Logo
Università degli Studi Roma Tre

Advanced bilevel optimization methods and artificial intelligence techniques for

Università degli Studi Roma Tre, Italy, New York, United States

Save Job

Organisation/Company Università degli Studi Roma Tre Research Field Economics Researcher Profile Recognised Researcher (R2) Leading Researcher (R4) First Stage Researcher (R1) Established Researcher (R3) Country Italy Application Deadline 3 Jan 2026 - 23:59 (UTC) 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 activity involves the development and analysis of the convergence properties and efficiency (assessed through complexity bounds) of optimization methods for the solution of bilevel problems, with applications to quantitative finance and business decision-making processes. The theoretical analysis relies on tools from variational analysis and nonsmooth optimization.The activity also includes a focus on the use of artificial intelligence techniques in the context of financial and business problems, with particular emphasis on the teaching of subjects in the business area. Requirements

Additional Information

Eligibility criteria Italy Eligibility of fellows: country/ies of residence: EUROPE Eligibility of fellows: nationality/ies:

#J-18808-Ljbffr