Mobility experience with a research focus
PhD sandwich
Department of Mathematics and Geosciences
The research will cover two broad topics. First, optimization techniques and learning representation for intelligent agents, both embodied (simulated robots) and disembodied, with the eventual goal to investigate the interplay between different timescales of adaptation (reaction, learning, development, evolution). Second, algorithmical improvements to nature-inspired and population-based optimization techniques, mainly in the field of evolutionary computation.
Italian/English
Familiarity with popular machine learning techniques, tools (classification, regression), and computer languages (e.g., Python, Java).
PhD sandwich: 3-12