Launch of the HEIBRiDS graduate school in Berlin
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Christoph Lippert
Feb 9, 2018, 3:12:03 PM2/9/18
to Machine Learning News
Dear colleagues,
We are pleased to announce the 2018 Recruitment of HEIBRiDS, a new Research School in Data Science. Founded in 2018, HEIBRiDS is a cooperation between the Einstein Center for Digital Future involving four Berlin universities and six Helmholtz Centers (AWI, DESY, DLR, GfZ, HZB and MDC) in the capital region and offers projects in a collaborative research environment across disciplinary borders.
Doctoral training at the HEIBRiDS partner organizations covers the areas of
Machine Learning and Data Mining
Modeling
Novel Hardware Concepts
Imaging
Visualization
with applications including but not limited to genomics, structural biology, medicine, remote sensing, seismology, earth - and space sciences.
We are looking for highly motivated students (with a corresponding master's degree) with a background in quantitative sciences (computer science, physics, statistics or mathematics) or related applied subjects (bio- or geo-informatics, etc).
We offer
- Cutting-edge research in big data science under close supervision of a team of scientific mentor and co-mentor
- Integrated training curriculum of scientific and professional skills taught in English
- Financial support for conferences and collaborations
- Institutions that value diversity and promote an inclusive work environment
- Fully-funded positions for 3 years with the option of 1 year extension
- Competitive salaries according to German E13
Interested candidates are invited to apply via https://heibrids.mdc-berlin.de until March 3, 2018.
Please distribute to potentially interested students or contacts of yours. Thank you very much in advance!
Best regards,
Christoph Lippert
We are pleased to announce the 2018 Recruitment of HEIBRiDS, a new Research School in Data Science. Founded in 2018, HEIBRiDS is a cooperation between the Einstein Center for Digital Future involving four Berlin universities and six Helmholtz Centers (AWI, DESY, DLR, GfZ, HZB and MDC) in the capital region and offers projects in a collaborative research environment across disciplinary borders.
Doctoral training at the HEIBRiDS partner organizations covers the areas of
Machine Learning and Data Mining
Modeling
Novel Hardware Concepts
Imaging
Visualization
with applications including but not limited to genomics, structural biology, medicine, remote sensing, seismology, earth - and space sciences.
We are looking for highly motivated students (with a corresponding master's degree) with a background in quantitative sciences (computer science, physics, statistics or mathematics) or related applied subjects (bio- or geo-informatics, etc).
We offer
- Cutting-edge research in big data science under close supervision of a team of scientific mentor and co-mentor
- Integrated training curriculum of scientific and professional skills taught in English
- Financial support for conferences and collaborations
- Institutions that value diversity and promote an inclusive work environment
- Fully-funded positions for 3 years with the option of 1 year extension
- Competitive salaries according to German E13
Interested candidates are invited to apply via https://heibrids.mdc-berlin.de until March 3, 2018.
Please distribute to potentially interested students or contacts of yours. Thank you very much in advance!
Best regards,
Christoph Lippert
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