14 beste Stellen als human resource in stuttgart, bw – aktuell auf Personalsuche

PhD Thesis - Scalable and explainable End2End Driving Model (SEED)
Bosch Group —Leonberg
- Vollzeit
- Doktorat
- Informatik
- Master
Direkt bewerben
English Holiday Camp Counselors (m/f/d) Ludwigsburg
Oskar lernt Englisch GmbH —Ludwigsburg
- 5,50 € – 6,25 € pro Woche
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Mgr-Housekeeping (m/f/d)
Marriott International, Inc —Sindelfingen
- Vollzeit
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8 Tage
PhD - Scalable and Efficient Reinforcement Learning Methods for Physical AI (f/m/div.)
Bosch Group —Renningen
- Vollzeit
- Hybrides Arbeiten
- 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
PhD - Safety Contracts for Physical AI
Bosch Group —Renningen
- Vollzeit
- Hybrides Arbeiten
- Doktorat
- Master
- Künstliche Intelligenz
Direkt bewerben
14 Std.
English & Film Holiday Camp Counselors (m/f/d) Ludwigsburg
Oskar lernt Englisch GmbH —Ludwigsburg
- 8,50 € – 9,25 € pro Woche
- Teilzeit
- Englisch
- Unterrichten
Direkt bewerben
Military Construction (MILCON) Telecom Engineer - RCDD Certified
CeLeen LLC —Stuttgart
- Homeoffice
- Microsoft Powerpoint
- Microsoft Word
- AutoCAD
- Employee Assistance Program
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Electronic Security System (ESS) Engineer
CeLeen LLC —Stuttgart
- Homeoffice
- Microsoft Powerpoint
- Microsoft Word
- AutoCAD
- Employee Assistance Program
Direkt bewerben
Duales Studium International Business – in Kooperation mit der DHBW Stuttgart
SIXT Germany —Stuttgart
- Englisch
- Hochschulreife
- Künstliche Intelligenz
Direkt bewerben
Embedded Software Engineer (m/f/d) AI & Rapid Prototyping
Thales —Ditzingen
- Vollzeit
- Informatik
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- C++
Tech Lead for AI Feature Development in Cloud‑Based Industrial AI and Software Applications (f/m/div.)
Bosch Group —Renningen
- Vollzeit
- Hybrides Arbeiten
- Informatik
- Forschungserfahrung
- Künstliche Intelligenz
Direkt bewerben
Tech Lead Software Engineering for Cloud-based Industrial AI and Software Applications (f/m/div.)
Bosch Group —Renningen
- Vollzeit
- Hybrides Arbeiten
- Künstliche Intelligenz
Direkt bewerben
Cyber-Security Software Engineer for Automated Mobile Machinery (f/m/div.)
Rexroth —Schwieberdingen
- Vollzeit
- Informatik
- C++
- Softwareentwicklung
Direkt bewerben
3 Tage

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human resource jobs near stuttgart, bw

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

human resource Jobs in stuttgart, bw

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

English Holiday Camp Counselors (m/f/d) Ludwigsburg

Mgr-Housekeeping (m/f/d)

PhD - Scalable and Efficient Reinforcement Learning Methods for Physical AI (f/m/div.)

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

PhD - Safety Contracts for Physical AI

English & Film Holiday Camp Counselors (m/f/d) Ludwigsburg

Military Construction (MILCON) Telecom Engineer - RCDD Certified

Electronic Security System (ESS) Engineer

Duales Studium International Business – in Kooperation mit der DHBW Stuttgart

Embedded Software Engineer (m/f/d) AI & Rapid Prototyping

Tech Lead for AI Feature Development in Cloud‑Based Industrial AI and Software Applications (f/m/div.)

Tech Lead Software Engineering for Cloud-based Industrial AI and Software Applications (f/m/div.)

Cyber-Security Software Engineer for Automated Mobile Machinery (f/m/div.)

Ich möchte aktuelle Job-E-Mails für Stellen als human resource in stuttgart, bw erhalten

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