Postdoctoral Research Fellow (f­­/­­m­­/­­d) - Focus on: Statistical Perspective on Bayesian Deep Learning

We are looking for the Scientific Computing Center (SCC) from October 01 .2024 and limited for 3 years for a Postdoctoral Research Fellow (f/m/d) - Focus on: Statistical Perspective on Bayesian Deep Learning - The Scientific Computing Center is the Information Technology Center of KIT. 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 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. We are looking forward to your application (Motivational letter / CV / Certificates)! 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 international 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. 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 until September 23, 2024 using the vacancy number 456/2024 to Mr Dominik Meschar, Karlsruhe Institute of Technology (KIT), Human Resources, Hermann-von-Helmholtz-Platz 1, 76344 Eggenstein-Leopoldshafen, Germany. For further information, please contact Prof. Dr. Nadja Klein, E-Mail: nadja.klein@kit.edu. Details on the research group can be found at https://kleinlab-statml.github.io/ For more information about SCC as your new work home, please visit https://www.scc.kit.edu/en/aboutus/working-at-scc.php. You can find further information on the internet: www.kit.edu KIT - The Research University in the Helmholtz Association