IRIT (Institut de Recherche en Informatique de Toulouse)

About the Company

IRIT was founded in 1990. Since then, it plays a prominent role in Toulouse computer science research. It gathers together more than 690 members among which 500 researchers, faculty members, and Ph.D. students afiliated to CNRS (Centre National de la Recherche Scientifique), INPT (Institut National Polytechnique de Toulouse), UT3 (Université Toulouse 3 Paul Sabatier), UT1 (Université Toulouse1 Capitole) and UT2J (Université Toulouse 2 Jean Jaurès). Research at IRIT covers most of the fields where computer and information science are in progress, be it in its core, ranging from computer architecture to software engineering and computer networks, or in its most contemporary developments like artificial intelligence and cognitive systems, multimedia man-machine interaction, image interpretation and synthesis.

Listed Jobs

Company Name

IRIT (Institut de Recherche en Informatique de Toulouse)

Job Title

Stage M2/Ecole d'ingénieur

Job Description

**Job title** M2 Engineering Internship – AI for Health **Role Summary** Conduct research and development of artificial intelligence solutions applied to healthcare as part of a joint program between the CHU of Toulouse and IRIT. Gain hands‑on experience translating clinical needs into AI products under the "IA pour la santé" initiative. **Expectations** * Final‑year master’s student (M2) in computer science, data science, biomedical engineering, or a related field. * Strong motivation to apply AI to medical data and improve patient outcomes. * Ability to work independently and collaboratively with clinicians and researchers. **Key Responsibilities** 1. Design, train, and validate machine‑learning models on clinical datasets. 2. Preprocess and anonymize medical data while ensuring compliance with GDPR and local health regulations. 3. Prototype and evaluate AI tools for diagnostic/prognostic support. 4. Document methods, results, and user‑interface prototypes. 5. Participate in multidisciplinary meetings to translate clinical requirements into technical specifications. 6. Contribute to scientific writing and conference presentations as required. **Required Skills** * Proficiency in Python (scikit‑learn, PyTorch/TensorFlow) and data‑analysis libraries (pandas, NumPy). * Experience with supervised/unsupervised learning, feature engineering, and model evaluation metrics. * Familiarity with medical imaging or electronic health record data formats (DICOM, HL7/FHIR). * Knowledge of data‑privacy laws and ethical AI principles. * Strong written and verbal communication in English (French preferred). **Required Education & Certifications** * Enrollment in a Master’s (M2) program with a focus on AI, machine learning, data science, or biomedical engineering. * No specific certifications required, but familiarity with ML certifications (e.g., TensorFlow, AWS, Azure ML) is a plus.

Toulouse, France

Hybrid

20-11-2025