Mots-Clés
Deep learning
genome annotation
biodiversity
large language models
Description
PLANETOID is a cutting-edge research initiative that aims to transform genome and metagenome annotation by combining deep learning with rich genomic biodiversity data. It brings together world-class expertise in artificial intelligence, computational biology, biodiversity, and evolutionary genomics to build powerful tools for interpreting genome sequences across the tree of life.
By developing advanced AI models trained on diverse biological data, PLANETOID will uncover the hidden functional layers of genomes—from microorganisms to multicellular organisms, and within natural communities and ecosystems.
This initiative is supported by PostGenAI, an AI programme coordinated by Sorbonne University, and involves a wide consortium of French and international partners.
Review the PLANETOID website for more information on the consortium.
Open positions
Research Engineer – Lead research scientist (4 years)
Focus: development of deep learning models, data and code management.
Requirements: Master’s or PhD in bioinformatics, computer science, or related fields; strong skills in deep learning, data management.
Location: MNHN in Paris
Postdoctoral Researcher / Research Engineer (2 years)
Focus: Benchmarking and evaluation of foundation models for genome and metagenome annotation.
Requirements: PhD or Master’s with experience in AI/ML, deep learning, and biological data analysis.
Location: SU or MNHN in Paris, with potential secondments in France and Germany
Research Engineer – Data Curation (2 years)
Focus: Structuring and harmonizing genomic/metagenomic datasets, preparing data for AI model training.
Requirements: Master’s or PhD in bioinformatics or computational biology; experience with FAIR data principles, genomic formats, and data pipelines.
Location: SU or MNHN in Paris with regular travel to Roscoff and partner labs.