The Institute for Machine Learning at the Faculty of Engineering and Natural Sciences announces the opening for a Tenure-Track position in Reinforcement Learning at the Johannes Kepler University Linz for female candidates holding a Doctorate/PhD degree.
In accordance with the collective agreement for employees and the Austrian Universities Act, the Institute for Machine Learning at the Faculty of Engineering and Natural Sciences announces the opening for a full-time (40h/week), six-year Tenure-Track position at the Johannes Kepler University Linz. The university wishes to increase the proportion of academic female faculty and therefore, this position is open exclusively for female applicants in support of the Development Plan. The earliest planned start date for the future position holder is October 1, 2025.
The position is dedicated to highly qualified junior researchers with a Doctorate/PhD and corresponding expertise in the field of “Reinforcement Learning”. The position offers the possibility of concluding a qualification agreement that – upon the successful completion of the requirements as outlined in the agreement – may result in a permanent position as Associate Professor (§ 99 Sec. 5 and 6 of the Austrian Universities Act).
The successful candidate should have an outstanding academic track record after completing the Doctorate/PhD, demonstrating excellence in academic publishing, and possessing expertise in teaching university-level courses. Ideally, the candidate has already demonstrated her ability to successfully acquire third-party funding.
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Contact
Institute for Machine Learning
Univ. Prof.
Dr. Sepp Hochreiter
+43 732 2468 4520
office(at)ai-lab.jku.at
Employment Terms
full-time position
Initially limited to a 6-year period
(§ 99 Austrian Universities Act)
Application Deadline
May 28, 2025
Detailed information on the position and its strategic direction of research, the focus in research and teaching, the expected scope of contributions to teaching/education, the required degree of professional experience, the main qualification goals, as well as information regarding the existing research infrastructure, and other job-specific requirements can be found in the detailed job description at www.jku.at/tenuretrack, opens an external URL in a new window.
The minimum salary in accordance with the collective agreement of 2025 is EUR 69,060.60 per year based on full-time employment. The annual minimum salary under the collective agreement will be raised on EUR 81,314.80 upon concluding a qualification agreement.
If you have any questions, please contact Prof. Dr. Sepp Hochreiter, Institute for Machine Learning at the JKU Linz, P +43 732 2468 4520, E-mail: office(at)ai-lab.jku.at.
When assessing the candidates’ accomplishments, performance, and future potential, the JKU will take the candidates’ individual background and personal history into account by acknowledging that academic and professional success and accomplishments can happen at different stages in life (and can include periods of reduced employment, or career interruption on account of having to provide care, childcare, etc.). In this regard, qualifications are assessed and evaluated in terms of equal opportunity, taking life-course factors, such as academic age, into account.
In accordance with the JKU Plan for the Advancement of Women, the position is open solely to female applicants. The Johannes Kepler University welcomes applications from qualified candidates with physical disabilities. These applications will be given special consideration.
In case of interest in the position, you are invited to submit your application to the Rector of the Johannes Kepler University by May 28, 2025 at the latest. Please upload your documents electronically in English via http://forms.jku.at/pm/tenuretrack?lang=en, opens an external URL in a new window.
The following documents should be included with your application:
- cover letter including an account of your motivation and qualifications for the position
- CV including academic certificates
- complete list of publications
- three full-text publications you consider to be most important as PDF
- list of all previously held university-level courses and lectures (evaluation results, if available)
- list of current and former research projects and collaboration efforts (academic and industrial)
- description of acquired third-party funding
- list of previous practical experiences related to your research and teaching activities
- names and contact details of up to three references
- exposé (approximately 10-12 pages) outlining planned projects and objectives in research and teaching
The hearings in the selection procedure for this position are scheduled for late August or early September.
