Read and analyze recent research papers in computer vision (e.g., object detection, segmentation, generative models, vision transformers, etc.)
Summarize key contributions, methodologies, and results from each paper.
Create clear and concise write-ups or presentations to communicate insights with the team.
Compare different approaches and suggest promising techniques for implementation
Stay up to date with top conferences (CVPR, ICCV, ECCV, NeurIPS, etc.)
In collaboration with the subject matter experts, you will assist in developing and implementing new use cases using artificial intelligence or machine learning.
Strong background in computer vision, machine learning, or a related field
Familiarity with research papers and experience reading arXiv or conference papers
Ability to explain complex technical concepts clearly and accurately
Solid understanding of deep learning frameworks (e.g., PyTorch, TensorFlow) is a plus, for implementation.
Excellent communication skills – both written and verbal
Good programming skills in Python
You are an enrolled Master's student in the field of data science, (business) computer science, mathematics or a comparable course of study.
