Research Fellow
Karlsruher Institut für Technologie (KIT)
Eggenstein-Leopoldshafen
Befristet
Teilzeit
Bewerbungsfrist: 19.08.2024
Veröffentlicht am: 22.07.2024
Ich bin interessiert
Research Fellow (f/m/d) - PhD on the topic: Spatio-temporal Statistics for the Energy Transition and Transport
Ich bin interessiert
Ich bin interessiert
Karlsruhe Institute of Technology (KIT) – The Research University in the Helmholtz Association creates and imparts knowledge for the society and the environment. It is our goal to make significant contributions to mastering the global challenges of mankind in the fields of energy, mobility, and information. For this, about 9.800 employees of KIT cooperate in a broad range of disciplines in research, academic education, and innovation.
We are looking for the Scientific Computing Center (SCC) for October 1, 2024, fixed term until June 30, 2028, for a
Research Fellow (f/m/d)
- for the part-time PhD on the topic: Spatio-temporal Statistics for the Energy Transition and Transport / part-time 75 % –
The newly established Research Group Methods for Big Data at Scientific Computing Center is the Information Technology Center of KIT welcomes applications for a research assistant within the Collaborative Research Center (CRC) TRR 391 "Spatio-temporal Statistics for the Energy Transition and Transport" in cooperation with the Ruhr University Bochum in the newly approved Transregio (TRR) 391, statistical methodologies are being developed to model and forecast data on the energy and mobility transition.
The position is assigned to the newly founded Collaborative Research Center (SFB) TRR 391 "Space-time statistics for the energy energy transition and transportation", which is funded by the German Research Foundation (DFG). As part of the project, a further Bochum, which will be jointly supervised by Prof. Dette (Bochum) and Prof. Klein (Karlsruhe).
In this project you will:
- develop novel methods that leverage the potential of statistical testing and Bayesian statistics to induce sparse yet flexibly varying dependence structures between multiple outcomes that are observed over space and time
- investigate of theoretical properties of the developed methods
- implement and test the models
- public of the results at workshops and conferences
Job requirements:
- You hold a degree (Master's level) with a focus on statistics or data science or alternatively mathematics, computer science, economics, or related programs (with a focus on statistics or data science).
- Basic knowledge and initial experience with flexible regression methods, Bayesian statistics, Copulas or statistical testing
- Solid programming skills in any scientific programming language, e.g. Python, R
- Strong computational, mathematical skills
- 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 are looking forward to your application (Motivations 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 train-ing when starting your job and from a wide range of further qualification offers. Use our flexi-ble 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.mehr...
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