Tenure-Track Position for Machine Learning and Deep Learning for Medical Imaging
The Department of Virtual Morphology (Institute of Anatomy and Cell Biology), Faculty of Medicine at the Johannes Kepler University Linz invites applications for a tenure-track position for Machine Learning and Deep Learning for Medical Imaging for applicants holding a Doctorate/Ph.D. and in accordance with the collective agreement for university employees.
The successful candidate will be expected to drive advancements in the field of Artificial Intelligence forward, particularly Machine Learning for Medicine & Healthcare. A core responsibility includes drafting and holding a university-level course titled "Deep Learning for Medical Imaging" for students in the JKU’s Master’s degree program, "Artificial Intelligence". In addition, the successful candidate will offer additional courses as part of the graduate degree program in Artificial Intelligence and liaison between physicians and students in the Artificial Intelligence program.
The successful candidate should demonstrate in-depth research expertise in Machine Learning for Medicine & Healthcare, particularly in the following areas: developing Deep Learning & representing learning methods in medicine and healthcare, developing Machine learning and Deep Learning methods to support Medical Imaging and multi-modal data, interpretability methods to support Machine Learning methods in medicine, and the use of large language models in medicine.
The tenure-track position, initially allocated to the Department of Virtual Morphology (Faculty of Medicine at the Johannes Kepler University Linz) and secondly allocated to the Institute of Machine Learning (Johannes Kepler University Linz), seeks to fill a six-year, full-time position (40 hours a week); the successful candidate should hold a doctorate/Ph.D. degree in accordance with the collective agreement for university employees and the Austrian Universities Act.
The position is intended for highly qualified junior researchers/scholars holding a doctorate/Ph.D. in the field of medicine, natural sciences, or computer science (artificial intelligence, computer science, human medicine, biology, chemistry, or a similar degree program), and provides an option to conclude a qualification agreement and – to this end and after a positive decision is rendered – hold a permanent position as Associate Professor (§ 99 Sec 5 and 6 of the Austrian Universities Act).
The successful candidate should demonstrate a track record of scholarly activity following a doctorate/Ph.D. program, as well as outstanding publications, teaching experience, and successfully acquiring external project funding; completion of the doctorate/Ph.D. degree should be no longer than 10 years prior (deducting career interruptions on account of parental leave, military service, etc.). A detailed job description is available at: www.jku.at/tenuretrack. The job description can provide information about position’s strategic positioning in the field of research, the area of focus, the expected type of research, the expected scope of contributions in regard to the educational program, the professional experience required, what key qualification objectives are to be attained as part of the position, essential information about the existing research infrastructure, and other specific requirements about the position.
The annual minimum salary in accordance with the collective agreement is EUR 60,926.60 gross based on full-time employment. A higher salary is subject to negotiation. Once the qualification agreement has been concluded, the annual minimum salary under the collective agreement will be raised to EUR 71,738.80.
If you have any questions, or would like more detailed information about the position, please contact Univ. Prof. Dr. Franz Fellner (head of the Department of Virtual Morphology, E-mail franz.fellner@kepleruniversitätsklinikum.at, or Assoc. Prof. Mag. Dr. Günter Klambauer (Institute for Machine Learning, E-mail klambauer@ml.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.
The Johannes Kepler University wishes to increase the proportion of female academic faculty and, for this reason, especially welcomes applications by qualified women. If applicants are equally qualified, a woman will be given preference for this position. The university welcomes applications from qualified applicants who have physical disabilities. These applications will be given special consideration. Prospective applicants interested in the position are requested to electronically send a complete application to the Rector of the Johannes Kepler University by December 13, 2023, observing the five-week application deadline. Please submit the application electronically, in English, under https://forms.jku.at/pm/tenuretrack?lang=en, opens an external URL in a new window.
Please enclose the following documents with your application: An application letter (which includes a letter of intent and addresses suitability for the position, in particular), a current curriculum vitae, a list of publications (including a ranking of the three publications you consider to be the most important), a description of prior activities in education and lecturing, including student any student evaluations, a description research projects, studies, and collaboration efforts, a description of prior real-world practices and activities related in content to the activities in research and teaching, a description of prior activities in the healthcare field, an exposé about prospective projects, studies, and objectives in the field of research and teaching.
Contact
Head of the Department of Virtual Morphology
Univ. Prof.
Dr. Franz Fellner
franz.fellner@kepleruniversitätsklinikum.at
Institute for Machine Learning
Assoc. Prof.
Mag. Dr. Günter Klambauer
klambauer@ml.jku.at
Employment Terms
full-time position
Initially limited to a 6-year period
(§ 99 Austrian Universities Act)
Application Deadline
December 13, 2023
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