About this role
Summary: Develop and implement AI solutions to extract, structure, and leverage scientific knowledge and data for product formulation. The role involves designing AI pipelines using LLMs, RAG, and agents to support scientific discovery, hypothesis generation, and experiment recommendation within an R&D environment.
Area
69 - Rhône
Context & Environment
Join TotalEnergies and contribute to accelerating scientific innovation through state-of-the-art Artificial Intelligence technologies.
Recent advances in Artificial Intelligence, particularly in Generative AI, Large Language Models (LLMs) and Agentic AI systems, are opening new opportunities for experimental research. These technologies make it possible to leverage growing volumes of heterogeneous scientific data and knowledge while enabling new forms of support for scientific reasoning and decision-making.
Within our R&D teams, this postdoctoral position aims to develop and implement AI solutions capable of extracting, structuring, connecting and leveraging scientific knowledge and data, while exploring more advanced AI for Scientific Discovery approaches, including result interpretation, hypothesis generation and experiment recommendation for hypothesis testing.
The solutions developed will be deployed and evaluated on real-world experimental research challenges, particularly in the field of product formulation.
Activities
Your main responsibilities will include:
- Designing and implementing AI pipelines to extract, structure and leverage information from heterogeneous scientific sources, including experimental datasets, scientific publications, technical reports, patents, images and technical documents;
- Developing approaches combining LLMs, Retrieval-Augmented Generation (RAG), AI agents, multimodal models and Machine Learning techniques to connect and jointly exploit scientific knowledge and experimental data;
- Designing prototypes and proof-of-concept demonstrators addressing concrete experimental research challenges, particularly in product formulation;
- Exploring novel AI for Scientific Discovery approaches to support result interpretation, identify relationships, generate scientific hypotheses and assess their validity;
- Investigating how AI can recommend and prioritize experiments to test hypotheses and reduce uncertainty;
- Evaluating the relevance, robustness, traceability and scientific value of the developed approaches in close collaboration with researchers and domain experts;
- Contributing to the dissemination, transfer and adoption of the developed methodologies across R&D environments and practices.
Candidate Profile
You hold a PhD awarded within the last three years in Artificial Intelligence, Data Science, Machine Learning, or a related discipline. You have strong expertise in Generative AI, Large Language Models (LLMs) and Agentic AI systems. You have already developed and deployed AI solutions within scientific or industrial environments and are able to rapidly contribute to projects combining innovation with practical implementation. Experience in scientific research, materials science, chemistry or R&D environments would be considered a strong asset.
You have :
- Strong knowledge of Data Science, Machine Learning and Generative AI technologies, including RAG, embeddings, prompt engineering and agent-based systems;
- Experience developing and deploying AI agents and LLM-powered applications;
- Solid programming skills, particularly in Python and modern AI development environments;
- A strong interest in scientific challenges and the exploitation of complex datasets;
- Fluency in both French and English, written and spoken (minimum C1 level).
You are recognized for your intellectual curiosity, analytical mindset and ability to propose innovative solutions while maintaining a results-oriented approach. You enjoy working collaboratively in multidisciplinary environments alongside researchers, formulation scientists and domain experts. You are motivated to contribute to high-impact industrial research projects and to help transform scientific practices through cutting-edge Artificial Intelligence technologies.
Joining TotalEnergies means committing to the energy transition and helping provide energy that is more affordable, more available, and more sustainable for as many people as possible. You will grow within an international multi-energy company where every talent matters. You will contribute to ambitious projects and deliver concrete solutions to today's energy challenges.
Throughout your career, you will benefit from a wide variety of assignments and tailored learning opportunities. You will fully develop your potential in an environment that fosters innovation and excellence. Join committed and collaborative teams where success is built together.
We place respect and employee well-being at the heart of our performance. That is why TotalEnergies values diversity and promotes equal opportunities for all.
