Total 138 operations engineer job vacancies in Education / Training category in d05 clementi new town hong leong garden pasir panjang

Key Responsibilities:

· Oversee and manage IT operations to support corporate and research functions.

· Manage IT infrastructure, including networks switches, firewalls, on-prem and cloud based servers and workstations, storage devices, and High Performance Computing cluster.

· Monitor and maintain cybersecurity posture. Ensure cybersecurity controls are implemented and maintained, identifying risks and recommending appropriate solutions. Conducted cybersecurity awareness training for staff.

· Provide support for all IT infrastructure to ensure smooth IT operations.

· Plan and implement IT projects.

· Manage vendor relationships, negotiating hardware/software contracts, and ensuring timely delivery of IT services and solutions.

· Other duties as assigned by supervisor.

Qualifications & Experience:

· Degree in Computer Science/Information Technology or equivalent.

· Min 8 years in IT infrastructure operations, with at least 2 years in a management or supervisory role.

· CISSP, CISA,CISM, PMP and MCSE certifications will be of added advantage

· Proven experience in managing vendors and stakeholders, ensuring effective IT service delivery.

· Strong communication skills with the ability to present and explain technical solutions clearly to both internal and external stakeholders.

· Excellent problem-solving skills and the ability to think critically under pressure.

· Self-starter with a proven track record to adapt and evolve with change.

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

1. To assist PI in preparing paperwork with grantors such as proposals, progress reports and contracts.
2. To maintain expense records and project finance accounts.
3. To assist PI in project paperwork such as virement, procurement, reimbursement, etc.
4. To assist PI in writing news articles and help proofread project write-ups from team members.
5. Provide other operational support needed by PI

Qualifications

• Possess a bachelor degree in relevant field
• Candidate must be very meticulous
• Excellent skill in using office software and website tools like excel, PPT, Google Drive.
• Experience in operational job with good record
• Open to fixed term contract

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.

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 skilled and motivated research engineer for Data Center Digital Twin Research and Development. He/she will assist the PIs in evaluating and advancing digital twin solutions for enhanced system performance. The role involves benchmarking existing technologies, developing and evaluating conceptual models, conducting virtual experiments to optimize operational efficiency, and research and development of advanced features. The project is in collaboration with a data centre operator.

Qualifications

Qualification:

Degree in Mechanical Engineering, Mechatronics, Computer Science, or a related field

Experience:

Prior experience digital twin solution, simulation, system design, data center thermal control, is helpful.

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.

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.

We are seeking for a research engineer to join our research team to work with PIs and co- PIs in the Department of Civil and Environmental Engineering and the Department of Architecture. This position's primary focus is developing tour-based destination choice models for Singapore’s future land use and transport systems using data-driven approaches.

Key responsibilities include:

• Collecting and analyzing relevant data;
• Designing tour-based destination choice models;
• Integrating developed models into Singapore’s existing tour-based transport framework;
• Working on research projects, supervising research students, and preparing research proposals and reports.

Job Requirements

• Possess a Bachelor and or MEng/MSc degree in a related discipline (transportation engineering, operations research, computer engineering/science, or related disciplines).
• Masters graduates without experience are welcome to apply.
• Candidates should demonstrate a strong expertise in discrete choice modeling, statistical modeling, and machine learning methods.
• Strong interest and expertise in discrete choice modelling, statistical modeling, traffic simulation, machine learning, and optimization techniques.
• Proficiency in transport planning software such as EMME or PTV Visum.
• Programming expertise in at least one language, e.g., Python, Java, or C++.
• Strong written and oral communication skills.
• Open to fixed term contract.

Project Overview

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

Responsibilities

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

Requirements

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

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

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

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

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

We regret that only shortlisted candidates will be notified.

Job Description

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.

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.

A qualified candidate will be self-motivated with strong technical and analytical skills as well as possess practical and hands-on approach to engineering control in the areas of metrology management

Responsibilities:

• Recipe creation and optimisation for new R&D applications requirement.
• Preventive and corrective maintenance planning cum execution and vendor management.
• To take charge of new tools technical assessment and tender creation (equipment cum process application startup) and service contract tender set-up
• Drive continuous improvement projects (CIP) to achieve better measurement repeatability (MSA, GR&R, SPC etc).
• To set-up appropriate process and product control plan and out of control action plans (OCAP)
• Provide technical training to related staff on best-known practices in terms of application metrology recipe creation.

Requirements:

• Bachelor degree in Electrical and Electronics, Material, Physics or Chemical engineering
• Minimum 3~5 years of hands-on semiconductor experience (preferably in metrology application and equipment maintenance)
• Possess computer soft ware skills (i.e. JMP, Minitab, SQL, Visual basic, etc)
• Knowledge in problem solving and quality control skills (i.e. LEAN 6sigma, RCA, DOE, etc)

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 researcher will be part of the team of the MCCS NATURE Project (https://www.nparks.gov.sg/Cuge/Programmes-Schemes/Research%20Programmes/MCCS%20Programme). The primary role involves developing and validating CFD models to study wave attenuation by mangroves, seagrass, and coral. Responsibilities include calibrating simulations with experimental data, analyzing shear coefficients and drag forces, and contributing to interdisciplinary research on coastal protection, with an emphasis on delivering accurate and impactful modeling insights.

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. Computational Fluid Dynamics (CFD) Simulations:
• Develop and implement CFD models to simulate the effects of mangroves, seagrass, and coral on wave attenuation.
• Conduct parametric studies to analyze wave interaction with natural coastal ecosystems under varying conditions.
• Optimize the model to predict shear coefficients, drag forces, and energy dissipation.

2. Experimental Calibration and Validation:
• Collaborate with experimental teams to obtain data from wave flume tests and field studies.
• Calibrate CFD models using experimental data to ensure accurate representation of physical phenomena.
• Validate simulation results to confirm reliability and applicability of the models in real-world scenarios.

3. Analysis and Interpretation:
• Extract and analyze key parameters such as drag forces, flow patterns, and wave energy dissipation.
• Evaluate the influence of structural and biological properties of mangroves, seagrass, and coral on wave attenuation.

4. Research Documentation and Dissemination:
• Prepare technical reports, research papers, and presentations to disseminate findings to academic and industry stakeholders.
• Contribute to project proposals and progress updates for funding agencies.
• Carry out Risk Assessment, and ensure compliance with Work, Safety and Health Regulations.

5. Collaboration and Mentorship:
• Work closely with interdisciplinary teams, including coastal engineers, marine ecologists, and hydrodynamic specialists.
• Mentor junior researchers and students involved in related projects.
• Assists in co-supervision of Final Year Projects (FYP) or capstone projects students together with the project

6. Tool and Methodology Development:
• Innovate and improve methodologies for CFD modeling of complex natural systems.
• Stay updated with advancements in CFD software and techniques to enhance research outcomes.

7. Project Management Support:

• Ensure timely execution of project milestones related to CFD modeling and validation tasks.
• Coordinate with external collaborators and manage data-sharing protocols.
• Work independently, as well as within a team, to ensure proper operation and maintenance of equipment.

Job Requirements

• PhD or Master degree in a related field with a focus on coastal engineering, oceanography, or hydrodynamics.
• Proficiency in CFD modeling software (commercial software and open source)
• Strong analytical and problem-solving skills.
• Research experience in coastal and ocean waves is preferred.
• Excellent communication (verbal and written) and teamwork abilities

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

Job Descriptions:

Using levitation, we aim to isolate and control physical systems with unprecedented precision. The rapidly evolving field of levitodynamics explores how such systems can be used as quantum sensors and for testing fundamental physics. Most current levitated systems are limited to small masses (nano/microgram) and rely on incoherent optical interactions, which scatter rather than reflect light.

By leveraging platforms such as diamagnetic, superconducting, and optical levitation, we aim to create ultra-precise quantum sensors and explore profound questions in physics, including quantum collapse mechanisms and quantum gravity.

The successful candidate will contribute to activities such as:

· Modeling the dynamics of levitated systems.

· Learning to operate advanced cryogenic systems.

· Designing, constructing, and characterizing optical systems.

· Exploring novel techniques to exceed the standard quantum limit using correlated spin systems.

Key Responsibilities:

· Modeling: simulate the dynamics of magnetically and optically levitated systems.

· Fabrication: Develop advanced materials and components for levitation systems.

· System Design: Build and test optical systems and feedback-control mechanisms.

· Research & Innovation: Investigate groundbreaking applications in quantum sensing and fundamental physics.

Job Requirements:

· Bachelor/Master degree in Physics, Applied Physics, Precision Instrumentation, or related fields.

· Strong motivation for multidisciplinary research in quantum technologies and fundamental physics.

· Experience in one or more of the following is highly preferred:

Superconductivity

Quantum sensing

Cryogenic systems

Feedback-control systems

Optical systems design

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

· Perform research in the following areas:

o Global performance analysis, and/or global structural response analysis

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

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

· Any other duties as assigned by supervisor.

JOB REQUIREMENTS

· Min Bachelor?s/Master?s Degree from reputable universities in Civil Engineering, Mechanical Engineering, Marine Engineering, Naval Architecture, Applied Mathematics or other related disciplines.

· Preferably having relevant research/industry experience with competent knowledge in some of the following areas:

o Offshore engineering, marine engineering, hydrodynamics, naval architecture and ocean engineering.

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

o CAD software such as SolidWorks, Rhino, AutoCAD

o Engineering tools such as WAMIT, SESAM and OrcaFlex

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

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

· Good interpersonal and communications skills.

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

· Good command of written and spoken language.

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

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

Job Descriptions:

Using levitation, we aim to isolate and control physical systems with unprecedented precision. The rapidly evolving field of levitodynamics explores how such systems can be used as quantum sensors and for testing fundamental physics. Most current levitated systems are limited to small masses (nano/microgram) and rely on incoherent optical interactions, which scatter rather than reflect light.

By leveraging platforms such as diamagnetic, superconducting, and optical levitation, we aim to create ultra-precise quantum sensors and explore profound questions in physics, including quantum collapse mechanisms and quantum gravity.

The successful candidate will contribute to activities such as:

· Modeling the dynamics of levitated systems.

· Learning to operate advanced cryogenic systems.

· Designing, constructing, and characterizing optical systems.

· Exploring novel techniques to exceed the standard quantum limit using correlated spin systems.

Key Responsibilities:

· Modeling: simulate the dynamics of magnetically and optically levitated systems.

· Fabrication: Develop advanced materials and components for levitation systems.

· System Design: Build and test optical systems and feedback-control mechanisms.

· Research & Innovation: Investigate groundbreaking applications in quantum sensing and fundamental physics.

Job Requirements:

· Bachelor/Master degree in Physics, Applied Physics, Precision Instrumentation, or related fields.

· At least 5 years of relevant experience

· Strong motivation for multidisciplinary research in quantum technologies and fundamental physics.

· Experience in one or more of the following is highly preferred:

Superconductivity

Quantum sensing

Cryogenic systems

Feedback-control systems

Optical systems design

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

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

• 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

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.

A qualified candidate will be self-motivated with strong technical and analytical skills as well as possess practical and hands-on approach to engineering control in the areas of metrology management

Responsibilities:

• Recipe creation and optimisation for new R&D applications requirement.
• Preventive and corrective maintenance planning cum execution and vendor management.
• To take charge of new tools technical assessment and tender creation (equipment cum process application startup) and service contract tender set-up
• Drive continuous improvement projects (CIP) to achieve better measurement repeatability (MSA, GR&R, SPC etc).
• To set-up appropriate process and product control plan and out of control action plans (OCAP)
• Provide technical training to related staff on best-known practices in terms of application metrology recipe creation.

Requirements:

• Bachelor degree in Electrical and Electronics, Material, Physics or Chemical engineering
• Minimum 3~5 years of hands-on semiconductor experience (preferably in metrology application and equipment maintenance)
• Possess computer soft ware skills (i.e. JMP, Minitab, SQL, Visual basic, etc)
• Knowledge in problem solving and quality control skills (i.e. LEAN 6sigma, RCA, DOE, etc)

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.

About the Centre for Quantum Technologies (CQT)

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

Learn more about CQT at www.quantumlah.org

Job Description

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

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

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

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

Job Requirements

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

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

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

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

We regret that only shortlisted candidates will be notified.

Job Description

The 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 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