Postdoctoral Position
vor 2 Monaten
The Max Planck Institute for Radio Astronomy (MPIfR) is a world-leading institute in radio astronomical research. It conducts basic astronomical research with projects and collaborations with observatories all over the world and also in space. The institute carries out state-of-the-art research and development activities in its high-tech laboratories. It operates the 100-m telescope in Bad Münstereifel-Effelsberg as well as the APEX sub-millimeter telescope at an altitude of 5100m in the Atacama desert in Chile.
Postdoctoral position (M/F/d) in pulsar astronomy as part of the ERC funded project COMPACT
COMPACT aims to find the most exotic pulsar systems that will further our understanding of gravity and neutron star interiors. Even a single discovery in this parameter space is ground breaking, and will help spearhead pulsar astronomy for the coming decade. The big data acquisition, distributed processing using heterogeneous computing and high profile science with follow-up of discoveries provide some of the best combination of technical and scientific skills that will help your future career both in and outside academia.
Your tasks
We expect
Necessary criteria
- A Ph.D. in physics, astronomy, computer science or a related field by the appointment date.
- A strong interest in programmatic problem solving, developing/using data analysis pipelines.
- A good proficiency in scientific writing supported by previously written research articles/thesis etc.
- A good understanding of linux and networking fundamentals.
- Willingness to travel to South Africa for data acquisition.
- Experience working with an international, diverse group of collaborators.
**Desirable criteria (one or more of)**:
- Experience with or a good understanding of multi-threaded / multi-processing / GPU programming with any high level programming language.
- Experience with pulsar searching and/or globular cluster studies.
- Experience with radio interferometric imaging.
- Experience working with machine learning / deep learning techniques.
- Experience working with large datasets and/or on large supercomputing systems.
- Willingness to and/or experience with supervising Masters/PhD students.
We offer
Application process
Interested and qualified individuals should submit the following:
- curriculum vitae
- list of publications
- research statement
- at least two letters of recommendation
Contact information
Prospective applicants can contact Dr. Vivek Venkatraman Krishnan for more details.
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