Requirements

• Currently pursuing a PhD in Computer Vision, Machine Learning, Robotics, AI, or a related field.

Nice to Haves

• At least one year of research experience in an area related to one of the research directions above.
• A strong background in deep learning and modern neural network architectures.
• Skills in algorithmic problem-solving and software development (e.g., Python, C++).
• Experience with tools like PyTorch, TensorFlow, and OpenCV (for robotics: ROS, MuJoCo, or Unity).
• Publication(s) in top-tier conferences or journals in related fields (e.g., CVPR, ICCV, ECCV, NeurIPS, ICML, ICLR, IJCV, TPAMI, CoRL, RSS, ICRA, IROS, IJRR, T-RO).
• Excellent communication, collaboration, and writing skills.

What You'll Be Doing

• Review relevant work and establish strong, reproducible baselines within the agreed project scope.
• Prototype, train, and evaluate new models and methods for your research direction.
• Design controlled experiments covering quality, model behavior, robustness, and efficiency.
• Own the research workflow end to end, from problem formulation and implementation through analysis, iteration, and clear documentation.
• Work closely with mentors and other researchers, seek feedback, contribute to a shared codebase, and present your findings at the end of the internship.

Perks and Benefits

• This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.