Research Scientist
il y a 2 semaines
INRIA is seeking a highly skilled Research Scientist to join our team in the development of novel topology-infused generative models for approximate galaxy map simulations. The successful candidate will work in the context of Topological Data Analysis (TDA) and Deep Generative Models (DGM), with a focus on multimodal variational autoencoders and their applications in cosmology.
Key Responsibilities
• Develop mathematical frameworks and practical setups for applying TDA methods, descriptors, and features in the context of DGM.
• Study the theoretical differentiability properties of TDA descriptors based on multi-parameter persistence.
• Collaborate with colleagues to design and implement novel generative models that integrate topological information.
Requirements
• PhD degree in Applied Mathematics and/or Computer Science.
• Excellent programming skills with experience in deep learning libraries (Scikit-Learn, TensorFlow, PyTorch).
• Strong research experience in topics including deep generative models, machine learning, and dimensionality reduction.
• Excellent communication and collaboration skills.
Benefits
• Subsidized meals and partial reimbursement of public transport costs.
• 7 weeks of annual leave and 10 extra days off due to RTT.
• Possibility of teleworking and flexible organization of working hours.
How to Apply
Please send your application, including your CV and cover letter, to the contact address mentioned in the INRIA website.
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