PhD in AAS-based, AI-driven process automation in Design / Engineering of Hydraulic Systems

PhD in AAS-based, AI-driven process automation in Design / Engineering of Hydraulic Systems

Lise-Meitner-Straße 2, 89081 Ulm, Germany

Full-time

Bosch Rexroth AG

Company Description

At Bosch Rexroth, everything revolves around movement and the success of our customers. With our networked drive and control technologies as well as digital solutions, their machines and systems work efficiently, safely and powerfully. We offer components, system solutions and services for mobile and industrial applications as well as for factory automation.

In all areas, we value the know-how and commitment of our employees and enable dynamic careers in an international environment.

Around 33,800 people in over 80 countries - and one corporate purpose : "We move industries to make our planet a better place."

Do you want to make a difference? Then we look forward to receiving your application to Bosch Rexroth AG.

Job Description

As a PhD (f / m / div.), you research in the field of next Gen fluid system design and development through innovating a Data and AI driven process design and automation for rapid and effective development, tailoring and implementation of hydraulic systems. Therefore you identify potential and weaknesses in current fluid technology design, technology, software and development processes within different customer use cases in order to optimize speed and massively reduce efforts (e.g. drawings, programming, bill of material).

Your tasks will include creating and implementing a solid Software and Architecture foundation, focus on development process performance that explores the possibilities and limitations of AAS and AI, corresponding software and data architecture.

One major use case will be the design and tailoring of didactic fluid systems. Furthermore you will be part of university and industrial driven research projects (e.g. Fluid-AI, Fluid 4.0) to support and win future international fluid university projects in all phases.

Qualifications

• Education : above-average completion of master’s / diploma studies in engineering, data science or a comparable qualification
• Experience and Knowledge : mechanical Engineering & Fluid - Knowledge; Experience in AI & Data Science and Research (e.g. AAS, AI), Work experience in Hydraulic Branches & development of Applications like Mining, Support and Application Knowledge of Engineering & Development of hydraulic Systems & environments, Knowledge & Experience in Data Analytics and applying AI within hydraulic systems
• Personality and Working Practice : Quick comprehension, high quality standards and initiative, open to international cooperation, committed, innovative, conceptual
• Languages : fluent in English and optional German

Additional Information

We offer flexible working models : from various part-time options to mobile working and job sharing. Feel free to contact us.

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?

Annika Leiher (Human Resources)

Need further information about the job?

Maximilian Dommermuth (Functional Department)

You can also find more information about us at and on our social media channels, for example Instagram.

Move with us. Win together.