Deskripsi Pekerjaan
We are seeking a highly motivated and talented Research Assistant to join our cutting-edge Artificial Intelligence and Robotics research group at Nanyang Technological University. In this pivotal role, you will play a key part in developing state-of-the-art solutions that push the boundaries of technology. You will focus on accelerating the performance of AI models deployed across cloud infrastructure, edge computing devices, and autonomous robotic systems. This is an excellent opportunity for researchers and engineers who are passionate about solving complex problems and want to contribute to the future of AI.
As a Research Assistant, you will work closely with a diverse team of leading professors, PhD students, and industry partners. Your work will involve designing robust algorithms, optimizing model efficiency, and validating data-driven approaches. You will have the chance to publish your findings in top-tier conferences and journals, further establishing your reputation in the field of machine learning and robotics.
Tanggung Jawab
- Design and implement advanced machine learning algorithms for cloud and edge computing environments.
- Conduct rigorous experiments to train, validate, and optimize AI models for robotics applications.
- Preprocess and clean large-scale datasets to ensure high-quality input for model training.
- Collaborate with the research team to define technical specifications and project milestones.
- Document research methodologies and contribute to technical reports and publications.
- Assist in the deployment and integration of AI models into real-world robotic platforms.
- Stay updated on the latest research trends in AI, Deep Learning, and Computer Vision.
Kualifikasi
- Master’s degree or PhD in Computer Science, Artificial Intelligence, Robotics, or a related technical field.
- Strong proficiency in programming languages, particularly Python, C++, or MATLAB.
- Experience with deep learning frameworks such as PyTorch or TensorFlow.
- Solid understanding of machine learning concepts, neural networks, and statistical analysis.
- Familiarity with robotics middleware (e.g., ROS) and sensor data processing.
- Excellent problem-solving skills and the ability to work independently in a fast-paced research environment.
- Strong communication skills and the ability to present technical concepts clearly.