Postdoctoral Position in Radio Astronomy and
vor 2 Monaten
EPFL, the Swiss Federal Institute of Technology in Lausanne, is one of the most dynamic university campuses in Europe and ranks among the top 20 universities worldwide. The EPFL employs more than 6,000 people supporting the three main missions of the institutions: education, research and innovation. The EPFL campus offers an exceptional working environment at the heart of a community of more than 16,000 people, including over 12,000 students and 4,000 researchers from more than 120 different countries.
**Postdoctoral position in Radio Astronomy and Machine Learning**:
**Your mission**:
**Project description**: We are looking for talented students and young researchers to work on high-impact astrophysics research using the world-leading MeerKAT array, while developing and incorporating novel machine learning techniques to improve the efficiency of the technical aspects of radio data reduction and analysis. The science focus of our synergistic approach is on the environment of galaxy clusters, a key science area for the SKA.
**Main duties and responsibilities include**:
**Working environment**: EPFL is recognized as one of the best Universities in Europe and covers both engineering and fundamental sciences. Astrophysicists at EPFL are involved in a wide number of large-scale surveys, and EPFL is a member of the SKA Observatory. The spatial proximity at the Observatoire de Sauverny to astrophysicists from the University of Geneva allows for fruitful and scientifically stimulating interactions.
**Term of employment**:
Fixed-term (CDD)
**Work rate**:
100%%
**Duration**:
**Starting date and benefits**: The start date is anticipated to be in the Autumn 2023, although different dates can be discussed. Salary levels depend on qualification and come with extensive social benefits, allowing for a high standard of living in Switzerland. Equal opportunities and diversity are an integral part of personnel and organisational development at EPFL and LASTRO.
A motivation letter (1 page max),
A curriculum vitae (incl. publications, and all grades/certificates after high school)
A summary of research experience (3 pages max).
All documents should be concatenated in one single pdf file and sent no later than July 30, 2023, stating "RadioClusters".
**Remark**:
**Reference**:
Job Nb 2952
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