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solution processable metal oxides (classical and complex), halide perovskites (Pb-free, 2D and 3D) and, more recently, 2D materials and MXenes. We aim at the development of highly stable solar cells
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processing methods. Highly motivated and enthusiastic researcher. Strong analytical skills and a keen interest in the interpretation of complex data. Excellent organization skills, time management and ability
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colloidal routes, enabling precise control over size, morphology, composition, and structural complexity. This role offers an unparalleled opportunity to lead the computational core of a cutting-edge
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Network for Innovation and Research Excellence (AuSpire) is a training program offering 28 Postdoctoral Fellowships focusing on Planetary Wellbeing and connecting Spanish and Australian research communities
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surrogates of electronic Hamiltonians. The postdoctoral researcher will develop graph neural networks based on the MACE architecture to predict Hamiltonian elements for 2D materials and van der Waals