Planetoid 2026: Second recruitment campaign

PLANETOID

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

You will join an interdisciplinary team bringing together complementary expertise in AI, genomics, and bioinformatics. As part of the PLANETOID consortium, you will work alongside researchers and engineers from leading French and European institutions to develop cutting-edge foundation models for genomic and metagenomic data.

1. Research Engineer – Lead research scientist (4 years)
   Focus: development and deployment 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
2. Postdoctoral Researcher or Research Engineer (2 years)
   Focus: Benchmarking and evaluation of foundation models for genome and metagenome annotation; Structuring and harmonizing genomic/metagenomic datasets, preparing data for AI model training.
   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 (Roscoff) and Germany

What We’re Looking For

• Strong background in bioinformatics, AI/deep learning, or computational biology
• Proficiency in Python, data versioning tools, and high-performance computing
• Excellent communication skills in French and/or English
• Ability to work in multidisciplinary teams and manage complex datasets
• Experience with foundation models, benchmarking, or project coordination is a plus

What We Offer

• Competitive public-sector contracts (2–4 years)
• 35h/week with 44 days of annual leave
• Remote work options (up to 2 days/week)
• Benefits: 75% transport reimbursement, meal vouchers or access to cafeteria, sustainable mobility incentives, mutual insurance support
• Free access to MNHN sites for you and your guests
• A vibrant scientific and cultural environment in the heart of Paris

Application guidelines

You will have to set-up an account with sciencesconf first and to fill in the personal data that we require to process your application. 
Please read the instructions carefully and upload your application as a single pdf file.

The application deadline for each position may vary depending on local constraints. 

Funding

PLANETOID is a Collaborative Acceleration Programme (CAP) from the PostGenAI@Paris initiative coordinated by Sorbonne Cluster for Artificial Intelligence SCAI+ and funded by ANR through the France 2030 national call for projects aimed at structuring seven competitiveness clusters in artificial intelligence.