Hae paikkaan Internship Programme

1. Home university *

2. Study programme *

3. Which of the project would you like to work with during your internship? *

•  Maker-Breaker percolation games (Victor Falgas Ravry, Project 1)
•  Subcube intersection graphs (Victor Falgas Ravry, Project 2)
•  Bootstrap percolation in random intersection graphs (Victor Falgas Ravry, Project 3)
•  Mixed degree conditions for hypergraphs (Victor Falgas Ravry, Project 4)
•  Covering problems in hypergraphs (Victor Falgas Ravry, Project 5)
•  Traveling Salesman Problem (Gerold Jäger, Project 1)
•  Mastermind (Gerold Jäger, Project 2)
•  Exploring multiplicative payoff functions in the evolution of cooperation (Ã…ke Brännström, Project 1)
•  Analyzing risk and return of Swedish investment vehicles (Ã…ke Brännström, Project 2)
•  Inflation-indexed securities and Derivatives: Applications in Fund Management (Christian Ewald, Project 1)
•  Marital fertility modelling (Per Arnqvist, Project 1)
•  Change-point detection for point processes (Mehdi Moradi, Project 1)
•  Edge correction for Voronoi-based intensity estimators (Mehdi Moradi, Project 2)
•  Multivariate SDE-based models for trajectories (Mehdi Moradi, Project 3)
•  Shape-constrained-based estimators for higher-order summary statistics for spatial point processes (Mehdi Moradi, Project 4)
•  Zero-inflated models for points processes on linear networks (Mehdi Moradi, Project 5)
•  Shape constrained generalized additive models for complex datasets (Natalya Pya Arnqvist, Project 1)
•  Functional clustering methods for climate reconstruction (Natalya Pya Arnqvist, Project 2)
•  Advancing cosmic ray analysis: an open-source android neutron detector module (Natalya Pya Arnqvist, Project 3)
•  Bayesian hierarchical model for blind source separation of biomedical signals (Jun Yu, Project 1)
•  Equivariance and augmentation (Axel Flinth, Project 1)
•  Total variation regularized optimization problems on measure spaces (Axel Flinth, Project 2)
•  Stability of neural differential equations (Fredrik Ohlsson, Project 1)
•  Unified analysis of momentum-based optimization methods (Alp Yurtsever, Project 1)
•  Privacy aspects of Frank-Wolfe-type updates in federated learning (Alp Yurtsever, Project 2)
•  Convex reformulations via copositive programming (Alp Yurtsever, Project 3)

4. CV *

5. Transcript of records *

6. Motivation letter *

7. Preferred time period of the internship *

8. Phone number *

9. Country of citizenship *