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, Earth Sciences, Physics, Engineering, or a related field Strong quantitative and analytical skills as well as programming skills (Python required; experience with seismic data processing is advantageous
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applying machine learning to PNT (Positioning, Navigation, and Timing) and geomonitoring challenges, including signal characterization and anomaly detection. Project background We are looking for a highly
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sensing systems Design and validate machine learning models for predictive monitoring of physiological states Analyse large experimental datasets and quantify sensor performance (accuracy, robustness
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researchers in their use. • Integrate multimodal datasets (activity, behavior, spatial transcriptomics, proteomics) into unified analytical frameworks. • Apply dimensionality reduction, clustering, latent-state
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foundations of conversational AI as well as domain knowledge on how and why it can be deployed effectively. You should have knowledge and skills in both data analytics (e.g., machine learning, statistics
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the possibility of extension. Job description You will be in charge of your own research You will take part in the professorship’s academic and social activities You will teach one course of your choice per
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a corresponding scientific publication record Strong communication, organizational, and analytical skills Proficiency in written and spoken English; German skills are a plus Workplace Workplace We
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1855, ETH Zurich today has more than 18,500 students from over 110 countries, including 4,000 doctoral students. About 500 professors currently teach and conduct research in engineering, architecture
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multiple tasks and priorities. Analytical mindset with the ability to track performance, interpret data, and improve processes. Experience working with CRM systems and managing pipelines is an advantage
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the guidance of your supervisors You must be willing to exchange with your fellow team members, support them, and learn from them. Non-traditional research topics, questions and methods are encouraged We also