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Field
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/ Field(s) of activity/research for the traineeship In line with the TEC Vision for 2040, the theme of hypervelocity endeavours and innovative propulsion aims to prepare for next-generation flight vehicle
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learning, at the intersection of reinforcement learning, deep learning and computer vision, in order to train effective robotic agents in simulation. You should hold a relevant PhD/DPhil (or near completion
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. Motivated self-starter with the ability to work independently and to participate creatively in collaborative teams across the laboratory. Ability to function well in a fast-paced research environment, set
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. Required Qualifications Education: PhD or equivalent in demography, sociology, epidemiology, public health, or other health research-focused social science. Students currently enrolled in a doctoral program
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with a PhD in Human-Computer Interaction, Remote Sensing, Geo-Information Science, Cognitive Science, or a closely related field. The ideal applicant possesses a strong technical foundation, as
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set a course for the future – a future that you can help to shape. The Department of Political Science in the Faculty of Social Sciences is looking for a full-time (100%) postdoctoral researcher in
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-disciplinary analysis efforts, and shape a growing research program. The successful candidate will receive strong mentorship and autonomy to develop a scientific vision, build collaborations, and pursue high
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(model performance) and quality studies (human factors assessment). You should hold a relevant PhD/DPhil (or be near completion) in computer vision or robotics or biomedical image analysis. Knowledge
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related to your research area. Responsibilities and qualifications We seek to recruit a Postdoc with expertise in the emerging edge computing areas of Embedded AI, Edge AI, TinyML or AIoT. The position is
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qualification, you must hold a PhD degree (or equivalent) in computer science, computer engineering, or electrical engineering. Hardware design in a hardware description language such as Chisel, VDHL, or Verilog