Deskripsi Pekerjaan
Are you passionate about pioneering the future of technology? Nanyang Technological University (NTU) invites you to join our AI & Networking Research Team, a dynamic group dedicated to developing sustainable digital solutions. We are seeking a highly motivated Research Engineer to contribute to groundbreaking projects that bridge the gap between electrical engineering, computer science, and artificial intelligence.
In this role, you will be at the forefront of innovation, working on complex challenges related to network optimization, sustainable computing, and advanced AI algorithms. You will have the unique opportunity to collaborate with world-class researchers and engineers to design, implement, and evaluate cutting-edge systems. This position offers a stimulating environment where your work will directly impact the development of next-generation technologies and contribute to the global push for a more sustainable digital future.
Join us at one of Asia's top universities, where you will have access to state-of-the-art facilities and the chance to publish your research on a global stage.
Tanggung Jawab
- Design and conduct experiments to validate novel AI and networking algorithms in real-world scenarios.
- Develop and implement software prototypes and scalable solutions for sustainable computing architectures.
- Analyze large datasets to derive insights, optimize system performance, and improve energy efficiency.
- Collaborate with cross-functional teams of electrical and computer engineers to integrate hardware and software components seamlessly.
- Prepare detailed technical documentation, research papers, and presentations for internal and external stakeholders.
- Contribute to the planning and execution of research projects, including grant writing and project management.
- Mentor junior researchers and graduate students in technical problem-solving and research methodologies.
Kualifikasi
- A Master’s or PhD degree in Electrical Engineering, Computer Engineering, Computer Science, or a related technical field.
- Strong proficiency in programming languages such as Python, C++, or Java, with experience in research-oriented coding.
- Proven experience in machine learning, deep learning, or wireless communication systems.
- Familiarity with standard research tools, libraries (e.g., TensorFlow, PyTorch), and simulation environments.
- Excellent problem-solving skills, critical thinking abilities, and a strong desire to innovate.
- Excellent communication skills, both written and verbal, with the ability to present complex technical concepts clearly.