Thesis work: 30hp - Optimized central electrical usage
Om jobbet
Introduction
Thesis work is an excellent way to get closer to Scania and build relationships for the future. Many of today's employees began their Scania career with their degree project. TRATON is a group that includes brands such as MAN, Scania, Volkswagen Truck & Bus, and International, with a focus on sustainable mobility in transportation. As part of TRATON, participants collaborate with industry professionals and contribute to ongoing projects. Thesis work at TRATON offers experience within the organization and opportunities to participate in innovative projects while developing professional relationships. For more information: www.traton.com
Background
In Scania's vehicles, electrical power is distributed through central electrical units. A main pillar of Scania's design philosophy is Modularisation: common interfaces that enable a wide range of vehicle variants. This modularity introduces complexity and extensive manual work when assigning fuses to different configurations.
Objective
The purpose of this thesis work is to analyse how vehicle configurations affect fuse allocation and to develop a data-driven method to automate and optimise the fuse population process in our modular vehicle electrical systems.
Job description
The student will analyse vehicle and electrical system data from Scania's databases to identify patterns and dependencies between configurations and fuse layouts. Based on this analysis, a prototype algorithm or AI-based tool will be developed to automate fuse allocation while fulfilling design and safety constraints. The work will be carried out in collaboration with Scania's electrical system and data engineering teams.
Education/program/focus
Data Science, Data Engineering, Information Engineering, Information Technology, Big Data or Artificial Intelligence. Experience in data analysis, machine learning or optimisation is meriting.
Number of students: 1
Start date for the thesis work: January 2026
Estimated time required: 1 semester (30 hp)
Contact persons and supervisors
Viktor Nyman, Senior Engineer, Senior Engineer, viktor.nyman@scania.com
Agnaldo Carvalho Barberino Junior, Manager, Agnaldo.Junior@scania.com
Application
Your application must include a CV, personal letter and transcript of grades.
A background check might be conducted for this position. We are conducting interviews continuously and may close the recruitment earlier than the date specified.
Requisition ID: 21873
Number of Openings: 1.0
Part-time / Full-time: Full-time
Permanent / Temporary: Temporary
Country/Region: SE
Location(s):
Södertälje, SE, 151 38
Required Travel: 0%
Workplace: Hybrid
Thesis work is an excellent way to get closer to Scania and build relationships for the future. Many of today's employees began their Scania career with their degree project. TRATON is a group that includes brands such as MAN, Scania, Volkswagen Truck & Bus, and International, with a focus on sustainable mobility in transportation. As part of TRATON, participants collaborate with industry professionals and contribute to ongoing projects. Thesis work at TRATON offers experience within the organization and opportunities to participate in innovative projects while developing professional relationships. For more information: www.traton.com
Background
In Scania's vehicles, electrical power is distributed through central electrical units. A main pillar of Scania's design philosophy is Modularisation: common interfaces that enable a wide range of vehicle variants. This modularity introduces complexity and extensive manual work when assigning fuses to different configurations.
Objective
The purpose of this thesis work is to analyse how vehicle configurations affect fuse allocation and to develop a data-driven method to automate and optimise the fuse population process in our modular vehicle electrical systems.
Job description
The student will analyse vehicle and electrical system data from Scania's databases to identify patterns and dependencies between configurations and fuse layouts. Based on this analysis, a prototype algorithm or AI-based tool will be developed to automate fuse allocation while fulfilling design and safety constraints. The work will be carried out in collaboration with Scania's electrical system and data engineering teams.
Education/program/focus
Data Science, Data Engineering, Information Engineering, Information Technology, Big Data or Artificial Intelligence. Experience in data analysis, machine learning or optimisation is meriting.
Number of students: 1
Start date for the thesis work: January 2026
Estimated time required: 1 semester (30 hp)
Contact persons and supervisors
Viktor Nyman, Senior Engineer, Senior Engineer, viktor.nyman@scania.com
Agnaldo Carvalho Barberino Junior, Manager, Agnaldo.Junior@scania.com
Application
Your application must include a CV, personal letter and transcript of grades.
A background check might be conducted for this position. We are conducting interviews continuously and may close the recruitment earlier than the date specified.
Requisition ID: 21873
Number of Openings: 1.0
Part-time / Full-time: Full-time
Permanent / Temporary: Temporary
Country/Region: SE
Location(s):
Södertälje, SE, 151 38
Required Travel: 0%
Workplace: Hybrid
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