The Faculty of Engineering, Computer Science and Psychology, Institute of Biomedical Engineering, is seeking to fill the position, starting as soon as possible
Professor (W3) of Mental Health Technologies
no management responsibilities
Ulm University has a distinct research focus in medicine, engineering, computer science, natural sciences, and psychology. Strong collaborations exist currently between engineering and the medical faculty. With the advertised professorship, we aim to deepen and strengthen the research at the interface of engineering and the disciplines of psychology, psychotherapy, psychiatry, and neurology.
We seek a scientist working at the forefront of biomedical signal and data processing with potential applications in mental health. Research areas may include:
- Development of novel technologies for active and passive health sensing
- Creation of models for predicting health and progress in therapy
- Personalization of models based on real-time sensor data
- Development of machine learning methods for transparent data interpretation and biomarker identification
- Design of digital tools for the study and treatment of mental or neurological disorders
We are looking to hire an outstanding multidisciplinary researcher who can draw on a background in electrical, computer or biomedical engineering, computer science, or a related engineering discipline, and who has a demonstrated interest in mental and brain health. Scientific excellence in relevant engineering areas - such as biomedical signal processing, sensor and data fusion, modeling, intervention planning, machine learning or neural engineering - is expected.
The successful candidate will have demonstrated a passion for teaching and a willingness to take on tasks related to academic self-governance, including participation in Ulm’s new degree program in Biomedical Engineering. In addition, the successful candidate is expected to develop specialized courses, taught in German and English, that focus on the professor's area of expertise.
Employment requirements are completed university studies as well as teaching aptitude, a doctoral degree and further pertinent scientific achievements (§ 47 LHG).