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- Aufgaben: Lead research and teaching in Machine Learning and Data Science.
- Arbeitgeber: Join a prestigious institution dedicated to advancing knowledge in data science.
- Mitarbeitervorteile: Enjoy academic freedom, competitive salary, and opportunities for professional development.
- Warum dieser Job: Shape the future of data science while mentoring the next generation of innovators.
- Gewünschte Qualifikationen: PhD in Data Science or related field; strong research and teaching experience required.
- Andere Informationen: Opportunity to collaborate on cutting-edge research projects and secure funding.
Das voraussichtliche Gehalt liegt zwischen 72000 - 100000 € pro Jahr.
Job Description
- Represent the field of Machine Learning / Data Science in research and teaching.
- Teach in relevant degree programmes at Bachelor\’s, Master\’s, and Doctoral level.
- Supervise student projects and academic theses.
- Acquire and manage competitive research grants.
Professor of Data Science Arbeitgeber: Alpen-Adria-Universität Klagenfurt
Kontaktperson:
Alpen-Adria-Universität Klagenfurt HR Team
StudySmarter Bewerbungstipps 🤫
So bekommst du den Job: Professor of Data Science
✨Tip Number 1
Make sure to highlight your expertise in Machine Learning and Data Science during the interview. Prepare specific examples of your research projects and teaching experiences that demonstrate your ability to engage students at various academic levels.
✨Tip Number 2
Familiarize yourself with the latest trends and advancements in Data Science. Being able to discuss current topics and innovations will show your passion for the field and your commitment to staying updated.
✨Tip Number 3
Network with other professionals in the field. Attend conferences or workshops related to Data Science and Machine Learning, as these connections can provide valuable insights and potentially lead to collaborative opportunities.
✨Tip Number 4
Prepare to discuss your experience with acquiring and managing research grants. Be ready to share successful strategies you've used in the past, as this is a crucial aspect of the role.
Diese Fähigkeiten machen dich zur top Bewerber*in für die Stelle: Professor of Data Science
Tipps für deine Bewerbung 🫡
Highlight Your Expertise: Make sure to clearly showcase your expertise in Machine Learning and Data Science. Include specific examples of your research, teaching experience, and any relevant projects that demonstrate your qualifications.
Detail Your Teaching Experience: Since the role involves teaching at various academic levels, provide a detailed account of your teaching experience. Mention the courses you've taught, the institutions, and any innovative teaching methods you employed.
Research Grants: Discuss your experience with acquiring and managing research grants. Highlight any successful applications and the impact of your funded research on the field of Data Science.
Tailor Your Application: Customize your application to align with the specific requirements of the position. Use keywords from the job description to ensure your application resonates with the hiring committee.
Wie du dich auf ein Vorstellungsgespräch bei Alpen-Adria-Universität Klagenfurt vorbereitest
✨Showcase Your Research Experience
Be prepared to discuss your previous research projects in detail. Highlight any competitive grants you've acquired and how they contributed to your field. This will demonstrate your capability to manage research effectively.
✨Engage with Teaching Methodologies
Discuss your teaching philosophy and methodologies. Be ready to provide examples of how you've successfully taught complex topics at various academic levels, including Bachelor’s, Master’s, and Doctoral students.
✨Prepare for Student Supervision Scenarios
Think about your approach to supervising student projects and theses. Prepare to share specific examples of how you've guided students through their academic journeys and helped them achieve their goals.
✨Stay Updated on Industry Trends
Familiarize yourself with the latest trends and advancements in Machine Learning and Data Science. Being able to discuss current developments will show your passion for the field and your commitment to providing relevant education.
