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analysis using deep learning algorithms Detecting anomalies and dependence structures in high dimensional, high frequency financial data During the project, the PhD students will closely collaborate with
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Benefits Work in a dynamic group. Eligibility criteria Good command of English. Knowledge in project field. Phd in econometrics/statistics Selection process Please see https://fondurieuropene.ase.ro/anunturi
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knowledge in statistical and econometric modeling, scientific-oriented thinking, communication and team skills, with a PhD in the field of economics, (business) mathematics, (business) informatics, statistics
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knowledge in statistical and econometric modeling, scientific-oriented thinking, communication and team skills, with a PhD in the field of economics, (business) mathematics, (business) informatics, statistics
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Benefits Work in a dynamic group. Eligibility criteria Good command of English. Knowledge in project field, Phd in finance / economy and international affairs / cybernetics and statistics Selection process
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complex market dynamics . Assets, principal investigator Prof. Dr. Ciprian Andrei Tudor. The position is limited until 30/06/2026. Applicants with a solid practical experience in statistics and stochastic
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. Applicants must demonstrate contributions and publications in the field of statistical mathematics and stochastic modeling that demonstrate research expertise and ability. You must be enrolled in a doctoral
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PhD level in the field of economics, (business) mathematics, (business) informatics, statistics or similar with above-average success. As a member of our team, you will deal with challenging questions