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PhD research position: Wearable Computing, Digital Health, and Machine Intelligence (w/m/d)

NEU Vollzeit Forschung und Lehre

Beschreibung

The successful candidate will conduct research in wearable and IoT sensor systems design and machine learning methods for applications in personalised medicine and Digital Health.We do research on algorithms and methods that leverage sensor and interaction data to recognise context and infer complexbehaviour for decision support applications.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 lab.The position is intended to allow the candidate to further develop her/his scientific, technical, management and transferable skills, both on-the-job and through a personal training programme. Educational activities, including 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.

Qualifications

Candidates must have a master’s degree in computer science or electrical/ computer/biomedical engineering, or similar, with astrong background in one or more of the following areas, evidenced by their academic record, previous project experience, andideally by first publications: machine learning, pattern recognition, timeseries analysis, 3D CAD and image-based reconstruction.Moreover, experience in modern data inference tools (i.e. Python) is needed. Good command of German or a strong aspiration toacquire the German language are sought.

About the Intelligent Embedded Systems Lab

The Intelligent Embedded Systems Lab in cooperation with Hahn-Schickard offers an open-minded, international workingenvironment with an inspiring bandwidth of research projects, spanning topics in advanced data science, 3D computer modelling, biomedical signal processing, and embedded systems engineering.We collaborate with various medical institutes and leading industrial/ business partners as well as support spin-offs. Our labmembers have various educational backgrounds, including but not limited to computer science, medical engineering, electrical engineering, mechanical engineering, and medicine.We offer state-of-the-art laboratory facilities and staff supporting validation studies, including electronics development, additivemanufacturing, and photometric systems. Moreover, we operate a dedicated computing cluster infrastructure for simulations and testing of methods and algorithms.

About University of FreiburgFounded in 1457, the University of Freiburg is one of the oldest German universities and one of the nation’s leading research and teaching institutions. Freiburg is a vibrant city with a a rich cultural and academic life in close vicinity to France and Switzerland.Located at the foot of the Black Forest the city offers excellent recreational opportunities.For international candidates, the University of Freiburg offers logistics of relocation support via its Welcome Service: https://www.international.uni-freiburg.de/de/welcome-service/welcome-service')

ApplicationPlease send your application including cover letter with interests and background (max. 1 page), plus full CV and academictranscripts (non-official copies are acceptable) .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 one week. Furthermore, please note that applications not complying with the above requirements may neither be confirmed not considered.

The salary will be determined in accordance with E13 TV-L.

We are particularly pleased to receive applications from women for the position advertised here.

Bewerbung

Please send your application in English including supporting documents mentioned above citing the reference number 00003815, by 14.07.2024 at the latest. Please send your application to the following address in written or electronic form:

Universität Freiburg
Institut für Informatik
Professur für Intelligente Eingebetettete Systeme
Prof. Dr. Oliver Amft
Georges-Köhler-Allee 302
79110 Freiburg

For further information, please contact Herr Prof. Dr. Oliver Amft on the phone number +49 761 887865733 or E-Mail E-Mail schreiben freiburg.de (please one PDF-document) .

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Arbeiten an der Universität Freiburg

Die Universität Freiburg ist einen Wechsel wert: Mit ihrer über 500-jährigen Geschichte ist sie eine der renommiertesten und forschungsstärksten Universitäten Deutschlands. Hier arbeiten Sie in einer einzigartigen Vielfalt von Fächern, Perspektiven und Menschen für Forschung und Lehre auf höchstem Niveau - mitten in einer der beliebtesten Städte Deutschlands.
Die Personalpolitik der Albert-Ludwigs-Universität Freiburg orientiert sich an den Prinzipien der Gleichstellung und Vielfalt. Die Universität bekennt sich nachdrücklich zu dem Ziel einer familiengerechten Hochschule. Besuchsadresse: Friedrichstr. 39, 79098 Freiburg

Postadresse: Postfach, 79085 Freiburg

In your application, please refer to myScience.ch and referenceJobID64734.