Hybrid Thesis – Visual Pattern Recognition, Identifying Design Clusters in Newspaper Production Using Specialized Vision Models

Posted 24 minutes ago

Apply now

About the role

  • 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

Job type

Experience level

Mid levelSenior

Salary

Not specified

Degree requirement

Bachelor's Degree

Location requirements

Report this job

See something inaccurate? Let us know and we'll update the listing.

Report job