[Job Description] PostDoctoral Position in Machine Learning in Economics and Decision Sciences, Department of Economics at Copenhagen Business School
The two-year postdoc has a research component and limited teaching. While also continuing to pursue their own research interests, the postdoc will work with the group of Prof. Dolores Romero Morales, who has leading expertise in, among others, transparency in AI, interpretable machine learning and the role of mathematical optimization in these fields. In addition, she is the coordinator and scientific leader of the EU H2020 MSCA RISE European Network of Data Scientists project, www.riseneeds.eu. Candidates from any field with an interest in machine learning are encouraged to apply. Candidates could have a background in machine learning, in mathematical optimization, or in more applied fields such as economics, if they have a strong interest in applying state of the art machine learning techniques in their research.
Thriving research environment, great colleagues, great place to live!
For more information on how to apply follow the link below.
https://www.cbs.dk/cbs/jobs-paa-cbs/ledige-stillinger/postdoc-in-machine-learning-in-economics-and-decision-sciences
Looking forward to receive your application!
Dolores Romero Morales
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Dr Dolores Romero Morales
Professor in Operations Research
Co-organizer of Machine Learning NeEDS Mathematical Optimization Online Seminar Series, https://congreso.us.es/mlneedsmo/
Coordinator and scientific leader of H2020 RISE NeEDS project, www.riseneeds.eu
Editor-in-Chief of TOP, the Operations Research Journal of the Spanish Society of Statistics and Operations Research
Department of Economics
Copenhagen Business School
Denmark
