Share this Job
Apply now »

Thesis Work - Projects within Active Safety and Autonomous Driving

Let's create the future together.

At Volvo Cars, we believe that being curious and truly committed to understanding people is the key to future success. We are people who care about other people, working together to create new technologies and innovations for safe, sustainable and convenient mobility. Want to join us?


Looking for a master piece for your master thesis project? Together, we will work towards making the future Autonomous and Connected with human centric technology. Autonomous cars will reshape the traveling and the future lifestyle, would you like to be a part of our team influencing this change? We are looking for driven and motivated students interested in pursuing their master thesis within the development of self-driving cars during the spring term 2020.


The strategy of Volvo Cars is to emphasize the lifestyle of freedom to move with Autonomous Drive by making transportation personal, sustainable and safe. At Active Safety and Autonomous Drive, we embrace this paradigm shift in the automotive industry, which is moving towards the deployment of autonomous vehicles at a very fast pace. Our approach to Autonomous Driving at Volvo Cars is unique by focusing on the people and not just the technology, while at the same time fulfilling our mission that nobody should be seriously injured or killed in a new Volvo car by 2020.


Within our team of over 400 engineers at Active Safety & Autonomous Drive, we are offering a broad range of master thesis projects. Since our core value is everything we do starts with people, we are also open to consider your ideas and proposals.


Who are you?

We are looking for candidates with excellent academic records who are open, innovative, driven and team-players. Because of the interdisciplinary nature of our work, we are extending our search to a broad range of competencies. If you think that you have what it takes to help us in our journey to deliver a safe, human-centric, autonomous drive technology, read below on what we do & the various areas we can offer the thesis work in!


Autonomous Drive/Smart Active Safety Functions – Development, Formal Verification, Tuning and Optimization

This area deals with fundamentals of vehicle localization, prediction, path planning and control. This includes the development and implementation of advanced features and functions for Driver Assistance, Collision Avoidance, Connected Safety and Autonomous Drive. Some examples are Pilot Assist, Animal Detection and the Drive Me project. The projects in this area will deal with developing strategies for multi-objective function tuning and optimization and evaluating future concepts for threat evaluation and decision making. Some projects will also focus on formal verification methods related to HARA, ISO 26262 and functional safety assessment. Keywords: Collision Avoidance, Optimization, Latency, Self-Driving Cars, Future Mobility


Scenario Based Verification for Autonomous Driving

For driver assistance systems, the traditional methods of validation and verification involved driving test kilometers on test grounds and public roads. However, for higher levels of automation, the amount of test driving to prove safety of AD becomes unfeasible – instead, scenario-centric simulation-based testing is envisioned to replace the unachievable goal of test driving billions of kilometers for validation purposes. The thesis projects in this area will deal with developing methods to identify and classify traffic scenarios from driving data using various design of experiments and optimization; applying statistical methods to estimate the exposure rate to rare critical scenarios never seen in test driving; exploring how adaptive parameter coverage in simulations can help inuring safety of AD over  broad parameter ranges in complex dynamic scenarios, enabling online scenario recognition and tagging in vehicles. Keywords: Scenarios, Coverage, Validation, Corner Cases, Edge Cases, States, Transitions, extreme value theory, Optimization, Parameter Space, Data sets


Sensors – Reference/Ground Truth Data Generation and Sensor Fusion

The safety of our cars relies heavily on the performance of multiple sensors such as Radars, Cameras, LIDAR and Ultrasonic Sensors, whose readings are fused in real time to yield the holistic representation of the surrounding of autonomous vehicle validation of the performance of single sensors and the sensor fusion is done by comparing their outputs to high-accuracy data from a reference sensor system. The thesis projects in this area will deal with deploying novel methods to improve the quality of reference sensor data in order to generate more accurate representation of surroundings detection of the objects and scenes that confuse the sensor system (“anomalies”), as well as development of modular and sensor agnostic sensor-fusion systems. Keywords: Sensors, Sensor Fusion, SLAM, Reference Sensor, Ground Truth


Development of Simulators and Virtual Environment for Verification of Autonomous Drive

Before a new function is deployed on a production vehicle, it must be tested virtually in simulation environments. The existing methods used for testing Active Safety functions are not sufficient for the testing of future AD cars. Therefore, we are constantly developing new simulation platforms to ensure both high quantity and quality of virtual verification. The projects in this area focus on research tailored to improving various aspects of the simulation platforms such as rendering capabilities, scaling of simulations etc. and at the same time developing metrics to validate the simulation results against physical data. Keywords: Simulators, Traffic Simulation, Computer Vision, Cluster, Target Platforms, IPC, SDK, Synthetic Data, Rendering


Data, Artificial Intelligence and Machine Learning Driven Development & Verification

The thesis projects in this area deal with exploring the capabilities of Machine Learning and Artificial Intelligence for the development and verification of Self Driving Cars. There is considerable amount of work ongoing in the field of Data Analytics to ensure the use of extensive data to make the vehicle performance better. The projects here will focus on generating trained models for annotation, driving behaviors, object classification, image manipulation & formulation etc. using various machine learning techniques. Keywords: Active Learning, Annotation, Data Driven, Neural Networks, Big Data


Continuous Integration (CI), Continuous Delivery (CD) and Automation Frameworks

We work with building CI and Automation frameworks for software testing and integration. This is essential to maintain efficiency, consistency, quality and transparency for code development and a key enabler for testing Autonomous Drive. The thesis projects in this area deal with quality analysis of products, best agile practices, information management, and communication requirements in big, cross-functional organizations and complex environments. Keywords: Agile, Enterprise


Application and contact

Does this sound like your next challenge? Below are some practicalities you need to be aware of:


  • Proposed thesis work period: 20th January 2020 to 26th of June 2020 (dates can be flexible with +/- 7 days)
  • Academic credits: equivalent to 30 ECTS
  • Number of students: 1-2 students per project (2 preferred)


Welcome with your application by submitting your resume, cover letter in English (including which area you would like to work and why) and grades/transcripts via the link below no later than 17th November 2019. We will be continuously reviewing the applications and selecting the candidates, so apply as early as you can! Note that we do not accept any applications via e-mail. If you have any questions regarding the position you are welcome to contact Siddhant Gupta ( For questions about the recruitment process, please contact Andreas Antefelt (


Who are we?

Everything we do starts with people. Our purpose is to provide freedom to move, in a personal, sustainable and safe way. We are committed to simplifying our customers’ lives by offering better technology solutions that improve their impact on the world and bringing the most advanced mobility innovations to protect them, their loved ones and the people around them. 

Volvo Cars’ continued success is the result of a collaborative, diverse, and inclusive working environment. The people of Volvo Cars are committed to making a difference in our world. Today, we are one of the most well-known and respected car brands, with over 40,000 employees across the globe. We believe in bringing out the best in each other and harnessing the true power of people. At Volvo Cars your career is designed around your talents and aspirations so you can reach your full potential. Join us on a journey of a lifetime as we create safety, autonomous driving and electrification technologies of tomorrow.

Gothenburg, O, SE

Job requisition ID:  27013

Apply now »