Examensarbete Digitalization and machine learning for a future data-driven production line of concrete piles

Sista ansökningsdag: 2020-11-01 - Göteborg

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We give you the opportunity to write your master thesis at NCC. We also give you the opportunity to get to know our organization, gain valuable experience and establish contacts for the future. In addition, we get to know you and you can show us what you can!

The time-frame for the Master's Thesis is spring term 2021.

Backgroud and scope

NCC is one of the major concrete pile producers in Sweden. The production of the piles is to a large extent automated and thereby depends on several parameters, such as material parameters connected to cement type, environmental parameters of the surrounding environment and other parameters such as water supply. Controlling these parameters is of importance in order to develop the production line of tomorrow.


The purpose of this Master’s thesis is to investigate the information and data connected to the production of concrete piles.


The aim is to identify the parameters and define their influence on the production line of concrete piles.


The study will be performed as a case study with data from the pile production plants of NCC. By means of machine learning correlations between parameters and plant, the performance will be investigated.


Master’s Thesis 30 hp.

Placement and compensation

You will be located in Gothenburg and your work can result in a possible compensation.

Welcome with your application!

If this sounds interesting or if you have questions please contact Ramus Rempling at NCC R&D via rasmus.remplng@ncc.se. The application is open until 1st November 2020.


We are accepting applications continuously.

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Rasmus Rempling