Data-Driven Optimization & Learning for Decision Systems

Karlstad University; Louvain-la-Neuve; Sur place; EUR 70 000 - 110 000; Plein temps

Avantages offerts par ce poste

Public sector pension

Diversity-friendly policy

Résumé du poste

UCLouvain invites applications for an academic position in Optimization and Learning for Data-Driven Decision systems. The successful candidate will join the Louvain School of Management and the LIDAM/CORE community to advance research in mathematical optimization, learning-driven decision making, and data science integration.

The role includes teaching in English and French at bachelor and master levels, supervising doctoral students, and participating in academic service within CORE and LIDAM,

Qualifications

• PhD in a quantitative field with strong research potential.
• Evidence of teaching experience and publications in relevant areas.
• Ability to secure competitive research funding and supervise doctoral students.

Responsabilités

• Develop and lead research in optimization and learning for data-driven decision making.
• Teach at undergraduate and graduate levels in English and French across campuses.
• Supervise doctoral students and contribute to CORE/LIDAM activities.

Connaissances

Optimization theory

Mathematical programming

Operations research

Machine learning

Data-driven decision making

Teaching excellence

Formation

PhD in Operations Research or related quantitative field

Description du poste

UCLouvain invites applications for an academic position in Optimization and Learning for Data-Driven Decision systems. The successful candidate will join the Louvain School of Management and the LIDAM/CORE community to advance research in mathematical optimization, learning-driven decision making, and data science integration.

The role includes teaching in English and French at bachelor and master levels, supervising doctoral students, and participating in academic service within CORE and LIDAM,