Company Description

Do you want beneficial technologies being shaped by your ideas? Whether in the areas of mobility solutions, consumer goods, industrial technology or energy and building technology – with us, you will have the chance to improve quality of life all across the globe.

Bosch has approximately 400 000 employees globally and Lund is Bosch’s newest site in Sweden.  We are a development center with more than 220 engineers developing eBike components, smartphone applications, intelligent sensors, cockpit clusters for vehicles, FOTA- and Security-solutions and more.  Welcome to Bosch!

Job Description

Problem statement:
If you are interested in shaping the future of connected mobility with a touch of adventure, health-oriented products and a focus on sustainability, we are excited to offer an inspiring and fun master’s thesis project.

The Bosch Connect Module (BCM) is a system component mounted on the eBike. The BCM includes advanced sensors and positioning electronics to enable 24/7 monitoring of the bike’s location and motion. With the help of the BCM, the assignment in this project is to detect when motion of the bike has occurred using machine learning algorithms.

Proposed solution:
The focus in this thesis project shall be on developing algorithms for motion detection using a machine learning approach. In the team, algorithm development has been conducted and there is an existing framework with e.g., annotated data and visualization tools.

We propose the following topics to be covered in the thesis:

• Research and find suitable algorithms for motion detection using state of the art techniques such as machine learning and analytical methods for time series data.
• Identify relevant features for motion detection based on the available sensors.
• Conduct field testing to evaluate, verify and validate the algorithms in different real-world scenarios.
• You will of course have the opportunity to shape the thesis based on your knowledge, skills and discoveries during the project.

Qualifications

Scope of master thesis project:
Two students completing 30 credits each (20 weeks) onsite at the Lund office

In order to be successful in the project with think you are:

• A student in Information Technology, Computer Science, Electronics, Math or Physics.
• Interested in algorithm development and have some signal processing experience with machine learning knowledge.
• Experienced with or have at least some knowledge of programming in Matlab, Python, C++ or similar.
• Self-driven, able to challenge yourself, and gain the experience needed to move the project forward.
• A person with team spirit, social skills and a curiosity for exploring new technology areas.
• Proficient in English.
• Please note: Only applications from students at a Swedish University are accepted.

Team: Bosch eBike, ESW13
Supervisor: Gustav Träff, Bosch

Additional Information

Diversity is our strength! At Bosch we look at diversity in gender, generation, nationalities and culture as our advantage. We believe mixed teams to be more successful because they utilize the potential offered by different perspectives and solution strategies. We therefore promote mixed teams at all levels and draw on the entire talent pool.