Research at the Department of Mathematical Sciences

Research at the Department of Mathematical Sciences

Mathematician writing on blackboard. Photo.

Mathematics is the language of technology and natural science, and an important part of our cultural heritage. It develops continually, and extensive research effort goes into both theoretical and applied mathematics.

Research Groups

Research groups


Research activity is mostly oriented towards theoretical studies of algebraic questions, but they also work on more applied topics related to cryptography.


The group's research covers harmonic analysis and complex analysis in one and several variables; applications to geometry, PDEs, and number theory; operator algebras and noncommutative geometry.

Differential equations and numerical analysis (DNA)

The DNA group does research and education in pure and applied mathematics, with a special focus on theory and numerics for differential equations and optimisation problems.

Geometry & topology

The research in geometry and topology spans problems ranging from fundamental curiosity-driven research on the structure of abstract spaces to computational methods for a broad range of practical issues such as the analysis of the shapes of big data sets.

Didactics of mathematics

The research area entails empirical research on teaching and learning of mathematics, in higher education as well as in school. Research activities include algebraic thinking, task design, instructional design, and teaching practices in mathematics. There is also on-going research on transition from school to higher education, as well as on developing mathematics and statistics teaching at higher education.


Research activity includes computational statistics, extreme value theory, design of experiments, reliability analysis, spatial statistics, theoretical statistics, functional genomics, and stochastic and statistical modelling in ecology, evolution and conservation biology.



Einar Rønquist, Head of DepartmentProfessor Einar Rønquist, Head of department.


PhD studies

PhD studies

The PhD programme in mathematical sciences is standardized to 180 credits (3 years). The final plan for the PhD programme is designed in consultation with the candidate, the supervisor and department depending on the subject area for the thesis and the candidate’s needs and preferences.

Vacant positions at NTNU

Research centres

Research centres

Research centres with participants from IMF.

Norwegian Open AI Lab

The Norwegian Open AI Lab is a joint lab for research in Artificial Intelligence, Machine Learning (ML), and Big Data Analytics. The lab conducts fundamental ML research, including theory and method development, as well as application-oriented research at a high international level.

Centre for biodiversity dynamics

The Centre for biodiversity dynamics (CBD) aims to develop an interdisciplinary centre for research into changes in time and space of biological diversity at different organismal levels.

CBD focuses on three primary research areas to increase knowledge about the sustainable conservation of biodiversity in a changing world: population ecology, evolutionary biology, and community dynamics.


The Centre for Research, Innovation and Coordination of Mathematics Teaching (MatRIC) is working for excellence in teaching mathematics in Norwegian universities and university colleges. MatRIC focuses on mathematics teaching and learning within the study programmes of other subjects such as engineering, natural sciences, economics and teacher education.

Mini calevent portlet

Theses defences

Research projects


Research and development projects
Abbreviation Project Framework Contact
CiviMatics Interdisciplinary mathematical modelling meets civic education Erasmus+ Strategic partnership, 2020–2023 Heidi Strømskag
MASCOT Maritime Autonomous Sampling and Control IKT PLUSS (NFR) Jo Eidsvik
GAMES Geophysics and Applied Mathematics in Exploration and Safe production PETROMAKS2 (NFR), 2019–2024 Jo Eidsvik
THREAD Joint Training on Numerical Modelling of Highly Flexible Structures for Industrial Applications Horizon 2020: European Training Network, 2019–2023 Elena Celledoni
WaPheS Wave Phenomena and Stability – a Shocking Combination FRIPRO Young Research Talent Katrin Grunert
COMAN Combinatorial methods in analysis FRIPRO Toppforsk (NTNU/NFR), 2018–2023 Kristian Seip
  Secure, usable and robust cryptographic voting systems FRIPRO IKTPLUSS (NFR), 2018–2022 Kristian Gjøsteen
ACT! ACTive learning in core courses in mathematics and statistics for engineering education NTNU Toppundervisning, 2018–2021 Frode Rønning
TettPÅ Innovative response technology for use in teaching and education. Digital learning areas NTNU Toppundervisning, 2018-2021 Gabrielle Hansen
WaNP Waves and nonlinear phenomena FRIPRO Toppforsk (NFR/NTNU), 2015–2021 Helge Holden
  Representation theory via subcategories FRINATEK (NFR), 2016–2020 Steffen Oppermann
CHiPS Challenges in preservation of structure Horizon 2020, 2016–2020 Elena Celledoni
  Knowledge based non-stationary modeling FRIPRO IKTPLUSS (NFR), 2016–2020 Ingelin Steinsland
  Penalized complexity-priors: a new tool to define default priors and robustify Bayesian models NFR, 2015–2020 Andrea Riebler
  Complex analysis and dynamics NFR, 2014–2020 John Erik Fornæss
SPIRIT Structure preserving integrators, discrete integrable systems and algebraic combinatorics NFR, 2013–2020 Brynjulf Owren
  Nonlinear water waves NFR, 2014–2018 Mats Ehrnström
KTDiM Kvalitet, tilgjengelighet og differensiering i grunnutdanningen i matematikk NTNU Toppundervisning, 2014–2017 Mette Langaas
URE Uncertainty in reservoir evaluation NFR, 2013–2018 Henning Omre
DISPDISC Dirichlet series and analysis on polydiscs NFR, 2013–2018 Kristian Seip
  Clusters, combinatorics and computations in algebra NFR, 2013–2018 Aslak Bakke Buan
02 Dec 2020