Steinar Elgsæter

Task Lead Technical Lead Advanced Analytics at Equinor

Trondheim, Trøndelag, Norway
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Summary

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Senior
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Top School
Steinar 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.
code10 years of coding experience
job8 years of employment as a software developer
bookExchange, Project work, Control of multiphase flow, Exchange, Project work, Control of multiphase flow at Delft University of Technology
bookPhD, Engineering Cybernetics, Oil and gas production optimization, PhD, Engineering Cybernetics, Oil and gas production optimization at Norwegian University of Science and Technology
languagesGerman, English, Norwegian
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Github Skills (24)

monitoring10
time-series10
pid-control10
react10
database10
timeseries-database9
datastore9
go9
system-identification9
influxdb9
scalable9
rust9
apexcharts8
data-mining8
analytics8

Programming languages (3)

C#TypeScriptRust

Github contributions (5)

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equinor/TimeSeriesAnalysis

Jun 2024 - Jun 2026

Library for dynamic time-series modeling, identification and simulation. Focus on dealing with non-ideal real world datasets, and applications to industrial processes and -pid-feedback loops. Robust and fast for advanced analytics. Built on .NET to run anywhere.
Contributions:15 reviews, 29 PRs, 210 pushes in 2 years
dotnetsimulationtime-seriesdynamic-simulationsadvanced-analytics
equinor/opc-stream

Nov 2021 - Jan 2022

Contributions:12 commits, 8 pushes, 1 issue in 1 month
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