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Field
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, you will explore how data-driven models capturing the state-of-health and degradation can be integrated in the battery model. You will develop these machine learning-based proxies together with a
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stakeholders. You are able to: Explore insights from various disciplines; Show readiness to learn new skills and methods as the project evolves, adapting to challenges with resilience and creativity; Demonstrate
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learning environments based on pedagogies that promote justice and fairness. To address this need, the Centre for Learning and Teaching (CLT) is offering a fully funded, 4-year PhD. The selected candidate
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geospatial workflows on an abstract level, using purpose-driven concepts and conceptual transformations; develop AI and machine learning based technology to automate the description and modeling of data
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percent of your work time, spread over the course of the appointment. Would you like to learn more about what it’s like to pursue a PhD at Radboud University? Visit our website about working as a PhD
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materials will be developed in Dutch and this project will comprise keeping in touch with Dutch-speaking stakeholders. You are able to: Explore insights from various disciplines; Show readiness to learn new
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, machine learning, and programming (preferably Python) is highly valued. Effective communication with clinicians and interdisciplinary researchers is crucial, and excellent proficiency in English is required
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these machine learning-based proxies together with a postdoctoral researcher working in this project (see below), leveraging data from experiments in our project. Third, you will explore how local connection
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are motivated by a deep scientific curiosity, have excellent experimental and quantitative skills and possess a drive to learn and to develop new methods and concepts. PLEASE NOTE: The applications will be
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and help supervise BSc and/or MSc students during their internships with us (10% of your working time). Would you like to learn more about what it’s like to pursue a PhD at Radboud University? Visit