Open Positions

Machine Learning Enthusiast

Workplace
Complex Data Analysis Research Group
Start date
Upon agreement
Contract type
Agreement
Job fields
Science and research, application and system development

Our group is seeking a talented and motivated individual for machine learning enthusiast position. We are committed to pushing the boundaries of complex data analysis through innovative machine learning, data mining, and clustering techniques, and to making impactful discoveries that can transform industries and improve lives.

The job will mainly involve:

  • Developing novel machine learning and data mining approaches to uncover patterns within large datasets
  • Collaborating with other researchers to design and implement algorithms for fast indexing of complex data such as human motion, proteins, images, etc.
  • Analyzing and interpreting results from experiments using various visualization tools and statistical methods

What we offer:

  • Flexible working hours and the possibility to work from home
  • Free hand in how you approach your work
  • Access to state-of-the-art computing infrastructure and software tools
  • Work in a friendly team on projects that have the potential to change more than just the university environment
  • Contribute to groundbreaking research in the field of complex data analysis
  • Opportunities for collaboration with international researchers
  • Write and publish papers in top-tier scientific journals
  • Prepare and present research findings at conferences, workshops, and seminars

Profile of a suitable candidate:

  • Successfully completed the PV021 Neural Networks course
  • Has hands-on experience with machine learning systems (training, evaluation, etc.)
  • Possesses a positive attitude towards artificial intelligence
  • Has experience with Python; experience with other programming languages is a plus

Are you interested in working at a university where we help change the world for the better? Contact us at dohnal(at)fi.muni.cz. We look forward to hearing from you!

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