[Ieee_vis_open_positions] 8 PhD Positions in Medical XAI at Ulm University

[Timo Ropinski]

Dear all,

starting January 2027, 8 doctoral positions are available within

RTG KEMAI (Knowledge Infusion and Extraction for Explainable Medical AI) 
at Ulm University, funded by DFG.

The KEMAI team aims at combining the benefits of knowledge- and 
learning-based systems, to not only allow for state-of-the-art accuracy 
in medical diagnosis, but to also clearly communicate the obtained 
predictions to physicians, considering ethical implications within the 
medical decision process.
KEMAI’s main purpose is to interdisciplenarily train doctoral students 
from computer science, medicine, and ethics in the area of explainable 
medical AI. The RTG offers a structured doctoral program that creates an 
environment in which young scientists can conduct research at the 
highest level in the field of medical AI.

We invite highly motivated candidates with a passion for research and a 
desire to contribute to an interdisciplinary academic environment to 
apply for these positions. (The positions are fully funded for 3+1 years 
and come with an E13 salary.)

Applications are now being accepted, with a deadline at the end of each 
month until all positions have been filled.

For further information and application please visit the RTG's webiste: 
https://kemai.uni-ulm.de/

Best,
    Timo Ropinski.
-- 
Prof. Dr. Timo Ropinski
Visual Computing Group
Institute of Media Informatics, Ulm University

http://viscom.uni-ulm.de
timo.ropinski at uni-ulm.de
Room: O27/3216 | James-Franck-Ring | 89081 Ulm | Germany
Phone: +49 (0)731 50-24200 | +49 (0)731 50-31321 (Secr.)