ESR-3: PhD at the University of Groningen, The Netherlands
Morphological Image Analysis of Conduction Maps
Prof. dr. Jos Roerdink
Dr. Michael Wilkinson (University of Groningen, The Netherlands)
Dr. Peter Kruizinga (Océ B.V., The Netherlands)
Morphological image analysis of conduction maps
The project is focused on the extraction and analysis of local conduction maps measured in memristors, based on techniques from mathematical morphology. The research objectives are to develop path-based morphological image analysis algorithms to extract elongated structures like domain walls and paths from conduction maps that can be used as input for machine learning approaches. The main part of the research will be performed at the Bernoulli Institute for Mathematics, Computer Science and Artificial Intelligence, University of Groningen. Additionally, the ESR will spend the secondments at Océ B.V., the Netherlands to acquire industrial experience and to help developing image analysis modules that monitor print quality in real time (3 months)and at Polytechnique Federale de Lausanne, Switzerland for Mapping of their synthesized networks (1 Month).
The University of Groningen is the second oldest in the Netherlands. With its 6500 employees, it houses ~30000 students (incl. 3750 international students) and 1500 PhD students, 48% of whom are international. It belongs to the top 100 research universities in the world and is a member of the distinguished international Coimbra Group of European universities. The University of Groningen is in the top 3 of European research universities in the fields of Material Sciences and Chemistry.
The Bernoulli Institute focused on modeling, computation, and cognition with a focus on science and technology, keeping a balanced mix of fundamental and applied aspects. It plays a leading role in the cross-disciplinary research theme on Data Science and Systems Complexity (DSSC) of the Faculty. The research within MANIC belongs to the research initiative CogniGron (Groningen Cognitive Systems and Materials center), that joints the expertise from the Bernoulli Institute and that of the Zernike Institute for Advanced Materials. A holistic approach that coordinates efforts in materials science, physics, mathematics, computer science and artificial intelligence to develop materials and systems that can learn, towards a future cognitive computer.
For more details on the project, contact firstname.lastname@example.org