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At the Technical Faculty of IT and Design, Department of Electronic Systems, one or more PhD stipends/Integrated PhD stipends in representation, compression, learning, and inference for classical
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, compression, learning, and inference for classical and quantum data exchanged through classical and quantum networks. The objective of the PhD study is to explore and address research and design challenges
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discussions. We strive to foster a friendly and supportive working environment, believing that this is the best way to ensure world class scientific results. Please see CNAP webpage for a video of PhD life
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systems use cameras and sensors to objectively and efficiently monitor fishing activities. Currently, video footage from these systems is manually reviewed—a time-consuming process that poses a significant
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that can provide a letter of reference. A brief video (or link to video) of max. 2 minutes introducing yourself. You may apply prior to obtaining your master's degree but cannot begin before having received
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include: A letter motivating the application (cover letter) Curriculum vitae Grade transcripts and BSc/MSc diploma (in English) including official description of grading scale Short video (1-2 minutes
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doubts about the quality of the code produced. If you want to investigate the effect that adoption of GenAI has on software development, as well as building tools for mitigating the risks, verifying
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interdisciplinary collaboration • Excellent written and oral communication skills in English • Experience with register-based research and coding/statistical analyses is an advantage It will be considered
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also be able to demonstrate excellent ability to code with or learn computer programming languages, such as C++, C#, Python, and/or Matlab. A desire to engage in cross-disciplinary research
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methods such as optimization, filtering algorithms, predictors, etc. Software and coding skills with, e.g., Python, MATLAB, R, C++, Julia, potentially HIL. Excellent command of English in speech and writing