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- Aufgaben: Conduct cutting-edge research in statistical learning and uncertainty quantification.
- Arbeitgeber: Join a collaborative team at the Research Alliance Ruhr, a hub for innovative research.
- Mitarbeitervorteile: Enjoy flexible working hours, remote options, and a family-friendly work environment.
- Warum dieser Job: Be part of an internationally renowned research center with impactful projects and career growth opportunities.
- Gewünschte Qualifikationen: PhD in statistics, mathematics, or related fields with a strong publication record required.
- Andere Informationen: Diversity is valued; applications from women and disabled persons are especially encouraged.
Das voraussichtliche Gehalt liegt zwischen 45000 - 65000 € pro Jahr.
* Postdoctoral Fellow in Statistical Learning and Uncertainty Quantifications *
Feb 24, 2023
* Postdoc position in Statistical Learning and Uncertainty Quantifications *
Being Europe’s densest university landscape, the metropolis Ruhr offers attractive career opportunities for excellent scientists and scholars from any part of the world. In 2021, the Ruhr-Universität Bochum, TU Dortmund University and the University of Duisburg- Essen founded the Research Alliance Ruhr to bundle their top international research on grand challenges of humankind. Four research centers and a college will be established in the next three years. This is just the latest chapter of our long-standing cooperation as University Alliance Ruhr (UA Ruhr), a community of 1,300 researchers and 120,000 students in the center of Germany.
As part of the Research Alliance Ruhr, the Chair of Uncertainty Quantification and Statistical Learning at the Research Center Trustworthy Data Science & Security and the Department of Statistics at TU Dortmund is hiring on the level of a PostDoc position. Payment according to public service´s agreement: TV-L E13/14. Fixed contract term for 3 years, extension possible.
Main Research Areas
- Statistical Learning, Bayesian Computational Methods
- Uncertainty Quantification in Statistics & Machine Learning
- Regularization & Smoothing, Variable Selection & Model Choice
- Flexible Regression/Supervised Learning & Spatial Statistics
Your Qualification
- Excellent degree (doctorate) in statistics, mathematics, data science, computer science, or similar PhD programs.
- Track record and excellent publications in at least one of the main research areas above.
- High degree of creativity, commitment, analytical competence, and interdisciplinary teamwork.
- Interdisciplinary research agenda with fundamental theoretical research or practical applications in data science.
What We Offer
We work in a multidisciplinary team on collaborative research projects jointly envisioned by leading international experts from different domains. We aim at both theoretical research as well as practical applications in close collaboration with academic and industrial partners. The positions are embedded in a creative, attractive, and internationally renowned research environment. With your research and teaching duties you will play a primary role in the development of our new Research Center and outreach with trustworthy technology to the public. Our international network of researchers and industry partners ensures a seamless transition into your next career step as university professor or international research institutions. A balanced and family-friendly work-life relationship is important to us; thus, we offer options for flexible working times or part-time remote home-office.
Your Application
If you are interested in the position, please send your application (as a single pdf with at least 10MB) until 06th March 2023 via mail to
Research Center Trustworthy Data Science and Security, UA Ruhr and Department of Statistics, Technische Universität Dortmund
Chair of Uncertainty Quantification and Statistical Learning
Prof. Dr. Nadja Klein
Please provide the usual documents: motivation letter, CV, and copies of your certificates.
Diversity
The TU Dortmund University aims to increase the percentage of women in the scientific faculties and therefore, applications from women are particularly welcome. We explicitly note that applications of severely disabled persons are welcome.
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* Postdoctoral Fellow in Statistical Learning and Uncertainty Quantifications * Arbeitgeber: The International Society for Bayesian Analysis
Kontaktperson:
The International Society for Bayesian Analysis HR Team
StudySmarter Bewerbungstipps 🤫
So bekommst du den Job: * Postdoctoral Fellow in Statistical Learning and Uncertainty Quantifications *
✨Tip Number 1
Make sure to highlight your interdisciplinary research experience during the interview. The position emphasizes collaboration across various domains, so showcasing your ability to work with experts from different fields will set you apart.
✨Tip Number 2
Prepare to discuss your previous publications in detail. Since a strong track record in the main research areas is required, being able to articulate the significance and impact of your work will demonstrate your expertise and commitment.
✨Tip Number 3
Familiarize yourself with the current projects and research focus of the Research Center Trustworthy Data Science & Security. Showing that you understand their goals and how your skills align with their mission can make a positive impression.
✨Tip Number 4
Be ready to discuss your vision for future research and how it could contribute to both theoretical advancements and practical applications. This role involves developing new research directions, so demonstrating your forward-thinking approach is crucial.
Diese Fähigkeiten machen dich zur top Bewerber*in für die Stelle: * Postdoctoral Fellow in Statistical Learning and Uncertainty Quantifications *
Tipps für deine Bewerbung 🫡
Understand the Research Areas: Familiarize yourself with the main research areas mentioned in the job description, such as Statistical Learning, Bayesian Computational Methods, and Uncertainty Quantification. This will help you tailor your application to highlight relevant experiences and skills.
Craft a Strong Motivation Letter: Your motivation letter should clearly express your interest in the position and how your background aligns with the research goals of the Chair of Uncertainty Quantification and Statistical Learning. Be specific about your previous work and how it relates to their projects.
Highlight Your Publications: Make sure to include a list of your publications that are relevant to the research areas. Emphasize any significant contributions or findings that demonstrate your expertise and creativity in the field.
Prepare Your CV: Your CV should be comprehensive yet concise. Include your educational background, research experience, skills, and any relevant awards or recognitions. Tailor it to reflect your qualifications for this specific postdoctoral position.
Wie du dich auf ein Vorstellungsgespräch bei The International Society for Bayesian Analysis vorbereitest
✨Showcase Your Research Experience
Be prepared to discuss your previous research projects in detail, especially those related to statistical learning and uncertainty quantification. Highlight any publications or presentations that demonstrate your expertise in these areas.
✨Demonstrate Interdisciplinary Collaboration
Since the position emphasizes teamwork across disciplines, share examples of how you've successfully collaborated with researchers from different fields. This will show your ability to contribute to a multidisciplinary team.
✨Prepare for Technical Questions
Expect technical questions related to Bayesian computational methods, regularization, and model choice. Brush up on these topics and be ready to explain complex concepts clearly and concisely.
✨Express Your Vision for Future Research
Articulate your ideas for future research directions and how they align with the goals of the Research Center. This demonstrates your commitment to contributing to the center's mission and your long-term vision as a researcher.
