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computing and analog signal processing, targeting applications in the fields of communication, sensing, geolocalization, space and biomedical. This Ph.D. project will take place at DTU Electro. Apart from
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. This position is part of a strategic research collaboration between DTU and the Korea Advanced Institute of Science and Technology (KAIST), combining expertise in biomedical signal processing, neuroengineering
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and two companies. The project has partners from eight different EU countries. All 15 Ph.d. projects are within the overall theme of neuromorphic computing and analog signal processing, targeting
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of neuromorphic computing and analog signal processing, targeting applications in the fields of communication, sensing, geolocalization, space and biomedical. This Ph.D. project will take place at DTU Electro
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Job Description DTU Electro invites applications for a PhD position in digital signal processing and machine-learning-enabled continuous-variable quantum key distribution (CV-QKD). The position is
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motivated PhD student with a background in biomedical or pharmaceutical engineering, biomedical sciences or similar. You will work under the supervision of Assistant Professor Lisa Maria Riedmayr
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. students, and postdoctoral fellows of diverse nationalities, with backgrounds in chemistry, biochemistry, and engineering. We take pride in working as an inclusive team and we have a balanced gender
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behavioral neuroscience or signal processing (especially of bioacoustics data) Programming experience (e.g. Python, R, Matlab, etc.) Strong communication and collaborative skills and proficiency in spoken and
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English, both written and spoken. A curiosity-driven mindset and enthusiasm for developing and applying cutting-edge technologies to address biomedical questions. A proactive attitude towards learning and
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to applicants with high grades from their universities. To be considered the applicant must have a basic education at master's level (corresponding to the 3 + 2 Bologna process) have received the grade of 10