The Chair of Digital Health at FAU Erlangen-Nürnberg invites applications for the post of a
Doctoral Researcher –
Wearable computing, embedded systems, and digital modelling
(Full time research position starting as soon as possible, remuneration according to TV-L E13 Bavaria regulations.)
Candidates must have a master’s degree in computer science and/or electrical/computer/biomedical engineering with a strong background in one or more of the following areas, evidenced by their academic record, previous project experience, and ideally by first publications: 3D motion image reconstruction, embedded electronics, 3D CAD, digital fabrication, and pattern recognition. Moreover, candidates must have experience in time-series analysis and modern data analytics tools (i.e. Python).
Duties and tasks
The successful candidate will conduct research in embedded sensor systems design for personalised medicine based on innovative 3D modelling methods developed at the chair. Illustrations of potential projects can be found at the chair’s website and publications. The successful candidate will work on and contribute to scientific publications in leading journals of the field. The candidate should defend their thesis within three to four years of doctoral research at the chair.
The position is intended to allow the candidate to further develop her/his scientific, technical, management and transferable skills, both on-the-job and in dedicated courses. Educational activities, including projects and seminar guidance of undergraduate and (post-) graduate students and contributing to teaching in accordance with the appointment regulations will contribute to career and complementary skills development.
Founded in 1743, FAU has a rich history. It is a strong research university with an international perspective and one of the largest universities in Germany, with 39.868 students, 263 degree programmes, 4,000 academic staff (including over 576 professors), 177,6 million euros (2016) third-party funding, and 500 partnerships with universities all over the world. Teaching at the University is closely linked to research and focuses on training students in both theory and practice to enable them to think critically and work independently. The research itself also strikes the perfect balance between a theoretical approach and practical application. FAU’s outstanding research and teaching is reflected in top positions in both national and international rankings. More information on can be found online: FAU, Chair of Digital Health.
FAU is a member of the Best Practice Club “Family and University” and promotes equal opportunities. Female candidates are specifically encouraged to apply. The position is open to start immediately or at a negotiated date.
Please send your application including cover letter with interests and background (max. 1 page), full CV, and transcripts, in one PDF document via e-mail (see contact information below) to Prof. Dr. Oliver Amft, Chair of Digital Health, FAU Erlangen-Nürnberg, Henkestrasse 91, 91052 Erlangen.
Please note that the candidate evaluation involves one or more scientific-technical presentations and interview appointments to be held via teleconferencing. Applications sent via e-mail will be confirmed within a week.
If you have questions regarding this position offer, please contact Prof. Dr. Oliver Amft.