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to contribute your own research ideas and take part in supervising PhD students. About the research project The position, starting in the first half of 2026, will be based in the theory division of the Department
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with international partners in the FLAG-ERA project ThinQ. You will also have the opportunity to contribute your own research ideas and take part in supervising PhD students. About the research project
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PhD students in the Automation group, with the primary goal of qualifying for a future academic career. Contribute to research projects within discrete-event systems, supervisory control theory, and
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computational costs by orders of magnitude and enabling breakthroughs in drug design and materials science. The position bridges machine learning and molecular science, with opportunities for collaboration
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-fidelity qubits operations Design and implementantion of automatic calibration techniques for fast tune-up Implementation and benchmarking of quantum algorithms About you You have a relevant PhD deegree
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and design nanostructures tailored for aerospace applications. About us The Division of Engineering Materials explores the relationship between technologically important materials and their properties
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group. Main responsibilities Conduct research in collaboration with senior researchers and PhD students in the Automation group, with the primary goal of qualifying for a future academic career
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levels as well as supervising master's and/or PhD students to a certain extent. Another important aspect involves collaboration within academia and with society at large. The position is meritorious
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on the valorization of marine side streams, collaborating with leading academic and industrial partners across Europe to unlock the potential of underutilized marine biomass for sustainable material innovation
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is carried out in close collaboration with industry and academic partners. Main responsibilities Develop a research plan and design test configurations in collaboration with senior researchers. Perform