Promotion | Impact of AI- & AAS-Driven approaches within engineering & operation of fluid factory (f/m/d)
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 31,900 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 are leading research in the Top Management Project of Next Gen Fluid System design and development through innovating a Data and AI driven development, tailoring, testing and operation in fluid factories. Therefore you identify, based on real application needs, the potential and weaknesses in current multi-criteria fluid system design, development & operation processes in order to optimize speed and massively reduce efforts (e.g. drawings, programming, bill of material, maintenance). Your tasks will include creating and implementing a solid Software and AI based Architecture foundation on a real fluid factory, focusing on possibilities and limitations of AAS and AI, corresponding software and data architecture, to solve identified industrial pain points. You hereby set the foundation for design, tailoring and successful installation of the first hydraulic learning factory worldwide (fully funded). Furthermore you will be part of university and industrial driven research projects (e.g. Fluid-AI) to support and win future international fluid university projects in all phases. The final Ph.D. topic is subject to the supervising university (already multiple options defined).
Qualifications
* Education: above-average completion of master’s/diploma studies in engineering, data science or a comparable qualification
* Experience and Knowledge: mechanical Engineering & Fluid-/System-Knowledge; Experience in AI & Data Science and Research (e.g. AAS, AI), Work experience (e.g. Hydraulic Branches), Scientific Knowledge Transfer Background a plus
* 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)
+49(9352)18-3719
Need further information about the job?
Maximilian Dommermuth (Functional Department)
+49(731)49373-209
You can also find more information about us at www.boschrexroth.de/karriere and on our social media channels, for example Instagram.
Move with us. Win together.