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this position, your doctoral research will focus on developing AI-based and quantum-inspired methods for the modelling, optimization, and operation of sustainable energy systems. The main application
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). Expertise in the following areas is considered beneficial: scripting (Python, bash, etc.), high-performance programming (Fortran/C/C++, CUDA, etc.), ML libraries (sklearn, Pytorch, etc.). In your CV or
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design, clean-room techniques, simulations, data analysis, and instrument programming. Our group is doing research on circuits consisting of superconducting qubits and resonators - presently one of the
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optimization, adiabatic quantum computation, and quantum machine learning. Theoretical and applied research into the capabilities of quantum computing and quantum advantage is a key focus across four application
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advantage. Good data-analysis and programming skills (e.g., Python, MATLAB, or similar). A hands-on approach to experiments, patience in troubleshooting, good communication skills, and the ability to
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numerical skills especially in Matlab, Mathematica, Python or similar programming languages. Previous research experience with toolkits for quantum computing such as Qiskit, QuTiP, PennyLane, Quil, etc
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generative models. Programming skills suitable for modern machine learning research, preferably including Python and deep learning frameworks. Interest in one or more of the following areas: speech synthesis
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a competitive salary, starting at approximately 4220 EUR / month for a postdoctoral researcher. The contract includes comprehensive occupational health benefits. Application documents To apply, please
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collaborations with the previous fields. The Ph.D. should be no more than three years old at the date of application (disregarding parental leaves and similar career breaks). Current Ph.D. students
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technology. Join us! Please submit your application including the attachments mentioned below as one single PDF document in English through our online recruitment system by using the link on Aalto University’s