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- Aufgaben: Join us in cutting-edge research on data-driven modeling and digital twins.
- Arbeitgeber: Be part of Germany's only University of Excellence focused on large-scale research.
- Mitarbeitervorteile: Enjoy flexible working hours, remote work options, and various training opportunities.
- Warum dieser Job: Contribute to innovative methodologies that enhance cyber-physical systems and decision-making.
- Gewünschte Qualifikationen: Must have a master's and doctoral degree in relevant fields with a solid publication record.
- Andere Informationen: Positions linked to Horizon Europe projects with potential for extension.
Das voraussichtliche Gehalt liegt zwischen 45000 - 63000 € pro Jahr.
Postdoc Positions in Data-Driven Simulation and Digital Twins
Organizational unit
Institute of Applied Informatics and Formal Description Methods (AIFB)
Job description
There are several PhD and PostDoc positions available at the research group Systems, Data, Simulation & Energy (SYDSEN) at the AIFB Institute. We research in the field of data-driven Modeling and Simulation to advance Digital Twins. With this, we aim to optimize decision-making and enhance reliability, energy efficiency, and other performance metrics in cyber-physical systems like energy and smart manufacturing systems. Our goal is to develop innovative methodologies that integrate data and expert knowledge for automated digital twin creation and system enhancement.
Some of the positions will be linked to our Horizon Europe Programme-funded projects DMaaST and ONE4ALL. Within these projects, we lead work packages focused on the research and advancement of Digital Twins in the domain of manufacturing.
As a member of our team, your responsibilities will include conducting cutting-edge research in data-driven modeling, simulation, and digital twins. In addition to your research contributions, you will actively participate in coordinating and teaching courses offered by our research group, as well as engaging in administrative tasks vital to the functioning of our group. This position offers an exciting opportunity to contribute to scientific advancement and innovation at the forefront of data-driven approaches in cyber-physical systems research.
Personal qualification
- A master degree and a doctoral degree in computer science, software engineering, data science or similar.
- Solid publication record in data-driven approaches.
- Strong ambition towards excellence in science and technology at the highest international level is expected.
- Experience in teaching, with writing proposals, in modeling and simulation.
- Good knowledge of German or the willingness to learn it and good command of English.
This is what we offer
Become a member of staff of the only German University of Excellence that conducts largescale 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.
Salary
Salary category 13 TV-L, depending on the fulfillment of professional and personal requirements.
Contract duration
Limited to two years with a possibility of extension.
Application up to
January 31, 2025
Application
Please submit your CV, transcripts, a copy of your Master’s thesis (for PhD applications; draft is ok), names of two references, and a motivation letter stating how your research interests match the position. Send all documents as a PDF; give the PDF a name that includes your name.
Please apply online using the button below for this vacancy number 1482/2024.
Vacancy number: 1482/2024
Contact
Personnel Support is provided by:
Personalservice (PSE) – Human Resources
Ms Kehrer
Phone: 0721 608-45415,
Kaiserstr. 12, 76131 Karlsruhe
#J-18808-Ljbffr
Postdoc Positions in Data-Driven Simulation and Digital Twins Arbeitgeber: Karlsruher Institut für Technologie
Kontaktperson:
Karlsruher Institut für Technologie HR Team
StudySmarter Bewerbungstipps 🤫
So bekommst du den Job: Postdoc Positions in Data-Driven Simulation and Digital Twins
✨Tip Number 1
Fokussiere dich auf deine Forschungserfahrung im Bereich datengetriebene Modellierung und Simulation. Bereite konkrete Beispiele vor, die zeigen, wie du innovative Methoden entwickelt hast, um digitale Zwillinge zu optimieren.
✨Tip Number 2
Netzwerke mit anderen Forschern in deinem Bereich, insbesondere mit denen, die an ähnlichen Projekten arbeiten. Dies kann dir helfen, wertvolle Einblicke zu gewinnen und möglicherweise Empfehlungen zu erhalten.
✨Tip Number 3
Bereite dich darauf vor, über deine Lehr- und Koordinierungserfahrungen zu sprechen. Überlege dir, wie du deine Fähigkeiten in der akademischen Lehre und Verwaltung in die Position einbringen kannst.
✨Tip Number 4
Zeige deine Bereitschaft, Deutsch zu lernen, falls du noch nicht fließend bist. Dies wird nicht nur deine Integration ins Team erleichtern, sondern auch deine Chancen erhöhen, da gute Deutschkenntnisse von Vorteil sind.
Diese Fähigkeiten machen dich zur top Bewerber*in für die Stelle: Postdoc Positions in Data-Driven Simulation and Digital Twins
Tipps für deine Bewerbung 🫡
Understand the Research Focus: Familiarize yourself with the research group's focus on data-driven modeling and simulation, particularly in the context of Digital Twins. This will help you tailor your motivation letter to align with their goals.
Craft a Strong Motivation Letter: In your motivation letter, clearly articulate how your research interests and experiences align with the position. Highlight any relevant projects or publications that demonstrate your expertise in data-driven approaches.
Prepare Your Documents: Ensure all required documents are ready: your CV, transcripts, a copy of your Master's thesis, and names of two references. Make sure your PDF is named appropriately, including your name for easy identification.
Submit Your Application Online: Follow the application instructions carefully and submit your documents through the provided online platform. Double-check that all files are attached and that your application is complete before hitting 'submit'.
Wie du dich auf ein Vorstellungsgespräch bei Karlsruher Institut für Technologie vorbereitest
✨Showcase Your Research Experience
Be prepared to discuss your previous research projects in detail, especially those related to data-driven modeling and simulation. Highlight any publications you have and how they contribute to the field of Digital Twins.
✨Demonstrate Teaching Skills
Since the position involves teaching, think of examples where you've successfully taught or coordinated courses. Be ready to explain your teaching philosophy and how you engage students in complex topics.
✨Align Your Interests with the Group's Goals
Familiarize yourself with the ongoing projects at SYDSEN, particularly DMaaST and ONE4ALL. Articulate how your research interests align with their objectives and how you can contribute to their success.
✨Prepare for Language Proficiency Questions
If you're not fluent in German, express your willingness to learn. If you are proficient, be ready to demonstrate your language skills during the interview, as good knowledge of German is a requirement.
