Post-Doc Machine Learning (IA) approach for Bio Feedstocks estimation (M/F)
Job post no longer accepts applications

Total Energies
a day ago
Posted datea day ago
N/A
Minimum levelN/A
Context & Environment
OneTech's mission is to provide the technological and scientific expertise required to support development projects and operations across all TotalEnergies activities worldwide (oil and biofuels, natural and green gas, renewables and electricity). Its 3,400 employees - engineers, technicians, researchers, and support staff - are based on 9 sites across Europe and are fully committed to helping TotalEnergies achieve its ambition of becoming a major player in the energy transition, aiming for net zero emissions by 2050.
Join our Customer Lines, Technical Lines, R&D Lines and Support functions teams, which assist all operational branches of TotalEnergies in their development projects and operational support!
Activities
Within TotalEnergies OneTech, the BioHub roadmap aims to provide competitive bio-based raw material alternatives for the production of biofuels (particularly SAF) that comply with current regulatory requirements and volume demands. Understanding the evolution of various factors such as climate change, the bio-based raw material supply chain, sustainable carbon use, and the management of agro-agricultural resources and non-recovered waste are key to producing aviation biofuels sustainably
Quantifying global Bio Feedstocks presents several challenges: data availability, high biomass variability and competition between different usages which can lead to inaccurate estimates. Furthermore, the existing studies and models concerning biomass availability are often difficult to compare, as they apply different criteria (e.g. technical, economic or sustainable) to overall potentials and these studies are not harmonized from one study to other nor always transparently documented.
Aware of the importance of having reliable data on the availability of global biomass, the Upstream Bio Feedstocks team has developed an internal methodology to support TotalEnergies' ambition in bio-based molecules and achieve carbon neutrality by 2050.However, it is critical to also estimate potential biomass availability at future horizons (e.g. 2030, 2040 or 2050) since this assessment may be integrated into TotalEnergies strategic portfolio.
The Upstream Bio Feedstocks team from the Biofuels program is looking for a motivated postdoc/young scientist candidate to:
The position is based at Solaize (Lyon) and we propose a 18-month fixed-term private law contract to start in September 2025.
Candidate Profile
This position is for you if:
Additional Information
TotalEnergies values diversity, promotes individual growth and offers equal opportunity careers.
Apply
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TotalEnergies is a global multi-energy company engaged in the production and supply of various forms of energy: oil and biofuels, natural gas and green gases, renewables, and electricity. Its 105,000 employees are committed to providing increasingly affordable, clean, reliable, and accessible energy to a wide audience. Present in over 130 countries, TotalEnergies places sustainability at the core of its projects and operations to contribute to the well-being of communities.
OneTech's mission is to provide the technological and scientific expertise required to support development projects and operations across all TotalEnergies activities worldwide (oil and biofuels, natural and green gas, renewables and electricity). Its 3,400 employees - engineers, technicians, researchers, and support staff - are based on 9 sites across Europe and are fully committed to helping TotalEnergies achieve its ambition of becoming a major player in the energy transition, aiming for net zero emissions by 2050.
Join our Customer Lines, Technical Lines, R&D Lines and Support functions teams, which assist all operational branches of TotalEnergies in their development projects and operational support!
Activities
Within TotalEnergies OneTech, the BioHub roadmap aims to provide competitive bio-based raw material alternatives for the production of biofuels (particularly SAF) that comply with current regulatory requirements and volume demands. Understanding the evolution of various factors such as climate change, the bio-based raw material supply chain, sustainable carbon use, and the management of agro-agricultural resources and non-recovered waste are key to producing aviation biofuels sustainably
Quantifying global Bio Feedstocks presents several challenges: data availability, high biomass variability and competition between different usages which can lead to inaccurate estimates. Furthermore, the existing studies and models concerning biomass availability are often difficult to compare, as they apply different criteria (e.g. technical, economic or sustainable) to overall potentials and these studies are not harmonized from one study to other nor always transparently documented.
Aware of the importance of having reliable data on the availability of global biomass, the Upstream Bio Feedstocks team has developed an internal methodology to support TotalEnergies' ambition in bio-based molecules and achieve carbon neutrality by 2050.However, it is critical to also estimate potential biomass availability at future horizons (e.g. 2030, 2040 or 2050) since this assessment may be integrated into TotalEnergies strategic portfolio.
The Upstream Bio Feedstocks team from the Biofuels program is looking for a motivated postdoc/young scientist candidate to:
- prospect biomass availability by machine learning tools (IA)
- estimate potential biomass by machine learning approach while quantifying uncertainty and correcting bias in specific time horizons.
- Build spatial and temporal dynamic models
The position is based at Solaize (Lyon) and we propose a 18-month fixed-term private law contract to start in September 2025.
Candidate Profile
This position is for you if:
- You hold a PhD in Computer Sciences (less than 3 years) or equivalent practical experience or related technical field
- You demonstrated expertise in machine learning research
- You have strong mathematical skills, ability to formulate a research problem, design, implement and communicate solutions
- You are comfortable with modelling tools like Aspen, Python,
- You are fluent in English and French could be an option.
- You have good communication skills and you are able to work autonomous
Additional Information
TotalEnergies values diversity, promotes individual growth and offers equal opportunity careers.
Apply
- X
<
TotalEnergies is a global multi-energy company engaged in the production and supply of various forms of energy: oil and biofuels, natural gas and green gases, renewables, and electricity. Its 105,000 employees are committed to providing increasingly affordable, clean, reliable, and accessible energy to a wide audience. Present in over 130 countries, TotalEnergies places sustainability at the core of its projects and operations to contribute to the well-being of communities.
JOB SUMMARY
Post-Doc Machine Learning (IA) approach for Bio Feedstocks estimation (M/F)

Total Energies
La Celle-sous-Gouzon
a day ago
N/A
Full-time
Job post no longer accepts applications
Post-Doc Machine Learning (IA) approach for Bio Feedstocks estimation (M/F)
Job post no longer accepts applications