PostDoc in Multivariate Algorithms and Quasi-Monte Carlo Methods
PostDoc in Multivariate Algorithms and Quasi-Monte Carlo Methods
Austrian Academy of Sciences
Linz, Austria
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.
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.
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