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Kerstin Bunte profile picture

Kerstin Bunte

Has grant

Professor at University of Groningen

University of Groningen
Country flagNetherlands

Research Interests

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About

Professor Kerstin Bunte is a faculty member at the University of Groningen in the Netherlands. Her research spans various areas, including interpretable modelling and visualization of biomedical data, as well as the detection and characterization of cavities in interstellar mediums. She has contributed significantly to the study of large-scale structures in astrophysics and has developed innovative approaches to color texture analysis and swarm intelligence-based computation.

Recent Grants

Grant: Open

Exploring the Deep Universe by Computational Analysis of Data from Observations

Open Date: 2024-09-01

Close Date: 2029-08-01

Grant: Close

Mechanistic machine learning: combining the explanatory power of dynamic models with the predictive power of machine learning

Open Date: 2021-01-01

Close Date:

Grant: Close

Swarm collaborative Multi-Agent cybeR physical sysTems with shAred sensinG modalitiEs, 5G commuNication and micro-elecTromechanical Sensor arrays (SMART-AGENTS)

Open Date: 2020-01-01

Close Date: 2024-01-01

Grant: Close

SUrvey Network for Deep Imaging Analysis and Learning

Open Date: 2017-04-01

Close Date: 2021-03-31

Grant: Close

Learning in the Space of Dynamical Models of Adrenal Steroidogenesis “LeSoDyMAS”

Open Date: 2015-07-13

Close Date: 2017-07-12

Positions (1)

Publisher
source

Kerstin Bunte

University Name
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University of Groningen

A full-time PhD position is available at the University of Groningen, The Netherlands, focusing on the machine learning-based implementation of constitutive behaviour of stainless steel. The research will be embedded within the Faculty of Science and Engineering (FSE), specifically in the Engineering and Technology Institute Groningen (ENTEG), and in collaboration with the Bernoulli Institute (BI). The project offers an exciting opportunity to work on sustainable materials, simulation modeling, and advanced machine learning with real industrial relevance, including green steel and metal forming. Applicants should have a Master's degree in mechanical engineering, materials science, computer science, applied mathematics, or a closely related field. The position is supervised by Jan Post and Kerstin Bunte. The application deadline is 15 September 2025, and the expected start date is 1 January 2026. For more information and to apply, visit the provided link. Funding details are not specified but PhD positions at the University of Groningen are typically fully funded. Interested candidates are encouraged to contact the supervisors for further questions.

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Collaborators (15)

Wiebke Arlt

Professor of Transdisciplinary Medicine and Head of Department

Imperial College London

UNITED KINGDOM
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Frank Mol

University of Groningen

NETHERLANDS
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Stephane De Brito

University of Birmingham

UNITED KINGDOM
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Peter Tiňo

University of Birmingham

UNITED KINGDOM
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Michael Biehl

Scientific Staff, Professor, Hoogleraar

University of Groningen

NETHERLANDS
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Michael H. F. Wilkinson

Scientific Staff, Associate Professor, Universitair hoofddocent

University of Groningen

NETHERLANDS
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Marco Canducci

University of Birmingham

UNITED KINGDOM
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Martin H. de Borst

University Medical Center Groningen

NETHERLANDS
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Joss Bland-Hawthorn

ARC Laureate Professor

University of Sydney

AUSTRALIA
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Sreejita Ghosh

Eindhoven University of Technology

NETHERLANDS
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Mohammad Mohammadi

Tilburg University

NETHERLANDS
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Janette Burgess

Scientific Staff

University Medical Center Groningen

NETHERLANDS
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Sergey Koposov

Professor, Personal Chair of Astronomy

University of Edinburgh

UNITED KINGDOM
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Reynier Peletier

Professor

University of Groningen

NETHERLANDS
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Tamas Szili-Torok

Assistant Professor

Semmelweis University

HUNGARY
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