Publisher
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Kevin Mets

3 months ago

Doctoral scholarship holder in Artificial Intelligence: Continual Graph Learning University of Antwerp in Belgium

Degree Level

PhD

Field of study

Computer Science

Funding

Available

Deadline

Expired

Country flag

Country

Belgium

University

University of Antwerp

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Keywords

Computer Science
Machine Learning
Electrical Engineering
Deep Learning
Smart Grid Technology
Mathematics
Artificial Intelligence
Python Programming
Gesture Recognition
Human Activity Recognition
Text Classification
Energy Forecasting
Statistics

About this position

The University of Antwerp is offering a full-time doctoral scholarship holder position in Artificial Intelligence, focused on continual graph learning. The project sits within the Department of Electronics and Information and Communication Technology in the Faculty of Applied Engineering and is connected to IDLab research on continual graph learning. The research explores how graph neural networks can learn from a sequence of evolving tasks, graphs, or distributions while retaining previously learned knowledge.

This PhD project is suitable for candidates interested in machine learning, deep learning, graph-based learning, and applied AI. Potential application areas mentioned in the call include gesture recognition, human activity recognition, and energy forecasting in smart grids (such as demand, supply, and flexibility forecasting). The doctoral researcher will publish scientific articles and perform a limited number of teaching and research support tasks.

The position is based at the University of Antwerp, with work mainly at City Campus (The Beacon) and Campus Groenenborger. The university describes itself as a dynamic, internationally oriented institution with strong research activity and a broad doctoral training environment through the Antwerp Doctoral School.

Eligibility highlights include a master’s degree in Computer Science, Informatics, Mathematics, or a closely related field, excellent academic results, strong English proficiency, experience with deep learning, and Python coding experience with toolkits such as PyTorch. Applicants are also expected to show strong analytical, problem-solving, and collaborative qualities.

Funding is provided as a doctoral scholarship for one year, renewable annually for up to three additional years after positive evaluation. In addition to the scholarship amount, the package includes eco vouchers, an internet-connectivity allowance, and either a bicycle allowance or full reimbursement of public transport costs for commuting.

The application deadline is 16 August 2026 at midnight Brussels time. Applicants must submit a motivation letter, academic CV with transcript, two reference letters, an English proficiency certificate, and a research proposal of up to four pages excluding references. The proposal should cover the problem statement, expected novelty and impact, brief approach, evaluation plan, and alignment with IDLab’s research.

Funding details

Available

What's required

Applicants must hold a master’s degree in Computer Science, Informatics, Mathematics or a closely related field, or expect to have obtained it by the start date. Strong academic performance is required. Applicants should have a strong interest in machine learning/artificial intelligence and graph-based learning (e.g. graph neural networks), experience with deep learning, experience coding in Python with deep learning toolkits such as PyTorch, good analytical and problem-solving abilities, and proficiency in English (written and spoken). Teaching competences should align with the University of Antwerp’s educational vision, and research qualities should align with the faculty and university research policies.

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Professors

Assistant Professor at University of Antwerp

University Name
Country flag

Belgium

Research Interests

Artificial Intelligence

Polymer Chemistry

Python Programming

Reinforcement Learning

Optimal Control