Read the list of projects to choose from when applying for the CompSci program. You will also find the names of the supervisors dedicated to each project. This is a unique possibility to work with top level researchers in their fields of expertise.
NB! Only Call 1 projects are currently open. Call 2 projects will open late 2021, with application deadline in the beginning of 2022, and the start of the doctoral programme for Call 2 projects will be autumn 2022.
Astronomy
Project span computational cosmology and observational and computational studies of the sun
Call 1: Projects starting autumn 2021
- Massive parallelization of end-to-end CMB analysis codes
Supervisors: Hans Kristian Eriksen, Ingunn Kathrine Wehus - Simulations of galaxy formation: interplay between baryonic feedback and dark matter models
Supervisors: Sijing Shen, Claudia Cicone
Call 2: Projects starting autumn 2022
Bioscience
Projects focus on computational and experimental neuroscience, addressing the molecular mechanisms of learning and the interplay between biological and artificial learning systems.
Call 1: Projects starting autumn 2021
- Bio-inspired neural networks for navigation
Supervisors: Anders Malthe-Sørenssen, Gaute T. Einevoll - Large-scale recordings of neurons to reveal mechanisms of learning and memory
Supervisors: Marianne Fyhn, Anders Malthe-Sørenssen - Large-scale network simulations of mouse visual cortex
Supervisors: Gaute T. Einevoll, Marianne Fyhn - Modelling systems levels changes in brain aging induced by genome instability
Supervisors: Hilde Nilsen, Gaute T. Einevoll
Call 2: Projects starting autumn 2022
- Artificial and biological neural networks in cognitive tasks
Supervisors: Marianne Fyhn, Anders Malthe-Sørenssen - Computational disambiguation of cell type and cell state in single cell RNA-seq data
Supervisors: Jennifer L. Hazen, Gaute T. Einevoll - Deep networks: artificial vs. biological
Supervisors: Gaute T. Einevoll, Anders Malthe-Sørenssen - Computational modelling of neural mechanisms of brain plasticity
Supervisors: Anders Malthe-Sørenssen, Gaute T. Einevoll
Chemistry
Computational and experimental projects at the Hylleraas center for computational quantum mechanics and in the science and technology of catalysis.
Call 1: Projects starting autumn 2021
- Acceleration of Many-Electron Attosecond Dynamics Simulations
Supervisors: Thomas Bondo Pedersen, Simen Kvaal - Catalyst Discovery by Combining Computational Chemistry with Machine Learning
Supervisors: David Balcells, Riccardo De Bin - Computational modelling of reaction mechanisms involving metal organic frameworks
Supervisors: Ainara Nova, Unni Olsbye - Development and implementation of multi-resolution models in the exa-scale
Supervisors: Michele Cascella, Thomas Bondo Pedersen - Kinetic measurements, atomistic and kinetic modelling of reactions in confined space
Supervisors: Unni Olsbye, Stian Svelle
Call 2: Projects starting autumn 2022
- Ab initio MD for accurate descriptions of entropy and degradation of nanoporous catalysts
Supervisors: Stian Svelle, Michele Cascella - Development of density-functional methods utilizing tensor densities
Supervisors: Erik Tellgren, Trygve Helgaker - Mechanistic study of CO2 hydrogenation reactions using microkinetic modelling
Supervisors: Aianara Nova, Mats Tilset - Molecular Noninteracting Kinetic Energy by Machine Learning
Supervisors: Trygve Helgaker, Simen Kvaal - Spectroscopic studies of porous catalysts and reaction mechanism
Supervisors: Silvia Bordiga, Stian Svelle
Geoscience
Projects span geophysics, climate research, and geological processes and include traditional computational methods and machine learning based projects.
Call 1: Projects starting autumn 2021
- Computational modelling of hydrogen diffusion along slip planes in upper mantle silicates
Supervisors: Razvan Caracas, Clinton Phillips Conrad - Incorporating real-time datastreams in modelling the state of the Arctic cryosphere
Supervisors: Andreas Kääb, Thomas Vikhamar Schuler - Modelling microscale atmospheric turbulence in the surface layer
Supervisors: Terje Berntsen, Nikki Vercauteren - Role of anisotropic viscosity for computational modelling of convection in the Earth’s mantle
Supervisors: Clinton Phillips Conrad, Ágnes Király - Variable mesh Earth System Models on cloud platforms for high latitude volcanic eruptions
Supervisors: Kirstin Krüger, Trude Storelvmo
Call 2: Projects starting autumn 2022
- Mesoscale modelling of plastic instabilities using machine learning
Supervisors: Luiza Angheluta, Anders Malthe-Sørenssen - Modelling impact of melts on mantle diffusion and viscosity with geodynamic implications
Supervisors: Razvan Caracas, Carmen Gaina - Evaluating mechanisms for intraplate volcanism using the observed distribution of seamounts
Supervisors: Carmen Gaina, Clinton Phillips Conrad - Molecular scale machine-learning based simulations of dynamic fracture in rocks
Supervisors: Anders Malthe-Sørenssen, Henrik Andersen Sveinsson - Optimal Climate
Supervisors: Joseph Henry Lacasce, Morten Hjorth-Jensen - Wavelet-based scale estimation of geophysical phenomena in the ocean and atmosphere
Supervisors: Pål Erik Isachsen, Trude Storelvmo - The nucleation, growth, and coalescence of microfractures control the preparation process of large-scale catastrophic failure in geomaterials
Supervisors: François Renard, Benoit Cordonnier
Mathematics and Statistics
Projects span a broad range of mathematical and statistical subjects – all with a focus on machine learning or broader data science methods.
Call 1: Projects starting autumn 2021
- Deep reinforcement learning for industrial applications: taking flow control to the real world
Supervisors: Atle Jensen, Jean Rabault - Statistical learning method for chemistry applications
Supervisors: Riccardo de Bin, David Balcells - Utilizing covariate information in recommender systems
Supervisors: Ida Scheel, Arnoldo Frigessi
Call 2: Projects starting autumn 2022
Physics
Computational and machine learning projects across several fields of physics spanning quantum mechanics, biological physics and nano science.
Call 1: Projects starting autumn 2021
- Frictional properties of surface structures generated by machine-learning
Supervisors: Anders Malthe-Sørenssen, Morten Hjorth-Jensen - Machine-learning-based molecular modelling of nanoscale geological processes
Supervisors: Anders Malthe-Sørenssen, Morten Hjorth-Jensen - Mesoscale modelling of turbulence and swarming behavior in soft active matter
Supervisors: Luiza Angheluta, Anders Malthe-Sørenssen - Measurement and mechanistic modelling of 3D cell migration
Supervisors: Dag Kristian Dysthe, Anders Malthe-Sørenssen - Development of Quantum Computing Algorithms for studies of quantum mechanical many-body systems
Supervisors: Morten Hjorth-Jensen, Simen Kvaal
Call 2: Projects starting autumn 2022
- Deep-learning based analysis and modelling of cell differentiation pathways
Supervisors: Hanne Scholz, Dag Kristian Dysthe - Mesenchymal stem cell differentiation and mineralization in biomimetic hydrogels: microfluidics and modelling
Supervisors: Dag Kristian Dysthe, Luiza Angheluta - First-principle simulations of nanoscale geological processes
Supervisors: Anders Malthe-Sørenssen, Luiza Angheluta - Development of Quantum Computing Algorithms for studies of quantum mechanical many-body systems
Supervisors: Morten Hjorth-Jensen, Simen Kvaal
Supervisors
Overview of the CompSci supervisors.