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| internships [2025/12/02 21:28] – director-trai | internships [2026/10/05 09:35] (current) – [Internship proposals 2026-2027] director-trai |
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| =============== Internship proposals 2025-2026 =============== | =============== Internship proposals 2026-2027 =============== |
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| * <color #ed1c24>**CNIL**: Auditing compliance of AI Systems</color> | * <color #ed1c24>**Ekimetrics**: Causal domain adaptation</color> |
| * **Description:** CNIL is the French Data Protection Authority and will have a central role in the application of the EU AI Act that is progressively entering into force. In the AI department, you will support the effort to put in place CNIL's technical strategy for auditing AI systems. This is a unique opportunity to participate in the very beginning of AI regulation. | * **Description:** See {{ :internship_offers_2027_causal_domain_adaptation.pdf |official announcement}} (includes an opportunity to continue into a PhD) |
| * **Keywords:** AI Audit, AI Act, AI Regulation, AI Ethics | * **Keywords:** Causal inference, domain adaptation, statistical learning |
| * **Theory/applied:** In-between research and operational missions | * **Level:** M1 or M2 |
| * **Contact:** Nicolas Berkouk <nberkouk@cnil.fr> | * **Contact:** Marianne Clausel <marianne.clausel@univ-lorraine.fr> |
| | * <color #ed1c24>**Ekimetrics**: Top-down and bottom-up causal reasoning</color> |
| | * **Description:** See {{ :internship_offers_2027_hcm.pdf |official announcement}} (includes an opportunity to continue into a PhD) |
| | * **Keywords:** Causal inference, causal reasoning, hierarchical causal models |
| | * **Level:** M1 or M2 |
| | * **Contact:** Marianne Clausel <marianne.clausel@univ-lorraine.fr> |
