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Posted 6 days ago

Postdoctoral Researcher in Deep Learning for Groundwater Forecasting

@ European Geosciences Union (EGU)

Chicoutimi, Quebec

Full-time
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Overview

Université du Québec à Chicoutimi (UQAC) is hiring a postdoctoral researcher for a project with the Québec Ministry of the Environment (MELCCFP) on deep learning for groundwater-level forecasting. The role is full-time on site in Chicoutimi, up to 12 months on contract, at CAD 60,000 gross per year, with a PhD required.

Responsibilities:

  • Develop deep learning models for groundwater-level forecasting
  • Work on model generalization, uncertainty quantification and interpretability
  • Conduct independent research in partnership with MELCCFP

Requirements summary:

  • Completed PhD in AI, data science, computer science, applied mathematics or related field
  • Demonstrated deep learning expertise, independently developing and debugging neural networks
  • Excellent Python skills with PyTorch or TensorFlow
  • Experience in time-series forecasting, transfer learning or uncertainty quantification is an asset

Tools & skills

Source and dates

Source type not verified · apify-linkedin

Employer posting date
2026-11-08
First seen by our source
2026-11-14
Source record updated
2026-11-14

These dates describe the source record, not a live verification that the employer is still hiring. Check the original posting.

Job details

SeniorityMid level
DepartmentResearch & science
Hours per week40 (estimated)
Travelair: none · ground: none
Work settingOffice, Laboratory
PositionMostly sitting
Physical demandsphysical low · computer high
EducationDoctorate (required)
Fields of studyArtificial Intelligence, Data Science, Computer Science, Applied Mathematics

Summary and details written by AI from the posting; the employer’s posting is the authority.

European Geosciences Union (EGU)

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Job description
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Position

Postdoctoral Researcher in Deep Learning for Groundwater Forecasting

Employer

Université du Québec à Chicoutimi (UQAC)

Public research university in Québec, Canada, conducting research in engineering, environmental sciences, and artificial intelligence.

Homepage: https://www.uqac.ca/

Location

Chicoutimi, Canada

Sector

Academic

Relevant divisions

Earth and Space Science Informatics (ESSI)

Hydrological Sciences (HS)

Type

Contract

Level

Experienced

Salary

CAD 60,000 gross per year (prorated if the appointment is shorter than 12 months)

Required education

PhD

Application deadline

Open until the position is filled

Posted

9 November 2026

Job Description

Postdoctoral Researcher – Deep Learning for Groundwater Forecasting

Université du Québec à Chicoutimi (UQAC), Canada

A postdoctoral position is available at UQAC for a research project conducted in partnership with the Québec Ministry of the Environment (MELCCFP).

The project focuses on developing deep learning methods for groundwater-level forecasting, with particular attention to model generalization, uncertainty quantification, and interpretability.

Required Qualifications

  • Completed PhD in Artificial Intelligence, Data Science, Computer Science, Applied Mathematics, or a related field.
  • Strong, demonstrated expertise in deep learning, including the independent development, training, evaluation, and debugging of neural network models.
  • Excellent Python programming skills, with substantial hands-on experience in PyTorch or TensorFlow.
  • Ability to conduct research independently, with strong analytical and problem-solving skills.

Experience in time-series forecasting, transfer learning, or uncertainty quantification is highly desirable. Hydrology or hydrogeology knowledge is an asset, not a requirement.

Applications without demonstrated practical expertise in deep learning and Python will not be considered.

Position Details

  • Location: Chicoutimi, Québec, Canada (on-site).
  • Salary: CAD 60,000 gross per year.
  • Duration: Up to 12 months, with an expected start in early 2027.
  • The funded research project ends in February 2028.

How to apply

Please send your application to [email protected] with the subject "Postdoctoral Application – Deep Learning".

Your Application Must Include

  • A CV with a list of relevant publications.
  • A brief description of a deep learning project you personally implemented, specifying your technical contributions.
  • Links to relevant code or other evidence of practical deep learning experience, if available.

Applications will be reviewed on a rolling basis. Only shortlisted candidates will be contacted.

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