10 phd-studenship-in-computer-vision-and-machine-learning Postdoctoral positions at European Space Agency
-
learning with a background in robust and embedded control, aerospace systems and physical modelling, as well as in artificial intelligence-related concepts, computer vision and numerical optimisation
-
assessment. You will be provided with access to various engineering and computation toolsets along with the high-performance computer. A good background in numerical methods and computational platforms is
-
records from satellite data, and/or improved methods of uncertainty characterisation, including the use of artificial intelligence and machine learning to improve or analyse satellite climate data records
-
applications* in close collaboration with other discipline experts (software, microelectronics and applications engineers). * except for RF payloads. ** including artificial intelligence and machine learning
-
Location ESAC, Villanueva de la Cañada, Spain or ESTEC, Noordwijk, Netherlands or STScI, Baltimore, USA. The opportunity ESA's postdoctoral Research Fellowship programme offers early-career
-
relevant information General interest in space and space research Behavioural competencies Education You should have recently completed, or be close to completion of a PhD in cyber security, computer
-
for this position, the following is required: PhD in systems engineering, computer science or informatics, and the subject of the thesis should be relevant to the task description provided above (e.g. digital twin
-
of concept and related tests in the laboratory facilities and possibly the ESA Space High Performance Computer facility to assess technologies developed; providing AI expertise for the development of AI
-
close to completion of a PhD in a related technical or scientific discipline. Preference will be given to applications submitted by candidates within five years of receiving their PhD. In particular
-
Behavioural competencies Education You should have recently completed, or be close to completion of a PhD in a related technical or scientific discipline. Preference will be given to applications submitted