Advanced bilevel optimization methods and artificial intelligence techniques for complex decision-making problems in the financial and business domains

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

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.

Eligible destination country/ies for fellows:

• Italy

Eligibility of fellows: country/ies of residence:

• EUROPE

Eligibility of fellows: nationality/ies:

• EUROPE

Website for additional job details

https://www.albopretorionline.it/uniroma/alboente.aspx

Number of offers available

1

Company/Institute

Università degli Studi Roma Tre

Country

Italy

Geofield

City

Roma

Website

http://www.uniroma3.it

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