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The Pattern Recognition Lab at the Friedrich-Alexander University Erlangen-Nuremberg (FAU, Germany) invites applications for a postdoctoral position in Computer Science / Biomedical Engineering. We are about to start a three-year project on
"Individualized, Sensor-based Diagnostics and Therapy Monitoring for Mobility Impairment Analysis".
Candidates for this position should have a PhD in Computer Science or a related discipline and a significant technical track record including publications in top Computer Science and/or Biomedical Engineering conferences and journals. The ideal candidate blends technical expertise in hardware and software of wearable computing systems with an interest in sports science, biomechanics, and medicine as an application area. The candidate should also be enthusiastic about building a research program including project proposals and (limited) participation in teaching at the intersection of computer science and biomedical engineering applications.
The FAU is one of the largest universities in Germany. With its five faculties, FAU offers a scope of subjects ranging from the Humanities to Law and Economics as well as Sciences, Medicine and Engineering. The FAU’s mission statement “Advance through Networks” reflects the close collaboration between the single disciplines.
The project start date is January 1, 2014. Initial funding is available for 24 months (an extension to 36 months is possible based on an intermediary evaluation of the project). Successful candidates will be paid according to 100% TV-L E13. Prospective applicants should apply with a cover letter and academic CV. Applications will be accepted until the position is filled. For informal inquiries about the position please contact Prof. B. Eskofier (eskofier (a t) cs.fau.de), head of the Digital Sports Group at the Pattern Recognition Lab.
Further details are online at: http://www5.cs.fau.de/open-positions/.
Prof. Bjoern Eskofier, Ph.D.
Digital Sports Group
Pattern Recognition Lab (Computer Science 5)
Department of Computer Science
Friedrich-Alexander-University Erlangen-Nuremberg
Haberstr. 2, 91058 Erlangen, Germany
I-net: http://www5.cs.fau.de
Phone: +49 9131 85-27297
Email: eskofier (a t) cs.fau.de
"Individualized, Sensor-based Diagnostics and Therapy Monitoring for Mobility Impairment Analysis".
Candidates for this position should have a PhD in Computer Science or a related discipline and a significant technical track record including publications in top Computer Science and/or Biomedical Engineering conferences and journals. The ideal candidate blends technical expertise in hardware and software of wearable computing systems with an interest in sports science, biomechanics, and medicine as an application area. The candidate should also be enthusiastic about building a research program including project proposals and (limited) participation in teaching at the intersection of computer science and biomedical engineering applications.
The FAU is one of the largest universities in Germany. With its five faculties, FAU offers a scope of subjects ranging from the Humanities to Law and Economics as well as Sciences, Medicine and Engineering. The FAU’s mission statement “Advance through Networks” reflects the close collaboration between the single disciplines.
The project start date is January 1, 2014. Initial funding is available for 24 months (an extension to 36 months is possible based on an intermediary evaluation of the project). Successful candidates will be paid according to 100% TV-L E13. Prospective applicants should apply with a cover letter and academic CV. Applications will be accepted until the position is filled. For informal inquiries about the position please contact Prof. B. Eskofier (eskofier (a t) cs.fau.de), head of the Digital Sports Group at the Pattern Recognition Lab.
Further details are online at: http://www5.cs.fau.de/open-positions/.
Prof. Bjoern Eskofier, Ph.D.
Digital Sports Group
Pattern Recognition Lab (Computer Science 5)
Department of Computer Science
Friedrich-Alexander-University Erlangen-Nuremberg
Haberstr. 2, 91058 Erlangen, Germany
I-net: http://www5.cs.fau.de
Phone: +49 9131 85-27297
Email: eskofier (a t) cs.fau.de