Conducting a thesis on Visual Pattern Recognition at PEIQ, focusing on AI in journalism and newspaper design. Involves model exploration, prototyping, and empirical comparison.
Responsibilities
Conduct your thesis within an exciting research setup
Model exploration & training: benchmark various architectures and apply unsupervised or semi-supervised learning
Prototyping: support the technical implementation of an identifier
Empirical comparison: evaluate the specialized model
Validation: test the system on unseen single pages
Requirements
Technical-analytical degree program, preferably with a focus on AI/Data Science
Basic knowledge of AI models (ideally in Computer Vision) and familiarity with data processing
Initial programming skills
First experience with academic/scientific work
Methodical, structured approach
Benefits
Future-oriented topic
Experienced supervision and regular 1:1 meetings with your mentor
Flexibility regarding work location (nationwide) and working hours
Job title
Thesis – Visual Pattern Recognition, Identifying Design Clusters in Newspaper Production Using Specialized Vision Models
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