PhD – Generative Models for Closed-loop Synthesis

JR Germany; Renningen; Vor Ort; EUR 50.000 - 65.000; Vollzeit

Zusammenfassung

A leading company in mobility solutions and technology is seeking a PhD student to develop generative models to enhance AI training. The role involves collaboration with experts and aims for publication in top-tier journals. Flexible working conditions and a supportive environment are offered.

Leistungen

Flexible working hours

Wide range of health and sports activities

Intermediary service for childcare services

Employee discounts

Space for creative work

Social counseling and care services

Qualifikationen

• Strong background in deep learning and computer vision.
• Experience with frameworks like TensorFlow or PyTorch.

Aufgaben

• Develop novel deep generative models for AI training.
• Collaborate with experts at the Bosch Center for AI.

Kenntnisse

Deep Learning

Computer Vision

Python

English

Ausbildung

Excellent degree in Computer Science

Tools

TensorFlow

PyTorch

Jobbeschreibung

Social network you want to login/join with:

col-narrow-left

Client:

Location:

Job Category:

Other

-

EU work permit required:

Yes

col-narrow-right

Job Views:

1

Posted:

12.05.2025

Expiry Date:

26.06.2025

col-wide

Job Description:

Do you want beneficial technologies being shaped by your ideas? Whether in mobility solutions, consumer goods, industrial technology or energy and building technology - with us, you will have the chance to improve quality of life worldwide. Welcome to Bosch.

Robert Bosch GmbH is looking forward to your application!

We are conducting cutting-edge research on advanced generative models to enhance data efficiency in Bosch systems. We seek a PhD student passionate about exploring innovative applications of generative models (such as diffusion and autoregressive models) to simulate real-world scenarios for AI training and validation.

The development of AI models is often iterative, requiring large datasets to address rare cases not represented in existing data. Collecting real-world data can be costly and time-consuming, hindering automation of the data loop. This thesis aims to develop methodologies that enable generative models to replace real-world data, facilitating closed-loop interactions. This may involve designing control mechanisms for efficient data sampling and interaction response.

As part of our team, you will:

• Develop novel deep generative models (e.g., diffusion models) as data sources to enhance training and validation of downstream models.
• Collaborate with experts in deep learning and computer vision at the Bosch Center for AI to brainstorm and develop new ideas.
• Aim to publish in top-tier journals and conferences.
• Education: Excellent degree in Computer Science or related field focusing on Computer Vision and Deep Learning.
• Experience and Knowledge: Strong background in deep learning and computer vision, experience with frameworks like TensorFlow or PyTorch, strong Python programming skills, knowledge of deep generative modeling and foundation models is a plus, publication experience is beneficial.
• Enthusiasm: Motivation to work in an interdisciplinary and international team.
• Languages: Very good English skills and academic writing skills.
• Work-life balance: Flexible working hours, location, and work mode.
• Health & Sport: Wide range of health and sports activities.
• Childcare: Intermediary service for childcare services.
• Employee discounts: Discounts for employees.
• Room for creativity: Space for creative work.
• In-house social counseling and care services: Social counseling and intermediary services for care needs.

The recruitment contact or supervisor will provide information about the benefit plan.