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must have sufficient knowledge of scientific programming languages and tools (Fortran, parallelization, I/O, numerical methods, etc). Knowledge of usage of modern heterogeneous architectures (including
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-scale simulation tools for quantum transport, spin dynamics and emergent computing in low-dimensional materials, in close contact with experimental and industrial partners. The position is funded by
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/Project : The TCN group is launching an activity on marrying Artificial Intelligence with its activities and numerical tools to access charge transport information in complex (disordered) van der
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polarization for analog memory and spike-based computing. The researcher will work in a multidisciplinary environment combining thin-film growth, AFM/KPFM, electrical characterization, nanostructuration
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( https://cataloniaquantum.eu/ ) and the Master in Quantum Science and Technology ( https://quantummasterbarcelona.eu/ ). These initiatives contribute to a dynamic ecosystem that fosters talent attraction
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. · Experience with laboratory instrumentation and data acquisition systems. · Programming skills in Python, MATLAB, LabVIEW, or similar scientific computing environments. · Good level of English
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2021. Its activities mainly revolve around the study of thermal properties of disordered and nanoscale materials, with special focus on the ultrathin film limit and low-dimensional solids. (https
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characterisation using techniques such as microscopy, profilometry, electrical resistance measurements, adhesion testing, and related quality-control methods. The candidate will contribute to the
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website and include the following: A cover letter. A full CV including contact details. Reference letters or referee contacts . Deadline for applications: 10/20/2026 Characterization Methods
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methods. Proven experience in designing and conducting in-situ TEM experiments. Familiarity with energy-related nanomaterials and catalysis is highly desirable. · Professional Experience: Previous