Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Employer
-
Field
-
strong understanding of computer hardware or VLSI design. The selected candidates will contribute to the development of: A Physical-to-Electrical Abstraction and Modeling Engine A Circuit-Level Abstraction
-
: Translate ML-based error-correction / DPD algorithms into hardware-friendly forms (model reduction, sparsity, quantization, fixed-point design). Design the architecture and RTL of a low-power accelerator that
-
design next-generation computer architectures for running large AI models on embedded and edge systems under strict timing, energy, and memory constraints. You’ll explore hardware-aware optimization and co
-
daily with researchers at Toyota Motor Europe and the Toyota Research Institute, and co-supervise PhD students within the VISLab . Tasks and responsibilities: designing and developing compositional robot
-
algorithmic developments relevant to the generation of Lvl1 (physical observable) and Lvl2 (geophysical quantity) data products. For remote sensing, design and validation of on-board processing functions
-
. Specifically, your research will provide critical insight for NGGM performance assessment and predictions. You are encouraged to visit the ESA website: https://www.esa.int/ Field(s) of activity/research
-
of Robotics, Life and Physical Sciences Instrumentation, Optics and Opto-Electronics. One of the Sections of this Division, the Robotics Section, is the focal point in ESA for matters relating to the design
-
aperture synthesis) and testing (calibration and performance verification). You are encouraged to visit the ESA website: http://www.esa.int Field(s) of activity/research for the traineeship As a trainee, you
-
without compromising energy budgets. Treating security as a first-class citizen when designing hardware components and future computer architectures requires novel design methodologies that enable explicit
-
website: http://www.esa.int Field(s) of activity/research for the traineeship Under the coordination of the Vega-E Liquid Propulsion Module Product Manager, in support of current developments of the Vega-E