Postdoc in High Performance and Scientific Computing at CERIT-SC Centre
We are seeking for a well-motivated postdoc in one or both following areas of High Performance and Scientific Computing. The responsibility of the candidate will be to contribute research in at least one of the following:
- Autotuning and automatic optimization methods for CPUs and GPU accelerators. We focus on dynamic autotuning, tuning space search methods using partial knowledge of program behavior under the different setup (e.g., different hardware or input). We are also interested in automatic source-to-source transformation methods enabling additional optimizations.
- Improving the performance of scientific software from various fields by algorithm re-formulation, application of autotuning frameworks, task-based runtime systems, and source-to-source transformation methods. We can offer strong interdisciplinary background and collaborations in the area of computational chemistry (collaboration with Loschmidt Laboratories, Masaryk University) and cryo-electron microscopy (collaboration with Biocomputing unit, CNB CSIC).
- Application of AI/ML/deep-NN in research in two directions related to the previous topics -- how to use the AI approaches in the optimization techniques, and how to apply the optimization methods to the AI techniques and algorithms.
Selection of our recent papers relevant for the postdoc position
- F. Petrovic et al. A benchmark set of highly-efficient CUDA and OpenCL kernels and its dynamic autotuning with Kernel Tuning Toolkit. Future Generation Computer Systems, 2020.
- D. Strelak et al. A GPU acceleration of 3-D Fourier reconstruction in cryo-EM. The International Journal of High-Performance Computing Applications, 2019.
- J. Filipovic et al. CaverDock: a novel method for the fast analysis of ligand transport. IEEE/ACM transactions on computational biology and bioinformatics, 2019.
- Perform research in the area of HPC and Scientific Computing
- Publish in high-quality journals and conferences
- Support Ph.D. and undergraduate students
- Identify and pursue new research lines
- The possibility of professional and personal growth: teaching, supervising thesis, leading a small team, etc.
You should have:
- Ph.D. degree in Computer Science or Mathematics or closely related field
- Publication record in the area of our interests
- Previous experience with supervising
- Excellent independent thinking and problem-solving skills
- Good skills in scientific writing
- Good level of English (at least B2 level, C1 is preferred)
- Unique workplace at Masaryk University in Brno, Czech Republic
- Administrative support (visa formalities, accommodation, etc.) by the International Staff Office
- Collaboration within the international community
- A young and flexible team, strong support for your research vision
- Work-life balance: Six weeks of vacation, Flexible working hours, Home-office option for selected workdays
- Meal vouchers, pension insurance contribution
- Creative and challenging work environment, possibility to travel abroad
- Monthly gross wage starting at 2500 € depending on experience and the exact role taken; bonuses available in case of excellent results
- Regular team building activities (including events for employee’s children)
- Note that life cost in Brno is lower than average in Europe (see https://www.numbeo.com/cost-of-living/in/Brno), but the quality of life is high (see https://www.numbeo.com/quality-of-life/in/Brno). The salary offered starts at double the average wage in the Czech Republic.
Please send your CV and motivation letter by e-application (below) or to email@example.com