Open Topic Tenure Track Professorship for Data, Sensors and Devices/Digital Transformation (W1 / Assistant Professor)

The Faculty of Engineering at Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU) invites applications for an

Open Topic Tenure Track Professorship for Data, Sensors and
Devices/Digital Transformation
(W1 / Assistant Professor)

at the Department of Artificial Intelligence in Biomedical Engineering.

The professorship is part of the Federal and State programme for supporting young researchers and is to be filled by the earliest possible starting date 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 W3 professorship if the requirements of the tenure evaluation are met.

We seek to appoint a top early career scientist who will develop outstanding expertise in the field of artificial intelligence in biomedical engineering focusing on data, sensors and devices/digital transformation. Candidates should have already developed their own teaching and research profile, particularly in the following areas:

• Human-technology interaction (e.g. intelligent multimodal medical UI, smart scanning support, brain-computer interface, neuromonitoring)
• Autonomous and intelligent data acquisition (e. g. automated 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)

Successful candidates must be willing to collaborate in setting up and teaching a new Bachelor’s and Master’s degree programme in Artificial Intelligence in addition to teaching in existing degree programmes such as Medical Engineering, Medical Process Management and Data Science. The professor will be appointed as a member of the Faculty of Medicine and the Faculty of Engineering.

Successful candidates demonstrate initial academic achievements and the capacity for independent research at the highest international standards. You have substantial research experience abroad and/or experience in managing research projects and in raising third-party funding. A university degree and an outstanding doctoral degree as well as a passion for education and pertinent teaching experience are also prerequisites. Candidates who are able and willing to teach in both English and German are desired.

FAU expects applicants to become actively involved in administering academic affairs and in developing strategic initiatives. FAU pursues a policy of intense student mentoring and therefore expects its teaching staff to be present during lecture periods.

FAU offers career development, mentoring and an attractive initial research budget. Based on international standards and transparent performance agreements, FAU ensures a fair tenure track evaluation process.

In its pursuit of academic excellence, FAU is committed to equality of opportunity and to a proactive and inclusive approach, which supports and encourages all under-represented groups, promotes an inclusive culture and values diversity. FAU is a family-friendly employer and is also responsive to the needs of dual career couples.

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 24.01.2021, addressed to the President of FAU. Please contact ai@fau.de with any questions.