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Postdoctoral Researcher Short-Term Wind and Solar Power Forecasting

Job in 1001, Lausanne, Canton de Vaud, Switzerland
Listing for: EPFL
Seasonal/Temporary, Contract position
Listed on 2026-01-03
Job specializations:
  • Engineering
    Artificial Intelligence, Research Scientist
  • Research/Development
    Data Scientist, Artificial Intelligence, Research Scientist
Salary/Wage Range or Industry Benchmark: 30000 - 80000 CHF Yearly CHF 30000.00 80000.00 YEAR
Job Description & How to Apply Below
Position: Postdoctoral Researcher on Short-Term Wind and Solar Power Forecasting

Postdoctoral Researcher on Short-Term Wind and Solar Power Forecasting

Join the Postdoctoral Researcher on Short-Term Wind and Solar Power Forecasting role at EPFL
.

5 days ago – Be among the first 25 applicants.

The Wind Engineering and Renewable Energy (WiRE) Laboratory at the École polytechnique fédérale de Lausanne (EPFL) is looking to fill a post‑doctoral position in the field of short‑term (6h to 24h) power forecasting of renewable energy sources (wind and solar). The successful candidate will work on the development of hybrid forecasting models combining numerical weather prediction (NWP) models with artificial intelligence (AI) techniques for wind and solar energy production.

Mission

The research framework involves data collected from various wind and solar power plants in Switzerland and worldwide. By using long time series of wind/solar power production and NWP outputs (big data), the candidate will focus on the development and testing of new forecasting models, with a special emphasis on novel AI‑based methods (e.g., deep learning, explainable and physics‑informed AI, large language models, etc.).

The position will be developed within the funded project entitled “Urban Twin:
An urban digital twin for climate action:
Assessing policies and solutions for energy, water and infrastructure”, as part of the ETH‑Joint Initiative funding program.

Required Qualifications
  • A completed PhD degree.
  • Experience in machine‑learning methods.
  • Some skill in at least one of the following topics: large data sets analysis, statistics and uncertainty analysis (probabilistic), weather modelling (Numerical Weather Prediction), computing experience with Python.
  • Excellent English writing and speaking skills.
  • Strong peer‑reviewed journal publication record.
Benefits
  • A stimulating and international working environment in the EPFL campus/Lausanne.
  • Competitive salary and excellent working conditions.
  • Opportunity to perform state‑of‑the‑art research in one of the most dynamic scientific institutions in Europe.
Contract Information

Contract

Start Date:

as soon as possible.

Activity Rate: 100%.

Contract Type: CDD (fixed‑term).

Duration: one year with possibility of renewal.

Application

Reference: Please send a single PDF file including CV, a brief research statement and contact details of 3 reference persons.

For any further information, please contact Prof. Porté‑Agel te-agel.

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