Deskripsi Pekerjaan
Join our cutting-edge sustainability research laboratory at Nanyang Technological University and contribute to innovative AI solutions that address global sustainability challenges. As a Research Engineer I, you will have the opportunity to collaborate with world-class experts in computer science and electrical engineering to develop groundbreaking technologies that make a real impact. Our research spans across various domains including smart systems, environmental monitoring, and sustainable energy solutions. We offer a dynamic and intellectually stimulating environment where your ideas can flourish and contribute to meaningful advancements in both academia and industry.
At NTU, we believe in fostering interdisciplinary collaboration and providing our researchers with the resources and support needed to excel. You will have access to state-of-the-art facilities and be part of a vibrant research community that values innovation, creativity, and excellence. Whether you're interested in machine learning, computer vision, robotics, or embedded systems, our laboratory offers a platform to explore your interests and contribute to cutting-edge research that addresses pressing environmental challenges.
Tanggung Jawab
- Conduct innovative research in AI and machine learning applications for sustainability
- Design, develop, and implement algorithms and systems for environmental monitoring and smart solutions
- Collaborate with cross-functional teams to integrate research findings into practical applications
- Document research findings and contribute to academic publications and patents
- Participate in grant writing and project management activities
- Maintain and optimize existing research systems and infrastructure
- Stay updated with the latest advancements in AI, machine learning, and sustainability technologies
Kualifikasi
- Bachelor's or Master's degree in Computer Science, Electrical Engineering, or related field
- Strong programming skills in Python, C++, or relevant languages
- Experience with machine learning frameworks such as TensorFlow, PyTorch, or scikit-learn
- Knowledge of embedded systems, IoT, or robotics is advantageous
- Strong analytical and problem-solving abilities
- Excellent written and verbal communication skills
- Ability to work independently and collaboratively in a team environment