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Employer
- Chalmers University of Technology
- Delft University of Technology (TU Delft)
- King Abdullah University of Science and Technology
- Lodz University of Technology
- Max Planck Institute for the Science of Light, Erlangen
- Max-Planck-Institut für die Physik des Lichts
- NEW YORK UNIVERSITY ABU DHABI
- University of Amsterdam (UvA)
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Field
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using, for example, Python, MATLAB, or LabVIEW. Experience with numerical modelling of nonlinear or integrated photonic systems. Experience supervising Bachelor’s or Master’s students. Experience in
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. Experience with scientific programming, experimental automation, and data analysis using, for example, Python, MATLAB, or LabVIEW. Experience with numerical modelling of nonlinear or integrated photonic
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of the profile of the unit announcing the competition: Division of Dynamics is a leading unit in Lodz University of Technology working on mechanical engineering problems including nonlinear systems
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Research Engineer or Postdoctoral Researcher (m/f/d) in the field of Engineering Physics or Material
journals and at conferences Your profile Experience with working in a cleanroom environment is an advantage, as is experience in fibre optics, handling of process gases, glass processing, and control
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, including nonlinear optics, quantum optics, nanophotonics, photonic crystal fibres, optomechanics, quantum technologies, biophysics, and links between physics and medicine. We invite applications for a
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goals and our industrial partner's milestones. Design and execute rigorous experiments on: Bulk and interfacial rheology Nonlinear viscoelastic behavior Extensional and shear flow dynamics relevant
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the goal to obtain more in-depth process understanding and develop automated control strategies for single cell microbial suspension cultures. Currently, the team is working on liquid- and gas-phase
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such boards through our spin-off OpticsFoundry . Join us to push this technology to the next level in a collaboration with the Nonlinear Nanophotonics group of UTwente. You will expand our robotic
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motivation to enhance our multidisciplinary research at the intersection of control theory and machine intelligence. Methodologies of interest include: Robot modelling, Nonlinear and Optimal control