Total 579 Communications Engineer job vacancies in Education / Training category in The United States of America

品牌和傳播主管 (BCD) 將負責制定和實施品牌策略，以提高 UNIRAZAK 的品牌知名度和市場份額。這包括管理所有內部和外部溝通、監督行銷材料的創建以及確保所有溝通都符合我們的品牌形象。他/她還將負責監控市場趨勢、監督社群媒體策略以及管理我們的公關工作。這個角色需要一位具有強大領導能力並對品牌發展和傳播策略有深刻理解的策略思想家。

責任

1. 根據管理階層決定和傳達的業務策略，編制、制定和執行UNIRAZAK的品牌計畫；
2. 設定、更新和監控已核准的活動行事曆；
3. 設計和協調媒體活動、廣告以及印刷品、線上和社群媒體上的各種公關知名度；
4、負責媒體內容的設計與製作；
5. 參與外部和內部活動、會議和展會的策劃並按照管理層的指示進行協調；
6. 為UNIRAZAK的活動採購所有公關和品牌相關的物品和材料；
7. 參與並合作進行與 UNIRAZAK 業務發展、公關和企業社會責任相關的所有措施；
8. 進行行銷研究以支援任何所需的項目，並隨時了解最新的趨勢和指南；
9. 維護 UNIRAZAK 主頁和其他社群媒體頁面。

其他職責

履行直接上級或代表敦阿都拉薩大學指定的代表不時指派給您的其他職責。

要求

• 行銷、傳播或相關領域學士學位
  具有類似角色的豐富經驗
• 對品牌發展和傳播策略有深刻的理解
• 優秀的領導能力與團隊管理能力
• 較強的溝通表達能力
• 具有策略性和創造性思考的能力
• 了解市場研究方法和分析
• 社群媒體平台和策略的經驗
• 熟練使用MS Office和設計軟體
• 能夠在壓力下工作並按時完成任務

津貼和福利

• 附近的公共交通
• 中心位置
• 彈性的工作時間
• 休閒著裝要求
• 開放文化

NTU School of Electrical and Electronic Engineering (NTU EEE) http://www.eee.ntu.edu.sg is one of the founding Schools of the Nanyang Technological University. Built on a culture of excellence, the School is renowned for its high academic standards and research. With more than 130 faculty members and an enrolment of more than 4,000, of which close to 1,000 are graduate students, it is one of the largest EEE schools in the world. It ranks 1st in 2023 QS World University Rankings by Subject in Singapore and Asia, 9th in 2023 QS World University Rankings by Subject, 2nd in 2022 Best Global Universities for EEE in US News and World Report, and 8th in 2022 Shanghai Ranking's Global Ranking of Academic Subjects.

A Research Fellow position is available to support Flexible Bandwidth Orthogonal Time Frequency Space (OTFS) Modulation for Wireless Communications project.

Key Responsibilities:

• Study and develop OTFS modulation with flexible numerology.
• Study the performance of OTFS in the presence of interferences.
• Develop and demonstrate of OTFS on USRP hardware.
• Document research outcome to publish at international conference / journal.
• Write the report for the project progress.
• Work with the research assistant for the prototype.

Job Requirements:

• PhD in Electrical and Electronic Engineering, Computer Engineering or related field.
• Expertise in wireless communications.
• Experiences in OTFS is highly preferred.
• Good publication track record is preferred.

Candidates with strong publication records in relevant areas are encouraged to apply. Review of applications will continue until the position is filled.

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

Posted: 14/04/2024 Closing Date: 21/04/2024 Job Type: Permanent - Full Time Location: Melbourne, Victoria. Job Category: Teacher Parade College is a member of the national body of Catholic schools known as Edmund Rice Education Australia (EREA). The College aims to help young men grow into well-rounded individuals who will make a meaningful contribution to society. In a vibrant learning community, students are encouraged to explore and develop their talents to the fullest and aim for excellence in all their endeavours. As a long-standing Catholic school for boys in the Edmund Rice tradition, Parade College strives to be a learning community that offers best practice education and pastoral care to its students to foster fullness of life and holistic growth for all. Parade College is the oldest Edmund Rice School in Australia, dating back to 1871, and has a proud history of excellence in the education and pastoral care of young men. Parade offers a multitude…

Click here to view more detail / apply for Teacher of junior Art and Visual Communications/Materials Design Technology

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.

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.

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

Acknowledgement of Country


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The opportunity


 

Apply your expertise in electrochemical sciences on industry-supported projects
Join a multi-disciplinary team focused on improving electrochemical technology for hydrogen applications
Grow your career with our supportive team at CSIRO Australias National Science Agency!

 
We are currently seeking a



... 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 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

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

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

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

Centre for Natural Gas – Faculty of EAITJoin a university ranked in the world’s top 50Pivotal role in shaping the narrative around the Centre's evolving research initiativesFull-time (100%), fixed term for up to 2 yearsBased at our picturesque and vibrant St Lucia CampusAbout UQAs part of the UQ community, you will have the opportunity to work alongside the brightest minds, who have joined us from all over the world.Everyone here has a role to play. As a member of our professional staff cohort, you will be actively involved in working towards our vision of a better world. By supporting the academic endeavour across teaching, research, and the student life, you will have the opportunity to contribute to activities that have a lasting impact on our community.Join a community where excellence is at the core of our culture, contributions are valued and a range of benefits and rewards are available, such as:26 weeks paid parental leave…

Click here to view more detail / apply for Manager, Research Engagement and Communications, Centre for Natural Gas, Facutly of EAIT

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.