Post-doctoral researcher – REVGEOIA project: artificial intelligence algorithm to optimise geopolymer coating formulations
Université de Limoges · State civil service
En français : Post-doctorant·e – Projet REVGEOIA : algorithme d'intelligence artificielle pour l'optimisation de revêtements géopolymères
This job in plain words
The job is to develop an artificial intelligence algorithm to optimise the formulation of a geopolymer coating for antennas. It is based in Limoges, at the IRCER research centre, and involves working with a PhD student.
Can you apply?
Open to contract staff only. The PhD must have been obtained at most three years before the contract starts (decree no. 2021-1450).
- Category
- Category A (executive)
- Diploma
- Ph.D. · Doctorate (level 8), multidisciplinary sciences.
- Experience
- Beginners accepted.
- Contract
- Contract staff only. Contract type and length not stated.
The profile they want:
- PhD in AI, machine learning, deep learning or data processing.
- Knowledge of materials science and chemistry, a strong asset.
- Able to structure and analyse experimental data.
- Rigour and scientific curiosity.
- Autonomy and initiative in carrying out the work.
- Team spirit.
What you would do
- Prepare experimental data and choose the useful variables.
- Develop and train machine learning models (GAN, DNN, Bayesian optimisation).
- Validate the model and assess its results.
- Use the model to predict the best synthesis conditions.
- Produce three-dimensional descriptor-property maps.
How to apply
Apply by email, as stated on the offer page on Choisir le Service Public. Attach your CV, cover letter and diploma.
Documents to send:
- CV
- Cover letter
- PhD diploma or proof of success (or certificate giving the future defence date)
Good to know:
- Applications without a diploma or proof of success are considered inadmissible.
- Position may become vacant from 1 March 2027.
- Works with a PhD student to build up the database.
We wrote this summary automatically from the official offer. Only the offer published on Choisir le Service Public counts: read it before you apply. Source: Choisir le Service Public (DGAFP), Etalab 2.0 licence.
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