Now in its 24th year, AMSI Summer School is a four-week national training and networking event offering eight honours/masters level subjects taught by leading academics, a three-part special lecture series on Ergodicity of Markov processes by Dr Xi Geng (The University of Melbourne), a public lecture by Prof. Burkhard Polster (Monash University), participant talks, an industry-focused Careers Day on Thursday 22 January and social networking events.

• Audience: honours and postgraduate students in the mathematical sciences and related disciplines, early career researchers and industry professionals looking to upskill
• Subjects: Participants can study up to two subjects with the option for students to sit one for credit towards their degree (with home university permission). View subject pages for course details including assessment breakdowns
• • Applications of Probability Generating Functions to Biological Systems
  • Applied PDEs in Fluid Dynamics (Sponsored by ANZAMP)
  • Computational & Combinatorial Algebraic Topology (Sponsored by AustMS)
  • From Equations to Intelligence: A Deep Dive into Data Science and AI
  • Linear and Nonlinear Elliptic and Parabolic Partial Differential Equations
  • Machine Learning in Financial Mathematics
  • Mathematical Optimisation Theory and Applications
  • Multivariate Statistical Analysis (Sponsored by SSA)
• Discounted AMSI member fees: $600 for students / $815 for ECRs & professionals.
• Summer school applications close 26 October
• Travel grants: Students from AMSI Member Universities can apply for travel and accommodation grants to support in-person participation in Melbourne. Please make students aware of local funding/scholarships they can access to supplement AMSI support.
• Research talks: Participants are invited to share their research by giving a short talk.
• Mode of participation: In-person strongly encouraged for the full experience; online participation is available (note some elements may be limited).