Open positions

PostDoc felloship @CNR Nano

1 Postdoc fellowship. “Development of scientific computing software (also in MPI-environment) for the study of complex models and electronic devices for synaptic electronics and neuromorphic computing”.

One position for research physics/computational materials scientist is available in the group of Dr. Arrigo Calzolari at CNR Nano in Modena, Italy, in the framework of EU-funded project “Interoperable Material-to-Device Simulation box for disruptive electronics – INTERSECT” – GA nr. 814487 (http://intersect-project.eu/).

Outstanding candidates are sought with a background in the physical sciences alongside strong programming skills.

Women are strongly encouraged to apply.


Candidates must have

  • a master degree in Physics, Chemistry, Electronic Engineering or Computer Engineering.
  • a PhD degree in Physics, Chemistry, Electronic Engineering or Computer Engineering.
  • a 3-year or more experience in the study of solid-state systems and nanosciences based on the Functional Density Theory, or a PhD in relevant subjects.
  • advanced knowledge of written and spoken English
  • knowledge of programming language such as Fortran and/or MPI C; good knowledge of object-oriented programming (e.g. Python),

Within the INTERSECT project, this activity will aim at accelerating the uptake of materials modelling software in the field of synaptic electronics and neuromorphic computing to provide industry-ready software solutions. In particular, the candidate will be involved in the development/implementation of an interoperable, interdisciplinary and multi-physics simulation platform for simulation of disruptive electronics. This includes a software integration action, by means of the linking-and-coupling of existing materials and device simulation codes, as well as the formalization/development of specific workflows for the automation of the process that control the entire modelling pipeline.


Deadline: 03/03/2019

For information on the positions, please contact intersect@nano.cnr.it.


Complete announcement available for download

 


Researcher Position @CNR Nano

We are looking for 1 Researcher: “Study of structural and electronic properties of complex systems, such as ferroelectrics and phase change materials, through classical and first principles approaches”

One position for research physics/computational materials scientist is available in the group of Dr. Arrigo Calzolari at CNR Nano in Modena, Italy, in the framework of EU-funded project “Interoperable Material-to-Device Simulation box for disruptive electronics – INTERSECT” – GA nr. 814487.

Outstanding candidates are sought with a background in the physical sciences alongside strong programming skills.
Women are strongly encouraged to apply.
The position is for 1 year (renewable).


Candidates must have:
– a master degree in Physics, Chemistry, Electronic Engineering or Computer Engineering
– a 3-year or more experience in the study of solid-state systems and nanosciences based on the Functional Density Theory, or a PhD in relevant subjects.
– advanced knowledge of written and spoken English
– good knowledge of programming language such as Fortran and/or MPI C; good knowledge of object-oriented programming (e.g. Python);  language such as Fortran and/or MPI C; data analysis and physical-statistical correlations.


The candidate will be involved in the study of complex materials (such as ferroelectrics and phase change materials) for synaptic electronics e.g. 3D integrated memories, selectors, and neuromorphic devices.  The development of these emerging technology calls for the investigation of materials at device level, since materials characteristics – including  structural disorder, defects, impurities and boundaries – are inherently connected to the device performance requirements. 

On the theoretical side, this requires an unprecedented capability of simulating properties of materials well beyond the standard solid-state analysis. The complexity of the systems will require multi-scale multi-model computational techniques mostly based on both first principles (e.g. DFT) and classical molecular dynamics approaches.

The research activity, within the EU INTERSECT project, will include a tight collaboration with engineering and experimental groups, expert in the fabrication and the simulation of advanced synaptic devices and circuits.



Deadline: 02/03/2019

For information on the positions, please contact intersect@nano.cnr.it.

Complete announcement available for download



Postdoctoral researcher position @ICN2

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Research area or group: Theory and Simulation


Description of Group/Project:

The Theory and Simulation Group developes efficient methods for atomistic simulations in nanostructured systems, which can fully exploit modern computer multiprocessor architectures, and  applies them to selected problems in Nanoscience and Nanotechnology. These include (but are not restricted to) the SIESTA (see www.icmab.es/siesta) and TranSIESTA codes. SIESTA is a multi-purpose first-principles method and program, based on Density Functional Theory, which can be used to describe the atomic and electronic properties of systems with up to several thousands of atoms. TranSIESTA is an extension of SIESTA that enables the study of electronic transport phenomena in nanoscale devices. Both codes are among the most important of their kind and are widely used by the academic community.


Main Tasks and responsibilities:

  • Development of different new computational methods within the SIESTA package to extract physical properties, which might include: formation enthalpy of charged defects, electron-phonon matrix elements from linear response (DFPT), dissipation scattering rates for electrical and thermal conductivity, dynamics of domain walls in ferroic materials, or defect diffussion barriers.
  • Implementation and testing of workflows for high-throughput calculations.
  • Preparation of scientific reports, papers and software documentation.
  • Attendance at project meetings, and scientific conferences, and participation in outreach activities within the project.
  • Contribution to students´supervision.
  • Contribution to other activities in the group.

Education, Experience, Knowledge and Competences required:

· Education: PhD in Physics, Materials Science, Chemistry, Computer Science, or related disciplines.

· Knowledge: DFT methods, coding in Fortran+MPI, python.

· Professional Experience: Experience in computational science (ideally, with SIESTA), high-performance computing, and high-throughput calculations.

· Competences: Strong commitment, attention to detail, demonstrated ability to work with deadines, manage conflicting priorities, excellent communication skills and ability to work with highly qualified professionals with international backgrounds.


Research Career Profile (According to the European Framework for Research Careers):R3 Established Researcher

PROCESS IN THE INTERVIEWS PHASE