The
Department of Neurology
is looking for a
Tenure Track Professor of AI to Research Brain Health and Disease in Clinical and Translational Neuroscience
Identification number: UK-NEUOL-2026-003651
Application time:
03/26/2026
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:
- 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
Entry date:
01.06.2026
limited to 6 years
initially limited to 6 years, becoming a tenured position when the qualification agreement is met
Level of employment: 100%
Classification in employment group
A2
according to the collective agreement for university employees.
Application: The Medical University of Graz invites all applicants to submit their application online by 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 interview: May 26, 2026 at the Medical University of Graz
The Medical University of Graz is committed to increasing the proportion of women in management 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.
Apply now
Due to technical conditions, there may be restrictions on online applications. If you cannot access the application form using "Apply Now", please send your application documents to bewerbung@medunigraz.at.
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