PostDoc (f/m/x) in Multivariate Algorithms and Quasi-Monte Carlo Methods
PostDoc (f/m/x) in Multivariate Algorithms and Quasi-Monte Carlo Methods
Flexible ArbeitszeitenDiversity-Statement
Kontaktperson
Überblick
Die Österreichische Akademie der Wissenschaften sucht eine Person als PostDoc. Du arbeitest in Multivariaten Algorithmen und Quasi-Monte Carlo Methoden. Du brauchst einen Doktortitel in Mathematik. Wichtig sind Erfahrung in numerischer Analyse und Englischkenntnisse.
Du arbeitest in Linz und kannst flexibel arbeiten.
Erstellt mit künstlicher Intelligenz
OeAW - Discovering the future
As a central non-university institution for science and research, the Austrian Academy of Sciences - OeAW has the task of "promoting science in every respect". Founded in 1847 as a learned society, it now has over 760 members and around 1,800 employees dedicated to innovative basic research, interdisciplinary knowledge exchange and the dissemination of new insights.The OeAW initiates and maintains partnerships worldwide and represents Austria in international scientific organizations; it cooperates with numerous institutions in the scientific field in order to actively shape the research landscape.
PostDoc (f/m/x) in Multivariate Algorithms and Quasi-Monte Carlo Methods
Job ID: RICAM129PD225
The Austrian Academy of Sciences (OeAW), Austria’s leading non-university research and science institution, is offering a Position as
PostDoc (f/m/x) in Multivariate Algorithms and Quasi-Monte Carlo Methods
(Vollzeit)
Your Tasks
The position is within the framework of the FWF-funded project P34808, “Information-Based Complexity: Beyond the Standard Settings” led by Dr. Peter Kritzer, and is affiliated with RICAM, located in Linz/Austria.
The hired person should work on problems in Information-Based Complexity, Approximation Theory, and related subjects.
For further information, please contact Dr. Peter Kritzer at peter.kritzer@ricam.oeaw.ac.at
Your Profile- Completed doctorate in mathematics or applied mathematics.
- Strong background in fields related numerical analysis, in particular Information-Based Complexity, Approximation Theory, or Multivariate Algorithms.
- Experience in mathematical research at an internationally competitive level, in publishing results in internationally refereed journals of high quality, and in giving scientific presentations at international conferences and workshops.
- Strong skills of English.
- Excellent opportunities to work in a lively research environment and collaborate with international experts in the fields related to the project.
- A monthly gross salary of € 4932,90 (before taxes) according to the salary scheme of the Austrian Science Fund (FWF).
- Numerous voluntary social benefits
- Flex time arrangement
- Opportunity to work independently and develop personally
The Austrian Academy of Sciences (OeAW) pursues a non-discriminatory employment policy and values equal opportunities, as well as diversity. Individuals from underrepresented groups are particularly encouraged to apply.
Contact
Peter Kritzer | Peter.Kritzer@oeaw.ac.atRICAM | 4040 Linz, Österreich
Österreichische Akademie der Wissenschaften | Austrian Academy of Sciences | https://www.oeaw.ac.at/
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