Research Intern - Gray-Box Multi-Objective Optimization

Inria, the French national research institute for the digital sciences; France; Sur place; EUR 7 800 - 10 000; Plein temps

Avantages offerts par ce poste

Public transport reimbursement

Annual leave 7 weeks + 10 RTT days

Teleworking after 6 months

Flexible hours

Equipment provided

Social, cultural and sports events

Vocational training access

Social security coverage

Résumé du poste

Inria, the French national research institute for the digital sciences in France, seeks a researcher for a temporary internship focused on multi-objective gray-box optimization. The project aims to develop new algorithmic approaches to navigate Pareto Local Optima and explore tunneling mechanisms within gray-box problems.

The work may involve theoretical analysis, algorithm design, experimental evaluation, or combined methods, with potential contributions to publications and research software.

Qualifications

• Strong interest in fundamental research in gray-box optimization.
• Good programming skills are expected.
• Willingness to conduct open research problems.
• Ability to contribute to scientific publications or research software.

Responsabilités

• Review literature on gray-box optimization and multi-objective optimization.
• Analyze existing gray-box optimization algorithms and their landscapes.
• Design new tunneling operators and search mechanisms.
• Implement and experimentally evaluate new optimization algorithms and run computational experiments.

Connaissances

Programming skills

French (basic)

English (good)

Description du poste

Inria, the French national research institute for the digital sciences in France, seeks a researcher for a temporary internship focused on multi-objective gray-box optimization. The project aims to develop new algorithmic approaches to navigate Pareto Local Optima and explore tunneling mechanisms within gray-box problems.

The work may involve theoretical analysis, algorithm design, experimental evaluation, or combined methods, with potential contributions to publications and research software.