

The candidate must possess:

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

Job Description

The Advanced Remanufacturing and Technology Centre (ARTC) is a contemporary public-private partnership, spearheaded by A*STAR in collaboration with NTU Singapore, to bridge technology gaps in advanced manufacturing and remanufacturing adoption. Smart Virtual Systems Group of ARTC specialises in developing innovative platforms and infrastructure capabilities that enable immersive and connected services for the manufacturing industry.

SVS is seeking a highly motivated Research Engineer to develop highly available and scalable microservices-based applications and AI platform for autonomous manufacturing applications. He/she is expected to demonstrate a high level of independence and initiative, with the ability to effectively engage internal and external stakeholders to deliver solutions.

The key roles & responsibilities include but are not limited to the following:

• Lead the software development and infrastructure system for Autonomous Manufacturing Technologies
• Develop and deploy cloud-native software solutions and implement scalable container platforms using agile methodologies
• Translate business requirements into technical designs
• Coordinate cross-functionally to ensure the project meets business objectives

Job Requirement

• Bachelor Degree in Engineering or relevant disciplines
• 2 years of working experience.
• Understanding of Cloud Native Technologies and DevSecOps CI/CD Pipelines
• Understanding of Kubernetes platform and monitoring tools
• Hands-on experience with deploying and managing microservices using container orchestration platform
• Preferably possess Certified Kubernetes Application Developer Certification
• Can do attitude and happy to interface with multiple stakeholders
• Excellent problem-solving skills, 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.

Job Description

The Advanced Remanufacturing and Technology Centre (ARTC) is a contemporary public-private partnership, spearheaded by A*STAR in collaboration with NTU Singapore, to bridge technology gaps in advanced manufacturing and remanufacturing adoption. Smart Virtual Systems Group of ARTC specialises in developing innovative platforms and infrastructure capabilities that enable immersive and connected services for the manufacturing industry.

SVS is seeking a highly motivated Research Engineer to develop highly available and scalable microservices-based applications and AI platform for autonomous manufacturing applications. He/she is expected to demonstrate a high level of independence and initiative, with the ability to effectively engage internal and external stakeholders to deliver solutions.

The key roles & responsibilities include but are not limited to the following:

• Lead the software development and infrastructure system for Autonomous Manufacturing Technologies
• Develop and deploy cloud-native software solutions and implement scalable container platforms using agile methodologies
• Translate business requirements into technical designs
• Coordinate cross-functionally to ensure the project meets business objectives

Job Requirement

• Bachelor Degree in Engineering or relevant disciplines
• 5 years of working experience.
• Understanding of Cloud Native Technologies and DevSecOps CI/CD Pipelines
• Understanding of Kubernetes platform and monitoring tools
• Hands-on experience with deploying and managing microservices using container orchestration platform
• Preferably possess Certified Kubernetes Application Developer Certification
• Can do attitude and happy to interface with multiple stakeholders
• Excellent problem-solving skills, 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.

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

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

We regret that only shortlisted candidates will be notified.

Job Description

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

Responsibilities:

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

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

Qualifications

The candidate must possess:

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

Job Description:

• Responsible for the algorithm development of an AI accounting assistant, focusing on natural language processing (NLP) and speech recognition, to ensure users can easily input entries via voice or text.
• Develop and optimize AI algorithms to improve data recognition accuracy, and handle classification and storage of accounting data.
• Collaborate with backend engineers to seamlessly integrate the AI module into the system.

Requirements:

• Bachelor's degree or higher in computer science, artificial intelligence, data science, or related fields.
• At least 2 years of experience in AI algorithm development, particularly in NLP and speech recognition.
• Proficient in Python and familiar with common machine learning frameworks (such as TensorFlow, PyTorch).
• Experience in financial data processing or accounting-related projects is preferred.

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

• Excellent Bachelor Degree in Software Engineering/Computer Science/Information Systems from a top-tier or local university. A Master Degree will be preferred
• Research experience in AI or Software Engineering, resulting in at least one submission/publication in a reputable research venue
• 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

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

Assistant Professor, Shengxiao (Alex) Li (Department of Architecture) is looking for a full-time research assistant/engineer to join in January 2025 and work on projects related to migration of older people and sustainable governance. Potential projects include using LinkedIn data to examine employment networks of sustainability-related employees and their impacts on governance outcomes, and migration networks of older Americans and potential drivers. The research assistant/engineer will meet with Alex regularly and report directly to Alex. Tasks of the research assistant/engineer include but not limited to reviewing literature; collecting, cleaning, and analyzing data sets; preparing research reports and funding applications; and fitting models using network analysis or big data analytics. They will also have the opportunity to work with a group of scholars from various disciplines, including but not limited to economics, sociology and engineering, and co-author on academic papers (depending on the contributions of the person hired for this position)

The position is a one-year appointment and might be renewable based on the performance and career plan of the hired person.

To apply for this position, please include:

• A cover letter briefing your interests in this position and how your past experience fit with this position;
• Your current CV detailing your educational background, skills (language and research methods), and relevant working experience;
• A writing sample.

Alex will review the materials from early November and will conduct interviews and make a decision by the middle of November.

Qualifications

Requirements:

• A bachelor’s or master’s degree in civil engineering, data science, computational social science, or other relevant disciplines by January of 2025.
• Good time management and multi-tasking skills;
• Passion/interest in one or more topics above;
• Excellent spoken and written English;
• Highly motived and with independent working ability;
• Statistical knowledge and command at least one of the following programming languages: R/Stata/Python.
• Experience of working on literature review and data analysis.
• Experience of using network analysis methods;
• Experience of using large-scale data sets, like smartphone data, smart card data, or large-scale administrative data;

Preferred skills:

• Excellent communication and experience in interviewing in English;
• Experience in interdisciplinary collaborations and research.

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

Key Responsibilities:

• Conduct research and development in trust technologies – translating algorithms into tools and frameworks and implementing working prototypes that can demonstrate how research outputs can be innovated to build new capabilities.
• Work closely with Centre’s researchers to design and develop research prototypes into the proof-of-concept systems.
• Design and build working tools that can support the technology transfer of new capabilities to research partners and 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, helping to educate and raise the overall competency in emerging areas of trust technologies.
• Engage global partners and researchers to understand latest trends and advance Singapore’s mindshare in this domain.

Job Requirements:

• Master’s degree in computer science/ engineering or related fields required.
• Candidates with minimum of 5 years continuous working experience in a similar role will be considered when appropriate.
• Bachelor degree with minimum 8 years relevant experience may be considered
• Proficiency in programming languages Java, C/C++ is a must.
• Experience in other programming languages and/or frameworks such as Python, Spring will be an advantage.
• Proficiency with using common Linux distributions such as Ubuntu, CentOS is a must.
• Proficiency and experience in developing network and communication protocols and using socket programming in cloud-based systems is a must.
• Proficiency in installing, configuring and using SQL database is a must. Experience in other data processing technologies such as NoSQL, Hadoop will be an advantage.
• Proficiency and experience in working with different virtualization technologies to enhance cloud service system performance is a must.
• Experience in developing ML systems from end to end, including data exploration, feature engineering, model training/evaluation will be advantageous.
• Good communication skills and some interdisciplinary interest is desired, to be able to interact with researchers at the Centre.
• Ability to work independently and to develop solutions under strict timelines is a must.
• Ability to code-switch effortlessly between talking business and talking tech, and can help stakeholders, engineers, and businesses easily understand difficult research tech concepts.
• Good knowledge of system platform development, socket programming, middleware technologies, API development, related application frameworks and service layer models.
• Familiarity with general API security concepts (such as key validation, authentication, authorisation)
• Good understanding of relational database and Unix shell scripting skills.

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

As a University of Applied Learning, SIT works closely with industry in our research pursuits. Our research staff will have the opportunity to be equipped with applied research skill sets that are relevant to industry demands while working on research projects in SIT.

The primary responsibility of this role is to deliver on a research project where you will be part of the research team to develop yeast and fungi for food ingredient and biochemical production. The specific goals are:

1. Metabolic engineering of Yarrowia and Candida yeasts for organic acid production
2. Design and optimization of fermentation method in 10L and 100L stirred tank vessels

Key Responsibilities:

• Fulfill the primary responsibilities within the project:
  i. Deliver structured presentations of research plans and findings every two weeks.
  ii. Provide guidance and mentorship to junior research engineers and undergraduate students working in the same research field.
  iii. Prepare scientific manuscripts for reporting and potential publication (as first or co-author).
• Prepare writeup for new research grant application
• Support undergraduate lab class conduct where applied research outcomes are utilized in undergraduate teaching.
• Conduct thorough risk assessments and ensure adherence to work, safety, and health regulations for all research activities.
• Coordinate procurement activities with licensed vendors for research items.

Job Requirements:

• Have a relevant PhD degree in Biochemistry or Biochemical Engineering
• Have at least 1 year experience with the metabolic engineering of Yarrowia and Candida yeasts, including foreign gene expression and gene deletion.
• Have at least 1 year experience with the use of bioreactor, HPLC-MS and GC-MS.
• Prior experience in the genetic manipulation of filamentous fungi cell line engineering is 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, take ownership of work, and able to cope with failures