w3 professorship in machine learning for medical data
TRANSCRIPT
hhu.de
Please do not submit application materials in folders and be sure to send copies only, as documents will not be returned (they will be destroyed after the selection procedure has been completed).
The Faculty of Mathematics and Natural Sciences at Heinrich Heine University Düsseldorf is inviting applications for the position of a
W3 Professorship in Machine Learning for Medical Datato be filled as soon as possible. Suitable candidates (m/f/d) have a background in machine learning. Applications from candidates (m/f/d) from adjacent fields, such as data science, data mining, or bioinformatics, are also welcome, provided that they have a strong background in machine learning, too. Suitable candidates (m/f/d) have extensive experience in applying techniques from machine learning to medical data. They must have an excellent track record of publications and acquisition of competitive third party funding in those areas. Examples for relevant application domains include single cell and multi-omics data analysis, image analysis, software as a medical device, and electronic health care records. This is a nonexhaustive list and other types of medical data are of interest as well. The professorship is part of a larger effort to establish a new Center of Digital Medicine and there will be excellent opportunities for interdisciplinary collaboration with a wide range of research groups in medicine, computer science, and bioinfor-matics. The successful candidate (m/f/d) is expected to contribute to collaborative research efforts and to take a leading role in the Heine Center for Artificial Intelligence and Data Science (HeiCAD). Teaching will be in German and English, and comprises also basic computer science courses. International candidates (m/f/d) are expected to acquire the ability to teach in German after a reasonable time frame.
Conditions for employment are, in addition to general administra-tive conditions in accordance with § 36 of the North Rhine-West-phalia University Act (Gesetz über die Hochschulen des Landes Nordrhein-Westfalen), an aptitude for teaching, exceptional competence in research, and additional scientific achievements.
Female candidates are encouraged to apply; they will be given preference in cases of equal aptitude, ability, and professional achievements unless there are exceptional reasons for choosing another applicant.
Heinrich Heine University lives the principle “excellence through diversity”. HHU has signed the “Charta der Vielfalt (diversity)” and successfully participated in the audit “Shaping Diversity” of the Stifterverband. HHU is certified as family-friendly and aims to promote its employees’ diversity.
Applications from suitably qualified severely disabled persons or disabled persons regarded as being of equal status according to Book IX of the German Social Legal Code (SGB – Soziales Gesetzbuch) are encouraged.
At Heinrich Heine University Düsseldorf, appointments may also be part-time, provided there are no overriding administrative reasons in individual cases for requiring full-time employment.
Heinrich Heine University Düsseldorf offers a Dual Career Service and is a member of the Rhineland Dual Career Network (Dual Career Netzwerk Rheinland). Further information can be found under www.dualcareer-rheinland.de.
For further inquiries, please contact Prof. Dr. Stefan Harmeling.
Applicants (m/f/d) should submit (1) a personal statement, (2) a curriculum vitae that includes lists of all scientific publications and of competitively acquired third-party funding (incl. grants), (3) copies of academic degrees, (4) a short statement of research and teaching interests (max. 5 pages), as well as (5) a list of teaching activities in digital format. Applications should be sent, as a single PDF file, citing Reference No 12.21-3.1, to the Dean of the Faculty of Mathematics and Natural Sciences ([email protected]).
The closing date for applications is 23.09.2021.