The Singapore Institute of Technology (SIT) is inviting applications for the position of Research Engineer/Fellow, specializing in Deep Learning and Computer Vision. This opportunity enables candidates to collaborate closely with industry partners and contribute to groundbreaking research projects driven by SIT.
Key Responsibilities
- Develop and optimize deep learning models for tasks such as object detection, classification, and segmentation.
- Utilize frameworks including PyTorch and TensorFlow for model implementation.
- Manage research projects and design software modules related to computer vision applications.
- Perform data annotation and conduct rigorous experiments to validate research outcomes.
- Prepare technical documents and academic publications to disseminate findings.
Required Qualifications and Skills
- A Bachelor’s degree in Computer Science, Engineering, or related fields; a Master’s or PhD is preferred.
- Expertise in deep learning architectures such as YOLO and U-Net.
- Proficiency in Python programming and experience with libraries like OpenCV and NumPy.
- Experience in developing Windows desktop applications that incorporate deep learning technologies.
- Knowledge of model deployment techniques, edge computing, and real-time processing is advantageous.
- Participation in machine learning competitions such as Kaggle is a plus.
Essential Attributes
- Strong analytical and problem-solving skills.
- Self-motivation and the ability to work effectively in a team environment.
- Excellent communication skills to facilitate collaboration and knowledge sharing.
This position provides hands-on experience in industry-driven research with potential for significant career growth and collaborative opportunities. Interested candidates should stay tuned for updates on Job Stall Vacancies for the latest information.
