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Das Institut für Medizinische Informatik, Statistik und Dokumentation sucht eine/n

Tenure Track Professor of Medical Imaging Research

Kennzahl: I-IMI-2021-001436

Bewerbungsfrist: 17.02.2022

We are looking for an excellent researcher with a high potential for developing an internationally recognized research agenda in the field of medical imaging. The successful candidate is expected to conduct research and teaching in the field of medical imaging that complement and extend the activities of the institute. Candidates for the position are expected to have substantial experience in the field of medical imaging, particularly but not exclusively in AI-based methods, medical imaging data organization and analysis of large data sets. In addition, experience in teaching and a strong interest in collaborations within the Medical University of Graz are required. The initial appointment is limited to six years. After the conclusion of a qualification agreement, the career advancement goal is to transfer to a tenured position as an associate professor (tenure track professor pursuant to § 99 para. 5 and 6 of the Universities Act). If the candidate demonstrates outstanding and remarkable achievements, the qualification agreement may be fulfilled more quickly.

Ihre Aufgaben in dieser Position beinhalten:

  • Conducting cutting-edge basic and translational research in the field of medical imaging including AI methods
  • Acquiring competitive third-party funding and taking the lead in such research projects
  • Teaching undergraduate and graduate courses, supervising diploma and PhD students, and mentoring and promoting young researchers
  • Establishing and maintaining networks through local, national and international research collaborations
  • Giving lectures and seminars, attending conferences, hosting visitors and organizing conferences in the field
  • Supporting scientific and public outreach in his/her research area (public lectures, media, etc.)

Für diese Position bringen Sie folgende Qualifikationen und Kenntnisse mit:

  • PhD or equivalent doctoral degree in medical informatics or a related field
  • Proven track record of high-impact publications and peer-reviewed research grants or other third party funding
  • Previous experience in teaching and/or in (co)supervising doctoral students and/or training of postdoctoral fellows (depending on the applicant’s career stage)
  • Openness to cooperate with other research teams at the institute working with AI methods and/or unstructured clinical data
  • Experience as a software development team lead; skilled in all phases of the software development life cycle
  • Experience in artificial intelligence, machine learning algorithms, medical imaging data organization and image preprocessing
  • High level of proficiency in both written and spoken English (proficiency level C1)

Idealerweise zählen zu Ihrem Profil:

  • Postdoctoral research fellowship abroad or at a different institution than where the PhD was completed
  • Willingness to cooperate, open-mindedness and ability to work in a team
  • Systematic and analytical mindset
  • Excellent organizational, communication and social skills
  • Outstanding level of motivation
  • Sufficient level of proficiency in both written and spoken German or strong willingness to acquire such proficiency

Eintrittsdatum: 01.05.2022

befristet auf 6 Jahre

Beschäftigungsausmaß: 100%

Einstufung in die Verwendungsgruppe A2 nach Kollektivvertrag für ArbeitnehmerInnen der Universitäten.

Application: The Medical University of Graz invites all applicants to submit their application online by 17 February 2022.

Statutory information: The minimum remuneration is based on the collective agreement for university employees (KV § 49.2). A higher salary for this position is contingent upon qualifications and may be negotiated with the rector.

Scheduled date for job interviews: 31 March 2022 at the Medical University of Graz


The Medical University of Graz is committed to increasing the proportion of women in leading positions at universities in Austria and encourages qualified women to apply. Among applicants with equal qualifications, female applicants will be given priority. We also welcome applications from qualified individuals with disabilities and encourage them to apply.

Die Med Uni Graz strebt eine Erhöhung des Frauenanteils an und fordert daher qualifizierte Frauen ausdrücklich zur Bewerbung auf. Dies gilt insbesondere für Leitungsfunktionen sowie für wissenschaftliche Stellen. Bei Unterrepräsentation werden Frauen bei gleicher Qualifikation vorrangig aufgenommen.

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