The 2025 PhD Course will be hosted by SAiGENCI in Adelaide, South Australia.

course overview:

Applications open
 2 June, 2025
Applications close
 Extended! 4 August
Applicants notified
 mid-august
Course Dates
 1 December – 12 December, 2025


Now in its tenth year, the EMBL Australia PhD Course brings together more than 60 high-achieving PhD students from diverse research fields across Australia, giving them a head start in their scientific careers.

This unique two-week residential course features scientific masterclasses led by Australia’s foremost researchers, hands-on learning opportunities, and professional skill development – ensuring the next generation of researchers is set up for success.

In 2025, we are proud to co-host the course in Adelaide, in collaboration with the South Australian Immunogenomics Cancer Institute (SAiGENCI). This year’s program is centred on future-ready research skills, including interdisciplinary research, Artificial Intelligence (AI) and Machine Learning (ML).

Course Sponsors:

EMBL Australia is proud to partner with the ARC Centre of Excellence for the Mathematical Analysis of Cellular Systems (MACSYS) to deliver essential training on the integration of biological and computational sciences.

.

We are also proud to announce a partnership with The Solutions for Manufacturing Advanced Regenerative Therapies Cooperative Research Centre (SMART CRC) to deliver a one-day intensive workshop focused on the future of regenerative therapies in Australia.

Key Learning Objectives:

  • Introduce core AI/ML concepts and how they apply across life science technologies
  • Build familiarity with the theory and application of major research tools and methods
  • Encourage collaboration between wet and dry lab researchers
  • Provide hands-on opportunities using real datasets and software
  • Develop scientific communication and visualisation skills
  • Highlight a range of career pathways across sectors
 AI FOUNDATIONS AND SCIENTIFIC MODELLING
 SCIENTIFIC COMMUNICATIONS & ETHICS
  • Introduction to AI and its applications
  • Mathematical modelling, systems biology, and computational approaches
  • Introductory programming (Python or R)
  • Three Minute Thesis (3MT) competition
  • Design thinking and data visualisation
  • Indigenous genomics and ethical considerations
 EMERGING LIFE SCIENCE TECHNOLOGIES
 PROFESSIONAL & CAREER DEVELOPMENT
  • Spatial omics (SAGC)
  • Therapeutics and drug-delivery innovations
  • Imaging techniques and data analysis
  • Working with industry and non-academic pathways
  • Excursion and poster presentation session
  • Career storytelling integrated across sessions

Guest speakers will be announced as available. Course topics are subject to minor change.

 

Course Sponsors

Workshops delivered by