Master Thesis Proposal – Simulation & Sensor Fusion for Autonomous Vehicle – Hero

Master Thesis Proposal – Simulation & Sensor Fusion for Autonomous Vehicle

Do you want to explore the frontier of autonomous systems?

In this thesis, we invite one or two students to configure and deploy a simulated autonomous vehicle equipped with for example LiDAR, IMU and camera. The simulation-first approach enables freedom to test and evaluate different sensor fusion SLAM algorithms, with the possibility to later transfer the work to a physical RC car for real-world validation.

About the project

The aim is to use a realistic simulation environment to deploy different SLAM algorithms on an autonomous vehicle which will navigate an indoor setting (e.g. office environment). Within this scope, you will:

  • Configure and deploy sensor models in a simulator.
  • Investigate SLAM- and navigation algorithms optimized for real-time performance.
  • Explore multi-sensor fusion approaches to improve robustness in sub-optimal conditions.
  • Apply your solution to a real RC car platform and compare simulation vs. reality, if time permits it.

Possible research questions

  • What is the impact of multi-sensor fusion on accuracy and robustness in a simulated enviorment?
  • How can SLAM algorithms be optimized for real-time use in dynamic and/or static environments?
  • Which sensors and algorithms are best suited for indoor autonomous navigation?
  • How closely can simulation predict the performance of a real system?

Features & technologies

  • ROS development.
  • LiDAR and vision-based sensing.
  • SLAM- & Navigation algorithms.
  • Sensor fusion.
  • Simulation frameworks (CARLA, GAZEBO).

Who are you?

We are looking for one or two master’s students with an interest in robotics, autonomous systems, and simulation. Experience with programming (Python or C++), ROS, or sensor technologies is valuable but not strictly required. Most importantly, you are curious and motivated to push the boundaries of autonomy. We also prefer you to have good knowledge in both Swedish and English. 

To give you the best possible support during your thesis, we’d like you to be able to come to the office connected to the project and spend most of your time working from there.

Application:

We look forward to receiving your resume, and preferably, a personal letter in which you explain why you want to write your thesis with Syntronic.

We screen and evaluate applications on an ongoing basis. The thesis project may be filled before the application deadline.

Picture1.png
Contact

Linda Pettersson

Talent Acquisition Specialist

Related jobs

Eget exjobbsförslag – Linköping – Hero

Apply no later than 2026-02-28

Eget exjobbsförslag – Linköping

Har du en vision du vill förverkliga? Vi hjälper dig!

Linköping

Eget exjobbsförslag – Stockholm – Hero

Apply no later than 2026-02-28

Eget exjobbsförslag – Stockholm

Har du en vision du vill förverkliga? Vi hjälper dig!

Stockholm

Eget Exjobbsförslag – Göteborg – Hero

Apply no later than 2026-02-28

Eget Exjobbsförslag – Göteborg

Har du en vision du vill förverkliga? Vi hjälper dig!

Göteborg

Are we your next great career match?

We are a global team of engineers present in eight countries and three continents. Together with our world-leading partners, we create tomorrow's technology in telecom, automotive, industrial, defence, and medtech.

About us

This website uses cookies

Cookies ("cookies") consist of small text files. The text files contain data which is stored on your device. To be able to place some type of cookies we need your consent. We at Syntronic AB, corporate identity number 556247-3305 use these types of cookies. To read more about which cookies we use and storage duration, click here to get to our cookiepolicy.

Manage your cookie-settings

Necessary cookies

Necessary cookies are cookies that need to be placed for fundamental functions on the website to work. Fundamental functions are for instance cookies that are needed for you to use menus and navigate the website.

Functional cookies

Functional cookies need to be placed for the website to perform in the way that you expect. For instance to remember which language you prefer, to know if you are logged in, to keep the website secure, remember login credentials or to enable sorting of products on the website in the way that you prefer.

Statistical cookies

To know how you interact with the website we place cookies to collect statistics. These cookies anonymize personal data.

Ad measurement cookies

To be able to provide a better service and experience we place cookies to tailor marketing for you. Another purpose for this placement is to market products or services to you, give tailored offers or market and give recommendations on new concepts based on what you have bought from us previously.