Engineering Doctorate (EngD) Programs in Data, Software & Systems Design
Core
A two-year, full-time, paid post-master's program leading to an Engineering Doctorate (EngD) degree, bridging academia and industry through interdisciplinary design projects and real-world challenges.
Role type
Engineering Doctorate (EngD) trainee
Builds
Large-scale interdisciplinary design projects in collaboration with industrial partners and research consortia
Domain
High-tech industry, data science, software technology, automotive systems, and mechatronics
Deliverable
production ML models | product features | infrastructure
Required skills
Design and develop scalable machine learning and AI solutions, collect and analyze complex datasets, deploy data products using MLOps, system architecture for software-intensive systems, hardware and software integration, system-level thinking, independent project execution
Preferred skills
Strong academic performance, ability to translate knowledge into practical solutions, affinity with industrial innovation, proactive and independent attitude
Technologies
Machine learning, AI, data engineering, MLOps, software architecture, robotics, automation, smart mobility
Responsibilities
Execute large projects in close collaboration with companies or public-sector organizations, design and deploy AI-enabled solutions for complex real-world challenges, work on multidisciplinary projects in domains like manufacturing, logistics, and healthcare, collaborate across disciplines to address complex design challenges
Seniority
Master's graduate level, entry-level professional training