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 develop innovative novel approaches, publish them in high-quality scientific publications at renowned conferences and journals, establish interdisciplinary collaborations between computer scientists, engineers, physicians, and industry, and assist in the acquisition of third party funding as well as in administrative tasks of the institute.
We are seeking outstanding candidates that have:
- obtained a diploma or Master’s degree in the area of computer sciences, information systems, medical informatics, business informatics, mathematics, or a comparable course of study
- strong programming (Python, R, etc.) and software engineering skills in at least one of the following fields:
(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
- excellent oral and writing skills in English and/or German
- willingness to work closely with an interdisciplinary project team,
- self-initiative and result-oriented working style, and experience in scientific publication is advantageous.
- an attractive full position (38.5 working hours per week) in a motivated, team-oriented and international research team,
- the possibility of obtaining a PhD,
- this full-time position is initially limited until 31 July 2024,
- a salary according to TV-L salary group E13.
International applicants will need to complete a visa process before hiring can take place. The position is based at PLRI Campus Hannover and part of the PLRI research focus Medical Information Systems (https://www.plri.de/).
We will provide you with cooperative initial trainings 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 including emergency childcare. Furthermore, you will find the usual social benefits of the public service.