Prospective topics

PhD

Efficient architectures for vision and language models; small models for visual document analysis; continual learning in the era of multimodal foundation models.

Prospective applicants are welcome to make contact to discuss future possibilities.

M1 projects (TER: 8 weeks / 1 day per week at the lab)

Offers for Paris-Saclay students only.

(M1 - TER) · filled · [VLMs][Evaluation]: building an evaluation dataset for visual document analysis of historical scientific documents.

M2 internships (6 months)

Contact me for details (sending M1 transcript and M1 internship report if any).

(M2 - internship) [Frugality][Evaluation] Automatic leaderboard generation to analyse the energy efficiency of ML models.

(M2 - internship) [ML4Physics] Neural Operators for solving partial differential equations.

Previous openings (2025/2026)

PhD · filled · starting autumn 2026 · three years

Small language models: efficient adaptation and continual evaluation

CIFRE in partnership with SCIAM.

Thesis director: Sophie Rosset.

M2 internships · filled · March 2026 start · five to six months

Summer 2026 research internships at LISN

Topic 1: Multimodal continual learning.
Topic 2: Benchmarking parameter-efficient fine-tuning methods for spoken-language understanding.

Location: LISN laboratory, Université Paris-Saclay, Orsay, France.
Supervisors: Eva Feillet and Sahar Ghannay.

M1 internships · filled · May 2026 start · two to three months

Summer 2026 research internships at LISN

Topic 1: Visual continual learning.
Topic 2: VLMs for cultural heritage.

Location: LISN laboratory, Université Paris-Saclay, Orsay, France.
Supervisors: Eva Feillet.