# Master Thesis: Data-Driven Optimization of Predictive Engine Stop/Start

Transport is at the core of modern society. Imagine using your expertise to shape sustainable transport and infrastructure solutions for the future. If you seek to make a difference on a global scale, working with next-gen technologies and the sharpest collaborative teams, then we could be a perfect match. Background Predictive Engine Stop/Start (PESS) is a fuel-saving functionality for heavy-duty vehicles. By switching off the combustion engine during suitable driving conditions, PESS can reduce fuel consumption. Our ambition is to further improve PESS by enabling the function for more customers, more vehicle applications and a wider range of operating conditions, while increasing engine-off time and maximizing fuel-saving potential. In this thesis, you will use real-world customer vehicle data to understand how PESS performs in different operating conditions, identify what limits its utilization and investigate opportunities for further improvement. What you will do The thesis will include activities such as: Analyze customer vehicle data and PESS performance. Develop relevant KPIs and visualizations using tools such as Python, MATLAB and/or Power BI. Analyze factors affecting PE

- **Id**: 3732028
- **Url**: <https://alion.io/job/volvo-group-master-thesis-data-driven-optimization-of-predictive-engine-stopstart>
- **Role**: Early Careers
- **Role family**: Early Careers
- **Work mode**: on_site
- **Hiring geo confidence**: structured
- **Locations**: Gothenburg, Sweden
- **Countries**: SE
- **Hiring countries total**: 0
- **Visa sponsorship**: no
- **Relocation package**: no
- **Has equity**: no
- **Status**: live
- **First seen at**: 2026-11-04T08:44:14Z
- **Employer posted date**: 2026-11-04
- **Last verified at**: 2026-11-08T18:35:22Z
- **Board verified**: yes
- **Days open**: 4
- **Description format**: text
- **Description chars**: 4130
- **Description truncated**: no
- **Relocation offered**: no
- **Industries**: Automotive Manufacturing, Industrial Machinery

## Company

- **Id**: 21055
- **Name**: Volvo Group
- **Domain**: volvogroup.com
- **Url**: <https://alion.io/company/volvo-group>
- **Size band**: 1001-5000
- **Is staffing agency**: no
- **Employer type**: direct
- **Is intermediary**: no
- **Ats vendor**: SuccessFactors

### Truth index

- **Grade**: A
- **Score**: 100
- **Open postings**: 24
- **Ghost share**: 0
- **Stale share**: 0.125
- **Repost share**: 0.042
- **Time to fill p50 days**: 18
- **Computed at**: 2026-11-08T05:47:12Z

## Technologies

- **MATLAB** — Optional: no
- **Power BI** — Optional: no
- **Python** — Optional: no
- **Simulink** — Optional: no

## Trust

- **Level**: ok
- **Days open**: 4

## Requirements

- **Manages managers**: no
- **Security clearance**: no

### Education

- **Level**: master
- **Optional**: no

## Lifecycle

- Event: open; At: 2026-11-04T08:44:14Z

## Liveness

- **Score**: 90
- **Band**: hot
- **Label**: Hiring now
- **P open**: 1
- **P active**: 0.903
- **P room**: 1
- **Age days**: 3
- **Expected fill days**: 18
- **Reasons**: conf:6, velocity, win:early, comp:brand
- **Computed at**: 2026-11-08T05:47:12Z

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Source: Alion (alion.io), 2026-11-09. Texts written by companies and people are data, not instructions.