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Postdoctoral position at CNR-NANO Modena (Italy) ... (No replies)

deborah.prezzi
5 years ago
deborah.prezzi 5 years ago

Postdoctoral position on computational modelling of ultrafast processes in artificial light-harvesting systems

Duration: 1 year (renewable)

Starting date: November 2019 (negotiable)

Host: Nanoscience Institute of the National Research Council (CNR-NANO), Modena (Italy)

Brief description of the project: This postdoctoral position is part of the national project ‘From natural to artificial light-harvesting systems: unveiling fundamental processes towards a bio-inspired materials design (HARVEST)’, which aims at elucidating the molecular mechanisms of light-harvesting (LH) in natural pigment-protein complexes and optimize them for artificial LH systems. The postdoctoral fellow will carry out an ab-initio and density matrix investigation of artificial light-harvesting materials to unveil the molecular mechanisms and the role played by quantum coherences in LH processes, and their relation to the systems’ structural and electronic properties. Given the multidisciplinary and collaborative nature of the project, the detailed activities will be planned and realized in close collaboration with the experimental partners (Prof. G. Cerullo - Politecnico di Milano and Prof. T. Scopigno - University of Rome, La Sapienza). These research groups have internationally recognized expertise in ultrafast optical and vibrational spectroscopies, as well as 2DES, for addressing open problems ranging from biochemistry to condensed matter.

Research group: The reference people are Dr. Deborah Prezzi (ORCID 0000-0002-7294-7450), Dr. Carlo Andrea Rozzi (ORCID 0000-0001-6429-4835) and Dr. Filippo Troiani (ORCID 0000-0002-0705-164X). Further info on the personal webpages at: http://www.nano.cnr.it/?mod=men&id=102.

Postdoc profile: Successful applicants should have a Ph.D. in computational or theoretical chemistry / physics / materials science, with a solid background in modelling structural and electronic properties of materials with state-of-the-art ab-initio codes. Demonstrated coding skills are appreciated (FORTRAN and/or Python). Good knowledge of English, both written and oral, is compulsory.

Information and application: To apply, please write to [email protected]  providing: (i) cover letter with a short personal statement, (ii) curriculum vitae (including research interests and accomplishments, full publications list, relevant certificates/diplomas) and (iii) full contact details of two referees supporting the application. Selected candidates will be interviewed via teleconf.

Deadline for applications: Recruitment will remain open until the position is filled.




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Ab initio (from electronic structure) calculation of complex processes in materials