Examensarbete Using Machine Learning (ML) for Identification of Similar Projects in Construction Connector (CC)

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

The Construction Connector is a web-based tool developed within NCC for sharing information (data). It enables information to be shared among our core operational processes, for example cost estimation and planning. The goal of the Construction Connector is to secure that information from individual process loops is constantly available to other processes, and always updated.

Purpose

The purpose of this Master’s thesis is to develop the similar projects list feature in Construction Connector (CC).

Aim

The aim is to enable data recycling within CC by making it easier to find and reach related information and knowledge.

Implementation

The CC environment is data structured one. The focus will be on developing the ML model and train it then implementing it as a feature in CC. The feature is a similar projects list in the new project homepage.

Credits 

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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Kontaktpersoner:

Rasmus Rempling


rasmus.rempling@ncc.se