The newly established Research Group Methods for Big Data at the Scientific Computing Center welcomes applications for a postdoctoral research fellow (f/m/d).
In this project you will:
develop novel methods that leverage the potential of statistical learning and Bayesian (Deep) Learning
investigate the theoretical properties of developed algorithms
implement the developed methods
contribute to joint research inside the group
publish the results at leading journals, workshops and conferences
Details on the research group can be found at https://kleinlab-statml.github.io/
Job requirements:
Excellent university degree (master) and completed PhD in statistics, mathematics, data science, statistics-oriented computer science
Strong expertise in theoretical and computational aspects of Bayesian statistics
Expertise in at least one of the following areas: Statistical Learning, Bayesian (Deep) Learning, Uncertainty Quantification and Probabilistic Machine Learning, High-Dimensional Statistics, Continual Learning
Track record and excellent publications in at least one of the main research areas above
Strong computational, mathematical skills
Solid programming skills in any scientific programming language, e.g. Python, R
High proficiency in English, both written and spoken for your scientific publications and presentations
High degree of creativity, commitment, analytical competence, and interdisciplinary teamwork
We offer you an exciting and varied job within an agile team as well as a wide range of training opportunities and flexible and family-friendly working time models. For more information about SCC as your new work home, please visit https://www.scc.kit.edu/en/aboutus/working-at-scc.php.
We are looking forward to your application (Motivational letter / CV / Certificates)!
Salary
Salary category 13, depending on the fulfillment of professional and personal requirements.
Wir bieten
Become a member of staff of the only German University of Excellence that conducts large-scale research on the national level. Work under excellent working conditions in an interna-tional environment and be active in research and academic education for our future. Benefit from specific training when starting your job and from a wide range of further qualification offers. Use our flexible working time models (flexitime, work from home), our sports and leisure offers, as well as our child and holiday care services. We also pay a share of EUR 25/month in the Job Ticket Baden-Württemberg. Enjoy a large variety of dishes, snacks, and beverages at our canteens.
Contract duration
3 years
Application up to
23.09.2024
Contact person in line-management
For further information, please contact Prof. Dr. Nadja Klein, nadja.klein@kit.edu.
Application
Please apply online using the link below for this vacancy number 456/2024 .
Personnel Support is provided by
Mr Meschar
phone: +49 721 608-25029,
Hermann-von-Helmholtz-Platz 1, 76344 Eggenstein-Leopoldshafen, Germany
We prefer to balance the number of employees (f/m/d). Therefore we kindly ask female applicants to apply for this job.
Recognized severely disabled persons will be preferred if they are equally qualified.
Please apply online here: https://jobs.pse.kit.edu/en/jobs/167215/apply
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*Prof. Dr. Nadja Klein*
Research Group Methods for Big Data
– Emmy Noether research group leader (DFG, German research foundation)
– Member of the Junge Akademie at the Berlin-Brandenburg Academy of Science and National Academy of Sciences Leopoldina
– Member of the Humboldt Network (Alexander von Humboldt foundation)
Karlsruhe Institute of Technology (KIT)
Scientific Computing Center (SCC)
https://kleinlab-statml.github.io/
https://twitter.com/KleinSLab/
Registered office: Kaiserstraße 12, 76133 Karlsruhe, Germany
KIT – The Research University in the Helmholtz Association