Student Assistant (Research, Brøndby)

Job summary

This position is for a Student Assistant in the Emerging Products – Research team, located in Brøndby, Denmark. The role involves supporting product-driven research and prototyping in machine learning, computer vision, video analytics, and related AI technologies, providing hands-on experience with cutting-edge AI solutions.

Qualifications

• Currently pursuing studies in Computer Science, Engineering, Data Science, Artificial Intelligence, Robotics, Mathematics, or a related technical field.
• Proficient programming skills in Python.
• Familiarity with machine learning or data science frameworks such as PyTorch, TensorFlow, NumPy, pandas, OpenCV, or similar.
• Interest in machine learning, computer vision, deep learning, generative AI, video analytics, or edge/cloud AI.
• Ability to read technical documentation and research papers, and communicate findings effectively.
• Experience with Git or similar version-control tools.
• Proficient in written and spoken English.

Responsibilities

• Assist in research activities related to machine learning, computer vision, video analytics, and Responsible AI.
• Develop, test, and document prototypes and experimental pipelines.
• Prepare, clean, annotate, and organize datasets for research experiments.
• Conduct experiments, analyze results, and summarize findings.
• Review academic literature and emerging technologies, translating insights for the team.
• Prepare technical documentation, presentations, and research summaries.
• Collaborate with researchers and engineers to validate new ideas.
• Foster a collaborative research environment that encourages curiosity and knowledge sharing.

Skills

• Strong analytical and problem-solving skills.
• Excellent communication skills for technical documentation and presentations.
• Ability to work collaboratively in a team setting.

Education

• Ongoing studies in a relevant technical field.

Tools

• Python, machine learning frameworks (e.g., PyTorch, TensorFlow), data handling tools (e.g., NumPy, pandas, OpenCV), Git.