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: PhD degree in physics. Experience in experimental research on superfluids. Mastering of micro and nanofabrication techniques. Knowledge of optomechanical and nuclear magnetic resonance techniques is
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to take part in the supervision of PhD students and the teaching activities of the research group. Your network and team Currently, our research group consists of 1 professor, 1 lecturer, 1 staff scientist
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an advantage. We expect the candidates to have: Completed a PhD degree in a field complementary to the goals of QDOC. The candidate must show evidence of good written and oral communication skills in English
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, cleanroom fabrication, performing cryogenic microwave measurements, and data analysis. You are expected to participate in advising and mentoring PhD students. Your experience and ambitions
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We expect you to have a PhD (or equivalent) degree in mathematics, a strong research background in analysis with emphasis on areas supporting one or several of the research topics above, and motivation
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of the atomic layer deposition tools. Qualifications: PhD in one of the following broader experimental areas: physics, chemistry, materials science Experience with thin film deposition using atomic layer
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structures unavailable elsewhere. Your role and goals The successful candidate is expected to lead the experimental effort with a team of PhD and master’s students and collaborate closely with theorists in
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. Qualifications: PhD in one of the following broader experimental areas: physics, chemistry, materials science Experience with thin film deposition using atomic layer deposition is required Experience with surface
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Postdoctoral Researcher in ML for Dynamical Systems Representation, Prediction, and State-estimation
. Scientific Environment The Nonlinear Systems and Control group (https://www.aalto.fi/en/department-of-electrical-engineering-and-automation/nonlinear-systems-and-control ) in the School of Electrical
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Postdoctoral Researcher in ML for Dynamical Systems Representation, Prediction, and State-estimation
Control group (https://www.aalto.fi/en/department-of-electrical-engineering-and-automation/nonlinear-systems-and-control ) in the School of Electrical Engineering at Aalto University explores synergies