Post-Doctoral Research Visit F/M Generalisable early classification of bovine embryo morphokinetic profiles from time-lapse videomicroscopy

Highlights

• Develop real-time analysis tools to classify bovine embryos from time-lapse video.
• Aim for early prediction before day 4 instead of single day-7 assessment.
• Ensure robustness across microscopes, protocols, culture conditions and species.

What they offer

• Subsidized meals
• Partial reimbursement of public transport costs
• 7 weeks of annual leave + 10 RTT days + exceptional leave
• Teleworking possible after 6 months with flexible hours
• Professional equipment available
• Social, cultural and sports events and activities
• Access to vocational training

Ideal candidate

PhD researcher passionate about video analysis for real-world biology, rigorous and curiosity-driven, who values reproducible science and clear English communication to deliver usable embryo assessment tools.

Requirements

• PhD in computer science, applied mathematics, machine learning / computer vision or related field
• Strong expertise in deep learning for video or image sequences (CNNs, transformers, temporal models)
• Solid practice in PyTorch
• Sound experimental methodology including evaluation design, class imbalance, small or heterogeneous datasets and statistical rigour
• Proven scientific track record with publications in ML, computer vision or biomedical imaging
• Ability to write clearly and communicate in English (French is a bonus)