AI intern
North Holland, Amsterdam Luna Arena
We are seeking a highly motivated and talented individual to join our AI team as an Intern. This internship opportunity is designed for students or recent graduates who are passionate and eager to explore and learn the latest advancements in the field of AI. As an intern, you will work closely with our experienced researchers, engineers, and product managers, gaining hands-on experience in AI research, algorithm development, and data analysis.
Key Responsibilities:
- Collaborate with the product and research team in designing, implementing, and evaluating novel AI software modules
- Solve complex problems in the medical device/imaging sector.
- Build prototypes and proof-of-concept implementations for potential applications of AI technologies in medical products.
- Maintain clear and comprehensive documentation of research findings, experimental setups, and codebase.
- Work collaboratively with other team members, participate in team meetings, and contribute to research discussions.
- Implement visualisation techniques to interpret and analyse the outputs of AI models.
- Visualising model predictions and probability maps, offering valuable insights into the model's decision-making process and its strengths and weaknesses.
- Design interactive visualisation tools that allow researchers and stakeholders to explore and interact with data and model outputs efficiently. These tools should facilitate the exploration of AI model performance and provide a means for comparing different models and experiments.
Qualifications:
- Currently pursuing a Bachelor's, Master's, or Ph.D. degree in Computer Science, Electrical Engineering, or related fields, with a focus on computer vision and machine learning.
- Strong programming skills in Python, and familiarity with deep learning frameworks such as TensorFlow or PyTorch.
- Solid understanding of Neural Network concepts, especially Convolutional Neural Networks (CNN) and probability and statistics.
- Experience with relevant libraries and tools commonly used in AI research.
- Excellent analytical and problem-solving abilities.
- Effective communication skills and ability to work in a team-oriented environment.
- Prior research experience in AI (academic or personal projects) is a plus.
Tags: Computer Science Computer Vision Data analysis Deep Learning Engineering Machine Learning Python PyTorch Research Statistics TensorFlow
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