- JOB
- Italy
Job Information
- Organisation/Company
- CNR-NANOTEC ROME INSTITUTE
- Department
- CNR-NANOTEC ROME INSTITUTE C/O DIP FISICA UNIVERSITA SAPIENZA ROMA P.LE ALDO MORO, 2
- Research Field
- Physics » Statics
- Researcher Profile
- Established Researcher (R3)
- 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?
- Not funded by a EU programme
- Reference Number
- BANDO AR.018.2024_NANOTEC-ROMA
- Is the Job related to staff position within a Research Infrastructure?
- No
Offer Description
Transizioni di fase in sistemi frustrati come spin-glasses, reti neurali e sistemi ottici in mezzi casuali. Inferenza statistica, machine learning e intelligenza artificiale. Approcci numerici alla risoluzione di equazioni dinamiche stocastiche con disordine non perturbativo estinto. Cenni teorici agli esperimenti su spin-glass ottici e laser casuali.
Where to apply
- ntec.recruitment@nanotec.cnr.it
Requirements
- Research Field
- Physics » Statistical physics
- Education Level
- PhD or equivalent
Skills/Qualifications
PhD in Physics, Mathematics or Engineering on subjects coherent with the theme of the call
the candidates must have a string background in at least one of the following subjects:
- statistical physics of complex disordered systems (replica theory, cavity method, belief propagation, TAP equations, statistical field theory)
- statistical inference and machine learning (pseudo-likelihood regression methods, mean-field methods, message passing methods)
- stochastic processes (partial differential equations, stochastic differential equations resolution)
- Monte Carlo numerical simulations
- parallel CPU computing, (multi-)GPU computing, CUDA programming.
Specific Requirements
PhD in Physics, Mathematics or Engineering on subjects coherent with the theme of the call
the candidates must have a string background in at least one of the following subjects:
- statistical physics of complex disordered systems (replica theory, cavity method, belief propagation, TAP equations, statistical field theory)
- statistical inference and machine learning (pseudo-likelihood regression methods, mean-field methods, message passing methods)
- stochastic processes (partial differential equations, stochastic differential equations resolution)
- Monte Carlo numerical simulations
- parallel CPU computing, (multi-)GPU computing, CUDA programming.
- Languages
- ENGLISH
- Level
- Good
- Languages
- ITALIAN
- Level
- Basic
- Years of Research Experience
- 4 - 10
Internal Application form(s) needed
Avviso di selezione bando AR.018.2024_NANOTEC-ROMA_signed_prot. n. 169577 del 21.05.2024.pdf
English
Additional Information
Benefits
Contract of one year (renewable). Yearly gross remuneration for one year: 26.000,00 €
Eligibility criteria
PhD in Physics, Mathematics or Engineering on subjects coherent with the theme of the call
the candidates must have a string background in at least one of the following subjects:
- statistical physics of complex disordered systems (replica theory, cavity method, belief propagation, TAP equations, statistical field theory)
- statistical inference and machine learning (pseudo-likelihood regression methods, mean-field methods, message passing methods)
- stochastic processes (partial differential equations, stochastic differential equations resolution)
- Monte Carlo numerical simulations
- parallel CPU computing, (multi-)GPU computing, CUDA programming.
Selection process
Assesment of the titles and interview
- Website for additional job details
Work Location(s)
- Number of offers available
- 1
- Company/Institute
- CNR-ISTITUTO DI NANOTECNOLOGIA sede di Roma
- Country
- Italy
- State/Province
- RM
- City
- ROMA
- Postal Code
- 00185
- Street
- P.le Aldo Moro, 2 c/o Dip di Fisica Università Sapienza
Contact
- State/Province
- ITALY
- City
- ROMA
- Website
- Street
- c/o Dip di Fisica Università Sapienza Piazzale Aldo Moro,2
- Postal Code
- 00185
- ntec.recruitment@nanotec.cnr.it