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THESIS - Hydro power dam monitoring with machine learning models

Background 

Fortum's hydropower dams are part of society's critical infrastructure. To ensure public safety, it is necessary to continuously monitor and understand their state. In the monitoring of hydropower plant equipment, Fortum is already using machine learning models at large scale, and a similar approach has also been tested in the context of dam monitoring with promising result. More development is however needed before machine learning becomes a practically useful and integrated part of the dam monitoring process.

 

Objective 

The objective of the Master Thesis Project is to further develop Fortum's work with machine learning applied to dam monitoring, with a focus on aspects that increase the practical usability. The project may focus on one or a few aspects such as: model evaluation methodology, more dam failure scenarios, new modeling approaches, model interpretability, and model output visualization.

 

Our offer 

At Fortum we see a Thesis Project as a good way to get to know you during your study time and for you to learn more about Fortum and how our business is working. A Supervisor will be appointed to support and guide you through the Thesis Project and you will also create a network of people within the Company as well as with other Students doing their Thesis with us.  

 

For a well performed and approved work, we will provide a taxable lumpsum award. 

 

This Thesis Project is preferably executed at our office in Stockholm/Solna. 

 

Your Qualifications

We believe that you are studying Mechanical Engineering, Electrical Engineering, Engineering Physics or similar, at a Master Programme level. Course in Machine Learning is a pre-requisite. The Project can be performed in either Swedish or English. 

 

We expect you to be analytical, energetic and able to work independently. You like challenges and are interested in solving complicated technical problems. 

 

Interested? 

To apply, register your CV and a personal letter of maximum one page or a Power Point presentation of maximum two slides, in our Recruitment Tool via "Apply now", latest by 24th November 2024. Applications will be evaluated continuously and an applicant on-boarded before this date. 

 

The personal letter shall include an approach on how you would like to investigate the idea. Mark your application with HYG-180.

 

We see this project suitable for two students. When applying, each submit an own application, in which is stated with whom one wants to co-work with.  

 

If you have General questions about Theses or Internship at Fortum, please address those to [email protected]

Please note that we have more Master Thesis Projects open for application at our recruitment site. 

Fortum impact

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THESIS - Hydro power dam monitoring with machine learning models

169 52 Solna
Trainee

Published on 13.11.2024

Company Turnover: 
Yli 100 000 000 €
Company Personnel: 
Yli 1000 henkilöä
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