Deskripsi Pekerjaan
Join Nanyang Technological University's pioneering research team at the intersection of artificial intelligence and computer vision. This is a unique opportunity to contribute to cutting-edge projects that leverage deep learning to solve complex real-world challenges. As a Research Assistant, you'll work in an innovative environment where your ideas can transform industries through advanced visual recognition systems, autonomous technologies, and AI-driven solutions.
Our collaborative research ecosystem encourages interdisciplinary exploration and intellectual growth. You'll gain hands-on experience with state-of-the-art machine learning frameworks while contributing to publications that advance the field. The position offers mentorship from world-renowned researchers and access to NTU's advanced computational resources, providing a solid foundation for your academic or industry career.
We're seeking individuals passionate about pushing the boundaries of visual intelligence. Whether developing novel algorithms for medical imaging, optimizing object detection systems, or exploring generative AI applications, your contributions will directly impact NTU's reputation as a global leader in technological innovation.
Tanggung Jawab
- Design and implement computer vision algorithms using deep learning frameworks
- Conduct literature reviews and maintain research methodology documentation
- Collect, preprocess, and validate datasets for model training and evaluation
- Collaborate with cross-functional teams on experimental design and execution
- Assist in developing technical reports, research papers, and patent applications
- Optimize model performance through hyperparameter tuning and architecture refinement
- Present research findings at internal seminars and academic conferences
Kualifikasi
- Bachelor's or Master's degree in Computer Science, Electrical Engineering, or related field
- Strong foundation in machine learning, neural networks, and computer vision principles
- Proficiency in Python with experience in TensorFlow, PyTorch, or similar frameworks
- Familiarity with computer vision libraries (OpenCV, scikit-image) and data processing tools
- Experience with version control (Git) and cloud computing platforms (AWS/GCP)
- Strong analytical skills with attention to experimental design and validation
- Excellent written communication abilities for technical documentation