PhD Researchers - Generative AI for Autonomous Driving on Data Generation, Neural Simulation an[...]

torc; Stuttgart; Vor Ort; EUR 60.000 - 100.000; Vollzeit

Zusammenfassung

Join a pioneering firm in autonomous driving technology and elevate your career in a role focused on generative neural networks and large foundational models. This position offers the chance to work with cutting-edge machine learning techniques and collaborate with renowned research organizations in both the United States and Germany. As part of a diverse and inclusive team, you will contribute to advancing capabilities in automated freight transport, leveraging extensive sensor data and deep learning frameworks. If you are passionate about innovation and eager to make an impact in the field, this opportunity is perfect for you.

Qualifikationen

• Completion or near-completion of a Master's degree with high honors.
• Strong programming skills in Python or C++.

Aufgaben

• Collaborate with research organizations to push boundaries of sensor capabilities.
• Participate in international conferences and publish research work.

Kenntnisse

Python

C++

Deep Learning

Linux

Self-supervised Learning

Ausbildung

Master's degree in Computer Science or related field

Tools

TensorFlow

PyTorch

ROS

AWS

Azure

Jobbeschreibung

At Torc, we have always believed that autonomous vehicle technology will transform how we travel, move freight, and do business.

A leader in autonomous driving since 2007, Torc has spent over a decade commercializing our solutions with experienced partners. We are focused solely on developing software for automated trucks to transform how the world moves freight.

Join us and elevate your career with the company that helped pioneer autonomous technology and is the first AV software company to partner directly with a truck manufacturer.

As a forefront organization in autonomous driving, we have gathered extensive sensor data providing deep insights into various driving environments and scenarios. Within the AI Foundation Department, our strategic focus is to integrate foundational computer vision techniques to harness their full potential and advance capabilities for future needs.

We are actively seeking three PhD candidates passionate about generative neural networks, simulation, and training large foundational models. This role is crucial in refining our data assets to maximize value. Leveraging our sensor data, applying generative neural networks with cutting-edge machine learning techniques such as self-supervised learning can identify complex patterns and nuances, enabling more intelligent, data-driven decision-making.

You will collaborate with renowned research organizations in the United States and Germany, pushing the boundaries of what current sensors and algorithms can achieve, participate in international conferences, and publish your work.

Minimum Skills Required:

• Completion or near-completion of a Master's degree with high honors in a 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 language like Python or C++
• Familiarity with Linux
• Ability to think proactively and work independently
• Experience with deep learning frameworks such as TensorFlow or PyTorch

Nice to Have:

• Knowledge of object detection, tracking, reinforcement learning, or generative networks
• Experience with ROS

Bonus Points:

• Experience with cloud computing services like Slurm, AWS, or Azure
• Published work in conferences such as CVPR, ICML, ECCV, ICCV, or Siggraph
• Experience with optimization methods
• Familiarity with sensors like LiDAR, RADAR, or cameras

Please include your university transcripts (Studiennachweise, Zeugnisse) with your resume.

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 all the listed qualifications, we encourage you to apply.