12 parallel-and-distributed-computing-phd Postdoctoral positions at European Space Agency in Netherlands
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for this position, the following is required: PhD in a relevant field such as computer science, quantum physics, electronic engineering, data science, AI, machine learning, Earth system science, climate etc. with a
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”, connecting EO with a growing ecosystem of disruptive and transformative innovation, encompassing AI, ML, quantum computing, edge computing, metamaterials, photonics, etc. Many of the challenges posed by new
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for this position, the following is required: PhD in a relevant field such as data science, AI, computer science, machine learning, Earth system science, climate etc. with a thesis subject relevant to the description
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”, connecting EO with a growing ecosystem of disruptive and transformative innovation, encompassing AI, ML, quantum computing, edge computing, metamaterials, photonics, etc. Many of the challenges posed by new
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and processes) by shadowing as well as receiving coaching and tutoring from one of our Senior PA Engineers. You will perform this task in parallel to specific Mission Classification activities described
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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
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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
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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
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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
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learning for dynamical systems, system identification and control systems. This can involve co-tutoring of PhD students or early R&D cooperative studies. contributing to the development of advanced benchmark