The Institute of Biomedical Engineering at the University of Ulm invites applications for a senior research position (m/f/d) starting as soon as possible; remuneration and benefits according to TV-L E13 regulations. One year appointment (80%-100%) with option for renewal.
Background
Medical wearables are essential tools for acquiring digital biomarkers. Requirements for medical wearables are stringent: Data reliability, safety and security need to be controlled and monitored. Within this project, we develop a novel low-power software for wearables and other embedded systems. Its architecture will inherently support smart sensing of digital biomarkers and embedded decision support with machine learning. It can be safely connected to other medical devices through a health middleware. The solution will contribute to our efforts in building affordable devices for critical care monitoring in limited resource settings. For this, we partnered with other Universities in the Wellcome Trust funded VITAL project. In this project we will translate our findings to a wearable bioimpedance device to monitoring fluid shifts in patients with severe dengue fever.
Specific project aims are to develop an intelligent firmware that can extract digital biomarkers from sensor data, prioritize tasks, and provide basic clinical recommendation based on historical data. The project team will design, test , and publish novel algorithms, software architec-tures and decision support models. The work will lead to a new generation of autonomous medical wearables.
Job description, duties and tasks
You will conduct fundamental and applied research in artificial intelligence and decision support systems for medical wearables. You will work on and contribute to scientific publications in top-ranked journals. We expect you to establish a strong research track in the field of embedded machine intelligence and software design for wearables. You are expected to successfully work with our collaborators and proactively manage your research projects. You will mentor students at all levels, including bachelor, master, and Ph.D. Finally, you will strengthen your skills in acquiring research funding and further develop your own research profile.
Your profile and qualifications
We are looking for candidates who are passionate about digital technologies and health care applications for global health. You can work both independently and in a team. You have a successful history of delivering reliable and creative work.
You must bring:
- an excellent command of English (oral and written)
- a doctoral (PhD) degree in biomedical or electronics engineering (or related field)
- excellent programming skills
- experience with embedded systems or real-time OS
- several publications in internationally recognized journals
We would like you to bring:
- experience in working in a clinical setting or collaborating with clinicians
- exposure to digital biomarkers and counterfactual machine learning
- Basic command of German
- Interest in teaching
- experience in supervising students
