Total 589 Electronic Engineer job vacancies in Education / Training category in The United States of America

The School of Computer Science and Engineering (SCSE) invites applications for the position of Research Fellow.

Key Responsibilities:

• Responsible for performing intelligent scent and multimedia processing
• Submission of a comprehensive reports/IDs/Demos/papers summarizing/justifying the pioneer and innovative research
• To perform the pioneer research in scent digitalization and computation.
• To further develop machine learning tasks for scent signal classification/fusion.
• Set up and analyze experiments under different conditions.
• To propose a methodology/framework in a software prototype to be developed in the project.
• To report research findings in a form of a report and present in international peer-reviewed conferences and journals.
• To be involved in the mentoring of PhD/Masters/FYP students.

Job Requirements:

• PhD degree in Computer Science (And Engineering), Electronic Engineering, Applied Mathematics, Perception Sciences, etc.
• Have good technical reading, writing and programming skills.
• Have good track record for related R&D.
• High desire for technological exploration and achievement.
• Background knowledge in signal representation/processing, esp for scent signals.
• Prior research experience and track record in signal detection, machine learning and deep learning.
• Prior programming experience in state-of-the-art AI techniques.
• Mastering of a programming language would be valued (e.g. Python, Matlab…)
• Self-driven, highly motivated, with interest to work with other researchers and scientists (as a team player) to produce high-quality research.

We regret that only shortlisted candidates will be notified.

The School of Computer Science and Engineering (SCSE) invites applications for the position of Research Associate.

Access to data is crucial for AI-empowered businesses. However, in an age of heightened user privacy awareness, access to data is not easy. The TrustFUL research program aims to bridge this gap by developing new a trustworthy federated learning paradigm characterized by fairness, transparency, accountability, robustness, security and privacy-protection.

Key Responsibilities:

• Conduct research and development work on federated learning, especially focusing on the aspect of quantum federated learning, under the project TrustFUL – Trustworthy Federated Ubiquitous Learning.
• Conduct independent research in the field of federated learning, focusing on quantum federated learning.
• Help supervise students.
• Help with federated learning technical platform design and development.
• Help with collaboration with existing industry partners.

Job Requirements:

• Master’s degree in Computer Science/Engineering, Electrical/Electronic Engineering, Mathematics or other related disciplines from a reputable university.
• Good publication track record is a must.
• Previous research experience in quantum computing preferred.
• Previous research experience in the field of federated learning will be advantageous.

We regret that only shortlisted candidates will be notified.

The School of Computer Science and Engineering (SCSE) invites applications for the position of Research Engineer I in Network Engineering to work on a project related to Smart Nation IoT-system Threat Analytics.

The role entails the responsibility of designing network architecture for IoT systems and honeynets, managing IoT systems and honeynets for threat analytics, and reporting related to IoT systems. The job also requires conducting research, preparing reports and publishing papers.

Key Responsibilities:

• Research and development on IoT threat detection and prioritization.
• Design of network architecture for IoT systems and honeynets.
• Management of IoT networks and honeynet for threat analytics.
• Conducting research, preparing reports and/or publishing papers.

Job Requirements:

• Bachelor’s degree in one of the following areas: computer science, computer engineering, information or communication science/engineering or any other relevant field.
• Familiarity with IP networks, honeynets, and network security.
• Knowledge or interest in cybersecurity, IoT, Linux, or virtualization clusters is a plus.

We regret that only shortlisted candidates will be notified.

Summary:

Skywork AI Singapore welcomes enthusiastic and forward-thinking research engineers to join our dynamic team at the Kunlun-2050 Research Lab Singapore. Being a new entrant in Singapore’s R&D landscape, we are dedicated to pushing the boundaries of Artificial General Intelligence (AGI) through foundational and application research, with a particular focus on Foundation Model 2.0 and Agents. Foundation Model 2.0 encompasses various dimensions, including pioneering new foundation modes and applications, optimizing training and inference acceleration, and conducting theoretical studies to enhance interpretability. Our work on Agents delves into both virtual and physical agents, propelling us into the forefront of AGI development.

We invite individuals who share our passion for AGI advancement and are eager to make their mark in the field to apply and become a vital part of our evolving team. Join us to contribute to cutting-edge research and explore the potential for technology transfer into Skywork AI's core products.

Key Responsibilities:

• Implement intricate algorithms and enhance model scalability
• Provide comprehensive engineering support to the research team
• Develop reusable libraries to support research in 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.
• Actively explore technology transfer opportunities into Skywork AI's core products.

Desirable Experience:

• Hold a Bachelor’s degree or higher in computer science, statistics, engineering, applied mathematics, data science or related fields
• Possess more than three years of related work experience
• Demonstrated proficiency in programming languages
• Hands-on experience with deep learning frameworks and familiar with development tools
• Actively contribute to open-source projects
• Achievement in programming competitions and regional contests
• Attain esteemed recognition within the academic and professional community

Apply:

If you're excited to be part of our cutting-edge research team in the AGI space, please send your latest Curriculum Vitae to michelle@kunlun-inc.com to explore this exciting opportunity.

Skywork AI Singapore is committed to fostering diversity and welcomes candidates from all backgrounds to apply. Join us in shaping the future of AGI at Kunlun-2050 Research Lab. Your contributions can be instrumental in defining our journey as a new start-up in this dynamic field

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.

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... Click here to view more detail / apply for Electrochemist/Electrochemical Research Engineer

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.

An internship position for a student with mechanical background to obtain training in prototype fabrication, overseeing project management and execution, assisting with operation of equipment, development of risk assessments, safe work procedures, method statements and technical documentation, troubleshooting the operations.

Intern’s duties include:

• To perform mechanical engineering activities to design, fabricate, develop and verify product characteristics prior to manufacturing in high volume, in a cost and time effective manner.

• To create technical specifications and collaborate with fabrication team to ensure the parts are meeting specification and function as intended.

• Resolve product quality issues arising from production or operation by working closely with team members.

• Support mechanical testing and create technical report.

Requirements for the intern:

• Pursuing Diploma from a Poly or Bachelor or Master’s degree from University in Mechanical Engineering in Singapore.

• Has hands-on experience with metal works (cutting, grinding, drilling, etc.).

• Proficient with MS Office.

• Strong verbal and written communication skills.

• Good analytical and problem-solving skills.

• Proficient in 3D CAD software.

• Able to follow Workplace Safety and Health regulations. Having safety training certificates is an advantage.

• Fit to wear dust mask/gas respirator.

Workplace location: Tuas

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

About HyperGAI

HyperGAI is an applied AI research company innovating in multimodal generative AI technology and solutions. Our vision is to be the leading AI provider of Multimodal Generative (GenAI) solutions that empower individuals to unlock their creativity and improve workplace productivity. We are a fast-growing Generative AI deep-tech startup, founded by globally renowned AI thought leaders and a group of exceptional AI experts, talented researchers and experienced engineers. The growth and success of HyperGAI are driven by our amazing employees who believe in the same mission and live with our core values of agility, innovation, trust and one-team. Join us! https://www.hypergai.com/

As a key member of our AI team, your primary responsibilities will revolve engineering challenges around building high-quality multimodal models, systems and tools that can advance state-of-the-art generative AI models and capabilities. In this role, you will be expected to:

· Build high-quality multimodal datasets (text, image, video, etc) through a variety of channels, including web data crawling from the internet, manual annotation from human, automatic data generation using deep learning models, etc.

· Create UI, tools and systems for data acquirement, pre-processing, labelling, filtering, viewing, and storage.

· Collaborate closely with our AI researchers, actively participating in deep learning model training and evaluation.

· Collaborate with a group of data annotators, set the requirements for data annotation and closely monitor the annotation quality.

The candidate will possess the following qualifications:

· A minimum of three years of professional experience in AI engineering, software development, data science, or a related field.

· Proficiency in Python, with hands-on experience in PyTorch.

· Proven expertise in building well-balanced and diverse datasets.

· Strong knowledge of developing a web crawler for data extraction from the internet, utilizing Python or other programming languages.

· Able to implement a simple UI for data visualization via Streamlit, Gradio or other available tools

· Experience with using multimodal deep learning models, etc.

· (Bonus) Passionate about building innovative AI models and products.

How to Apply:

Interested candidates please click APPLY NOW, or email an updated copy of your resume/cv. Your resume should INCLUDE:
- Personal Particulars
- Education background
- Work experiences in point forms
- All reasons for leaving
- Current and Expected salary
- Date of availability / Notice Period

We regret that only shortlisted candidates would be notified. Your Profile may be kept in our database for more career opportunities. We wish you all the best in your job search.

Contact us at Email: HR@HyperGAI.com

Duties:

• Start from the design, development, building and qualifying of various lab instruments, the major focus is in Sample Preparation equipment including our featured FastPrep family (homogenizer).
• Develop and fabricate test equipment in line with test specifications under the direction and guidance of direct supervisor.
• Execute tests using test equipment that measures temperature, electricity, light, flow, pressure, strain, force, distance, time, noise, weight etc.
• Collect and analyze test data/results, document results and outcomes.
• Support the design and fabrication/assembly of both working and visual prototype models. Materials include foam, plastics, and various metals.
• Analyze equipment failures and factory work stoppage problems and provide solutions
• Fabricates, repairs, improves designs of and constructs mechanical and electro-mechanical equipment
• Coordinate with outside calibration vendors effectively
• Maintains detailed and up to date test data in laboratory notebook and active test logs
• Support manufacturing ramp up, and design transfer during product development

Requirement:

• Master's Degree and above in Electrical Engineering or Mechanical Engineering
• 5 years of hands-on Mechanical and Electrical experience.
• Possess broad base of knowledge with understanding and skills in the following areas: Electrical, Fabrication, Tool Making, Machining.
• Must be proficient in the use of machine shop equipment and all hand tools including saws, sanders, drills, grinders, press, brake, shear, lathe, milling machine.
• Able to operate test equipment that measures temperature, electricity, light, flow, pressure, strain, force, distance, time, noise and weight.
• Can work from prints, sketches, written and verbal instructions.
• Reads wiring/electrical and piping schematics and engineering drawings.
• Electrical experience/training in use of and design of AC and DC circuits.
• Piping experience and ability to use electrical test equipment and measuring tools necessary.
• Self-motivated, team player with excellent communication and problem solving skills
• Experience and knowledge of the following areas preferred:

1. Rapid Prototyping
2. Testing and Design Controls
3. Installation
4. Design

Summary:

Skywork AI Singapore welcomes enthusiastic and forward-thinking research engineers to join our dynamic team at the Kunlun-2050 Research Lab Singapore. Being a new entrant in Singapore’s R&D landscape, we are dedicated to pushing the boundaries of Artificial General Intelligence (AGI) through foundational and application research, with a particular focus on Foundation Model 2.0 and Agents. Foundation Model 2.0 encompasses various dimensions, including pioneering new foundation modes and applications, optimizing training and inference acceleration, and conducting theoretical studies to enhance interpretability. Our work on Agents delves into both virtual and physical agents, propelling us into the forefront of AGI development.

We invite individuals who share our passion for AGI advancement and are eager to make their mark in the field to apply and become a vital part of our evolving team. Join us to contribute to cutting-edge research and explore the potential for technology transfer into Skywork AI's core products.

Key Responsibilities:

• Implement intricate algorithms and enhance model scalability
• Provide comprehensive engineering support to the research team
• Develop reusable libraries to support research in 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.
• Actively explore technology transfer opportunities into Skywork AI's core products.

Desirable Experience:

• Hold a Master's degree or higher in computer science, statistics, engineering, applied mathematics, data science or related fields
• Possess more than three years of related work experience
• Demonstrated proficiency in programming languages
• Hands-on experience with deep learning frameworks and familiar with development tools
• Actively contribute to open-source projects
• Achievement in programming competitions and regional contests
• Attain esteemed recognition within the academic and professional community

Apply:

If you're excited to be part of our cutting-edge research team in the AGI space, please send your latest Curriculum Vitae to michelle@kunlun-inc.com to explore this exciting opportunity.

Skywork AI Singapore is committed to fostering diversity and welcomes candidates from all backgrounds to apply. Join us in shaping the future of AGI at Kunlun-2050 Research Lab. Your contributions can be instrumental in defining our journey as a new start-up in this dynamic field

We are looking for an energetic and motivated research engineer to join our team. In this role, you will play an important role in advancing cutting edge manufacturing technologies, as well in helping companies innovate and grow. If you are passionate about engineering, process development, advanced manufacturing, materials and processes, testing and quality evaluation, this could be the role for you!

Job description:

• Lead workstreams and provide technical know-how and support, as well as plan and conduct experiments to develop novel manufacturing processes for high performance battery thermal management applications.
• Collaborate with research and industry partners for product and process design and optimization.
• Conduct material, component and module characterization in terms of microstructure, properties and performance.
• Provide timely project updates and report to team members and industry collaborators.
• Coach and guide new engineers for proper career development.
• Support other research and industry projects.

Job requirement:

• Bachelor or Master in Mechanical Engineering / Materials Science and Engineering.
• Basic understanding of metal and ceramic materials, processing and characterization.
• Interest in hands-on lab-based work

Some of the technical skills we are looking for:

• Familiarity with CAD software.
• At least basic undertsnading of thermal phenomena and thermal management.
• Some level of understanding of battery pack structures, manufacturing and system management would be an added bonus.

Some of the soft skills we are looking for:

• Team player with the ability to work effectively and independently within the team.
• Demonstrated ability to think critically and a problem-solving oriented mindset.
• Demonstrated professionalism in the communication and interaction with team and industry players.
• Attention to details.
• Keen interest and ability to learn and adapt to new technologies to remain up-to-date and relevant.

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.