Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Employer
-
Field
-
Description Are you curious how Deep Learning and Online Learning can be effectively combined to create new learning paradigms? Job description Online learning algorithms achieve robustness often at the expense
-
, which options become visible, and how agency is distributed between humans and algorithmic systems. In this PhD project, you will study AI-supported decision-making from a representational perspective
-
of platform data handling and payload data processing equipment; the implementation, inference, verification and validation of algorithms** on data processing hardware platforms for space applications** in
-
manufacturing machines and advanced mechatronic systems, rely on ultra-reliable, low-latency, and deterministic communication between distributed sensors, controllers, and actuators. Ensuring such performance
-
on the optimisation of the data architecture to enable the efficient use of artificial intelligence and machine learning. Duties These positions combine EO domain knowledge (EO instruments, EO data, EO algorithms
-
. This includes modelling, data analysis and algorithmic development, as well as experimental validation of models and algorithms. It contributes to the performance assessment of space missions. More specifically
-
synergy approach, fully leveraging on cloud computing environments, the integration of non-EO data sources and cutting-edge digital technologies, as well as pursuing open-source algorithms and tools
-
receivers, algorithms, OD&TS, formation-flying and RF/optical metrology. Duties You will report to the Head of the Navigation Systems Definition Section and, in the technical fields above, your main tasks and
-
-house and external scientific studies for mission development and implementation, geophysical algorithm development and related research activities; organising mission-specific science workshops and
-
unpredictable, standard foundation models often output overconfident, flawed embeddings when faced with unprecedented climate anomalies. To solve this, you will also develop rigorous Out-of-Distribution (OOD