Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Field
-
Vacancies PhD Position: Advancing Kinematic Couplings for Precision Alignment Applications Key takeaways The challenge This PhD research focuses on the advanced design and analysis of kinematic
-
. The focus will be on designing reproducible techniques for identifying dependency structures, validating these methods through large-scale experimentation, and evaluating how well DNS configurations align
-
assess its performance, techno-economic feasibility, and environmental and social impact. The project aligns closely with the European Green Deal and supports strategic autonomy by fostering collaboration
-
logistics networks. The research will focus on addressing challenges like efficiency, sustainability, scalability, data sovereignty, and alignment of subsystems. 2. Machine Learning for Collaborative
-
; Supervising PhD candidates and postdoctoral researchers; Contributing to the development and coordination of our educational programs by teaching 2–3 courses aligned with your expertise; Supervising Bachelor’s
-
workstreams, and the PhD’s will be working along senior staff to perform tasks in different workstreams, in strong collaboration with multiple international partners and fellow PhDs from all over the world. Key
-
across infrastructure networks, studying how infrastructure administrators handle uncertainty and complexity across multiple organisational levels when managing their infrastructure assets. The candidate
-
combine multiple techniques, picking those that complement each other. In particular the use of non-destructive techniques is important, avoiding unintentional sample modifications. Although such “hybrid
-
for the purpose of engaging a broader range of actors in critical reflection on future scenarios embedded in their local context. Your research methodology will be developed in the context of multiple research
-
in the Power Electronics Group at UT and collaborate with experts from Seine Batteriesysteme, NRG2Fly, and multiple airports. The project also supports open-source developments in MW-charging protocols