Offre en lien avec l’Action/le Réseau : – — –/– — –
Laboratoire/Entreprise : Institut für Mathematik und Informatik, University
Durée : 3 ans
Contact : joscha.diehl@uni-greifswald.de
Date limite de publication : 2020-12-10
Contexte :
This position is part of the international project EDDA between France Germany and Japan, jointly funded by ANR, DFG and JST (https://sites.google.com/view/project-edda/project-edda)
Background on the project
Our international and inter-disciplinary team of researchers from machine
learning, algebra, stochastic analysis, data assimilation and oceanography, aims to
• develop interpretable features of multi-dimensional time-series in a rigorous algebraic framework, based on the iterated-integrals signature, for the analysis of dependence, synchronization and structure
understand how to extract these features in a robust fashion
• develop statistical guarantees for these features in the setting of standard time-series models and benchmark on synthetic data
• use these new – as well as existing – statistical methods to perform original investigation on oceanic and climate data
Sujet :
Prof. J. Diehl is looking to fill the position of a Research Assistant (3 years, 75%, pay group 13 TV-L Wissenschaft)
at the University of Greifswald in the trilateral project EDDA (https://sites.google.com/view/project-edda/project-edda)
This is a pure research position; however, if desired, it is possible to take on teaching responsibilities.
The position is suitable for the preparation of a doctorate.
Profil du candidat :
Job requirements
• Advanced university degree in mathematics, statistics, physics or computer science (Master or
equivalent)
• Fluency in English
• Enthusiasm for data science from a theoretical perspective
• Interest in working with real-life data
• Programming experience is desirable
• Knowledge of algebra (e. g. non-commutative, commutative, representation theory, algebraic
topology) and statistics is favourable
Formation et compétences requises :
Job requirements
• Advanced university degree in mathematics, statistics, physics or computer science (Master or
equivalent)
• Fluency in English
• Enthusiasm for data science from a theoretical perspective
• Interest in working with real-life data
• Programming experience is desirable
• Knowledge of algebra (e. g. non-commutative, commutative, representation theory, algebraic
topology) and statistics is favourable
Adresse d’emploi :
Universität Greifswald, Institut f. Mathematik u. Informatik, 17487 Greifswald (Germany)
Document attaché : 202011111424_phd-position-greifswalds-2020.pdf