Total 127 field engineer job vacancies in Education / Training category in d05 clementi new town hong leong garden pasir panjang

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.

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

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

Key Responsibilities

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

Job Requirements

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

Key Competencies

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

JOB DESCRIPTION

We are looking for a highly-motivated research engineer to work on exciting projects in Cybersecurity (AI for Cybersecurity). Need Strong programming skills and familiarity with Cybersecurity and Artificial Intelligence.

Successful candidates will have the opportunity to work with a world-class interdisciplinary team comprising malware, networking, cybersecurity, machine learning, and deep learning experts. Research engineers will also work closely with industry partners and interact with them to understand their real-world needs. The successful candidate will also engage in project scoping with industry companies to develop a solution to address cybersecurity enterprise application needs.

We are looking for candidates with the following key soft attributes:

• Ability to learn
• Willingness to learn
• Strong interest in AI for Cybersecurity

JOB REQUIREMENT

· Bachelor or Master degree in Computer Science, Computer Engineering, Information Technology or related fields

· Knowledge or experience in cyber security, network security, system security using Artificial Intelligence.

· 2-3 Years of working experience in related research areas is a plus.

· Proficient in C/C++, Java, or Python.

· Experience in research- or application-oriented environments is a plus.

· Ability to work independently, as well as in teams, highly desired.

· Good team player with both research and engineering ethics.

· Good interpersonal skills and communication skills for proposals, reports, and publications.

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.

Project Overview

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

Responsibilities

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

Requirements

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

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

Interested applicants are invited to send in their full CV/resume, cover letter and list of three references (to include reference names and contact information). We regret that only shortlisted candidates will be notified

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

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

We regret that only shortlisted candidates will be notified.

Job Description

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

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

Responsibilities

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

Qualifications

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

Application

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

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

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

We regret that only shortlisted candidates will be notified.

Job Description

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

Job Requirements

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

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

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

We regret that only shortlisted candidates will be notified.

Job Description

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

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

Qualifications

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

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

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

We regret that only shortlisted candidates will be notified.

Job Description

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

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

Qualifications

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

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

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

We regret that only shortlisted candidates will be notified.

Job Description

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

Responsibilities:

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

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

Qualifications

The candidate must possess:

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

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

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

We regret that only shortlisted candidates will be notified.

Job Description

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

Job Requirements

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

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

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

We regret that only shortlisted candidates will be notified.

About the Centre for Quantum Technologies (CQT)

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

Learn more about CQT at www.quantumlah.org

Job Description

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

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

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

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

Job Requirements

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

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

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 mobile app for visualising geospatial data.

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. Implement code for improved cartographic algorithms and thematic map designs.
  2. Design human-subject experiments that test how the implemented map designs are used on electronic devices.
  3. Obtain approval for conducting experiments from the Institutional Review Board.
  4. Perform statistical analysis and report the results in the format of journal articles and conference contributions.
• Carry out Risk Assessment, and ensure compliance with Work, Safety and Health Regulations.
• Coordinate procurement and liaison with vendors/suppliers.
• Work independently, as well as within a team, to ensure proper operation and maintenance of equipment.

Job Requirements

• Have relevant competence in the areas of mobile app development.
• Have programming experience in Python and JavaScript.
• Have a Ph.D. degree in computer science, statistics, geography or a closely related field from a regionally or internationally accredited institutions.
• Knowledge of experimental design and computational geometry will be advantageous.
• Knowledge of C++ and R is desirable.

We are looking for a talented and ambitious candidate to join our team in developing next-generation quantum sensors. The position will focus on modeling the dynamics and fabricating cryogenic components for the superconducting levitation of ferromagnetic particles.

This levitated, freely precessing particle forms a system of correlated spins, capable of rapidly averaging out quantum uncertainty. By harnessing this system, we aim to develop quantum sensors with sensitivities that exceed the standard quantum limit.

This position is based in the Quantum Innovation Centre (Q.Inc) and Institute of Materials Research and Engineering (IMRE). The successful candidate will contribute to a range of innovative activities, including:

Key Responsibilities:

• Modeling the dynamics of the levitated particle
• Microfabrication of the particle, silicon pocket, and superconducting materials
• Learning to operate a dilution refrigerator

Job Requirements:

• Bachelor's or master’s in physics, Applied Physics, Precise Instrumentation, or related fields
• Past experience in the job activities listed above is preferred, but a strong willingness to learn is sufficient. Trainings will be provided.
• Strong motivation for multidisciplinary research
• Prior experience in superconductivity and/or quantum sensing is highly preferred
• Basic programming skills (e.g., Python, MATLAB)
• Mechanical design
• Ability to work as a team and communicate effectively

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.

Research Engineer

As part of National Semiconductor Translation and Innovation Center (NSTIC), the candidate will be involved in the development of heterogeneous integration process for realizing multi-functional photonic devices. The candidate will work closely with multidisciplinary team with diverse expertise.

Responsibilities

• Develop, design, and optimize die-to-wafer bonding process employing III-V semiconductor material, Lithium Niobate on Insulator (LNOI), and Si-based material platforms.
• Design of experiments (DOE) for various Die-to-Wafer (D2W) bonding methodologies.
• Liaise between design, fabrication, and testing teams to ensure smooth process integration and device fabrication.
• Metrology, data analysis, and documentation
• Present and discuss experimental data to the team

Qualifications

• Degree in Electronics Engineering, Microelectronics, Physics, or equivalent.
• Experience in semiconductor industry is preferred. Those with strong familiarity with wafer-to-wafer and die-to-wafer bonding process may be considered for a senior position.
• Good critical thinking and problem-solving ability.
• Able to work with cross-functional team, with good communication/presentation skill.
• Able to work in a fast-paced and collaborative environment

Research Engineer

As part of National Semiconductor Translation and Innovation Center (NSTIC), the candidate will be involved in the photonic device fabrication based on Silicon-based material platforms (Silicon-on-Insulator, Silicon Nitride, Germanium (Ge), and SiGe), Lithium Niobate, and III-V semiconductor materials. The candidate will work closely with multidisciplinary team with diverse expertise.

Responsibilities

• Develop, design, and optimize integration flow for Silicon Nitride-based and Lithium Niobate-based photonic devices, including lithography, etching, deep-trench, and dicing.
• Design of experiments (DOE) for different process integration flows.
• Liaise between design, fabrication, and testing teams to ensure smooth process integration and device fabrication.
• Metrology, data analysis, and documentation
• Present and discuss experimental data to the team

Qualifications

• Degree in Electronics Engineering, Microelectronics, Physics, or equivalent.
• Experiences in semiconductor industry, preferably in silicon photonic processes.
• Good critical thinking and problem-solving ability.
• Able to work with cross-functional team, with good communication/presentation skill.
• Able to work in a fast-paced and collaborative environment

Research Engineer

As part of National Semiconductor Translation and Innovation Center (NSTIC), the candidate will be involved in the photonic device fabrication based on Silicon-based material platforms (Silicon-on-Insulator, Silicon Nitride, Germanium (Ge), and SiGe), Lithium Niobate, and III-V semiconductor materials. The candidate will work closely with multidisciplinary team with diverse expertise.

Responsibilities

• Develop, design, and optimize integration flow for Silicon Nitride-based and Lithium Niobate-based photonic devices, including lithography, etching, deep-trench, and dicing.
• Design of experiments (DOE) for different process integration flows.
• Liaise between design, fabrication, and testing teams to ensure smooth process integration and device fabrication.
• Metrology, data analysis, and documentation
• Present and discuss experimental data to the team

Qualifications

• Degree in Electronics Engineering, Microelectronics, Physics, or equivalent.
• Experiences in semiconductor industry, preferably in silicon photonic processes.
• Good critical thinking and problem-solving ability.
• Able to work with cross-functional team, with good communication/presentation skill.
• Able to work in a fast-paced and collaborative environment

Research Engineer

As part of National Semiconductor Translation and Innovation Center (NSTIC), the candidate will be involved in the development of heterogeneous integration process for realizing multi-functional photonic devices. The candidate will work closely with multidisciplinary team with diverse expertise.

Responsibilities

• Develop, design, and optimize die-to-wafer bonding process employing III-V semiconductor material, Lithium Niobate on Insulator (LNOI), and Si-based material platforms.
• Design of experiments (DOE) for various Die-to-Wafer (D2W) bonding methodologies.
• Liaise between design, fabrication, and testing teams to ensure smooth process integration and device fabrication.
• Metrology, data analysis, and documentation
• Present and discuss experimental data to the team

Qualifications

• Degree in Electronics Engineering, Microelectronics, Physics, or equivalent.
• Experience in semiconductor industry is preferred. Those with strong familiarity with wafer-to-wafer and die-to-wafer bonding process may be considered for a senior position.
• Good critical thinking and problem-solving ability.
• Able to work with cross-functional team, with good communication/presentation skill.
• Able to work in a fast-paced and collaborative environment

Summary:

Being a new entrant in Singapore's R&D landscape, Skywork AI Singapore is dedicated to pushing the boundaries of Artificial General Intelligence (AGI) through foundational research, with a particular focus on Foundation Model 2.0 and Agents. Foundation Model 2.0 encompasses various dimensions, including pioneering new foundation models and applications, optimizing training and inference acceleration, and conducting theoretical studies to enhance interpretability. The work on Agents delives into both virtual and physical agents, propelling us into the forefront of AGI development.

Skywork AI Singapore is partnering with universities in Singapore, to invite motivated candidates to enroll in a PhD program and work at Skywork AI Singapore. Successful candidates will become full-time employees of Skywork AI and should qualify to be admitted into the PhD Programme at one of the universities in Singapore.

Candidate's Expectation:

• Work with our research scientists to conduct groundbreaking research in the AGI field, focusing on Foundation Model 2.0 and Agents
• Collaborate closely with our interdisciplinary team to publish influential research findings in top-tiered conferences and journals, making a significant impact on the AGI community
• Embrace the entrepreneurial spirit and actively explore technology transfer opportunities into business products

Desirable Experience:

• Demontrate a strong interest in a career in computer science
• Keen to study and perform research in areas such as Artificial Intelligence, Computer Vision, Deep Learning, Game AI, Natural Language Processing, Reinforcement Learning, and Speech Recognition. (Preferably but not limited to)
• Proficiency in differentiable programming frameworks such as PyTorch, TensorFlow, and JAX
• Possessed Bachelor's or Master's Degree in Computer Science/Engineering, Statistics, Mathematics, Data science, or related fields is highly desirable
• Not a recipient of, or hold any other scholarship or other award of a monetary nature (Excluding bursary and financial aid);
• Must meet the postgraduate admission and academic requirements
• For existing PhD candidates, must be 2 years or less into the postgraduate program

IPP trainees will be able to enjoy the following benefits:

• A Monthly salary of SGD6,000, in addition to CPF (for citizens and PRs), Medical Insurance, and many employment perks
• Sponsorship of tuition fee for 4 years
• Conference and travel allowances
• Computing equipment and GPU resources

Apply:

Interested candidates may send the latest Curriculum Vitae, transcripts, motivation letter and publication list to [email protected] to explore this exciting opportunity. Kindly indicate in your motivation letter, the University and intake that you have applied to e.g. NUS August 2025 intake.

We are committed to fostering diversity and welcome candidates from all backgrounds to apply. Join us in shaping the future of AGI at Kunlun-2050 Research Lab.

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 Research Engineer will work closely with the Principal Investigator on several research projects on using machine learning in chemical and optimization problems
• The Research Engineer will help to develop machine learning models for both theory and applications in advanced control systems

Job Requirements

• B.S. or M.S degree in a relevant area, e.g., Chemical Engineering, Control Engineering, Computer Science, Chemistry, etc.
• Experienced in machine learning, optimization and programming languages (e.g., python, Matlab, C++, etc)
• Any experience with 1) advanced control, 2) machine learning theory and applications, and 3) chemical engineering and chemistry is a plus

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 Research Engineer will work closely with the Principal Investigator on several research projects on using machine learning in chemical and optimization problems
• The Research Engineer will help to develop machine learning models for both theory and applications in advanced control systems

Job Requirements

• B.S. or M.S degree in a relevant area, e.g., Chemical Engineering, Control Engineering, Computer Science, Chemistry, etc.
• Experienced in machine learning, optimization and programming languages (e.g., python, Matlab, C++, etc)
• Any experience with 1) advanced control, 2) machine learning theory and applications, and 3) chemical engineering and chemistry is a plus

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 Research Engineer will work closely with the Principal Investigator on several research projects on using machine learning in chemical and optimization problems
• The Research Engineer will help to develop machine learning models for both theory and applications in advanced control systems

Job Requirements

• B.S. or M.S degree in a relevant area, e.g., Chemical Engineering, Control Engineering, Computer Science, Chemistry, etc.
• Experienced in machine learning, optimization and programming languages (e.g., python, Matlab, C++, etc)
• Any experience with 1) advanced control, 2) machine learning theory and applications, and 3) chemical engineering and chemistry is a plus

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

In 2021 the Singapore Hybrid-Integrated Next-Generation micro-Electronics (SHINE) Center was established.

One of the projects in SHINE focuses on developing the technology and demonstrating Radio Frequency (RF) and microwave applications on flexible substrates.

As part of this project, we have a position for a research engineer with proven knowledge and experience in researching, designing, and testing of microwave circuits and subsystems.

Qualifications

• Possess a Bachelor or Master degree in Electrical Engineering
• Experience in the simulation and design of microwave circuits and subsystems.
• Experience with tools such as ADS and HFSS.
• Experience with measurement of microwave circuits using VNAs.
• Able to work independently and in a team.
• 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

The Electrical and Computer Engineering (ECE) Department of National University of Singapore (NUS) is looking for applicants for research engineer positions to support 3D-IC package fault localisation and failure analysis (FA) techniques with ANSYS High Frequency Structure Simulator (HFSS). The applicant will work closely with our researchers to understand and derive insights from scientific experiments and data. The applicant will also assist in the design and development of a physical test vehicle for the measurement of simulated results.

Responsibilities will include:

1. Contribute to defect classification and localization through simulation defect modelling.
2. Involve in 3D-IC forward predictive modelling (i.e. include chip and circuit blocks) by generating training materials.
3. Design of mock IC test vehicles for high frequency electromagnetic and DC magnetic field measurement and testing.

Qualifications

• A bachelor’s or higher Degree in Electrical, Electronics, Mechanical, Chemical Engineering, Physics, Material Science or its equivalent from a reputable University/Institute is preferred, or equivalent related experience.
• Candidate with experience in microelectronic research, characterisation, metrology, electrical testing, FA and strong in data analysis will have advantage. Knowledge of AI/ML/DL development and ANSYS/TCAD modelling.
• Strong analytical and problem-solving skills.
• Motivated and possesses effective communication skills including writing and presenting.
• Ability to work independently and collaborate within a diverse team.
• 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

The job holders are to work with PI and the research team to process air quality data and study small-scale dispersion of airborne pollutants in urban environment.

Qualifications

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

• Proven as a fast learner of conducting literature search and literature summary
• Experiences of VOC speciation via chromatography and/or online real-time detection instrument (e.g., PTR-MS)
• Proficient of handling data via 2 methods among Excel, R, Matlab, Python, etc.
• Proactive in assisting and contributing to quality scientific research publications
• Keen on field studies with prior experiences
• Proficient in technical presentation, slide making, report writing, etc.
• Proven rounded and effective team player with strong initiative and ownership of the research project