Kristof Van Laerhoven profile picture

Kristof Van Laerhoven

Professor

University of Siegen
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About

Kristof Van Laerhoven is a Professor at the University of Siegen in Germany. His research interests encompass artificial intelligence applications in activity recognition, data analysis in wireless networks, and the intersection of technology with justice and equity. Recent publications include work on AI-driven path generation for dispensing applications and the evaluation of machine learning models for sentiment analysis. He also contributes to advancing methodologies in human activity recognition and accessible computing practices.

Positions (2)

Publisher
source

Kristof Van Laerhoven

University Name
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University of Siegen

A full-time PhD position is available in the research team of Professor Kristof Van Laerhoven at the University of Siegen, Germany. The research focuses on wearable sensing and activity recognition, with an emphasis on ubiquitous computing and sensor data analysis. The successful candidate will join a dynamic group working on cutting-edge projects in these areas. The position is for three years, and applicants should have a background in computer science, engineering, or related disciplines. Experience or interest in wearable technologies and machine learning is desirable. Funding details are not specified, but the role is a full-time PhD studentship. Interested candidates should apply via the University of Siegen's job portal using the provided link. No specific deadline is mentioned, so early application is encouraged.

Publisher
source

Kristof Van Laerhoven

University Name
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University of Siegen

Open PhD position at the University of Siegen with Professor Kristof Van Laerhoven . The project focuses on human activity recognition using embedded, real-time machine learning algorithms . This is a research-oriented PhD opportunity for someone who enjoys building intelligent systems, working with embedded computing, and publishing academic research. Research keywords: human activity recognition, embedded systems, real-time machine learning, machine learning, research. Eligibility highlights: the post does not list formal requirements such as a specific degree, GPA, or language test score, but it clearly seeks a candidate with strong research interest and motivation to publish. Funding: no funding details are mentioned in the post. How to apply: reach out directly to Professor Kristof Van Laerhoven via his LinkedIn profile or the post link to express interest and discuss the position.

Articles (18)

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Collaborators (10)

Hilde Kuehne

Professor

University of Bonn

GERMANY
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Mark Philip Richardson

King’s College London

UNITED KINGDOM
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Ralf Mikut

Head of Research Area

Karlsruhe Institute of Technology

GERMANY
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Matthias Dümpelmann

-

GERMANY
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Michael Moeller

Professor

University of Siegen

GERMANY
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Andrea Biondi

King’s College London

UNITED KINGDOM
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Elisa Bruno

King’s College London

UNITED KINGDOM
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Andreas Schulze-Bonhage

Professor

University Medical Center Freiburg

GERMANY
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Qin Lv

University of Colorado Boulder

UNITED STATES
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Christian Haubelt

University of Rostock

GERMANY
View details
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