| Location: | Erlangen, Nürnberg, Germany |
| Job Type: | Full-Time |
| Employer: | Friedrich-Alexander-Universität (FAU) |
by the earliest possible date up to three
Open Topic Full Professorships (W3) for Medical Procedures, Processes, and Interventions
and by 01.11.2020 at the latest two
Open Topic Tenure Track Professorships for Medical Procedures, Processes, and Interventions / Digital Transformation (W1 / Assistant Professor)
We seek to appoint leading experts with an internationally visible research and teaching profile (W3) or, respectively, top early career scientists who will develop outstanding expertise in the field (W1), particularly in the following areas:- Medical processes (e.g. precision medicine, guided intervention, digital healthcare @home)
- Neurosensorics (e.g. early diagnosis, neurologic-based communication disorders)
- Personalised treatment (e.g. digital twin, human modelling, predictive medicine/P4)
- Digital diagnostics and therapeutics (e.g. digital radiology, digital pathology, digital endoscopy)
by the earliest possible date up to two
Open Topic Full Professorships (W3) for Medical Robotics
and by 01.11.2020 at the latest an
Open Topic Tenure Track Professorship for Medical Robotics / Digital Transformation (W1 / Assistant Professor)
We seek to appoint leading experts with an internationally visible research and teaching profile (W3) or, respectively, a top early career scientist who will develop outstanding expertise in the field (W1), particularly in the following areas:- Medical robotics (e.g. healthcare robots, surgical robots)
- Intelligent prosthetics (e.g. smart prosthetics, wearable robotics: exoskeletons and orthoses, intelligent implants)
by the earliest possible date up to three
Open Topic Full Professorships (W3) for Data, Sensors, and Devices
and by 01.11.2020 at the latest an
Open Topic Tenure Track Professorship for Data, Sensors, and Devices / Digital Transformation (W1 / Assistant Professor)
We seek to appoint leading experts with an internationally visible research and teaching profile (W3) or, respectively, a top early career scientist who will develop outstanding expertise in the field (W1), particularly in the following areas:- Human-technology interaction (e.g. intelligent multimodal medical UI, smart scanning support, brain-computer-interfaces, neuromonitoring)
- Autonomous and intelligent data acquisition (e.g. automatic quality assurance, smart examination, scan optimisation)
- Data integration, representation and visualisation (e.g. knowledge representation, smart research data management/semantic interoperability, process optimisation, process mining)
- Computational methods for bioinformatics (e.g. artificial intelligence for analytics, -omics, computational neuroscience)
- Intelligent materials and sensors (e.g. sensory/biosensory materials, intelligent sensing, sensing and analysis of human motion and emotion, lab on a chip for digital diagnostics, neuromorphic circuits)
The successful candidates will be expected to participate in teaching on the new consecutive Bachelor’s/Master’s degree programme in Artificial Intelligence and to be involved in setting up this new degree programme. The professors will also be expected to contribute to existing degree programmes such as Medical Engineering, Medical Process Management, and Data Science. The professors will be members of the Faculty of Medicine and the Faculty of Engineering.
The W3 professorships are full-time and permanent positions.
The W1 professorships are financed with funds from a Federal and State programme for supporting young researchers at German universities, for an initial period of three years. Upon successful evaluation, the appointment will be extended for another three years. FAU offers the long-term perspective of a permanent appointment to a W2/W3 professorship if the requirements of the tenure evaluation are met.
Please submit your complete application documents (CV, list of publications, list of lectures and courses taught, copies of certificates and degrees, list of third-party funding) online at https://berufungen.fau.de by 15.04.2020, addressed to the President of FAU. Please contact This email address is being protected from spambots. You need JavaScript enabled to view it. with any questions.