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Senior Research Scientist
vor 4 Wochen
About Torc
Torc is a leader in autonomous driving, commercializing our solutions with experienced partners since 2007. We are focused on developing software for automated trucks to transform how the world moves freight.
As an organization at the forefront of autonomous driving, we have gathered vast amounts of valuable sensor data that provide a deep insight into various driving environments and scenarios. Our strategic response is to integrate foundational computer vision techniques to harness its full potential and drive its capabilities further ahead to adhere to future needs.
We are actively searching for three PhD candidates with a passion for generative neural networks, simulation, and training large foundational models. This role will be pivotal in refining and enhancing our data assets to extract maximum value. With a wealth of sensor data at hand, the application of generative neural networks stands as a promising avenue. These networks with cutting-edge machine learning methodologies such as self-supervised learning techniques can identify intricate patterns and nuances, while relying less on labeled datasets, laying the groundwork for more intelligent, data-driven decision-making.
Key Responsibilities:
- Collaborate with internationally renowned research organizations in the United States and Germany, pushing the state-of-the-art with today's sensors and algorithms.
- Participate in international conferences and publish your work accordingly.
Requirements:
- Master's degree in a highly quantitative discipline such as Computer Science, Physics, Mathematics, Electrical Engineering, or related fields.
- Fluency in English and/or German.
- Strong programming skills in an object-oriented programming language such as Python/C++.
- Familiarity with Linux.
- Ability to think ahead/independence.
- Familiarity with deep learning frameworks such as Tensorflow or Pytorch.
Nice to Haves:
- Familiarity with object detection/tracking/reinforcement learning/generative networks.
- Experience in Bayesian inference/Monte Carlo methods.
- Experience with ROS.
Bonus Points:
- Experience with Cloud Computing Services as Slurm, AWS, or Azure.
- Published your work at CVPR/ICML/ECCV/ICCV/Siggraph or similar.
- Experience with optimization methods.
- Experience with Sensors such as LiDAR, RADAR, Camera.
What We Offer:
At Torc, we're committed to building a diverse and inclusive workplace. We celebrate the uniqueness of our Torc'rs 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 don't meet 100% of the qualifications listed for this opportunity, we encourage you to apply.
