Job Information
- Organisation/Company
- National Research Council (CNR) of Italy
- Department
- SuPerconducting and other INnovative materials and devices institute
- Research Field
- Physics » Solid state physics
- Researcher Profile
- Recognised Researcher (R2)
- Country
- Italy
- Application Deadline
- Type of Contract
- Temporary
- Job Status
- Full-time
- Hours Per Week
- 36
- Offer Starting Date
- Is the job funded through the EU Research Framework Programme?
- European Union / Next Generation EU
- Is the Job related to staff position within a Research Infrastructure?
- No
Offer Description
Ab-initio simulations on ferroic materials, supported by high-throughput and machine learning approaches.
Requirements
- Research Field
- Physics » Solid state physics
- Education Level
- PhD or equivalent
Skills/Qualifications
At least three years of experience in modelling – possibly from first-principles – of ferroic materials (i.e. magnetic and/or ferroelectrics and/or ferroelastics). Accurate knowledge in the fields of: Solid State Physics, Quantum Mechanics, Electronic Structure Theory, Machine learning applied to the study of functional materials.
Or PhD in Physics (or related disciplines) focused on research topics similar to those of interest for the call.
- Languages
- ENGLISH
- Level
- Good
- Research Field
- Physics » Solid state physics
- Years of Research Experience
- 1 - 4
Additional Information
Work Location(s)
- Number of offers available
- 1
- Company/Institute
- SuPerconducting and other INnovative materials and devices institute
- Country
- Italy
- State/Province
- Chieti
- City
- Chieti
- Postal Code
- I-66100
- Street
- Via dei Vestini 31
Where to apply
- Website
Contact
- State/Province
- CH
- City
- Chieti
- Website
- Street
- Via dei Vestini 31 c/o Università degli Studi di Chieti
- Postal Code
- I-66100
- supporto.reclutamento@spin.cnr.it