Steinar Elgsæter
Task Lead Technical Lead Advanced Analytics at Equinor
Trondheim, Trøndelag, Norway
Summary
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Senior🎓
Top SchoolSteinar Elgsæter is a technical lead and task lead in advanced analytics at Equinor, with nine years of experience applying software development, control theory and industrial AI to energy and subsea operations. He combines hands-on coding (C#, .NET, JavaScript, MATLAB) with research-driven initiatives like data-driven digital twins and acoustic-based condition monitoring, bridging lab-scale experiments to field-ready solutions. His background in engineering cybernetics and a PhD in production optimization underpin a strong capability in dynamic simulation, PID/control and model inference from historical data. Steinar has led cross-disciplinary teams to deliver novel control algorithms and automation systems for drilling and production, and often spends time writing code daily to keep technical skills sharp. Based in Trondheim, he brings a rare mix of academic rigor and practical industrial deployment experience, having moved between consultancy, research and company roles since the early 2000s.
9 years of coding experience
8 years of employment as a software developer
Exchange, Project work, Control of multiphase flow, Exchange, Project work, Control of multiphase flow at Delft University of TechnologyPhD, Engineering Cybernetics, Oil and gas production optimization, PhD, Engineering Cybernetics, Oil and gas production optimization at Norwegian University of Science and Technology
German, English, Norwegian
Github Skills (24)
monitoring10
timeseries-database10
time-series10
datastore10
react10
database10
pid-control9
go9
system-identification9
influxdb9
scalable9
rust9
analytics8
data-mining7
release-management6
Programming languages (3)
Github contributions (5)
equinor/TimeSeriesAnalysis
Jun 2024 - Mar 2025
Library that combines control engineering, dynamic simulation and machine learning on time-series. Developed to describe industrial processes and -automation. Lightweight, robust and fast for use in advanced analytics. Built on .NET to run anywhere.
Contributions:1 review, 9 PRs, 105 pushes in 9 months
advanced-analyticsdata-miningdigital-twinsdynamic-simulationsmachine-learning
equinor/opc-stream
Nov 2021 - Jan 2022
Contributions:12 commits, 8 pushes, 1 issue in 1 month
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