13 beste Stellen als python in pforzheim – aktuell auf Personalsuche

PhD Thesis - Scalable and explainable End2End Driving Model (SEED)
Bosch Group —Leonberg
- Vollzeit
- Doktorat
- Informatik
- Master
Direkt bewerben
PhD - Cross-Domain Hyperspectral Anomaly Detection for Manufacturing (f/m/div.)
Bosch Group —Renningen
- Vollzeit
- Hybrides Arbeiten
- Doktorat
- Informatik
- Forschungserfahrung
Direkt bewerben
Internship in ADAS Product Lifecycle Management and RPP
Bosch Group —Renningen
- Teilzeit
- Microsoft Excel
- C++
- Projektmanagement
Direkt bewerben
Praktikum Connect & Infotainment Systems Engineering
Dr. Ing. h.c. F. Porsche AG —Weissach
- Datenanalyse
- Englisch
- Microsoft Office
- Flexible Arbeitszeiten
Site Reliability Engineer (m/f/x)
Tipico Technology Services GmbH —Karlsruhe
- Vollzeit
- Hybrides Arbeiten
- Informatik
- Java
- Master
Senior Linux DevOps Engineer (w/m/d)
dmTECH GmbH —Karlsruhe
- Vollzeit
- Informatik
- DevOps
- Java
- Mitarbeiter-Rabatt
- Weiterbildungsprogramme
IT System Architekt Linux (w/m/d)
Bechtle —Weissach
- Informatik
- Linux
- Python
Praktikum Over-the-Air-Funktionen & Connect-Komponenten
Dr. Ing. h.c. F. Porsche AG —Weissach
- Microsoft Powerpoint
- Microsoft Excel
- Englisch
Promotion - CFD Simulation und Modellierung von Laserbearbeitungsprozessen
Bosch Group —Renningen
- Online-Bewerbung
- Doktorat
- Englisch
- Microsoft Office
Masterarbeit Diagnosedatenintegration in modernen Fahrzeugdiagnosesystemen
Dr. Ing. h.c. F. Porsche AG —Weissach
- Englisch
- Java
- C++
- Aufstiegsmöglichkeiten
Cloud Data & MLOps Senior Engineer (m/w/d)
prenode GmbH —Karlsruhe
- Vollzeit
- Azure
- AWS
- Machine Learning
- Weiterbildungsprogramme
- Flexible Arbeitszeiten
Direkt bewerben
Praktikum datengetriebene Prüfstandsteuerung & KI-gestützte Bedarfsprognose
Dr. Ing. h.c. F. Porsche AG —Weissach
- Datenanalyse
- Englisch
- Praktikum
- Flexible Arbeitszeiten
Cloud Administrator (Microsoft Azure) (m/w/d)
VR-Payment GmbH —Ettlingen
- Vollzeit
- Azure
- Englisch
- Python
- Gleitzeit
- Weiterbildungsprogramme
Direkt bewerben

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PhD - Cross-Domain Hyperspectral Anomaly Detection for Manufacturing (f/m/div.)
Bosch Group —Renningen
You will develop and evaluate advanced machine learning methods for hyperspectral anomaly detection, leveraging self‑supervised representation learning as well…
Direkt bewerben

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PhD Thesis - Scalable and explainable End2End Driving Model (SEED)

Bosch Group -
Leonberg

Direkt bewerben

Details zur Stelle

Vollzeit

Qualifikationen

TensorFlow
Doktorat
Informatik
Spark
Master
Machine Learning
Deep learning
Elektrotechnik
Künstliche Intelligenz
Python

Vollständige Stellenbeschreibung

Company Description

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. Welcome to Bosch.

The Robert Bosch GmbH is looking forward to your application!

Job Description

Automated driving is one of the most significant technological challenges of our time. While traditional autonomous systems rely on modular pipelines, the industry is shifting toward end-to-end learning - a paradigm that scales massively but often acts as a "black box." We are seeking an excellent PhD candidate to bridge this gap. Your goal is to be the architect of a next-generation, modular, and scalable end-to-end driving model. You will explore how to join the benefits of two competing paradigms: the data-driven power of unified models and the safety-critical explainability of decomposed pipelines. This position offers a unique bridge between academic excellence and industrial application: alongside publishing your research at top-tier venues, you will have the opportunity to see your contributions integrated into the next generation of real-world ADAS products.

Your contribution to the future of driving:

Master the State-of-the-Art: As part of your role you conduct a deep-dive analysis of current breakthroughs in end-to-end autonomous driving. You will investigate how to exploit large-scale datasets without relying on labeled data for every sub-task, identifying the next frontier of innovation.
Innovate and Develop: Furthermore, you will design and implement novel deep neural network architectures that prioritize both high-performance scaling and human-interpretable explainability.
Experiment and Validate: Through rigorous experiments on public benchmarks and our massive, Bosch-owned autonomous driving datasets, you will validate the performance and reliability of your models.
From Lab to Road: In close collaboration with expert project teams in deep learning and computer vision, you will brainstorm new ideas and have the unique opportunity to deploy your software on hardware, validating your research on real automotive driving systems.
Share Your Success: We support your academic growth. You will publish your findings and research outcomes at top-tier computer vision and machine learning journals and conferences.

Qualifications

Education: Master degree in Electrical Engineering, Computer Science or similar with excellent grades
Experience and Knowledge: detailed knowledge on computer vision, 3D vision, machine learning, deep learning, artificial intelligence (Transformer, Sparse and BEV Queries) and experience with dedicated development tools (TensorFlow, PyTorch, Python)
Personality and Working Practice: you show high level of enthusiasm; you are creative and work independent with excellent task-management; team spirit, assertiveness and persuasiveness are your strong characteristics
Enthusiasm: interest in conceptual work and method-based design
Languages: fluent in English and German written and spoken

Additional Information

www.bosch.com/research
https://www.bosch-mobility.com/de/

The final topic depends on your university.

Start: by prior agreement

Please submit all relevant documents (CV, certificates, and links to GitHub or kaggle account).

Diversity and inclusion are not just trends for us but are firmly anchored in our corporate culture. Therefore, we welcome all applications, regardless of gender, age, disability, religion, ethnic origin or sexual identity.

Need support during your application?
Sarah Schneck (Human Resources)
+49 711 811 433381

Need further information about the job?
Joel Janai (Functional Department)
+49 711 811 10566

Work #LikeABosch starts here: Apply now!

Direkt bewerben

Erweiterte Suche

python Jobs in pforzheim

PhD Thesis - Scalable and explainable End2End Driving Model (SEED)

PhD - Cross-Domain Hyperspectral Anomaly Detection for Manufacturing (f/m/div.)

Internship in ADAS Product Lifecycle Management and RPP

Praktikum Connect & Infotainment Systems Engineering

Site Reliability Engineer (m/f/x)

Senior Linux DevOps Engineer (w/m/d)

IT System Architekt Linux (w/m/d)

Praktikum Over-the-Air-Funktionen & Connect-Komponenten

Promotion - CFD Simulation und Modellierung von Laserbearbeitungsprozessen

Masterarbeit Diagnosedatenintegration in modernen Fahrzeugdiagnosesystemen

Cloud Data & MLOps Senior Engineer (m/w/d)

Praktikum datengetriebene Prüfstandsteuerung & KI-gestützte Bedarfsprognose

Cloud Administrator (Microsoft Azure) (m/w/d)

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