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- Aufgaben: Lead and establish an Institute for AI in Medicine, focusing on biomedical data analysis.
- Arbeitgeber: Ulm University is a dynamic research university with over 10,000 students, emphasizing innovation in science and technology.
- Mitarbeitervorteile: Enjoy a collaborative work environment with networking opportunities and the chance to shape future academic programs.
- Warum dieser Job: Join a cutting-edge team tackling complex challenges in AI and medicine, making a real impact in healthcare.
- Gewünschte Qualifikationen: PhD required, along with teaching aptitude and a strong background in AI applications in medicine.
- Andere Informationen: Women and disabled applicants are encouraged to apply; application deadline is March 23, 2025.
Das voraussichtliche Gehalt liegt zwischen 72000 - 100000 € pro Jahr.
Ulm University is a young research university with a focus on natural sciences, medicine and technology. Located in an economically strong region, the University with its more than 10,000 students offers a dynamic work environment with attractive networking and development prospects.
The Medical Faculty of Ulm University is seeking to fill the position, starting as soon as possible, of a
Professor (W3) for Artificial Intelligence (AI) in Medicine
management responsibilities
The University is seeking to increase the proportion of women in research and teaching and particularly encourages qualified female scientists to apply for this position. Severely disabled applicants with equal aptitude will be given preferential consideration.
Ulm University has unique expertise in the research areas of trauma, ageing, oncology, and neurology, supported by three Collaborative Research Centres and specialized centers dedicated to these topics. As an active participant in the German Medical Informatics Initiative and the Network of University Medicine (NUM), we have access to numerous biomedical databases. Ulm University offers a range of cutting-edge Medicine and STEM programs, some of which are taught in English. Our dynamic academic environment fosters innovation and cross-faculty collaboration to tackle complex challenges in areas such as life sciences, artificial intelligence (AI), and quantum technology.
With this professorship, we aim to further strengthen our existing research structures by addressing translational biomedical questions through AI and machine learning (ML).
We are seeking an outstanding individual to lead and establish an internationally visible Institute for AI in Medicine, focusing on the application and development of AI methodologies for analyzing biomedical datasets. The ideal candidate will have a distinguished track record and a strong network of collaborations in AI for medicine, encompassing areas such as multiomics, imaging, or the integration of complex medical data. The candidate is expected to contribute to both curricular and extracurricular teaching in Medicine and STEM programs including molecular medicine, computer sciences, and technology, as well as to develop new academic programs.
Employment requirements are completed university studies as well as teaching aptitude, a doctoral degree, and further pertinent scientific achievements (§ 47 LHG).
Seize the opportunity and join us in shaping the future of the University!
| > Reference no.: |
25024 |
| > Application deadline: |
23.03.2025
|
Your contact for further information:
Prof. Dr. Markus Huber-Lang, phone +49 731 50-54800
We look forward to your application via our online application portal
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Professor (W3) for Artificial Intelligence (AI) in Medicine - reference no. 25024 Arbeitgeber: International Graduate School in Molecular Medicine Ulm
Kontaktperson:
International Graduate School in Molecular Medicine Ulm HR Team
StudySmarter Bewerbungstipps 🤫
So bekommst du den Job: Professor (W3) for Artificial Intelligence (AI) in Medicine - reference no. 25024
✨Tip Number 1
Make sure to highlight your previous research experience in AI and medicine during any networking opportunities. Attend conferences or workshops related to AI in healthcare to connect with other professionals in the field.
✨Tip Number 2
Engage with current faculty members at Ulm University through academic social media platforms like ResearchGate or LinkedIn. This can help you gain insights into their ongoing projects and demonstrate your interest in collaboration.
✨Tip Number 3
Consider publishing articles or papers on relevant topics in AI and medicine. This will not only enhance your visibility but also showcase your expertise and commitment to advancing the field.
✨Tip Number 4
Prepare to discuss your vision for establishing an Institute for AI in Medicine during interviews. Think about how you can leverage existing resources at Ulm University to create impactful research and educational programs.
Diese Fähigkeiten machen dich zur top Bewerber*in für die Stelle: Professor (W3) for Artificial Intelligence (AI) in Medicine - reference no. 25024
Tipps für deine Bewerbung 🫡
Understand the Role: Familiarize yourself with the specific responsibilities and expectations of the Professor (W3) for Artificial Intelligence in Medicine position. Highlight your relevant experience in AI methodologies and biomedical datasets.
Tailor Your CV: Craft a CV that emphasizes your academic achievements, research contributions, and teaching experience in AI and medicine. Make sure to include any collaborations or projects that align with the university's focus areas.
Write a Compelling Cover Letter: In your cover letter, express your passion for AI in medicine and how your expertise can contribute to Ulm University's goals. Mention your vision for establishing an internationally visible Institute for AI in Medicine.
Prepare for Potential Interviews: Be ready to discuss your research, teaching philosophy, and how you plan to foster innovation and collaboration within the university. Prepare examples of your past work and how it relates to the position.
Wie du dich auf ein Vorstellungsgespräch bei International Graduate School in Molecular Medicine Ulm vorbereitest
✨Showcase Your Research Experience
Be prepared to discuss your previous research projects, especially those related to AI in medicine. Highlight any collaborations and how they have contributed to your expertise in the field.
✨Demonstrate Teaching Aptitude
Since the position involves teaching, be ready to share your teaching philosophy and experiences. Discuss how you engage students and develop innovative curricula in STEM and Medicine.
✨Highlight Your Network
Emphasize your professional network and collaborations within the AI and medical fields. This can demonstrate your ability to establish an internationally visible institute and foster partnerships.
✨Align with University Goals
Familiarize yourself with Ulm University's focus on increasing the proportion of women in research and teaching. Be prepared to discuss how you can contribute to this goal and support diversity in academia.
