Eirik Myrvoll-Nilsen

Eirik Myrvoll-Nilsen

Curriculum Vitae

Position
Postdoctoral Research Fellow
Institution
UiT The Arctic University of Norway
Location
Tromsø, Norway
Email
eirik.myrvoll-nilsen@uit.no
Website
eirikmyrvollnilsen.com
ORCID
0000-0002-1643-5661
Summary
Bayesian statistician working with climate, age-depth modeling and data integration.
This is a web version of my CV.

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Research & Work Experience

Education

Publications

12 journal articles, 2018–2026 , and 2 preprints.

2026

  • Hummel, C., Cotronei, A., Myrvoll-Nilsen, E., Aksamit, N. and Rypdal, M. (2026). Non-linear forcing increases uncertainty in detecting a destabilization of the Atlantic Meridional Overturning Circulation. Frontiers in Climate, 8, 1826661. doi:10.3389/fclim.2026.1826661
  • Cotronei, A., Myrvoll-Nilsen, E. and Rypdal, M. (2026). Evaluating Model Uncertainty in Critical Threshold Estimations from Time Series Data: Application to the Atlantic Meridional Overturning Circulation. Frontiers in Climate, 8, 1761461. doi:10.3389/fclim.2026.1761461

2025

  • Myrvoll-Nilsen, E., Riechers, K. and Boers, N. (2025). Synchronization of Layer-Counted Paleoclimatic Proxy Archives Using a Bayesian Regression Modeling Framework. Bayesian Analysis, 1(1), 1–20. doi:10.1214/25-BA1509
  • Hallali, L., Myrvoll-Nilsen, E. and Franzke, C. L. (2025). Assessing AMOC stability using a Bayesian nested time-dependent autoregressive model. Nonlinear Processes in Geophysics, 32(4), 383–395. doi:10.5194/npg-32-383-2025
  • Myrvoll-Nilsen, E., Hallali, L. and Rypdal, M. (2025). Bayesian analysis of early warning signals using a time-dependent model. Earth System Dynamics, 16(5), 1539–1556. doi:10.5194/esd-16-1539-2025
  • Martinsen, I., Sørensen, S. A., Ortega, S., Godtliebsen, F., Tejedor, M. and Myrvoll-Nilsen, E. (2025). Quantifying uncertainty in foraminifera classification: How deep learning methods compare to human experts. Artificial Intelligence in Geosciences, 100145. doi:10.1016/j.aiig.2025.100145

2024

  • Godtliebsen, F., Myrvoll-Nilsen, E. and Holmström, L. (2024). Comments on: Data integration via analysis of subspaces (DIVAS). TEST, 33, 683–685. doi:10.1007/s11749-024-00937-7

2022

  • Myrvoll-Nilsen, E., Riechers, K., Rypdal, M. W. and Boers, N. (2022). Comprehensive uncertainty estimation of the timing of Greenland warmings in the Greenland ice core records. Climate of the Past, 18, 1275–1294. doi:10.5194/cp-18-1275-2022

2020

  • Myrvoll-Nilsen, E., Sørbye, S. H., Fredriksen, H.-B., Rue, H. and Rypdal, M. (2020). Statistical estimation of global surface temperature response to forcing under the assumption of temporal scaling. Earth System Dynamics, 11(2), 329–345. doi:10.5194/esd-11-329-2020

2019

  • Myrvoll-Nilsen, E., Fredriksen, H.-B., Sørbye, S. H. and Rypdal, M. (2019). Warming trends and long-range dependent climate variability since year 1900: A Bayesian approach. Frontiers in Earth Science, 7, 214. doi:10.3389/feart.2019.00214
  • Sørbye, S. H., Myrvoll-Nilsen, E. and Rue, H. (2019). An approximate fractional Gaussian noise model with $O(n)$ computational cost. Statistics and Computing, 29, 821–833. doi:10.1007/s11222-018-9843-1

2018

  • Rypdal, M., Fredriksen, H.-B., Myrvoll-Nilsen, E., Rypdal, K. and Sørbye, S. H. (2018). Emergent scale invariance and climate sensitivity. Climate, 6(4), 93. doi:10.3390/cli6040093

Preprints

  • Sørbye, S. H., Myrvoll-Nilsen, E. and Rue, H. (2026). Bayesian identification of early warning signals for long-range dependent climatic time series. arXiv. doi:10.48550/arXiv.2602.09731
  • Morr, A., Ben-Yami, M., Groenke, B., Schötz, C., Cotronei, A., Myrvoll-Nilsen, E., Bathiany, S., Rypdal, M. and Boers, N. (2026). Extrapolation from historical data cannot reliably predict the time of a potential AMOC collapse. arXiv. doi:10.48550/arXiv.2604.20341
Browse with abstracts and PDFs

Presentations

Conference Presentations

Automating object detection and classification of foraminifera Jun 2023
NOBIM 2023, Tromsø, Norway
Myrvoll-Nilsen, E., Sørensen, S. Aa., Galata, S., Johansen, T. H., Martinsen, I., Hald, M. and Godtliebsen, F.
Synchronization of layer-counted archives using a statistical age-depth model May 2022
EGU General Assembly 2022, Vienna, Austria
Myrvoll-Nilsen, E., Riechers, K. and Boers, N.
Quantification of the dating uncertainties in Greenland ice core records Jun 2021
NORDSTAT 2021, Tromsø, Norway
Myrvoll-Nilsen, E., Boers, N., Riechers, K. and Rypdal, M.
Statistical modeling of dating uncertainties in Greenland ice core records Jun 2021
DYNAMO Seminar, UiT The Arctic University of Norway, Tromsø, Norway
Myrvoll-Nilsen, E., Boers, N., Rypdal, M. and Riechers, K.
A statistical model for dating uncertainties in Greenland ice core records Apr 2021
EGU General Assembly 2021, Vienna, Austria
Myrvoll-Nilsen, E., Boers, N., Rypdal, M. and Riechers, K.
Incorporating long-range dependency into Bayesian spatio-temporal modeling Jun 2019
Det 20. norske statistikermøtet, Sola, Norway
Myrvoll-Nilsen, E. and Sørbye, S. H.
A statistical model for global surface temperature response to radiative forcing with long-range dependent noise Apr 2019
EGU General Assembly 2019, Vienna, Austria
Myrvoll-Nilsen, E., Rypdal, M., Fredriksen, H.-B. and Sørbye, S. H.
Modeling global surface temperatures in terms of climate forcing and a long-memory stochastic process Jun 2018
NORDSTAT 2018, Tartu, Estonia
Myrvoll-Nilsen, E., Sørbye, S. H., Rypdal, M., Fredriksen, H.-B. and Rue, H.
Computationally efficient Bayesian approximation of fractional Gaussian noise Jun 2017
Det 19. norske statistikermøtet, Fredrikstad, Norway
Myrvoll-Nilsen, E., Sørbye, S. H. and Rue, H.

Posters

Automating object detection and classification of foraminifera Sep 2023
VIDAYS 2023, Lillestrøm, Norway
Myrvoll-Nilsen, E., Sørensen, S. Aa., Galata, S., Johansen, T. H., Martinsen, I., Hald, M. and Godtliebsen, F.
Modeling global surface temperatures in terms of climate forcing and a long-memory stochastic process Jul 2018
BAYSM 2018, Warwick, UK
Myrvoll-Nilsen, E., Sørbye, S. H., Rypdal, M., Fredriksen, H.-B. and Rue, H.

Funding

Funding for Research Stays Abroad for Doctoral and Postdoctoral Fellows 2023
The Research Council of Norway · project 350036 · NOK 1,853,000
Research stay at The University of North Carolina at Chapel Hill, Chapel Hill, NC, USA.

Supervision

PhD Candidates

Luc Hallali Sep 2021 – Present
Co-supervisor until February 2025; main supervisor since then
UiT The Arctic University of Norway
In progress
Dennis Adamek Apr 2025 – Present
Co-supervisor
UiT The Arctic University of Norway
In progress
Jan Zavadil Sep 2024 – Present
Co-supervisor
UiT The Arctic University of Norway
In progress

Master's Students

Sophie Laux Aug 2025 – May 2026
Co-supervisor
UiT The Arctic University of Norway
Exploring early warning signals in timeseries using empirical and model-based approaches
Jørgen Knudsen Aug 2024 – May 2025
Main supervisor
UiT The Arctic University of Norway
Bayesian framework for curve alignment and change point detection applied to marine sediment core data
Teodor Lynghaug Skotnes Sep 2023 – Jan 2024
Main supervisor
UiT The Arctic University of Norway
Deep Learning Based Automatic Segmentation of Gas Flares in Single Beam Echo Sounder Data

Teaching Experience

Course coordinator and lecturer
UiT The Arctic University of Norway · Tromsø, Norway
STA-2004 – Statistical Methods Spring 2026
STA-1001 – Probability and Statistics Spring 2020
  • Held full course responsibility, including lectures and administration
  • Prepared and graded examinations
  • Developed exercises and teaching material
Research Assistant
Norwegian University of Science and Technology · Trondheim, Norway
TDT4102 – Procedural and Object-Oriented Programming Spring 2016
  • Ran the mandatory exercise program, which students must pass to sit the exam
  • Managed a team of teaching assistants
  • Held lectures supporting the exercises
  • Supervised weekly exercise sessions
Senior Teaching Assistant
Norwegian University of Science and Technology · Trondheim, Norway
TDT4102 – Procedural and Object-Oriented Programming Spring 2015
  • Developed mandatory exercises
  • Supervised weekly exercise sessions
Teaching Assistant
Norwegian University of Science and Technology · Trondheim, Norway
TDT4102 – Procedural and Object-Oriented Programming Spring 2013, Spring 2014
TMA4240 – Statistics Fall 2014, Fall 2015
  • Supervised weekly exercise sessions

Research Software

  • INLA.ews R Efficient Bayesian framework for detecting early warning signals
  • Bremla R Bayesian age-depth modeling and synchronization of layer-counted archives
  • INLA.climate R Full Bayesian analysis of radiative forcing climate model
All software

Academic Service & Outreach

Organizational Roles

Treasurer and Board Member Jun 2023 – Present
The Norwegian Statistical Association
  • Responsible for the association's finances and membership registry
Deputy Representative for Temporary Employees Jan 2023 – Dec 2023
Faculty Board (NT-Fak), UiT The Arctic University of Norway
Deputy to the elected representative for temporary academic staff on the faculty's governing board.
President May 2018 – May 2019
Association of Doctoral Organizations in Norway
  • Represented the organisation at conferences and seminars on Norwegian research policy, including summits attended by ministers, rectors and sector leadership
  • Wrote consultation responses to government on the organisation's behalf
  • Wrote funding applications to the Norwegian Ministry of Education and Research
  • Gave talks across the sector, including a seminar for doctoral candidates run by Forskerforbundet, the Norwegian Association of Researchers
Vice President May 2017 – May 2018
Association of Doctoral Organizations in Norway
  • Served as acting president from August to October 2017
  • Advised doctoral candidates at the University of Bergen during the founding of UiBDoc, their local organisation, which subsequently joined the association
  • Represented Norway at the Eurodoc annual general meeting, 2018
  • Contributed to consultation responses to government and to funding applications to the Norwegian Ministry of Education and Research
Vice President Jan 2017 – Jun 2018
TODOS - Tromsø Doctoral Students (Now ArcticDoc)
  • Organised academic and social events for doctoral candidates at UiT, and relayed information relevant to them
TODOS Representative Jan 2017 – Jun 2018
Strategisk Forskningsutvalg (Strategic Research Committee), UiT
  • Represented doctoral candidates on UiT's strategic research committee
Student Representative (IME Faculty) Jan 2015 – Nov 2015
Student Parliament, Norwegian University of Science and Technology
  • Elected as one of four representatives from the Faculty of Information Technology, Mathematics and Electrical Engineering
  • One of 25 representatives in NTNU's highest student governing body, representing some 22,000 students

Peer Review

Earth System Dynamics 2021 – 2024
3 reviews
Journal of Climate 2022
1 review

Professional & Community Service

Invited panel discussant Mar 2025
TEST journal webinar (Springer)
Panel on the discussion paper "Data integration via analysis of subspaces (DIVAS)", following the published comment in TEST 33, 683–685.
Organizer, reading group on multimodal data Spring 2024
Selected papers and arranged presenters on multimodal deep learning, data integration and multi-view analysis. Participants from UiT, UiO, NORCE and UNC Chapel Hill.
Session chair Jun 2021
NORDSTAT 2021: 28th Nordic Conference in Mathematical Statistics
Session C3: Applications, models and methods for high-dimensional and complex data.

Outreach & Public Engagement

Activity facilitator Jun 2026
Artificial Intelligence Day, UiT The Arctic University of Norway
Hands-on activity in which upper secondary pupils enacted the computation of a neural network. Four groups, around 30 pupils in total.
Exhibition contributor Jan 2024 – Mar 2024
Northern Norwegian Science Centre (Nordnorsk vitensenter)
Contributed to an exhibition on artificial intelligence, including an interactive exhibit in which visitors are shown an object on screen and must find and hold a matching real-world object up to a camera for an image-classification model to recognise.

Professional Development & Certifications

UNIPED-600 Development Program in Research Supervision
Oct 2022 – Jun 2023
UiT Result
View course
Learning Assistant Training (LAOS) Program
Fall 2014
The Norwegian University of Science and Technology
View course

Skills

Programming
R · Python · MATLAB · C/C++
Statistical Frameworks
INLA · Stan · PyTorch
Tools
tidyverse · Git · LaTeX
Languages
Norwegian (native) · English (fluent) · German (elementary)