We are looking for an excellent researcher with great potential to develop an internationally recognized research agenda in the field of artificial intelligence (AI) in neuroscience. The successful candidate is expected to conduct interdisciplinary research and teaching in this field. The new position will complement the research activities of the Department of Neurology and related disciplines in the research field Neuroscience at the Medical University of Graz (e.g., psychiatry, neurosurgery).

The successful candidate should be a proven expert in applying AI to studying mechanisms of brain health and disease and represent these areas in research and teaching.

The Department of Neurology takes a holistic healthcare approach according to the biopsychosocial model regarding research, education and patient care. The successful candidate should be willing to engage in interdisciplinary and interprofessional cooperation between different specialist areas in the field of neuroscience.

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.

Core duties and responsibilities:

• Conducting cutting-edge research in brain health and disease using AI
• Leading an internationally recognized research group and acquiring third-party funding
• Producing high-quality scientific publications
• Networking through national and international research collaborations
• Cooperating on research that exploits the existing strengths of the Department of Neurology; the Institute of Medical Informatics, Statistics and Documentation; the Division of Neuroradiology, Vascular and Interventional Radiology; other related disciplines and the research field Neuroscience at the Medical University of Graz
• Teaching undergraduate and graduate courses, supervising diploma and doctoral students and mentoring and promoting young researchers
• Supporting scientific and public outreach in the research area

Successful candidates must have the following qualifications and skills:

• Doctoral degree in medical informatics, computer science or data science, MD/PhD or equivalent doctoral degree in a field related to neuroscience
• Profound research expertise in the field of AI to understand the healthy and diseased brain based on
  neuroimaging data
• Proven track record of high-quality publications
• Peer-reviewed research grants or other third-party funding
• Experience in leading national and/or international research projects
• Previous experience in teaching and/or (co)supervising pre- and/or postgraduate students
• Postdoctoral research stay abroad or at a different institution than where the doctoral degree was completed
• High level of proficiency in both written and spoken English (equivalent to proficiency level C1 of the Common European Framework of Reference for Languages)

The ideal candidate has the following profile:

• Outstanding knowledge and understanding of the function and changes of the brain in health and disease, alongside a broad clinical understanding
• Within three years of employment: Proficiency in German sufficient for teaching at the Medical University of Graz and participating in university committees (equivalent to proficiency level B1 of the Common European Framework of Reference for Languages)
• Willingness to establish and engage in interdisciplinary and interprofessional cooperation
• Responsible work habits, resilience and problem-solving skills
• Empathy, good communication and social skills
• Systematic and analytical mindset, excellent organizational skills
• Management and leadership skills
• Gender and diversity skills

Application:

We are looking forward to your application via our online job portal:
https://www.medunigraz.at/en/job-openings/tenure-track-professorships

Application deadline: March 26, 2026

Please note that we can only consider complete applications that have been received by the application
deadline. A list of the documents to be submitted can be found here.

Statutory information: The minimum remuneration is based on the collective agreement for university
employees (KV § 49.2).

Scheduled date for job interviews: May 26, 2026 at the Medical University of Graz
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The Medical University of Graz is committed to increasing the proportion of women in management positions 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.