Your challenges and tasks:
Clinical decision support systems can take on specific tasks in diagnostic and therapeutic processes and support medical professionals in decision-making, through the abilities to process large amounts of data in a short time and to consider individual patient profiles (genetic information, biomarkers, hundreds of laboratory values) during processing. Increasingly, such systems contain AI (Artificial Intelligence) components and predictive pathophysiological and pathobiochemical simulations that support diagnosis and therapy decisions. However, to generate trust in such components and simulations in practice is challenging and requires explainable and interpretable underlying models as well as calculated decisions and simulation results. It also demands the quantification and communication of uncertainty associated with data acquisition, model building and recommendation computation. Models are often generated in hybrid approaches blending expert modeling and learning from data, which requires (visual) guidance in modeling and verification. The maintenance of models and clinical decision support systems is crucial and demands updates to reflect new clinical knowledge and data. Finally, the utilization of clinical decisions support systems in different contexts and by different user groups (individual vs. collaborative decision-making and physicians vs. patients) requires tailored approaches.
The successful applicant is expected to assist in the acquisition of third party funding, publish high-quality scientific publications at renowned conferences and journals, establish interdisciplinary collaborations between computer scientists, engineers, physicians, and industry, and assist in University teaching and the supervision of students.
We are seeking outstanding candidates that have:
- obtained or are close to obtaining a PhD degree in the area of computer sciences, information systems, medical informatics, mathematics, or a comparable course of study
- strong research experience as well as programming (Python, R, etc.) and software engineering skills in at least one of the following fields:
- Clinical Decision Support Systems
- (Explainable) Artificial Intelligence
- Visualization and analysis of medical image and/or clinical data
- Machine learning, data mining, predictive modeling
- Medical data science, medical knowledge engineering
- outstanding publication profile,
- excellent oral and writing skills in English; German language skills are advantageous,
- willingness to work closely with an interdisciplinary project team,
- self-initiative and result-oriented working style, and
- experience in the acquisition of external funding is preferred.
- an attractive full position (38.5 working hours per week) in a motivated, team-oriented and international research team
- the possibility of acquiring own third-party grants and to develop the own career
- this full-time position is initially limited until 31 December 2023
- a salary according to TV-L salary group E14
We enable you a collegial initial training and diverse training and development opportunities as well as an extensive health program for employees. In addition, we offer reliable family support and there is a day care center for children with emergency childcare. Furthermore, you will find the usual social benefits of the public service.