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Postdoc / Senior Researcher – Machine Learning for Biomedical Sensor Data. Full time, remuneration according to TV-L Bavaria E13/A13 or E14/A14 scales and regulations (min. starting salary ~63’241 €/year).

The Chair of Digital Health at FAU Erlangen-Nürnberg invites applications for the post of a

Postdoc / Senior Researcher – Machine Learning for Biomedical Sensor Data. Full time, remuneration according to TV-L Bavaria E13/A13 or E14/A14 scales and regulations (min. starting salary ~63’241 €/year).

Das Aufgabengebiet umfasst u. a.

The successful candidate will conduct fundamental and applied research in machine learning methods related to biomedical sensor data modelling, simulation and personalised medicine. Illustrations of potential research directions can be found at the chair’s website and publications; other research directions are possible too. The successful candidate will work on and contribute to scientific publications in top-ranked journals. The candidate may pursue a habilitation thesis within approx. four years of appointment and is offered a path to a permanent, tenure appointment upon attaining previously negotiated achievements. The responsibilities will include:

  • Establish a strong research track in the field of machine intelligence for biomedical sensor data modelling, simulation and personalised medicine.
  • Establish successful collaborations with different institutes and chairs at FAU and the UH Erlangen, as well as with national and international partners.
  • Guide and advise students at all levels, including bachelor, master, and Ph.D.
  • Develop proficiency in research funding acquisition.

Notwendige Qualifikation

We look for a candidate with expertise in artificial intelligence methods and biomedical sensor data. The position is suitable for a young researcher, who is completing the Ph.D., but can accommodate a senior academic too. Educational background should be in computer science, electrical engineering, medical engineering, or related discipline. The successful candidate should have published in international scientific journals already. A university degree and (anticipated) doctoral degree (Ph.D.), pedagogical aptitude, and proficient English language skills are prerequisites for this position. Good command of German or documented aspiration to acquire the German language is a plus.

Bemerkungen

FAU is a member of the Best Practice Club ‘Family and University’, promotes equal opportunities, and provides dual career support. Female candidates are specifically encouraged to apply. The position is open to start immediately or at a negotiated date.

Please send your application in English language, including a cover letter with interests and background (max. 1 page), full CV, and transcripts, as 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. As the chair offers multiple positions, please denote the intended opening in the e-mail subject line: ‘Postdoc / Senior Researcher Machine Learning for Biomedical Sensor Data’.

Applications sent via e-mail will be confirmed within a week. Please note that applications not complying with the above requirements may neither be confirmed not considered.

Please note that the candidate evaluation involves one or more scientific-technical presentations and interview appointments to be held via teleconferencing.

Bewerbungsschluss
15.05.2021

Detailinformationen

Stellenbezeichnung
Postdoc / Senior Researcher – Machine Learning for Biomedical Sensor Data. Full time, remuneration according to TV-L Bavaria E13/A13 or E14/A14 scales and regulations (min. starting salary ~63’241 €/year).
Besetzung zum
01.07.2021

Entgelt
TVL E13 (je nach Qualifikation und persönlichen Voraussetzungen)
Teilzeit / Vollzeit
Vollzeit
Befristung
3-4 years

Kontaktperson für weitere Informationen
Prof. Dr. Oliver Amft
Telefon: +49 9131 85-23601
E-Mail: oliver.amft@fau.de
Lehrstuhl für Digital Health
Henkestr. 91, Geb. 7
91052 Erlangen Bayern
Übersicht

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