Activity: Development and use of scientific codes based on statistical approaches (NOT DFT) for the generation of atomic structures of amorphous systems, that will be further investigated for their electronic, optical and transport properties. Particular interest will be dedicated to the understanding of the structure/property relations and to the role of the short- and medium-range order on the structural and thermodynamical properties of the system. Direct experience in the development of numerical codes for the study of amorphous materials will be considered as preferential skills.

Research theme: “Development and use of novel numerical approaches based on statistical
models (e.g. Montecarlo, topological graphs) and machine learning, for the generation of
atomic structure of disordered and amorphous solid-state materials (e.g. phase-change
chalcogenides, metallic glasses, doped metal oxides)” within the research Projects
“OpenModel - Integrated Open Access Materials Modelling Innovation Platform for Europe” (CUP: B55F21000080006) and “Plasmonics in disordered materials” (CUP: B53C22008830006), call NANO AR 18-2023 MO

Scientific supervisor: Dr. Arrigo Calzolari 

Qualification and experience:

- Master degree and PhD in physics, chemistry, material science, mathematics;
- At least three or more years of post-doctoral experience in theoretical condensed-matter physics/chemistry or mathemathical methods for applied physics
- Knowledge of scientific codes and methodologies for the simulation of solid-state physics based on statistical approaches including (but not limited to) Montecarlo and topological graphs, and machine learning
- Experience in the study of disordered and/or amorphous materials
- Knowledge programming languages for scientific software (e.g. Fortran, C, C++, python) and parallel computation (MPI)
- Advanced knowledge of English language
- Some knowledge of Italian

Job Location: Istituto NANO - Modena

Duration: 12 months renewable

Yearly Gross Remuneration: € 26.000

Deadline for applications: December 5, 2023

How to apply: 
- certified mail - Posta Elettronica Certificata: [email protected]

- Candidates residing outside of Italy must send the application and all the documents listed
in Annex A to the following e-mail address: [email protected] 

The application form must be filled in using the attachments A-B-C- of this call (send only
signed PDF files). The reference to selection notice no. NANO AR 018-2023 MO must be
indicated in the subject of the email. Candidates will receive an e-mail confirming receipt of the application.

Type of selection: the submitted applications will be evaluated by CNR. A reserve list of accepted applications will be set up. These candidates will be invited for an interview that it will held on December 18, 2023, by videoconference.

For any information please contact:
[email protected] or [email protected]  

Further details are available at:

https://bandi.miur.it/bandi.php/public/fellowship/id_fellow/246800
http://bandi.urp.cnr.it/doc-assegni/documentazione/14516_DOC_IT.pdf