Master Thesis: Driver - Mappster Team

Job description

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. 

 

Master Thesis Position: Automatic Intersection Finding and Deadlock Prevention 

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. 

 

About the Team 

At Volvo Autonomous Solutions, we work together to realize autonomous solutions that will defy conventions and take us to the future. With entirely new business models and advanced technology, we will meet and exceed expectations from customers and contribute to a society that we want to live in. We are unified by diversity, great ideas and inclusiveness. Our colleagues are the most important part of our story so every member in our team matters and plays a critical role in our journey to success. 

 

The Driver team focuses on developing cutting-edge algorithms for trajectory planning, vehicle control, and auxiliary functions tailored for trucks and machinery in quarry and mining environments. A key enabler for our software's reliability is efficient testing methods, allowing us to detect issues early in the development cycle and ensure safe system behavior. We utilize a variety of test environments with different levels of granularity to validate our solutions. 

 

Thesis Scope 

As a thesis student, you will join a team where collaboration, learning, and drive are the backbone in everything we do. You will surround yourself with the nicest people energized by creating impact in everyday opportunities such as connecting with a colleague, forming an innovation, or implementing a software feature. 

 

The scope of the thesis is to study automated intersection finding algorithms, which will describe the areas of an autonomously operated site that has restricted traffic flow. The reason for restricting the area is due to a limited road surface meaning that vehicles can't meet head-on. The important problems to solve are an efficient algorithm to find these zones and then given a setup of intersection zones analyze them to find any potential “deadlock” configurations. Mitigating and/or identifying potential deadlock configurations is key to enhancing the overall efficiency and safety of the autonomous transport solution. 

 

Tasks and Expected Outcomes 

You will review literature and interview experts to gather insights into state-of-the-art testing techniques and domain-specific knowledge. You will also be expected to develop and implement algorithms for intersection finding and deadlock prevention and validate these algorithms through simulations and potentially real-world testing. 

 

The thesis could be structured as follows: 

· 
Literature Review: Review existing testing techniques, focusing on automated intersection finding and deadlock prevention in autonomous vehicle systems. This will include an analysis of current methodologies and their limitations. 

· 
Application of Testing Techniques: Understand the specific requirements of our use cases and apply the reviewed techniques to our autonomous systems. This will involve adapting existing methods to fit the unique constraints of our operational environments. 

· 
Development of New Testing Techniques: Leverage domain knowledge to develop new algorithms for intersection finding and deadlock prevention. This will include designing, implementing, and testing these algorithms to ensure they meet existing standards. 

 

Candidate Profile 

We look for colleagues who are truly passionate about what they do and pride themselves on being professional, flexible, and solution oriented. As our business area is new and stimulating, you need to share our curiosity for innovative technology and tools. 

 

We believe a strong candidate for this position will have the following qualifications: 

· 
Master’s student in Software Engineering, Mathematics, Physics, Electrical Engineering, Automotive Engineering, or a related field. 

· 
Familiarity with modern software development methods. 

· 
Proficiency in programming, ideally with experience in Python. 

 

Why Join Us? 

This thesis project offers you a unique opportunity to work at the forefront of autonomous vehicle technology, contributing to safer and more reliable systems in challenging environments. You will have access to cutting-edge tools and the chance to collaborate with experts in the field, gaining valuable experience that will set you up for a successful career in software and automotive engineering. 

 

We are an equal opportunity employer with office locations in Sweden and in the US. We strive to offer you flexibility and work-life balance to enable high engagement and fulfillment in both your professional and personal life. 

 

Seems great, doesn’t it? In our team, we definitely think so! 

 

We can promise you great colleagues and some truly exciting opportunities for both professional and personal growth, and we are eager to receive your application letter and CV in English. 

 

For more information, contact:

Tatiana Chistiakova, Group manager - Planning and Prediction, +46 765534865

We value your data privacy and therefore do not accept applications via mail. 

 

Who we are and what we believe in 
Our focus on Inclusion, Diversity, and Equity allows each of us the opportunity to bring our full authentic self to work and thrive by providing a safe and supportive environment, free of harassment and discrimination. We are committed to removing the barriers to entry, which is why we ask that even if you feel you may not meet every qualification on the job description, please apply and let us decide.

 

Applying to this job offers you the opportunity to join Volvo Group . Every day, across the globe, our trucks, buses, engines, construction equipment, financial services, and solutions make modern life possible. We are almost 100,000 people empowered to shape the future landscape of efficient, safe and sustainable transport solutions. Fulfilling our mission creates countless career opportunities for talents with sharp minds and passion across the group’s leading brands and entities. 

 

Part of Volvo Group, Volvo Autonomous Solutions accelerates the development, commercialization and sales of autonomous transport solutions, focusing on defined segments for the on- and off-road space. The combination of strong tech expertise and skilled customer solutions creates innovative transport offers never seen before. We are constantly pushing our own skills and ability to drive change in a traditional industry to meet a growing customer demand. We are now looking for innovative, committed individuals to join us in our endeavor to create customer solutions that enhance safety, flexibility and productivity.

Job Category:  Technology Engineering

Organization:  Volvo Autonomous Solutions

Travel Required:  No Travel Required

Requisition ID:  16225