Expression of interest: Postdoctoral researcher in computational nanophotonics and material science

CINBIO is looking for a Postdoctoral researcher in computational nanophotonics and material science to contribute to research modelling hybrid nanostructured photocatalysts. We seek candidates with experience in computational modelling of nanostructured systems through ab initio or semiclassical methods, ideally with experience modelling some aspect of light‑matter interaction. The context of this project is the development of new theoretical methods to optimize photocatalytic strategies using nanostructures made with different materials, with the ultimate goal of efficiently using solar energy to drive chemical reactions. The incoming researcher will work in a project with great scientific and technological potential, bridging research in physics and chemistry, so that they will interact and collaborate with a diverse range of researchers, both within CINBIO and internationally. Funding is provided by the Spanish Ministry for Science and Innovation (Ministerio de Ciencia e Innovación) under the “Research Challenges” call (Projectos I+D+I “Retos de Investigación”), project “LIGHTtoGAS : Multiscale Models for Plasmon Photocatalysis Engineering.” The selected candidate will join the TeamNanoTech research group (), in Biomedical Research Centre (CINBIO) (), and will work under the supervision of Lucas Vázquez Besteiro. General requirements A good level of English (written and spoken). Capability of acquiring a visa for working in the EU. Having a finished PhD degree by the starting date of the contract. Desired background for candidates Demonstrable research experience in modelling physical properties of nanostructures through analytic or numerical methods. Experience with first‑principles techniques, such as DFT and ideally also using post‑DFT formalisms modelling excited states, will valued. Job conditions Full‑time contract (37.5 hours per week) with a gross monthly salary of 2500 €. The initial duration of the contract is of 1 year, with the possibility (and expectation) of extending it. Anticipated starting date is Jan 15th, 2024. Selection The selection process will be conducted by a committee composed by researchers working at CINBIO. The interested candidates should send a brief letter motivating their interest in the position, a complete CV in English and in pdf format, and contact information of two references to . All applications received before the end of Dec 3rd 2023 (CEST time) will be given equal consideration. About the centre CINBIO is a multidisciplinary research institute hosting more than 200 researchers, between professors, postdocs, doctoral students and lab technicians. It was born of an investment stemming from University of Vigo’s mission to develop the field of biomedicine and biotechnology with a key differential element with other research centers of similar characteristics : its strong multidisciplinary nature. Our staff includes top level researchers in disciplines as varied as medicine, biology, chemistry, physics, mathematics and computer science. Besides its commitment to scientific excellence, CINBIO actively advocates gender equality. Its Equality Plan can be downloaded at . Line of research : Computational nanophotonics Work to be performed : Modelado computacional de fotocatalizadores plasmónicos híbridos Computational modelling of hybrid plasmonic photocatalysts Functions Modelling the interaction of light with systems composed by metallic and semiconducting nanoparticles, and supported by metalorganic frameworks, to study their joint response as photocatalysts in driving reactions of technological interest. Contributing to the design of multiscale models for describing hybrid plasmonic systems with a complex material configuration. Merits General merits : academic training and command of English Specific merits : research experience using first‑principles simulations with DFT or other ab initio techniques. Research experience using formalisms modelling excited states. Publication track‑record. Personal interview (3 candidates maximum) #J-18808-Ljbffr