Master's projects

Our group frequently supervises master's theses on topics related to our research. This page lists past and ongoing master's projects as well as thesis opportunities if available.

Current master's projects

Graph Modelling for Metal Organic Complexation
Students: Jonatan Larsen, Filip Nyman
Supervisors: Mats Josefson, Gustaf Hulthe
Examiner: Jan Gerken
ML4SCI
Climate Prediction with PEAR
Student: Tage Tykesson
Supervisor: Daniel Persson
Examiner: Daniel Persson
Project members: Hampus Linander, Christoffer Petersson, Jan Gerken
ENN SCV ML4SCI
Equivariant Weather Forecasting with PEAR
Student: Pietro Rosso
Supervisor: Jan Gerken
Examiner: Simon Olsson
Project members: Hampus Linander, Christoffer Petersson, Daniel Persson
ENN SCV ML4SCI
Manifold-Based Knowledge Distillation
Student: Atharva Khandait
Supervisor: Jan Gerken
Examiner: Jan Gerken

Finished master's projects

Geometric Deep Learning: Gauge equivariant neural networks for learning topological order
Student: Longde Huang
Supervisor: Jan Gerken
Examiner: Jan Gerken
Project members: Oleksandr Balabanov, Hampus Linander, Daniel Persson, Mats Granath
Thesis
ENN ML4SCI
Sub-networks and Spectral Anisotropy in Deep Neural Networks
Student: Hanwen Ge
Supervisor: Jan Gerken
Examiner: Johan Jonasson
Thesis
Predicting UV-Vis absorption spectra by using graph neural network models
Students: William Nyrén, Ibrahim Taha
Supervisors: Mats Josefson, Gustaf Hulthe
Examiner: Jan Gerken
Thesis
Gauge equivariant convolutional neural networks
Student: Oscar Carlsson
Supervisor: Daniel Persson
Examiner: Daniel Persson
Project members: Jimmy Aronsson, Jan Gerken, Hampus Linander, Fredrik Ohlsson, Christoffer Petersson
Thesis
ENN