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(lth.se). We invite applications for one to two PhD positions dedicated to developing methodologies for the automated analysis and design of first-order optimization algorithms. Such algorithms form
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students by the autumn, in addition to three faculty and two postdocs. Our group's research spans various facets of complexity theory, encompassing both combinatorial and logical perspectives. Key areas
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unwanted effects from so-called concomitant gradient fields. You will also develop software to facilitate experimental design. This includes numerical optimization of the instructions that control the MRI
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on interpretable, learning-based stochastic optimal control for over-actuated electric vehicles—vehicles with more actuators than degrees of freedom, which enable sophisticated control strategies but also increase
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to expand the department’s research competencies related to engineering AI-based systems by expertise in relevant areas, such as MLOps, quality assurance and evolution of AI-based systems, or optimizing
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advanced traffic simulators, including simulation of both car and bicycle traffic in realistic city environments. You will develop and optimize frameworks for simulation, which will be used in future
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electrical measurements For questions, please contact: Researcher Robert Rehammar QT lab, robert.rehammar@chalmers.se Optimization of CZ gates in a 25 Qubit device The Quantum Computing group is developing
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public procurement. This research addresses a broad set of topics including optimal taxation and public expenditure, income formation, household responses to taxation and other economic policies, social
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responsible for: • Seeking out colleagues who can best support discussions regarding the results • Identifying avenues for career support • Formulating, developing, and optimizing the channels of communication
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computational biology with a focus on developing new and scalable computational models (e.g. deep learning, machine learning, optimization or statistics) or integrating data-driven applications to address