Total 81 Network Engineer job vacancies in Education / Training category in The United States of America

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 looking for a Research Fellow who will be responsible for designing and implementing intelligent transportation systems technologies and protocols.

Responsibilities:

• Design and develop smart lamp post technologies for intersections and public transport;
• Deployment of technologies in the field;
• Perform analysis and simulations to validate designs;
• Editing and preparation of manuscripts, reports and presentations;
• Participate in presentations and demos for exhibiting work at appropriate events.

Job Requirements

• PhD in Civil Engineering (major in transportation), Electrical Engineering, Computer Engineering, or Computer Science;
• Programming experience and knowledge of machine learning would be a plus;
• Possesses research background with ability to read and understand methodologies in research papers;
• Willingness to work with systems hardware and deployment in the field
• Strong written and spoken communications
• Good team-player
• 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

This project aims at addressing various challenges in Metaverse from network perspective to meet the diverse service requirements. It studies metaverse in the context of 5G network slicing and develop techniques based on AI/ML, optimization and game theory for the problems such as traffic categorization, demand prediction, resource allocation, anomaly detection, and task offloading.

The Research Fellow (RF) will be responsible to develop various techniques as stated above and carry out performance study. The work and findings will lead to top-tier journal and conference publications.

Qualifications

Requirements
• A PhD in Computer Engineering/Electrical Engineering/Computer Science and related disciplines, with knowledge and experience in one or more areas, 5G, Metaverse, edge computing, AI, machine learning, optimization and game theory.
• Strong research record with independent research and development capability.
• Open to Fixed Term Contract

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

Your application will be processes 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 Analog Electronics Engineer to join our team as a Research Engineer. The successful candidate will be responsible for designing, prototyping, and testing analog electronic circuits for our cutting-edge research projects. This role offers an exciting opportunity to contribute to groundbreaking research in flexible electronics.

Key Responsibilities:
• Design and develop analog electronic circuits for research projects.
• Collaborate with interdisciplinary team members to integrate analog electronics into larger systems.
• Conduct testing and validation of analog circuits to ensure performance and reliability.
• Document design processes, results, and findings for academic publication.
• Stay updated on emerging trends and technologies in flexible electronics and related fields.

Qualifications

• Bachelor's or Master's degree in Electrical Engineering, Electronics Engineering, or related field.
• Strong background in analog circuit design, including amplifiers, filters, and signal conditioning circuits.
• Proficiency in circuit simulation and design tools (e.g., SPICE, Cadence).
• Experience with PCB design and layout.
• Knowledge of analog-to-digital and digital-to-analog conversion principles.
• Excellent problem-solving skills and attention to detail.
• Effective communication and collaboration abilities.

Preferred Qualifications:
• Experience with mixed-signal circuit design.
• Familiarity with biomedical signal processing or wearable electronics.
• Prior research experience in an academic or industrial setting.
• Additional expertise in wireless electronics design

Benefits:
• Competitive salary based on qualifications and experience.
• Opportunities for professional development and growth.
• Collaborative and innovative work environment.
• Access to state-of-the-art research facilities and resources.
• Potential for authorship on research publications and presentations.

How to Apply: Please submit your resume, cover letter, and any relevant portfolio or project work. In your cover letter, please highlight your relevant experience.

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 in search of candidate for a research engineer position to assist in Prototype Development.

Successful applicant will be responsible for conducting applied research, developing innovative technologies, and collaborating with interdisciplinary teams to solve technical problems and advance the organization's goals.

Candidate will design experiments, analyze data, and develop prototypes to validate new concepts and technologies.

Candidate will also contribute to scientific publications, patents, and grant proposals to communicate research findings and secure funding for future projects.

Responsibilities will involve:

1. Actively participate and lead optimization for additive manufacturing processes
2. Work closely with Research Fellow to meet project deliverables.
3. Perform cleanroom and wet processes in sample fabrication.
4. Characterize fabricated samples through the use of microscope, scanning electron microscope, etc.
5. Organize and track research activities, performed tasks, characterized in report form (Microsoft Word).
6. Identify, feedback, and address engineering challenges.
7. Assist in equipment purchase, commissioning, and ownership.

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, and electrical testing, and strong in data analysis will have advantage.
• Knowledge of thermal and thermomechanical modelling and analysis.
• 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 Solar Energy Research Institute of Singapore (SERIS) is looking for suitable candidate(s) to fill in Research Engineer position(s).

• The applicant will coordinate and/or attend site inspections related to Solar PV installation works and prepare a periodic report of findings for submission to Client.
• The applicant will assist in the Testing and Commissioning activities for Solar PV installations.
• The applicant will act as SERIS technical representative between Client and their appointed Solar PV Contractor. Attend and participate in meetings when required.
• Define the client specification into either a departmental action or subcontractor order. Produce deliverables on-time to client’s requirements, clarifying these requirements where necessary.
• Help manage and track the teams’ equipment and tools to ensure task carry out are to the required quality and standard. Liaise with suppliers when necessary.
• The applicant will assist in Lender’s Technical Advisory and assist in Owner’s Engineering projects, both of which include client interfacing, documentary and contract reviews, compliance check, site inspections and supervision on behalf of clients, and report writing.
• The applicant will have project management and leadership responsibilities.
• The applicant will assist in other group activities where required by the direct supervisor and group head.

Requirements

• At least a Diploma in Engineering (Civil, Mechanical or Electrical)
• Bachelor’s degree in Engineering is preferred, though proven working experiences in coordinating and/or managing Solar PV installation can offset this.
• At least 3 years’ experience in coordinating and/or supervising Solar PV installation or at least 2 years’ experience in a project management role in the PV, consultancy, or construction industry.
• Knowledge of PV systems O&M will be advantage. Internship in related field highly desired.
• Experience in other forms of electrical engineering works will also be considered.
• Comfortable to work in an outdoor and rooftop environment. Having “Work at Height” certification or equivalent is an advantage.
• Demonstrates initiative on moderate problem solving within assigned tasks.
• A dynamic team-player with a positive effect on the mood in an on-site group setting.
• Resilient, optimistic and open to change. Shows moral courage, openness and honesty in all dealings
• Proficient with Microsoft Office, especially Excel skills and able to analyses data or related a programming language.

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

To apply principles of soft robotics in designing a wearable pneumatic sensing system for detecting myographic and kinematic information during dynamic tasks.

Qualifications

• Possess at least a Bachelor degree (Engineering related)
• Familiar with soft sensor fabrication, pneumatic control setup, wearable development & conduct of human subject trials.
• 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

• Develop and maintain web applications using Python, HTML, and ReactJS.
• Design and implement front-end interfaces using modern JavaScript frameworks.
• Collaborate with the design team to create user-friendly and visually appealing interfaces.
• Write clean, maintainable, and efficient code following best practices.
• Perform code reviews to ensure code quality and adherence to coding standards.
• Troubleshoot and debug issues across the entire stack.
• Optimize applications for maximum speed and scalability.
• Stay updated on emerging technologies and trends in web development.
• Work closely with cross-functional teams to gather requirements and translate them into technical solutions.
• Participate in sprint planning, daily stand-ups, and other agile ceremonies.

Qualifications

• Masters's degree in Computer Science, Engineering, or related field.
• Proven experience as a Full Stack Developer or similar role.
• Proficiency in Python, HTML, CSS, JavaScript, and ReactJS.
• Strong understanding of web development concepts such as RESTful APIs, MVC architecture, and responsive design.
• Experience with version control systems such as Git.
• Familiarity with database systems such as SQL and NoSQL.
• Excellent problem-solving and analytical skills.
• Ability to work independently and in a team environment.
• Strong communication and interpersonal skills.
• Attention to detail and a passion for writing clean, well-organized code.

Preferred Qualifications

• Experience with other front-end frameworks such as Angular or Vue.js.
• Knowledge of server-side technologiesP such as Flask or Django.
• Experience with cloud platforms such as AWS or Azure.
• Understanding of DevOps principles and CI/CD pipelines.
• Familiarity with Agile methodologies such as Scrum or Kanban.

Join us in building innovative and cutting-edge web applications that make a difference. If you're passionate about technology and enjoy working in a collaborative environment, we'd love to hear from you.

Apply now and take the next step in your career as a Full Stack Developer!

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

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

We regret that only shortlisted candidates will be notified.

Job Description

The Electrical and Computer Engineering Department of NUS is seeking a highly skilled and motivated Research Engineer to join our Microelectronics Research Facilities, also known as E6NanoFab hosted at the College of Design and Engineering.

As a Research Engineer, you will play a vital role in advancing our research efforts by developing, optimizing, and implementing cutting-edge processes and technologies. You will work collaboratively with interdisciplinary teams, contribute to innovative research projects, and be at the forefront of microelectronics technology development.

Key Responsibilities:

1. Process Development:
• Design, develop, and optimize microelectronics manufacturing processes, with a focus on semiconductor device fabrication and related technologies by using photolithography, etching, deposition, and other relevant techniques.
• Evaluate and select appropriate materials, tools, and equipment for process development.

2. Process Optimization:
• Continuously improve existing processes to enhance efficiency, yield, and performance.
• Identify and address bottlenecks, defects, and inefficiencies in the production process.

3. Experimental Design and Testing:
• Plan and execute experiments to validate and refine new process methodologies.
• Collect and analyze data to assess process performance and reliability.

4. Equipment Management:
• Oversee the operation, maintenance, and calibration of specialized equipment and tools used in microelectronics processing.
• Ensure equipment availability and compliance with safety and quality standards.

5. Cross-Functional Collaboration:
• Collaborate closely with researchers, engineers, and scientists to define project goals, troubleshoot technical issues, and integrate process solutions into research projects.
• Foster a collaborative environment to facilitate knowledge sharing and innovation.

6. Documentation and Reporting:
• Maintain comprehensive records of experiments, processes, and results.
• Prepare detailed technical reports and presentations for internal and external stakeholders.

7. Quality Assurance and Compliance:
• Ensure processes adhere to quality standards, industry regulations, and safety protocols.
• Implement and document process controls to maintain consistent product quality.

8. Training and Mentorship:
• Provide guidance and training to junior engineers, researchers, and technicians to develop their skills in microelectronics process engineering.

9. Innovation and Research Support:
• Stay updated on the latest advancements in microelectronics and semiconductor manufacturing.
• Contribute to the development of research proposals, leveraging your process expertise.

Qualifications

• Bachelor or Master in Materials Science, Electrical Engineering, or a related field with a strong emphasis on microelectronics and semiconductor processing.

• Demonstrated experience in developing and optimizing microelectronics manufacturing processes, including photolithography, etching, deposition, and other relevant techniques.

• Working experience in foundries, microelectronics research centers and pilot line will be an advantage.

• Familiarity with cleanroom protocols, safety standards, and equipment operation.

• Strong problem-solving skills and the ability to work in a fast-paced research environment.

• Excellent communication and teamwork skills to collaborate effectively across disciplines.

• Knowledge of statistical analysis and data interpretation techniques.

• Commitment to maintaining the highest standards of quality, safety, and compliance in all processes.

If you are a process engineering professional looking to make a significant impact on microelectronics research and development, we invite you to join our team as a Research Engineer. Your expertise and innovative mindset will contribute to the success of groundbreaking research projects in the field of microelectronics.

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

One Research Engineer position is open in the research group of Assistant Professor Zhao Lin, at the Department of Electrical and Computer Engineering, National University of Singapore (NUS).

The Research Engineer (will) will work closely with the Principal Investigator (PI) on reinforcement learning control and learning-based control, which leverage the advantages of both deep learning and conventional controls with theoretical guarantees. The RE will develop AI-assisted planning and control algorithms that enable intelligent and robust autonomous operations and multi-agent collaborations. Hardware experiments will be carried out to test and demonstrate the applications of the developed algorithms.

The initial appointment duration is 12 months, which can then be extended based on an evaluation at the end of the initial appointment.

The research project involves (1) theoretical research in control, learning, and optimization, (2) developing new control and learning algorithms, and (3) 3D Simulations and real hardware experiments.

The candidates should have a Bachelor’s or Master’s degree from a reputable university, with expertise in control theory, reinforcement learning theory, and aerial robotics.

A successful candidate should have a solid mathematical background (such as in calculus, linear algebra, ODE/PDE, optimization, real analysis, probability theory, stochastic process, etc). Strong publication records in leading journals and conferences, and practical hands-on experience in applying reinforcement learning to real robotics applications (e.g., autonomous driving and unmanned aerial vehicles) will be a big plus.

Qualifications

• Possess a bachelor’s or master’s degree in either Electrical Engineering or strictly related (e.g., Mathematics, Computer, Communication, Mechanical, or Information Engineering).
• Have research experiences in control, reinforcement learning, distributed optimization, multi-agent, autonomous driving, and/or UAVs.
• Possess a strong academic record proved through coursework (especially math-intensive courses) and projects during his/her undergraduate and master’s studies.
• Proficient in C++ or Python. Familiar with machine-learning tools and packages. Familiar with various 3D simulation environments for quadrotor simulations. Familiar with ROS and quadrotor control algorithm.
• Have well-established analytical and problem-solving skills, as documented by publications that are relevant to the field of control theory and robotics applications, reinforcement learning control for robotics applications.
• Excellent communication skills as he/she is required to publish and present results at conferences and journals independently.
• Activity performed in world-class research environments is highly valued.

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 (PI) to design and build desirable microstructure to enhance mechanical properties of steels by additive manufacturing.

The job scope of this position is:

• Conducting literature reviews and understanding state of the art
• Planning and implementing experiments
• Developing simulation models to guide microstructural engineering
• Analysing the experimental and simulation data
• Writing progress reports and research papers

Qualifications

• Bachelors in Materials Science or Mechanical Engineering
• Knowledge of metallurgy and microstructural engineering is highly required
• Expertise in microstructural characterisation techniques (e.g. TEM, EBSD and FIB) and mechanical testing
• Expertise in numerical simulations (e.g. phase field, FEM)
• Experience with metal additive manufacturing (e.g. powder bed fusion, directed energy deposition) will be advantageous
• Good publication record will be advantageous
• Self-motivated, good team player

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 Us

NUS, Singapore’s flagship university, and SIA, Singapore’s flagship carrier, jointly established a 5-year SIA-NUS Digital Aviation Corporate Laboratory (Corp Lab) to create and commercialise innovative technologies that could accelerate the digital transformation of Singapore’s aviation sector and redefine the air travel experience. It leverages on NUS’s world class deep technology and multi-disciplinary research expertise across Artificial Intelligence (AI), Machine Learning, Data Science, Operations Research and Analytics, Optimisation, Automation, Sleep Studies and Design.

To emerge ahead in today’s digital transformation era, SIA and NUS will jointly target Revenue Management & Dynamic Pricing (for smart data-driven optimization), Transforming Competency and Skill Development (for intelligent and personalised pilot and cabin crew training), Employee Wellness (for data-driven and scientifically-backed improvements to workforce safety, performance and productivity), and Passenger Comfort, Sleep and Cabin Service (for next-generation product offerings and unparalleled customer service within the cabin).

Job Description

The Corporate Lab aims to develop for Singapore Airlines a new approach to design optimal price tiers for air tickets and manage seat inventory, to help maximize revenues for airlines, leveraging on modern analytical tools and technologies that can perform deep data analytics in airline revenue management system. The current solution provided by its new commercial vendor is adequate but could not address specific issues faced by SIA, including the price elasticity estimation, dynamic pricing and competition considerations etc. These are all unique to SIA and customized solution methodology needs to be developed for these purposes. Expertise, infrastructure and relevant background work done at NUS’s Institute of Operations Research and Analytics (IORA), School of Business, School of Computing and Department of Industrial Systems Engineering & Management would be tapped on to add value to the proposed projects.

The Research Engineer will be responsible for

1. Designing experiments to measure the causal effects of the different pricing algorithms
2. Validating key business questions via hypothesis testing
3. Leveraging state-of-the-art causal inference methodology to estimate pricing effects with observational and experimental data
4. Developing new algorithms in the causal estimation
5. Helping integrate the A/B test method into the simulator
6. Manage and Lead the team in the projects

About You

The University values courage and creativity, openness and engagement, inclusion and diversity, and respect and integrity. As such, we see the importance of recruiting talent aligned to these values and are looking for a Research Fellow who has:

• A completed Bachelor’s Degree in operations research, econometrics, statistics, or related field
• Evidence of managing research projects
• Evidence of ability to conduct high-quality research
• Background relayed to Causal inference, Experiment design, Causal Structural modeling
• An emerging track record of academic publications
• An ability to work in a collaborative team environment
• Excellent communication skills

Others:
• Possess good interpersonal skills
• High comfort level in working within a self-directed culture and navigating ambiguity.
• Openness to critique from other disciplines and curiosity to learn from a spectrum of perspectives.
• An empathy and curiosity for how great brands, businesses and organizations navigate innovation and design.
• Experience with unique and novel tools and methods to uncover key insights
• willingness to work in a collaborative team environment

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 position involves working on a project related to legged robot and their application for port operations. The objective of this position includes contributing to the model development, solution and implementation of bio-inspired locomotion, climbing, and manipulation controllers on a hexapedal platform. The role involves the opportunity to work with the research team within National University of Singapore in which the team leaders are from the Department of Mechanical Engineering, alongside Specialists from a high technology company.

The successful candidate will be self-motivated with an outstanding track record in robotics, control, computer science, or related disciplines. The main research tasks for the project include but will not be limited to:

• Developing robust controllers for legged locomotion, pick-and-place motions, and mobile manipulation.

• Designing and implementing controllers on hardware to obtain a laboratory-level prototype system

Qualifications

• Good Coding skills in python

• Experience with implementation of legged locomotion/manipulation controllers on hardware

• Literature review/summarizing skills

• Simulations abilities (ROS/Gazebo, PyBullet)

• Good writing/spoken communication skills

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 Heat Resilience & Performance Centre (HRPC) is a first-of-its-kind research centre, established at the National University of Singapore (NUS), to spearhead and conduct research and development to address the challenges arising from climate change & extreme heat.

We are seeking a Software Research Engineer who will play a key role in assisting in the development, execution and maintenance of the centre’s data lake. The data lake will not only serve as HRPC’s central archive of research data and findings but play an important role in the centres knowledge generation and hypothesis testing journey. The successful candidate will be part of a multi-disciplinary group comprising exercise and thermal physiologists, data scientists, biomedical engineers and researchers.

Main Duties and Responsibilities

The main areas of responsibilities of the role will include:

• Building and maintaining HRPC’s data lake, while implementing functionalities agreed on with HRPC’s Data Manager and researchers;
• Develop and implement best practices and processes for HRPC’s data infrastructure;
• If applicable, collaborate with and learn from other teams brought in to work on the data lake with a view towards building in-house expertise;
• Provide guidance and training to researchers on how to use the data lake.

As HRPC expands the successful candidate will take on more responsibilities and progress towards potentially leading a team responsible for our data engineering needs.

Qualifications

Qualifications and requirements of the role are as follows:

• Bachelor’s degree in Software Engineering, Information Systems, or related disciplines;
• Familiarity with web and database development with modern tech stacks and technologies;
• Team player with excellent communication and interpersonal skills;
• Ability to build a collaborative working relationship with people at all levels.

The role is based in Singapore.

Remuneration will be commensurate with the candidate’s qualifications and experience.

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

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

We regret that only shortlisted candidates will be notified.

Job Description

As a Research Engineer, you will contribute to the research, design and development of haptics enabled wearables. You will work with the team to develop haptics enabled wearables that fulfil clients’ requirements and work towards commercialization of the technology.

Key Responsibilities:
• Perform research, design, development and testing of sensors and haptics.
• Contribute to the smart fabric engineering and its integration.
• Passionate about product design, design for manufacturability, product improvement.
• Conduct system testing, debugging, and issue tracking, including root cause failure analysis.
• Produce design documentation and execute test procedures.
• Develop and execute verification/validation testing strategy.
• Works independently with work checked on a regular basis.
• Demonstrate technical competency and independent solution thinking.
• Perform other duties as assigned by management.

Qualifications

• Possess a Bachelors in Industrial Design / Mechatronics / Textile Engineering.
• Experienced in the use of general engineering lab equipment.
• Knowledge of design for manufacturing, PCBA assembly processes and issues will be advantageous.
• Good written and verbal communications.
• 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 holder is to work with PI and the research team to conduct Research Characterizing Airborne Pollutants in Urban Environment.

The research activities involve (but not limited to):

• Operating a wide variety of instruments, data retrieval
• Laboratory chemical analyses and speciation
• Modeling chemical reactions of airborne pollutants
• Assisting and contributing to project deliverables, including,
• Planning and conduct experiments, data analyses, progress reporting, report writing, etc.

Qualifications

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

• Fast learner capable of conducting independent research and proficient literature search, review & summary with strong background in chemical engineering / chemistry / physics
• Sufficient experiences in applying Pythons functions of matplotlib, and numPy, pandas, statsmodels, etc
• Modeling chemical reactions of airborne pollutants through implicit modules
• Experiences of applying machine learning to handle big data
• Experiences of laboratory chemical analyses using chromatography, such as GC-MS-MS, LC-MS-MS, etc
• Experiences of operating instruments measuring physical properties of aerosols
• Experiences in conducting field studies of aerosol and VOC sampling using various instruments
• Proactive in assisting and contributing to quality scientific research publications
• Proficient in technical presentation, slide making, report writing, etc
• Proven rounded and effective team player with strong initiative and ownership of the research project