Full Professor of Ambient Assisted Living & Medical Assistance Systems

Location: Bayreuth, Germany
Job Type: Full-Time
Employer: University of Bayreuth
The University of Bayreuth is a research-oriented university with internationally competitive, interdisciplinary focus areas in research and teaching. In the context of setting up the new Upper Franconia Medical Campus, the Faculty of Mathematics, Physics & Computer Science at the University of Bayreuth is currently seeking to appoint a Full Professor of Ambient Assisted Living & Medical Assistance Systems at salary grade W3 to commence as soon as possible. This is a permanent civil service position.

The professorship is integrated into the Upper Franconia Medical Campus, a recently established cooperation that is expected to become a permanent fixture in the region. The Upper Franconia Medical Campus serves to train physicians in the new degree programme "Human Medicine Erlangen/Bayreuth" at Bayreuth Hospital under the auspices of the Medical Faculty of the Friedrich-Alexander-University of Erlangen-Nuremberg. With this and other new professorships in medicine, the University of Bayreuth is creating an outstanding research environment at the Upper Franconia Medical Campus.

Applicants should represent the field of Ambient Assisted Living and Medical Assistance Systems in research and teaching with one or more of the following focal points: IoT-based assistance systems, dynamic sensor systems, biometric systems, machine learning, compressed sensing and distributed IT security. The professor will complement and expand the research opportunities of the clinical professors of the FAU Faculty of Medicine at the Upper Franconia Medical Campus with his or her medical-related field of expertise to create a research profile that is perceived on a transregional level. Applicants should be able to demonstrate the ability to engage in interdisciplinary collaboration through appropriate publications. Experience in acquiring third-party funding and active participation in knowledge transfer is a prerequisite. International networking is desired. Scientific excellence should be proven by internationally relevant publications in the field of sensor technology and assistance systems. Relevant teaching experience and an active contribution to academic self-administration are expected. Teaching is to be provided primarily at the Upper Franconia Medical Campus. The ability to teach in German and English is expected.

The general administrative requirements for hiring professors at universities in Bavaria apply. A complete description of the vacancy can be found at www.uni-bayreuth.de/en.

Applications (CV including a list of publications, list of courses taught, experience obtaining external funding, as well as copies of certificates and diplomas) are to be addressed to the Dean of the Faculty of Mathematics, Physics & Computer Science Prof. Dr. Volker Ulm and submitted via https://uni-bayreuth.berufungsportal.de by 09.04.2023. Applicants are welcome to direct questions and requests for further information to the Dean at This email address is being protected from spambots. You need JavaScript enabled to view it.. Application documents will be deleted in accordance with data protection law following the conclusion of the appointment process.

Apply for this job

Post your job offer now to start hiring the best digital health talent! For further information, please contact us.

Most Popular Now

Integrating Care Records is Good. Using …

Opinion Article by Dr Paul Deffley, Chief Medical Officer, Alcidion. A single patient record already exists in the NHS. Or at least, that’s a perception shared by many. A survey of...

Should AI Chatbots Replace Your Therapis…

The new study exposes the dangerous flaws in using artificial intelligence (AI) chatbots for mental health support. For the first time, the researchers evaluated these AI systems against clinical standards...

AI could Help Pathologists Match Cancer …

A new study by researchers at the Icahn School of Medicine at Mount Sinai, Memorial Sloan Kettering Cancer Center, and collaborators, suggests that artificial intelligence (AI) could significantly improve how...

AI Detects Early Signs of Osteoporosis f…

Investigators have developed an artificial intelligence-assisted diagnostic system that can estimate bone mineral density in both the lumbar spine and the femur of the upper leg, based on X-ray images...

AI Model Converts Hospital Records into …

UCLA researchers have developed an AI system that turns fragmented electronic health records (EHR) normally in tables into readable narratives, allowing artificial intelligence to make sense of complex patient histories...

AI Sharpens Pathologists' Interpret…

Pathologists' examinations of tissue samples from skin cancer tumours improved when they were assisted by an AI tool. The assessments became more consistent and patients' prognoses were described more accurately...

AI Tool Detects Surgical Site Infections…

A team of Mayo Clinic researchers has developed an artificial intelligence (AI) system that can detect surgical site infections (SSIs) with high accuracy from patient-submitted postoperative wound photos, potentially transforming...

Forging a Novel Therapeutic Path for Pat…

Rett syndrome is a devastating rare genetic childhood disorder primarily affecting girls. Merely 1 out of 10,000 girls are born with it and much fewer boys. It is caused by...

Mayo Clinic's AI Tool Identifies 9 …

Mayo Clinic researchers have developed a new artificial intelligence (AI) tool that helps clinicians identify brain activity patterns linked to nine types of dementia, including Alzheimer's disease, using a single...

AI Matches Doctors in Mapping Lung Tumor…

In radiation therapy, precision can save lives. Oncologists must carefully map the size and location of a tumor before delivering high-dose radiation to destroy cancer cells while sparing healthy tissue...

AI Detects Fatty Liver Disease with Ches…

Fatty liver disease, caused by the accumulation of fat in the liver, is estimated to affect one in four people worldwide. If left untreated, it can lead to serious complications...

Meet Your Digital Twin

Before an important meeting or when a big decision needs to be made, we often mentally run through various scenarios before settling on the best course of action. But when...