Fraud Analytics ML Postdoc: Interpretable Models & Graphs

EURAXESS Ireland; Orléans; Ibrido; EUR 32.000 - 42.000; Tempo pieno

Descrizione del lavoro

Université d'Orléans invites applications for a postdoctoral researcher to develop machine learning and deep learning models for fraud detection across insurance, social contributions and banking. The candidate will work within the Laboratoire d'Économie d'Orléans (LEO) and collaborate with academic and institutional partners, with access to high-performance computing and confidential datasets.

The role emphasizes interpretable models, data privacy, and reproducible research, with opportunities

Competenze

• PhD in Data Science, ML, Econometrics, Finance or Statistics, or near completion.
• Advanced expertise in machine learning and deep learning (ML/DL) is expected.
• Proficiency in Python, R, or equivalent tools; experience with large-scale datasets and feature engineering; familiarity with explainable AI (XAI) methods.

Mansioni

• Develop ML/DL models for fraud detection in insurance, social contributions and banking.
• Create interpretable ML/DL methods for anomaly detection and analyze large datasets.
• Collaborate with industry partners to validate models on proprietary data and contribute to publications.
• Scientific autonomy with mentoring from senior researchers and access to laboratory infrastructure.

Conoscenze

Python

R

Machine learning

Deep learning

Explainable AI

English proficiency

Formazione

PhD in Data Science / ML / Econometrics / Finance / Statistics

Descrizione del lavoro

Université d'Orléans invites applications for a postdoctoral researcher to develop machine learning and deep learning models for fraud detection across insurance, social contributions and banking. The candidate will work within the Laboratoire d'Économie d'Orléans (LEO) and collaborate with academic and institutional partners, with access to high-performance computing and confidential datasets.

The role emphasizes interpretable models, data privacy, and reproducible research, with opportunities