Saltar al contenido principal

Bosch

Engineering & Manufacturing

PhD - End-to-End Trainable System for Autonomous Driving with Introspection

  • Tiempo completo
  • Experiencia no indicada
  • Renningen
Salario no indicado en el anuncioPuedes pedirla: la Directiva UE 2023/970 prevé que la banda se comunique antes de la entrevista.

Cuánto paga este puesto en otros sitios

Investigación, nivel intermedio

Inicia sesión para verlo

Mira cómo se paga este tipo de puesto, a partir de 40 salarios publicados en anuncios similares: 2 países.

Inicia sesión Gratis para estudiantes; para empresas, incluido en los planes de pago.

Sobre el puesto

At Bosch, we shape the future by inventing high-quality technologies and services that spark enthusiasm and enrich people’s lives. Our promise to our associates is rock-solid: we grow together, we enjoy our work, and we inspire each other. Join in and feel the difference. The Robert Bosch GmbH is looking forward to your application! The current state of the art in autonomous driving (AD), represented by Vision-Language-Action (VLA) models, has enabled vehicles to link perception with action in a more data-efficient way than classical End-to-End systems. Still, we are reaching the limits of VLAs: short-sightedness due to a lack of long-term prediction capabilities, no physical consistency, and limited coverage of long-tail scenarios. Therefore, another paradigm shift is required. The aim of this research is to investigate the next generation of AD systems by moving from reactive VLA to predictive, agentic world models. The core thesis is that "imagination before action" is essential for safe and scalable autonomy. As part of our team, you will develop a framework for integrating VLA, world models, and agentic planners into a cohesive driving system. Furthermore, you will demonstrate improved performance in long-term prediction, edge-case handling, and verifiable safety through proactive simulation. You will drive disruptive change in how data is prepared and large systems are trained more efficiently by focusing on unexpected scenarios. Last but not least, you will contribute to the fundamental shift in the AD field from reactive control to imagination-based, agentic action, paving the way for more capable and trustworthy autonomous systems. Education:  excellent university degree (Master's or equivalent) in Computer Science, Robotics, Electrical Engineering, Mathematics, or a related field Experience and Knowledge: profound knowledge of machine learning algorithms and principles, preferably deep learning; proven programming skills in Python and C++ Personality and Working Practice: you are an open-minded team player who approaches challenges with a goal-oriented and logical mindset Languages : fluent in English (written and spoken), German is a plus — Published by Bosch. Apply on the employer's own posting.
Contrato
Tiempo completo
Ubicación
Renningen, Alemania
Publicado
30/10/2026

Competencias

  • machine learning
  • deep learning
  • simulation
  • research
  • python
  • c++

Herramientas

  • spark

Habilidades blandas

  • team player
  • autonomy

Idiomas

  • English

La empresa

Bosch

Engineering & Manufacturing

  • 116 puestos abiertos aquí ahora
  • 969 anuncios desde agosto de 2026
Candidatura en la web

Completarás tu candidatura en jobs.smartrecruiters.com