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provide a performance or efficiency advantage, and determine scenarios where conventional AI accelerators (such as embedded GPUs or FPGA-based accelerators) remain more appropriate due to data
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five years of receiving their PhD. In particular for this position, the following is required: PhD in the fields of economics with a thesis subject relevant to the description of the tasks outlined
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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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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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by candidates within five years of receiving their PhD. In particular for this position, the following is required: PhD in engineering (space engineering in particular) and/or a PA discipline
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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 for this position
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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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discipline. Preference will be given to applications submitted by candidates within five years of receiving their PhD. In particular for this position, the following is required: PhD in control systems and/or machine
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research Behavioural competencies Education You must have completed and obtained your PhD before starting the Research Fellowship. Applications submitted by candidates within five years of receiving
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information General interest in space and space research Behavioural competencies Education You should have recently completed (within the past five years), or be close to completing a PhD in a relevant field