Connectionists: MSc. Internship in AI LLM: "AI Agents to Accelerate Scientific Research"

[Xavier Hinaut]

Hello,

We propose a MSc. Internship in AI LLM: "AI Agents to Accelerate Scientific Research" 
From February/March at Inria and the Bordeaux Neurocampus.
 
Objective: Open-source, efficient, secure, well-documented tools with monitoring and error management.
 
This internship aims to design intelligent automations using n8n/Zapier and LLMs (Large Language Models) running on our local server.
 
Using n8n/Zapier and local LLMs (Qwen3, Llama, Mistral, etc.) via OpenWebUI and LMStudio, the intern will develop workflows for:
- Extracting data from PDFs 
- Generating literature reviews  
- Automating scientific monitoring  
- Producing tables/figures from data  
 
Required profile: Python skills, creative mindset, passion for systems engineering and AI.
 
👉 Apply and find more details in the subject PDF available here:  
https://github.com/neuronalX/internships/blob/main/2025-2026_MSc_YBO-XH_EN_workflow-AI-agent-LLM_v3.pdf
 
Co-supervised by @Yannis Bendi-Ouis (PhD student) and @Xavier Hinaut (researcher) in the Mnemosyne team @Inria and @Bordeaux Neurocampus, within the framework of ANR DeepPool and Inria BrainGPT Exploratory Action projects.
 
#AI #Research #n8n #Zapier #LLMs #OpenSource #InriaInternship #DataScience

Best regards,

Xavier Hinaut
Inria Research Scientist
—
Check the newspaper article on our Hackathon on AI, Robots and CogSci: https://www.sudouest.fr/gironde/bordeaux/c-est-un-marathon-de-la-bidouille-a-bordeaux-quand-l-ia-rencontre-les-arts-et-la-robotique-26381356.php
More info : www.hack1robo.fr <http://www.hack1robo.fr/>
https://www.linkedin.com/company/hack1robo
—
www.xavierhinaut.com <http://www.xavierhinaut.com/> -- +33 5 33 51 48 01
Mnemosyne team, Inria, Bordeaux, France -- https://team.inria.fr/mnemosyne
& LaBRI, Bordeaux University --  https://www4.labri.fr/en/formal-methods-and-models
& IMN (Neurodegeneratives Diseases Institute) -- http://www.imn-bordeaux.org/en
—
Our Reservoir Computing library: https://github.com/reservoirpy/reservoirpy





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