MINES Paris - PSL
2 months ago
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Postdoc in Deep Learning for Water Temperature Monitoring and Prediction MINES Paris PSL in France
Degree Level
Postdoc
Field of study
Computer Science
Funding
Postdoctoral position lasting 9 months. Funding details such as stipend amount are not stated in the post.
Deadline
Oct 15, 2026
Country
France
University
MINES Paris - PSL

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About this position
Postdoc opportunity at MINES Paris PSL (Ecole des mines de Paris) in the Paris/Fontainebleau area, France, focused on deep learning, machine learning, water temperature monitoring, analysis, and prediction.
The postdoctoral researcher will contribute to the Aquathermie project, developing innovative AI-based solutions for environmental and territorial knowledge in collaboration with stakeholders in the Seine basin. The work is positioned at the intersection of computer science, environmental science, earth science, hydrology, climate adaptation, and energy transition.
Eligibility highlights: applicants should have a doctoral degree or engineering degree, or proof of successful defense. Strong expertise in machine learning, especially deep learning, is emphasized. The post also asks for a CV, cover letter, two recommendation letters, a copy of the PhD/engineering diploma or defense certificate, and main scientific publications.
Duration: 9 months. Deadline: application before 2026-10-15.
How to apply: prepare a single ZIP file with the requested documents and submit it via the application link. Contact: [email protected].
Funding details
Postdoctoral position lasting 9 months. Funding details such as stipend amount are not stated in the post.
What's required
Applicants should have a doctoral degree or engineering degree, or proof of successful defense. Strong skills in machine learning, especially deep learning, are required, along with interest in using data for energy transition and territorial/environmental analysis. Main scientific publications, a CV, a cover letter, and two letters of recommendation are requested.
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