Tenure track professorships: A big boost for science

Are you one of the best (junior) researchers in the world and want to raise the level of basic and clinical research with your pioneering achievements? The best (junior) researchers from around the world who hold their own in the selection procedure have a unique opportunity as tenure track professors at Med Uni Graz: they can establish a working group in their field of research in the state-of-the-art, point-of-care environment of Medical Science City Graz and share their special expertise with the international research community over the course of a long-term scientific career. The position is initially limited to six years, during which the goals of the qualification agreement must be met. If the candidate demonstrates outstanding and remarkable achievements, an evaluation of the qualification agreement may be possible sooner. When the defined goals have been achieved, an unlimited term contract as an associate professor is concluded, which entails belonging to the professorial curia as well as taking on responsibility for one's own field of research. On to new research adventures!

Einblicke in unsere Arbeit

Julia Kargl ist als Assoziierte Professorin am Lehrstuhl für Pharmakologie tätig.

The Institute for Medical Informatics, Statistics and Documentation is looking for a

Tenure Track Professor of Artificial Intelligence for Multimodal Data

Identification number: I-IMI-2025-003574

Application time: 01/29/2026

We are looking for an excellent researcher with great potential to develop an internationally recognized research agenda in the field of artificial intelligence for multimodal data. The Institute for Medical Informatics, Statistics and Documentation conducts research in the clinical medical environment. The focus is on harnessing and using clinical data for research, teaching and patient care. This involves developing and evaluating tools and methods for IT and biostatistics, from data collection to processing to statistical analysis. In addition, the institute has an extensive network of national and international partners in science and industry that can be relied upon to promote innovative projects as well as interdisciplinary exchange. 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 basic and applied research in the field of machine learning for multimodal medical data, with an emphasis on real-world health care and biomedical research data
Developing AI-based solutions for processing structured and unstructured clinical data such as images, texts and molecular data
Supporting the planning and implementation of a flexible, effective, sustainable and safe AI platform
Producing high-quality scientific publications on a regular basis in the field of artificial intelligence for multimodal data
Leading an internationally recognized research group and acquiring third-party funding
Networking through national and international research collaborations
Teaching undergraduate and graduate courses, supervising diploma and PhD students and mentoring and promoting young researchers
Supporting scientific and public outreach in the research area

Successful candidates must have the following qualifications:

PhD or equivalent doctoral degree in informatics, computer science, data science or a related field
Profound research expertise in at least two of the following areas: (1) large language models, (2) data science and statistics, (3) classical machine learning and (4) neural approaches
Proven track record of high-quality publications
Peer-reviewed research grants or other third-party funding as a lead or principal investigator
Previous experience in teaching and/or (co)supervising pre- and postgraduate students
Postdoctoral research fellowship abroad or at a different institution than where the PhD was completed
Experience in project management with respect to implementation of AI tools
High level of proficiency in written and spoken English (equivalent to proficiency level C1 of the Common European Framework of Reference for Languages)
Proficiency in German sufficient for teaching at the Medical University of Graz and participating in university committees (to be acquired within three years of the start of employment)

The ideal candidate has the following profile:

Team player able to motivate colleagues and students
Responsible work habits and problem-solving skills
Empathy as well as communication and social skills
Systematic and analytical thinker
Management and leadership skills
Gender and diversity skills

Entry date: 01.04.2026

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 29th of January 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: 23rd of March 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.

back

Informationen zu der steuerlichen Zuzugsbegünstigung finden Sie hier.

Information about the application documents