Site Tarides

Your Mission


Wildfires significantly impact the global carbon cycle, releasing carbon dioxide and other
gases into the atmosphere while sequestering wood charcoal in soil.
This charcoal, a stable organic material, can remain in soil for thousands to millions
of years, making the dating of biomass burning events critical for understanding the
historical influence of climate change, land use, and vegetation shifts on long-term
carbon sequestration. The primary method for dating these events is through
radiocarbon (14C) measurements, which provide a timeline for biomass burning up to
about 50,000 years ago.
However, translating these raw data into actionable insights requires sophisticated
calibration and analysis, a process that has yet to be fully automated at scale.


This internship aims to develop and implement an innovative pipeline to automate
the calibration and analysis of hundreds to thousands of 14C dates from soil charcoal
The project’s goal is to generate accurate, reproducible temporal graphs and density
maps that researchers can use to study the spatial and temporal patterns of past
biomass burning. By focusing on the automation of this process, the internship will
contribute to a deeper understanding of the drivers behind historical wildfire events and
their impact on the global carbon cycle.


– Thomas Gazagnaire and Arthur Wendling — Tarides,
– Christopher Carcaillet —  LEHNA research unit

Your Key Responsibilities

– Literature Review and Replication Study: Study the state of art and replicate the
  scientific analyses on existing datasets, to identify any complexity that hinder
  reproductibility. This part will require some mathematical intuition to discover the
  computations involved and a keen interest in climate change science. 
is a good starting point.
– Technology Mastery: Learn and master the OCurrent (
   technology, an OCaml ( library known for its efficiency in automating
   large data-pipeline processing. This task will involve designing a preliminary automated
   pipeline, presenting it for feedback from scientists and engineers, and refining the
  approach based on their input. This step offers a unique opportunity to delve into
  functional programming and contribute to the cutting-edge field of climate science
  research automation.
– Implementation and Testing: Develop the final automated pipeline, ensuring it meets
   the needs for incrementality, traceability, and reproducibility. The intern will apply their
   programming skills to solve real-world scientific problems, making the research process
  more efficient and reliable.

Your profile

– Expected level: about 3-5 years into CS studies, so end of BSc or during a Master degree
-Strong background in mathematics or computer science, with a keen interest in
  climate science.
– Proficiency in OCaml or another functional programming language; prior experience
  with OCurrent is an advantage but not required.
– Excellent problem-solving and analytical skills.
– Ability to communicate complex technical concepts clearly and effectively.
  This is especially important for they will have to communicate with experts from
   different domains.

Why us?

We provide you with :

  • An opportunity to have an impact on a growing company and change the industry to use safer, more reliable, and more performant tools.
  • Nice offices in the center of Paris and Cambridge
  • Flexibility to work remotely
  • International team with 15 different nationalities
  • Regular events with the whole team (Bi-yearly offsite, Monthly All-Hands meeting, monthly team-building event …)

Additional information 

Duration of the internship : 3 months minimum
Paid internship

Our recruiting process’ steps

Interested candidates are encouraged to apply by submitting a CV and a cover letter detailing their interest in the project, and any relevant academic or project work.

If shortlisted, you will have two online interviews, starting with a general interview with HR and followed by a technical discussion with the hiring manager.

We look forward to welcoming a motivated intern to our team to advance this critical area of climate science research.

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