Are you a student of a (joined) UvA bachelor or master program and looking for an exciting research project? The gallery below gives a compilation of available projects in the various scientific disciplines taught at the Faculty of Science. If you see an interesting project, please contact the supervisor of the project. In case you do not see an interesting match, but you wonder about other projects (perhaps you have an interesting research idea related to AI for scientific research yourself), feel free to send an email inquiry to us.
Physics
Develop and optimize machine learning techniques to resolve nanoscale features below the diffraction limit. More
Physics
From scaling laws to emergent capabilities, modern AI systems, in particular large language models, display various behaviours that nobody understands. Statistical mechanics in physics offers a leading tool to analyse and explain these observed phenomena, and thereby answering some of the extremely crucial questions in modern AI theory. More
Physics
Can ML help to learn about the mysterious relations among quantum field theories? More
Physics
Exploit modern advances in nonequilibrium thermodynamics, such as Jarzynski 'sequality and Crooks fluctuation theorem, to devise more efficient sampling algorithms. More
Mathematics
Use supervised learning to gain insights into a long-standing question in analytic number theory. More
Physics
At energy-frontier facilities such as the Large Hadron Collider (LHC), scientists study the laws of nature in their quest for novel phenomena both within and beyond the Standard Model of particle physics. Within the NNPDF approach, neural networks parametrise the underlying physical laws while minimising ad-hoc model assumptions. More
Physics
Machine learning tools within the NNPDF framework and state-of-the-art calculations in perturbative Quantum Chromodynamics. More
Astrophysics
In this MSc project, we will develop a neural network (NN) approach to predict the spectra of massive stars. More
Chemistry
In this master project, you will develop a novel AI-based strategy aimed at modeling and guiding a hydrothermal catalytic liquefaction process. More