25 parallel-processing-"International-PhD-Programme-(IPP)-Mainz" Postdoctoral positions at AALTO UNIVERSITY
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mechanical oscillators can be utilized for fundamental studies probing quantum mechanics in massive systems, as well as for applications in quantum information processing. The measurements are carried out
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address complex environmental challenges. About the Project The Adaptive Design for AI-Driven Processes in Transforming Dynamic Landscapes (ADAPT) project develops scalable, data-driven design methodologies
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Project The Adaptive Design for AI-Driven Processes in Transforming Dynamic Landscapes (ADAPT) project develops scalable, data-driven design methodologies that transform dynamic environmental processes
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interaction. Programming skills needed to do data analysis (we mainly use Python) You can be interested either in theoretical methods development or applications, or a bit of both Interest in working on a
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an extensive network of scientific contacts. This includes contacts to the Aalto startup scene and community. A way to be close to the research process while focusing on interesting computational problems and
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include some combination of the following, with flexibility depending on interests and experience: Design and simulation of III-V lasers and PIC architectures III-V (mainly GaAs) fabrication process
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computing, data science, or human-computer interaction. Programming skills needed to do data analysis (we mainly use Python) You can be interested either in theoretical methods development or applications
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(at)aalto.fi. In any question regarding the recruitment process, please contact HR Advisor Monika Mäkinen, hr-elec@aalto.fi . About Aalto University and Finland The Department of Electronics and Nanoengineering
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(firstname.lastname@aalto.fi ) For questions related to the application process: hr-arch@aalto.fi We will review applications as they arrive and may invite suitable candidates for interviews during the application
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first experiments of the future quantum-computer technology that is orders of magnitude more efficient than existing quantum processors. Join us in shaping the future! As a result of five ERC grants