PhD Machine Learning Researcher

About the Company At Torc, we have always maintained the belief that autonomous vehicle technology will revolutionize the way we travel, transport goods, and do business. Since 2007, Torc has been a leader in autonomous driving, dedicating over a decade to commercialize our solutions with experienced partners. Now being a part of the Daimler family, our sole focus lies in developing software for automated trucks to revolutionize global freight movements. Join us and elevate your career with the pioneers of autonomous technology, and the first AV software company with a vision to directly partner with a truck manufacturer. What you'll do: - Delve into the problems faced by contemporary sensors like stereo cameras and lidar, especially when they malfunction in adverse weather conditions. - Play a crucial role in the AISee project, exploring innovative neural network architectures, including generative AI and sensor fusion networks. - Contribute to enhancing disturbed sensor streams, focusing on robust object detection even in severe weather. - Apply and adapt algorithms to emerging sensor technologies to ensure autonomous vehicles navigate smoothly in any circumstance. - Collaborate with numerous internationally renowned research organizations in the United States and Germany, pushing the boundaries of current sensor and algorithm capabilities. What you'll need to Succeed: - You have completed or are in the final stages of completing your Master's degree with highest honors in a highly quantitative discipline such as Computer Science, Physics, Mathematics, Electrical Engineering, or related fields. - Fluency in either English or German. - Solid programming skills, particularly in object-oriented languages like Python or C++. - Familiarity with deep learning frameworks like 'tensorflow' or 'pytorch'. - Comfortable working in a Linux environment. - An independent thinker with proactive abilities and the capacity to foresee challenges. Bonus Points! - Experience or familiarity with object detection, tracking, reinforcement learning, or adversarial neural networks. - Exposure to Bayesian inference or Monte Carlo methods. - Experience working with nonlinear optimization. - Knowledge or experience with ROS. Additional Information: This full-time position is based in our state-of-the-art research lab in Stuttgart. If this sounds like a journey you'd want to join, or if you have queries, do not hesitate to contact us. We have a PhD position available in our artificial intelligence research lab. At Torc, we are committed to fostering a diverse and inclusive workplace. We celebrate the uniqueness of our team members, and do not discriminate based on race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, veteran status, or disabilities. Even if you do not meet 100% of the qualifications listed for this opportunity, we encourage you to apply. We're always looking for individuals who are hungry, humble, and people smart, and your unique experience may be a great fit for this role or others.