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- Aufgaben: Lead research and teaching in AI and Machine Learning at the University of Bayreuth.
- Arbeitgeber: Join a top-tier, research-focused university with a vibrant interdisciplinary environment.
- Mitarbeitervorteile: Enjoy a tenure track position with opportunities for funding and collaboration.
- Warum dieser Job: Make an impact in cutting-edge AI research while shaping future tech leaders.
- Gewünschte Qualifikationen: PhD in relevant field, proven research excellence, and teaching experience required.
- Andere Informationen: Fluency in English and German is expected; applications due by January 19, 2025.
Das voraussichtliche Gehalt liegt zwischen 60000 - 84000 € pro Jahr.
The University of Bayreuth is a research-oriented university with internationally competitive, interdisciplinary focus areas in research and teaching. The Faculty of Mathematics, Physics & Computer Science at the University of Bayreuth is currently seeking to appoint a
Junior Professor of Artificial Intelligence and Machine Learning (salary grade: W1) with tenure track to W3
to commence as soon as possible as a fixed-term civil service position.
We are looking for scientists of international visibility to strengthen the Department of Computer Science with independent research and teaching profiles in the field of Artificial Intelligence and Machine Learning. The field of Artificial Intelligence and Machine Learning is broadly construed here, with subfields such as, for example, Deep Learning, Explainability, Uncertainty Quantification, Computer Vision, Symbolic AI, or Optimal Control / Reinforcement Learning. The prospective candidate should not only enrich the Computer Science group; in addition, it is intended to foster cooperation in research and teaching with related disciplines.
The successful applicant will be renowned in the field of Artificial Intelligence and Machine Learning, and this must be proven through excellent publications in the field. Willingness and ability to attract research funding must be noticeable. Candidates must demonstrate potential for excellent teaching. The incumbent will be expected to contribute to teaching at both bachelor and master levels and in PhD programmes, both in Computer Science and in interdisciplinary study programmes.
The ability to teach in English and German is expected.
Applications (CV, outlining education and academic career, list of publications, list of courses taught, experience obtaining external funding, as well as copies of diplomas and certificates) are to be submitted electronically to the Dean of the Faculty of Mathematics, Physics & Computer Science, Prof. Dr. Michael Guthe, by January 19, 2025 . Applicants are welcome to direct questions and requests for further information to the Dean at . Application documents will be permanently disposed of in accordance with data protection law.
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Junior Professor of Artificial Intelligence and Machine Learning (salary grade: W1) Arbeitgeber: University of Bayreuth
Kontaktperson:
University of Bayreuth HR Team
StudySmarter Bewerbungstipps 🤫
So bekommst du den Job: Junior Professor of Artificial Intelligence and Machine Learning (salary grade: W1)
✨Tip Number 1
Make sure to highlight your research experience in Artificial Intelligence and Machine Learning. Focus on any specific subfields you have worked in, such as Deep Learning or Computer Vision, as this will show your expertise and alignment with the department's needs.
✨Tip Number 2
Demonstrate your ability to secure research funding by providing examples of grants you've applied for or received. This is crucial for a position that emphasizes attracting external funding.
✨Tip Number 3
Prepare to discuss your teaching philosophy and experiences in both English and German. Since the role involves teaching at various levels, showcasing your versatility and effectiveness as an educator will be key.
✨Tip Number 4
Network with current faculty members or alumni from the University of Bayreuth. Engaging with them can provide insights into the department's culture and expectations, which can help you tailor your application and interview approach.
Diese Fähigkeiten machen dich zur top Bewerber*in für die Stelle: Junior Professor of Artificial Intelligence and Machine Learning (salary grade: W1)
Tipps für deine Bewerbung 🫡
Understand the Role: Make sure you fully understand the requirements and expectations of the Junior Professor position. Familiarize yourself with the specific areas of Artificial Intelligence and Machine Learning that the University of Bayreuth is focusing on.
Tailor Your CV: Craft your CV to highlight your education, academic career, and relevant experience in AI and Machine Learning. Emphasize your publications and any teaching experience, especially in both English and German.
Prepare a Strong Cover Letter: Write a compelling cover letter that outlines your research interests, teaching philosophy, and how you plan to contribute to the department. Mention your ability to attract research funding and your vision for interdisciplinary collaboration.
Gather Supporting Documents: Collect all necessary documents such as copies of diplomas, certificates, a list of courses taught, and evidence of external funding. Ensure everything is organized and clearly presented before submission.
Wie du dich auf ein Vorstellungsgespräch bei University of Bayreuth vorbereitest
✨Showcase Your Research Impact
Be prepared to discuss your previous research and its impact on the field of Artificial Intelligence and Machine Learning. Highlight your most significant publications and how they contribute to the current state of knowledge.
✨Demonstrate Teaching Excellence
Prepare examples of your teaching philosophy and methods. Be ready to discuss how you engage students at both bachelor and master levels, and share any innovative approaches you've used in interdisciplinary settings.
✨Funding Acquisition Experience
Discuss your experience in obtaining research funding. Be specific about the grants you've applied for, the outcomes, and how you plan to attract funding in the future to support your research initiatives.
✨Language Proficiency
Since teaching in both English and German is expected, be ready to demonstrate your language skills. You might be asked to explain a complex concept in both languages, so practice articulating your ideas clearly in both.
