Post-DocApplications Closed
Kerstin Bunte
University of Groningen, The Netherlands
Position Details
Apply by Aug 2, 2024
Post-Doc
University of Groningen, The Netherlands
Application deadline
Aug 2, 2024
Job
Job location
University of Groningen, The Netherlands
Quick Information
Application Deadline
Aug 2, 2024
Start Date
Flexible
Education Required
See description
Experience Level
—
Job
Job location
University of Groningen, The Netherlands
Job Description
We offer a postdoctoral researcher position within the Bernoulli Institute for Mathematics, Computer Science and Artificial Intelligence at the University of Groningen, The Netherlands. The position is funded by an NWO Vidi project named “mechanistic machine learning: combining the explanatory power of dynamic models with the predictive power of machine learning“. Systems of Artificial Intelligence (AI) and Machine Learning (ML) gained a tremendous amount of interest in recent years, demonstrating great performance for a wide variety of tasks, but typically only if they are trained on huge amounts of data. Moreover, frequently no insight into the decision making is available or required. Experts desire to know how their data can inform them about the natural processes being measured. Therefore we develop transparent and interpretable model- and data-driven hybrid methods that are demonstrated for applications in medicine and engineering. As a postdoc, you will work together with Kerstin Bunte and her team within the Intelligent Systems group, as well as a network of interdisciplinary collaborators in the UK and Europe from various fields, such as Computer Science, Engineering and Applied Mathematics.
Requirements
- The successful applicant has: a PhD degree in computer science
- applied mathematics
- engineering or other relevant fields
- a keen interest in at least one of the following topics: machine learning (Bayesian methods)
- dynamic systems (differential equations)
- information -theory and/or applied mathematics
- such as system identification
- structural identifiability
- model reduction or sampling techniques
- a working proficiency in English (knowledge of the Dutch language is not required).
Job
Job location
Coordinates pending.
University of Groningen, The Netherlands
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