Summary
A prestigious PhD position is available focusing on the advancement of AI-based forecasting models to enhance renewable energy integration into power systems. Candidates will work on improving prediction accuracy, addressing real-world challenges, and contributing to cutting-edge research in renewable energy forecasting.
PhD Position in Advanced AI-Based Forecasting Models, Tallinn University of Technology, Estonia
Designation
PhD Researcher in Advanced AI-Based Forecasting Models
| Category | Details |
|---|---|
| Research Area | AI-driven forecasting models for renewable energy integration |
| Location | Tallinn University of Technology (TalTech), Estonia |
| Eligibility/Qualification | Master’s in Electrical Engineering, Computer Science, or related field |
| Language Proficiency | Proficient in English (CEFR level C1 or above) |
| Technical Skills | Experience in machine learning, programming (Python, MATLAB, R), and data analytics |
| Desired Experience | Familiarity with deep learning frameworks (e.g., PyTorch, TensorFlow), and edge AI systems |
Job Description
The successful candidate will:
- Develop advanced AI models (GNNs, CNN-LSTM, Transformers) for capturing spatial-temporal patterns.
- Integrate multi-source data for short- and long-term forecasting.
- Design and optimize hybrid AI architectures using attention mechanisms and evolutionary algorithms.
- Implement probabilistic and explainable AI methods to enhance prediction transparency and interpretability.
- Optimize models for real-time deployment on edge devices.
How to Apply
Interested candidates should submit the following:
- A motivational essay discussing intriguing research aspects and future goals.
- A proposal on the expansion of listed research questions you find motivating.
- Updated curriculum vitae (CV).
Applications can be submitted to the following email addresses:
- Dr. Avleen Malhi: avleen.malhi@taltech.ee
- Noman Shabbir: noman.shabbir@taltech.ee
- General inquiries: docstudy@taltech.ee
Last Date to Apply
Applications can be submitted from June 18, 2026, to July 18, 2026.
This is a unique opportunity to contribute to impactful research while collaborating with leading experts in renewable energy and AI at one of Estonia’s top universities.
