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programming (particularly Python) and modern machine learning frameworks (e.g., PyTorch, TensorFlow). An interest in AI security, trustworthy ML, or the reliability of ML systems in safety-critical settings
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in Python, C++, MATLAB/Simulink, ROS, Gazebo or other simulation and robotics frameworks. Experience with CAD/CAE, CFD, digital twins, embedded systems or experimental data analysis is an asset
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categorical framework. Candidate Profile We are looking for a highly motivated candidate within the fields of mathematics or mathematical physics. The successful candidate will have a solid background in
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public organisations, and the Innovation, Knowledge and Economic dynamics Group (IKE), which examines knowledge creation and innovation as processes of interactive learning within systemic frameworks
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frameworks. Further, it would be advantageous for applicants to demonstrate proficiency in at least one scientific programming environment such as Python, MATLAB, or R. A good understanding of hydrodynamic
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controlling electrochemical interfaces across scales. Computational PhD position: You will develop an AI-enhanced multiscale modelling framework combining density functional theory, ab initio molecular dynamics
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of the application, applicants are expected to outline a project description (min. 5 pages, as mentioned below) in which the applicant suggests the framework for such a project, pointing out, for
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of the application, applicants are expected to outline a project description (min. 5 pages, as mentioned below) in which the applicant suggests the framework for such a project, pointing out, for
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well as capturing their fine-grained details. This approach must be supplemented with the micro-phenomenological method developed by Claire Petitmengin. The overarching theoretical framework is phenomenological
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full-time study within the framework of the regular PhD programme (5+3 scheme), if you already have an education equivalent to a relevant Danish master’s degree. Getting into a position on the regular