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, and machine-learned force fields to describe ion transport and interfacial evolution. These models will be extended to mesoscopic and continuum scales (kinetic Monte Carlo, phase-field) to capture
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, statistics, data science, and public health. The goal is to develop new methods that allow researchers to learn from sensitive health data without compromising individual privacy. Using unique, nationwide
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. Learn more about the department on our website and in our research portal . Your work tasks This PhD stipend will be affiliated with a research and innovation project focusing on health system innovation
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strengthen your profile but is not a requirement for the position. The core academic profile sought is within process engineering or a related discipline. You should have an interest in and motivation to learn
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innovation, knowledge sharing, and professional development. Learn more about AAU Energy at www.energy.aau.dk. How to apply Your application must include the following: Application, stating reasons
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conducted as engaged scholarship, where research findings are developed in close dialogue with practice and contribute to ongoing strategic conversations, reflection, and learning. The successful candidate
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project under supervision • Participate in the department’s research environment • Complete a PhD training programme • Teach at one or more of the department programmes Your main task as a PhD
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parties. Learn more about these initiatives at our Career Hub . The employment is in accordance with the Ministerial Order on the Appointment of Academic Staff at Universities (the Appointment Order) and
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to work independently and systematically, as well as skills for planning and administration of tasks and projects. You may not have such experience already but you should be prepared to learn fast