Joint PhD Study Programme in accreditation: DATA SCIENCE AND AI with application to HEALTH SCIENCES AND ROBOTICS

The third-degree Joint PhD Study Data science and AI with application to Health Sciences and Robotics (DS AI 2 HSR) addresses the fields of Health Sciences and Robotics that are going to be one of those industries that are elevated and made better by artificial intelligence and machine learning technology.

The programme is under accreditation lead by lectures and experts from the high quality university departments of Alma Mater Europaea ECM and AGH University of Science and Technology (AGH UST) Krakow with HPC centre Cyfronet, where both institution link their pedagogical work with basic and applicative research from the fields in the national and international context.

Graduates of this programme will work in a range of companies, scientific or public institutions and manage projects that are concerned with the research and application of AI in those fields.

Research courses in AI:

  • Foundations of Deep learning and Machine learning science
  • Landscape and research in Data Science and Artificial intelligence
  • Introduction to neuroscience and biological inspired architectures in AI
  • Hardware for Deep learning and AI applications
  • Achievements of Deep Learning, current directions and future trends of AI
  • Methodology of scientific and research work

Research in Health science:

  • healthcare data and data analysis for improving diagnosis, curing and caring
  • transformation, classification, mining and visualization data in healthcare
  • specifics in medical data and communication within medical teams, 
  • importance of the ethical value of the medical datasphere 
  • specifics in medical data analysis and statistics
  • specifics in data science in medical field

Robotics themes:

  • specific of robotics
  • perception models and embedded architectures in Deep Learning
  • sensor fusion and deep learning
  • computer vision and ethics in robotics

The programme common skills:

  • creative, critical and autonomous intellectual thinking
  • pushing the boundaries of frontier research
  • good working conditions and  career development opportunities
  • open research environment and interdisciplinary approach
  • transferable skills for research