Efficient numerical methods for Partial Differential Equations
Organisation/Company Dipartimento di Matematica - Sapienza Università di Roma Research Field Mathematics » Computational mathematics Researcher Profile Recognised Researcher (R2) Leading Researcher (R4) First Stage Researcher (R1) Established Researcher (R3) Application Deadline 3 Dec 2026 - 23:59 (UTC) Country Italy Type of Contract To be defined Job Status Not Applicable Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No
Offer Description The research position focuses on numerical analysis and mathematical modeling, with particular emphasis on the development and analysis of efficient numerical methods for ordinary and partial differential equations. Research activities may include model order reduction techniques,
optimal control methods for dynamical systems, and data-driven approaches for the identification and approximation of mathematical models, including machine learning techniques and Physics-Informed Neural Networks (PINNs). The research will encompass theoretical, algorithmic, and computational aspects, aiming to develop accurate and efficient methodologies for the simulation, analysis, and control of complex dynamical systems.
Additional Information Eligibility criteria
Italy
Eligibility of fellows: country/ies of residence:
OTHER
Eligibility of fellows: nationality/ies:
#J-18808-Ljbffr
Offer Description The research position focuses on numerical analysis and mathematical modeling, with particular emphasis on the development and analysis of efficient numerical methods for ordinary and partial differential equations. Research activities may include model order reduction techniques,
optimal control methods for dynamical systems, and data-driven approaches for the identification and approximation of mathematical models, including machine learning techniques and Physics-Informed Neural Networks (PINNs). The research will encompass theoretical, algorithmic, and computational aspects, aiming to develop accurate and efficient methodologies for the simulation, analysis, and control of complex dynamical systems.
Additional Information Eligibility criteria
Italy
Eligibility of fellows: country/ies of residence:
OTHER
Eligibility of fellows: nationality/ies:
#J-18808-Ljbffr