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- Aufgaben: Conduct cutting-edge research in data-driven modeling, simulation, and digital twins.
- Arbeitgeber: Join the only German University of Excellence focused on large-scale national 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: Master's degree in computer science, software engineering, or data science required.
- Andere Informationen: Application deadline is January 31, 2025; positions start March 1, 2025.
Das voraussichtliche Gehalt liegt zwischen 42000 - 60000 € pro Jahr.
PhD 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.
Starting date
1. März 2025 oder kurz danach / or soon thereafter
Personal qualification
- A master degree in computer science, software engineering, data science or similar.
- Strong interest in working with data-driven approaches.
- Interest in working with formal methods, modeling and simulation.
- Strong ambition towards excellence in science and technology at the highest international level is expected.
- 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 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.
Salary
Salary category 13 TV-L, depending on the fulfillment of professional and personal requirements.
Contract duration
Limited to up to four years
Application up to
January 31, 2025
Contact person in line-management
For further information, please contact Prof. Sanja Lazarova-Molnar.
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 1481/2024.
Vacancy number: 1481/2024
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.
Contact
Personnel Support is provided by:
Personalservice (PSE) – Human Resources
Ms Kehrer
Phone: 0721 608-45415,
Kaiserstr. 12, 76131 Karlsruhe
#J-18808-Ljbffr
PhD 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: PhD Positions in Data-Driven Simulation and Digital Twins
✨Tip Number 1
Familiarize yourself with the latest trends and technologies in data-driven modeling and simulation. This will not only help you during the interview but also demonstrate your genuine interest in the field.
✨Tip Number 2
Engage with current research projects related to Digital Twins, especially those linked to Horizon Europe. Understanding these projects can give you insights into the specific challenges and innovations that the team is focusing on.
✨Tip Number 3
Network with current PhD students or PostDocs in the SYDSEN group. They can provide valuable information about the work environment and expectations, which can be beneficial for your application and future role.
✨Tip Number 4
Prepare to discuss your teaching philosophy and experiences, as teaching is a part of the role. Think about how you can contribute to the academic education of future researchers in this field.
Diese Fähigkeiten machen dich zur top Bewerber*in für die Stelle: PhD 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 coursework that demonstrate your expertise in data-driven approaches and formal methods.
Prepare Your Documents: Gather all required documents: your CV, transcripts, a copy of your Master's thesis (or draft), and names of two references. Ensure that each document is well-organized and professionally presented.
Submit Your Application Online: Make sure to submit your application through the specified online platform. Name your PDF file appropriately, including your name, and double-check that all documents are included before hitting 'submit'.
Wie du dich auf ein Vorstellungsgespräch bei Karlsruher Institut für Technologie vorbereitest
✨Show Your Passion for Data-Driven Approaches
Make sure to express your strong interest in data-driven modeling and simulation during the interview. Share specific examples from your past experiences where you successfully applied these methodologies, as this will demonstrate your commitment to the field.
✨Highlight Relevant Research Experience
Discuss any previous research projects or academic work that aligns with the focus on Digital Twins and cyber-physical systems. Be prepared to explain your contributions and the outcomes of these projects, showcasing your ability to conduct cutting-edge research.
✨Prepare for Technical Questions
Expect technical questions related to formal methods, modeling, and simulation. Brush up on relevant theories and practices, and be ready to discuss how you would apply them in real-world scenarios, particularly in the context of manufacturing systems.
✨Demonstrate Your Teaching and Coordination Skills
Since the position involves teaching and coordinating courses, be prepared to talk about any teaching experience you have. Highlight your ability to communicate complex concepts clearly and your enthusiasm for engaging with students and colleagues alike.
