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Where you belong: Where you belong: ...

As a PhD candidate with us, you will conduct intensive research on future satellite-to-vehicle communication solutions based on innovative 6G networks....

• Manage the full lifecycle of IT projects from initiation through hypercare and handover to operations.
• Ensure delivery on scope, time, budget, and quality, with clear success criteria and milestones.

In this PhD project, you will explore new approaches for creating the next generation of efficient autonomous decision-making systems....

• Ownership and evolution of Cypress + TypeScript E2E automation framework
• Integration of automated test suites into CI/CD pipelines
• Research and implementation of load and performance testing strategies
• Application of AI-assisted tools for test generation and failure triage

• Collaborate with finance, process, and IT teams to convert requirements into practical technical designs.
• Lead service management and project rollouts solutioning of business requirements, from solution design to implementation, while analyzing complex changes and troubleshooting issues.

• Design and develop internal tools for R&D users
• Build user-friendly interfaces (web and desktop) for searching, entering, reviewing, visualizing, and managing complex technical data

• Act as the technical lead for SAP Ariba rollouts and enhancements
• Review initial requirements against current business processes to identify gaps or opportunities for improvement
• Provide advice on integration implementation approaches and their implications,

• Requirement Management and definition.
• Ensure technical compliance
• Maintain backlog and roadmap
• Collaboration with Product Management and Development Teams
• Ensure regular reporting wrt. Status and progress

• Designing and implementing end-to-end data flows from device data ingestion through transformation, storage and consumption
• Defining data models, structures and lifecycle concepts to ensure data quality, consistency and lineage

• Make optimization runs fast enough that customers iterate in minutes, not hours — across problems an order of magnitude larger than today
• Build the data backbone: ingest SAP/ERP exports, Excel reality, and operator knowledge into a clean, versioned, traceable model layer