Student Assistant
On-siteCopenhagen, Capital Region, Denmark
Job Summary
Support research activities in machine learning, computer vision, video analytics, and Responsible AI by developing, testing, and documenting prototypes, experimental pipelines, and proof-of-concept models. Prepare, clean, annotate, and organize datasets while running experiments to compare results and summarize findings. Review academic literature and emerging technologies to translate key insights, then prepare technical documentation, internal presentations, demos, and research summaries. Collaborate with researchers, engineers, and fellow students to validate new ideas and research directions.
Required Qualifications
- Ongoing studies in Computer Science, Engineering, Data Science, Artificial Intelligence, Robotics, Mathematics, or a related technical field
- Good programming skills in Python
- Familiarity with machine learning or data science frameworks such as PyTorch, TensorFlow, NumPy, pandas, OpenCV, or similar
- An interest in machine learning, computer vision, deep learning, generative AI, video analytics, or edge/cloud AI
- The ability to read technical documentation and research papers and communicate findings clearly
- Experience using Git or similar version-control tools
- Good written and spoken English
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