PhD Stipend in AI: EcoNet Lab at Aalborg University, Denmark

Summary:

Aalborg University is offering a PhD stipend within the AI:EcoNet Lab, focusing on graph representation learning to understand and predict interactions in dynamic ecological networks. This is part of the AI:X initiative aimed at advancing AI research through interdisciplinary collaboration.

PhD Stipend in AI:EcoNet Lab at Aalborg University, Aalborg University, Denmark

Designation:

PhD Candidate

Research Area:

• Graph Representation Learning
• Ecological Systems
• Dynamic Network Modeling

Eligibility/Qualification:

• Master’s degree in Computer Science, Mathematics, Statistics, Physics, or relevant fields.
• Strong background in machine learning, including probabilistic modeling and graph representation learning.
• Proficient in programming (e.g., Python) and familiar with deep learning frameworks (e.g., PyTorch).
• Interest in ecological or biological networks.
• Good analytical and communication skills; proficiency in English (written and spoken).

Job Description:

The successful candidate will:

• Develop novel models for understanding and predicting complex biological networks.
• Focus on representation learning methods for static and temporal networks.
• Collaborate with interdisciplinary teams to capture the evolution of networks over time.

How to Apply:

Interested candidates should submit the following documents:

• A cover letter outlining motivation and research interest.
• Curriculum vitae (CV).
• Grade transcripts and BSc/MSc diploma (in English).
• Contact information for references.
• Publication list (if available).

Applications must be submitted via Aalborg University’s recruitment system as per the job advertisement on their website.

Last Date to Apply:

02.08.2026

For further inquiries regarding the scientific aspects of the stipend, contact Assistant Professor Abdulkadir Celikkanat at abce@cs.aau.dk.

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