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. You will also spend 3 months at Georgia Tech/Emory University (USA), working on machine learning and data benchmarking. Work description The selected PhD student will be responsible for the full
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complex materials simulations. These agents will assist with setting up, executing, and optimizing electronic structure workflows, from standard ground-state Density Functional Theory (DFT) calculations
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/ TensorFlow / Scikit Learn Highly knowledgeable in mathematical and statistical concepts Solid foundation in mathematics for Machine Learning (Linear Algebra, Probability, Optimization). Proficient in English
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engineering, or a closely related field by the time of enrolment. The successful candidate should demonstrate the following qualifications and competences: A solid academic foundation in data analysis, machine
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characterising and manipulating the electronic structures of solid-state materials, to tackle the significant and diverse challenges facing society as we transition away from technologies reliant on fossil-fuels
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candidate will join the Quantum Optoelectronics group @POLIMA and investigate the theoretical and experimental realization of an all solid-state nanophotonic device. The initial part of the project will
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dedicated, capable of working independently and in cooperation with a PhD supervisor Have good interpersonal skills, be interested in engaging with national and international researchers. Have solid knowledge
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of classical and quantum optics, in combination with solid-state physics. The candidate will collaborate with a strong theory team within POLIMA, to enable a complete description and practical realization
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are explored, Microbes and Element cycles; Deep-sea research, Co-evolution of Life and Earth, Oxygen, Greenhouse gases and climate, Sustainability and biotechnology: How microorganisms interact with