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HES-SO Genève

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Fully Funded PhD in Computer Science: Graph Neural Networks and Decentralised AI HES-SO Geneva in Switzerland

Degree Level

PhD

Field of study

Computer Science

Funding

Fully funded PhD position.

Deadline

Oct 30, 2026

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Country

Switzerland

University

HES-SO Genève

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Keywords

Computer Science
Information Technology
Mathematics
Artificial Intelligence
Stream Processing

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About this position

Fully funded PhD position in Computer Science at HES-SO Geneva, Switzerland, within the School of Management (HEG Genève) and an SNSF project on Decentralised Human-Centric AI of Things.

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

Eligibility highlights: a Master's degree in Computer Science or an equivalent degree is required. Applicants should have excellent programming and machine learning skills, including GNNs; knowledge of knowledge graphs and stream processing is considered an asset.

Funding: fully funded PhD position.

Deadline: 30 October 2026.

Interested candidates should apply as soon as possible via the link shared in the post and ensure their profile matches the technical requirements.

Funding details

Fully funded PhD position.

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 linked in the post. Review the requirements carefully and submit your application before the deadline.

More information can be found here

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