Magnar Bjorgve

Data Scientist

https://talent.gravityer.com/magnar-bjorgve

Member since June 25, 2026

Key Strengths

Strong background in scientific computing and numerical methods, evidenced by projects like NeXtSIM and Dirac Equation solver.
Proficiency in C++, Python, and CUDA, essential for high-performance data science and scientific research.
Experience with Jupyter Notebooks for data analysis and presentation, relevant for data scientist roles.
Exposure to various computational domains including sea ice modeling, atomic physics, and deep learning (nldl_jax).

Cultural & Operational Fit

Cultural Fit Analysis

The candidate's project portfolio demonstrates a strong inclination towards research and scientific computing, which aligns well with roles requiring deep analytical skills and problem-solving. The diversity of projects, from environmental modeling to quantum mechanics, suggests adaptability and a broad intellectual curiosity. However, the projects are predominantly personal/academic, and there is no information on collaborative team environments or professional experience to fully assess cultural fit in a corporate setting.

Soft Skills & Operational Fit

Insufficient data to assess soft skills or operational fit. No psychometric test results or interview feedback provided.

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Assessing your cultural and operational fit

Projects

agent-container-sandbox

May 25, 2026 – Present

agent-container-sandbox — GitHub repository

View Project

nldl_jax

January 11, 2024 – January 11, 2024

nldl_jax — GitHub repository

View Project

vampyr-coven

January 4, 2024 – March 27, 2024

vampyr-coven — GitHub repository

View Project

FMF_HIP

September 18, 2023 – November 30, 2023

FMF_HIP — GitHub repository

View Project

dirac_hydrogen_code

August 2, 2023 – January 28, 2025

GPU-accelerated Dirac Equation solver for atomic physics

View Project

hpc.uit.no

September 13, 2022 – September 24, 2025

HPC group website

View Project

research-software.uit.no

May 1, 2022 – Present

Research software engineering group website.

View Project

Kinetic-energy-free-HF

February 22, 2022 – March 15, 2022

Kinetic-energy-free-HF — GitHub repository

View Project

nextsim

November 11, 2017 – Present

NeXtSIM: Next generation sea ice model

View Project

seminars

January 29, 2016 – Present

Jupyter notebooks for the KJE2001 course at UiT The Arctic University of Norway

View Project

Key Strengths

Strong background in scientific computing and numerical methods, evidenced by projects like NeXtSIM and Dirac Equation solver.
Proficiency in C++, Python, and CUDA, essential for high-performance data science and scientific research.
Experience with Jupyter Notebooks for data analysis and presentation, relevant for data scientist roles.
Exposure to various computational domains including sea ice modeling, atomic physics, and deep learning (nldl_jax).

Cultural & Operational Fit

Cultural Fit Analysis

Soft Skills & Operational Fit

Insufficient data to assess soft skills or operational fit. No psychometric test results or interview feedback provided.

Magnar Bjorgve

Key Strengths

Cultural & Operational Fit

Top Skills

Skills

Projects

Key Strengths

Cultural & Operational Fit