PhD in Cognitive Digital Twins, Knowledge Graphs, Edge Computing and AI

Laplace Expert Ltd; West-Vlaanderen; Remote; EUR 20,000 - 27,000; Full time

Benefits offered by this job

Stipend

Scholarship funding

Job summary

KU Leuven invites applications for a PhD researcher position in cognitive digital twins, knowledge graphs, edge computing and artificial intelligence at Campus Kulak in Kortrijk. The doctoral project explores cognitive digital twins that combine knowledge representation, AI and distributed computing within the Stream Intelligence Lab.

The appointment is initially one year full-time, with potential continuation to a four-year PhD trajectory.

Qualifications

• Applicants should hold a Master's degree in computer science, artificial intelligence or a closely related field.
• Relevant background in knowledge representation, machine learning, database systems, stream processing, logic or edge computing is expected.

Responsibilities

• Research cognitive digital twins that combine knowledge representation, artificial intelligence and distributed or edge computing.
• Work on semantic models, reasoning and intelligent processing for dynamic digital-twin environments.

Skills

Knowledge graphs

Artificial intelligence

Machine learning

Stream processing

Database systems

Logic

Edge computing

Education

Master's degree in Computer Science / AI

Job description

PhD in Cognitive Digital Twins, Knowledge Graphs, Edge Computing and AI

Apply by 30 Oct 2026

About This Opportunity

KU Leuven is recruiting a PhD researcher in cognitive digital twins, knowledge graphs, edge computing and artificial intelligence at Campus Kulak in Kortrijk. Applications close on 30 October 2026.

The doctoral project investigates cognitive digital twins that combine knowledge representation, artificial intelligence and distributed or edge computing. Research will be conducted within the Stream Intelligence Lab and will address semantic models, reasoning and intelligent processing for dynamic digital-twin environments.

Level

PhD

Attendance

On-campus

Time Commitment

Full-time

Duration

Initial one-year full-time appointment; continuation may lead to a four-year PhD trajectory.

Field

Cognitive Digital Twins and Knowledge Graphs

Specialization

Artificial Intelligence & Data Science

Organization Type

University

Funding & Compensation

• Amount Scholarship
• Funding Type Scholarship
• Stipend Yes

Requirements

Education

Applicants should hold a Master's degree in computer science, artificial intelligence or a closely related field.

Experience

Relevant background in knowledge representation, machine learning, database systems, stream processing, logic or edge computing is expected.

Technical Skills

• Knowledge graphs
• Artificial intelligence
• Machine learning
• Stream processing
• Database systems
• Logic
• Edge computing