Postdoctoral Research Fellow (f/m/d) in Probabilistic Learning and Methods for Big Data at the Karlsruhe Institute of Technology, Scientific Computing Center (SCC)
Focus on: Probabilistic Learning & Methods for Big Data
The Scientific Computing Center is the Information Technology Center of KIT. The newly established Research Group Methods for Big Data starting in August 2024 at the Scientific Computing Center welcomes applications for a postdoctoral research fellow (f/m/d).
In this project you will:
1. Develop novel methods that leverage the potential of statistical learning and Bayesian (Deep) Learning.
2. Investigate the theoretical properties of the developed algorithms.
3. Implement the developed methods.
4. Contribute to joint research inside the group.
5. Publish the results at leading journals, workshops, and conferences.
Job requirements:
1. Excellent university degree (master) and completed PhD in statistics, mathematics, data science, computer science, or similar programs.
2. Expertise in at least one of the following areas: Statistical Learning, Bayesian (Deep) Learning, Uncertainty Quantification and Probabilistic Machine Learning, High-Dimensional Statistics, Distributional Regression, Causal Inference, Continual Learning, Hybrid Algorithms.
3. Track record and excellent publications in at least one of the main research areas above.
4. Strong computational and mathematical skills.
5. Solid programming skills in any scientific programming language, e.g., Python, R.
6. High proficiency in English, both written and spoken for your scientific publications and presentations.
7. 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 here .
We are looking forward to your application (Motivational letter, CV, Certificates)!
Salary: Category 13, depending on the fulfillment of professional and personal requirements.
Organizational unit: Scientific Computing Center (SCC)
Start date: ASAP
Duration: 3 years
Application deadline: 05.08.2024
Contact person in line-management: For further information, please contact Prof. Dr. Nadja Klein at kleinlabtrello@gmail.com.
Application: Please apply online using the button below for this vacancy number 340/2024. Personnel Support is provided by Mr. Meschar, phone: +49 721 608-25029, Hermann-van-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.
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