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School of Engineering and Management Vaud, HES-SO University of Applied Sciences and Arts Western Switzerland

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Fully Funded PhD Position in Computer Science: Graph Neural Networks and Decentralised AI School of Management (HEG Genève), HES-SO Geneva in Switzerland

Degree Level

PhD

Field of study

Computer Science

Funding

Fully funded PhD position under an SNSF project on Decentralised Human-Centric AI of Things.

Deadline

Oct 30, 2026

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Country

Switzerland

University

School of Engineering and Management Vaud, HES-SO University of Applied Sciences and Arts Western Switzerland

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Keywords

Computer Science
Information Technology
Mathematics
Artificial Intelligence
Stream Processing

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About this position

Fully funded PhD opportunity in Computer Science at HEG Genève, HES-SO Geneva, within an SNSF project on Decentralised Human-Centric AI of Things.

The project focuses on graph neural networks (GNNs) and decentralised AI, with related interests in knowledge graphs and stream processing. This is a strong fit for candidates interested in AI methods, graph-based learning, and data-intensive intelligent systems.

Eligibility highlights: applicants should hold a Master's degree in Computer Science or an equivalent degree. Strong programming and machine learning skills are required, and prior knowledge of GNNs is specifically mentioned as important. Experience with knowledge graphs and stream processing is considered an asset.

Funding: the position is explicitly described as fully funded.

Deadline: 30 October 2026.

If you are interested in research at the intersection of AI, graph learning, and decentralised systems, this PhD opening may be a good match.

Funding details

Fully funded PhD position under an SNSF project on Decentralised Human-Centric AI of Things.

What's required

Master's degree in Computer Science or an equivalent degree. Excellent programming and machine learning skills are required, including experience with graph neural networks; knowledge of knowledge graphs and stream processing is an asset.

How to apply

Apply now through the opportunity announcement. No direct application portal link is provided in the post.

More information can be found here

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