14.12.2022, Wissenschaftliches Personal
The BMBF-funded position is part of the CoMPS project, which is a multidisciplinary project combining the fields of mathematics, computer science, geophysics, and high-performance computing.
It aims to improve the performance of the matrix-free finite-element-based framework HyTeG, in particular by techniques for data reduction through surrogate operators. Furthermore, we aim to extend the framework with mixed-precision approaches, which will be implemented and analyzed.
Secondly, we aim at a volume coupling of the high-performance packages waLBerla, HyTeG, and MesaPD to solve complex multiphysics problems. The coupling is done across package boundaries. This also requires more sophisticated approaches in load-balancing.
Finally, the newly developed algorithms will be tested and verified with applications from geodynamics.
For more information consider the job description here .
Tasks
Tasks in the project include
- the efficient implementation of new models, methods, and algorithms into existing high-performance frameworks,
- the fast prototyping of new ideas in individual code,
- an interest in the entire simulation pipeline: starting from simple algorithms to state-of-the-art applications in geophysics executed on supercomputers,
- as well as the presentation of the results to the scientific community in journals, at conferences, and as lecture contributions for students.
Requirements
We require for the position the following:
- A Ph.D. in the field of Applied Mathematics, Computer Science, Computational Science and Engineering, or similar.
- Knowledge of numerics as part of a degree program. In particular, knowledge about finite-element analysis is an absolute must . Familiarity with iterative solvers , preconditioners , multigrid methods , and mixed-precision approaches is optional but extremely useful.
- We require good programming skills and experience in C++ and its common programming idioms and design patterns . Knowledge of MATLAB, Python, Julia, or a similar scripting language is necessary for prototyping.
- Interest and affinity for high-performance computing are necessary for the position. You should have experience with the roofline model and familiarity with a profiler . Experience with GPUs is a bonus.
- Of course, you need fluency in written and spoken English to communicate your ideas in this interdisciplinary project.
Note that we expect from candidates either a strong background in high-performance computing or in numerical analysis. If you think that you have the requirements above, you should apply for this position.
We offer
- a young, dynamic, and international team of scientists from various disciplines, as well as cooperation with international partners,
- an exciting and varied project with many different aspects and possibilities for expansion,
- modern hardware and infrastructure at the workplace, from compute- and GPU servers to supercomputers,
- a salary according to the public service rates (level E13), and
- everything at a renowned and modern university in a beautiful city close to the Alps.
Application
Every application should include
- a motivational letter,
- a curriculum vitae, and
- relevant publications, for instance, your Ph.D. thesis.
Please send your application with your references by e-mail to Prof. Dr. Barbara Wohlmuth ([email protected] ) with “Application: CoMPS” in the subject line. The application deadline is the 26 Feb 2023, or until the position is filled.
The TUM aims to increase the proportion of women in scientific positions and encourages qualified women to apply. Persons with disabilities will be given preferential consideration if equally qualified.
If you have any questions in advance regarding content, please do not hesitate to contact Andreas Wagner ([email protected] ).
The position is suitable for disabled persons. Disabled applicants will be given preference in case of generally equivalent suitability, aptitude and professional performance.
Data Protection Information:
When you apply for a position with the Technical University of Munich (TUM), you are submitting personal information. With regard to personal information, please take note of the Datenschutzhinweise gemäß Art. 13 Datenschutz-Grundverordnung (DSGVO) zur Erhebung und Verarbeitung von personenbezogenen Daten im Rahmen Ihrer Bewerbung. (data protection information on collecting and processing personal data contained in your application in accordance with Art. 13 of the General Data Protection Regulation (GDPR)). By submitting your application, you confirm that you have acknowledged the above data protection information of TUM.
Kontakt: [email protected]
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