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- Aufgaben: Lead research in Data Science, focusing on analytics, machine learning, and AI.
- Arbeitgeber: Join the prestigious Graz University of Technology, a leader in interdisciplinary education.
- Mitarbeitervorteile: Engage in innovative research and shape the future of Data Science education.
- Warum dieser Job: Be part of a dynamic team, influence students, and advance your academic career.
- Gewünschte Qualifikationen: PhD in a relevant field with a strong research background in Data Science.
- Andere Informationen: Contribute to a new Master’s program and collaborate across departments.
Das voraussichtliche Gehalt liegt zwischen 60000 - 84000 € pro Jahr.
University Graz University of Technology
Professorship Foundations of Data Science
The Institute of Statistics at TU Graz is seeking a researcher with an international reputation and an excellent track record in a modern area of Data Science. The new professorship should complement existing expertise at TU Graz and within NAWI Graz, and further expand the interdisciplinary cooperation between the Departments of Mathematics and Computer Science at TU Graz.
The applicant’s research program should aim to theoretically explore data analytic methods, machine learning, or artificial intelligence with the help of mathematical and statistical models and procedures; a connection to Bayesian methods is particularly desirable.
The professorship plays a central role in the newly established Master’s degree program in Data Science. The successful candidate will be involved in the development of relevant courses, as well as in the supervision of scientific work and projects within the framework of this program.
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Professorship Foundations of Data Science Arbeitgeber: European Women in Mathematics
Kontaktperson:
European Women in Mathematics HR Team
StudySmarter Bewerbungstipps 🤫
So bekommst du den Job: Professorship Foundations of Data Science
✨Tip Number 1
Make sure to highlight your international collaborations and any significant contributions to the field of Data Science. This will demonstrate your global perspective and ability to work within diverse teams, which is crucial for this role.
✨Tip Number 2
Familiarize yourself with the current research initiatives at TU Graz and NAWI Graz. Tailoring your research program to align with their existing expertise can show that you are a great fit for the team and can contribute to their goals.
✨Tip Number 3
Prepare to discuss your experience in developing courses and supervising students. Since this position involves teaching and mentoring, showcasing your pedagogical skills and commitment to student success will be essential.
✨Tip Number 4
Emphasize your knowledge of Bayesian methods and how they can be applied in modern data science. This specific expertise is particularly desirable for the role and can set you apart from other candidates.
Diese Fähigkeiten machen dich zur top Bewerber*in für die Stelle: Professorship Foundations of Data Science
Tipps für deine Bewerbung 🫡
Understand the Role: Familiarize yourself with the specific requirements and expectations of the Professorship Foundations of Data Science at TU Graz. Highlight your experience in data analytic methods, machine learning, and artificial intelligence in your application.
Highlight Your Research: Emphasize your research achievements and how they align with the goals of the professorship. Discuss your expertise in Bayesian methods and any interdisciplinary projects you have been involved in.
Course Development Experience: Mention any previous experience in developing courses or supervising students. This is crucial as the role involves contributing to the Master’s degree program in Data Science.
Tailor Your Application: Customize your CV and cover letter to reflect your fit for this position. Use specific examples that demonstrate your qualifications and how you can contribute to the Institute of Statistics at TU Graz.
Wie du dich auf ein Vorstellungsgespräch bei European Women in Mathematics vorbereitest
✨Showcase Your Research Experience
Be prepared to discuss your previous research projects in detail, especially those related to data analytic methods, machine learning, and artificial intelligence. Highlight any innovative approaches you've taken and how they align with the goals of the professorship.
✨Emphasize Interdisciplinary Collaboration
Since the role involves expanding interdisciplinary cooperation, be ready to share examples of how you've successfully collaborated with other departments or fields. Discuss how you envision fostering collaboration between Mathematics and Computer Science at TU Graz.
✨Connect to Bayesian Methods
Given the preference for a connection to Bayesian methods, make sure to articulate your understanding and experience with these techniques. Prepare to discuss how you would integrate them into your research program and teaching.
✨Engage with the Master’s Program Development
The position involves developing courses for the new Master’s degree program in Data Science. Think about innovative course ideas or curriculum enhancements you could propose, and be ready to discuss how you would supervise scientific work and projects effectively.
