PhD Student Jetzt bewerben

PhD Student

Innsbruck Doktorand 36000 - 60000 € / Jahr (geschätzt) No home office possible
Jetzt bewerben
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Auf einen Blick

  • Aufgaben: Join our team to explore model-driven simulation and digital twins for cyber-physical systems.
  • Arbeitgeber: Be part of the University of Innsbruck's innovative Department of Computer Science.
  • Mitarbeitervorteile: Enjoy a 4-year position with opportunities for collaboration and research in an interdisciplinary team.
  • Warum dieser Job: Work on cutting-edge technology that impacts monitoring, optimization, and control in real-world applications.
  • Gewünschte Qualifikationen: Must have a Master's degree in Software/Model-driven Engineering or related fields and programming skills.
  • Andere Informationen: Applications are open until February 28, 2025. Reach out to Philipp Zech for any questions.

Das voraussichtliche Gehalt liegt zwischen 36000 - 60000 € pro Jahr.

PhD Position in Model-driven Simulation and Digital Twins

We are happy to fill a PhD position on model-driven simulation and digital twin engineering for cyber-physical systems at the Department of Computer Science (research group Quality Engineering) at the University of Innsbruck, Austria. The PhD will be in the field of the model-driven engineering of Digital Twins for subsequent model-driven simulation, particularly focusing on the combination of model-driven engineering and simulation for digital twin-based monitoring, optimization, and control.

What we offer

The position is to be filled for up to 4 years at most, available from January 1st, 2025. You will be working together on an exciting and timely topic, embedded in an interdisciplinary team of researchers – together with other PhD students and senior researchers, and partners from industry.

Your profile

We are looking for highly motivated students with a background in Software/Model-driven Engineering and/or model-driven simulation, holding a Master’s degree (or equivalent). Candidates should have a command in programming and algorithmic curation.

Your application

If you are interested in joining our team, please send the following documents to Philipp Zech ( ):

  1. Curriculum vitae
  2. Publication list (if available)
  3. List of relevant courses taken during your studies
  4. Short statement of your research background, including a short motivation explaining why you are interested in the position (approx. 1 page)

If you have any questions, please contact Philipp Zech ().

Application Deadline

We are looking forward to receiving your applications until February 28, 2025.

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PhD Student Arbeitgeber: FWF Fellowship

The University of Innsbruck offers an exceptional environment for PhD students, fostering a collaborative and interdisciplinary work culture that encourages innovation in model-driven simulation and digital twin engineering. With access to cutting-edge research facilities and the opportunity to work alongside experienced researchers and industry partners, you will be well-positioned for personal and professional growth. Additionally, the beautiful location in Innsbruck provides a vibrant community and a high quality of life, making it an ideal place to pursue your academic ambitions.
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Kontaktperson:

FWF Fellowship HR Team

StudySmarter Bewerbungstipps 🤫

So bekommst du den Job: PhD Student

✨Tip Number 1

Make sure to familiarize yourself with the latest trends and technologies in model-driven engineering and digital twins. This knowledge will not only help you during the interview but also demonstrate your genuine interest in the field.

✨Tip Number 2

Engage with the research community by attending relevant conferences or workshops. Networking with professionals in the field can provide valuable insights and potentially lead to recommendations.

✨Tip Number 3

Prepare to discuss specific projects or experiences where you applied model-driven simulation or engineering principles. Highlighting your practical experience will set you apart from other candidates.

✨Tip Number 4

Reach out to current or former PhD students in the research group to gain insights about their experiences. This can help you tailor your application and show that you are proactive and genuinely interested in joining the team.

Diese Fähigkeiten machen dich zur top Bewerber*in für die Stelle: PhD Student

Model-driven Engineering
Digital Twin Engineering
Cyber-Physical Systems
Software Development
Programming Skills
Algorithmic Curation
Simulation Techniques
Data Analysis
Interdisciplinary Collaboration
Research Methodology
Problem-Solving Skills
Communication Skills
Motivation for Research
Critical Thinking

Tipps für deine Bewerbung 🫡

Understand the Research Focus: Make sure to thoroughly understand the research area of model-driven simulation and digital twins. Familiarize yourself with relevant concepts and recent advancements in this field to demonstrate your knowledge in your application.

Tailor Your CV: Highlight your educational background, particularly your Master’s degree and any relevant coursework. Include specific projects or experiences related to software/model-driven engineering and simulation that showcase your skills.

Craft a Compelling Statement: Write a concise statement of your research background and motivation for applying. Clearly articulate why you are interested in this PhD position and how your previous experiences align with the research group's goals.

Compile Your Documents: Gather all required documents, including your CV, publication list (if available), list of relevant courses, and your research statement. Ensure everything is well-organized and formatted professionally before submission.

Wie du dich auf ein Vorstellungsgespräch bei FWF Fellowship vorbereitest

✨Show Your Passion for Digital Twins

Make sure to express your enthusiasm for model-driven simulation and digital twin engineering. Share specific examples of projects or experiences that sparked your interest in this field.

✨Highlight Relevant Skills

Discuss your background in Software/Model-driven Engineering and programming. Be prepared to provide examples of how you've applied these skills in previous projects or research.

✨Prepare Your Research Background

Craft a concise summary of your research background and motivation for applying. This should reflect your understanding of the role and how your interests align with the team's goals.

✨Ask Insightful Questions

Prepare thoughtful questions about the research group, ongoing projects, and potential collaborations. This shows your genuine interest in the position and helps you assess if it's the right fit for you.

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  • PhD Student

    Innsbruck
    Doktorand
    36000 - 60000 € / Jahr (geschätzt)
    Jetzt bewerben

    Bewerbungsfrist: 2027-01-16

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    FWF Fellowship

    50 - 100
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