Postdoc (m/f/d) in Wearable and Ubiquitous Computing

Albert-Ludwigs-Universität Freiburg; Freiburg im Breisgau; Vor Ort; EUR 52.000 - 64.000; Vollzeit

Zusammenfassung

Albert-Ludwigs-Universität Freiburg seeks a postdoctoral researcher in Wearable and Ubiquitous Computing to lead embedded AI and IoT projects. You will develop context recognition algorithms and translate findings into biomedical or digital health applications, while contributing to teaching at Bachelor, Master and PhD levels.

The lab offers state-of-the-art facilities and collaborates with Hahn-Schickard, providing a multicultural environment.

Qualifikationen

• PhD in computer science, embedded systems, electrical engineering or related disciplines.
• Research and leadership experience in wearable and ubiquitous computing.
• Scientific publications, patent applications, external funding acquisition and teaching experience.
• Independent, hands-on approach and excellent communication skills.
• Keen interest in practical application of research findings.
• Excellent knowledge of German and English, or a commitment to learn German.

Aufgaben

• Optimise machine learning for resource‑constrained computing.
• Develop algorithms for context recognition.
• Model and simulate synthetic machine learning.
• Translate research findings into practical applications in biomedicine, digital health, space or automation.
• Use and contribute to new lab space with motion and surface capture facilities.
• Support university teaching at Bachelor’s, Master’s and PhD level.

Kenntnisse

Wearable computing

Embedded systems

Research leadership

Excellent communication

German/English

Ausbildung

PhD in computer science / engineering

Jobbeschreibung

Postdoc (m/f/d) in Wearable and Ubiquitous Computing

NEU

Postdoc researcher (f/m/d) in Wearable and Ubiquitous Computing.

Position

The successful candidate will lead research activities in embedded AI, wearable and ubiquitous computing and the Internet of Things (IoT). The role also involves supporting university teaching at Bachelor’s, Master’s and PhD level in topics related to Wearable and Ubiquitous Computing.

Responsibilities

• Optimise machine learning for resource‑constrained computing.
• Develop algorithms for context recognition.
• Model and simulate synthetic machine learning.
• Translate research findings into practical applications in biomedicine, digital health, space or automation.
• Use and contribute to new lab space with motion and surface capture facilities.
• Support university teaching at Bachelor’s, Master’s and PhD level.

Qualifications

• PhD in computer science, embedded systems, electrical engineering, biomedical engineering or related disciplines.
• Research and leadership experience in wearable and ubiquitous computing.
• Scientific publications, patent applications, external funding acquisition and teaching experience.
• Independent, hands‑on approach and excellent communication skills.
• Keen interest in practical application of research findings.
• Excellent knowledge of German and English, or a commitment to learn German.

About the Intelligent Embedded Systems Lab

The research group works closely with Hahn‑Schickard and offers an open, multidisciplinary and multicultural environment with a wide range of research activities, including data science, biomedical data analysis, computer‑based 3D/4D modelling and embedded system design.

Collaborations with medical institutes, industry partners and spin‑offs translate research findings into practical applications. The lab operates state‑of‑the‑art laboratories, including electronics development, additive manufacturing and photometric systems, and dedicated servers for simulations and testing.

Application

This is a full‑time position with a start date immediately or by agreement. Remuneration is according to pay scale E13. Reduction in working hours is negotiable.

Please submit your application in a single PDF file quoting reference number 00005080, including a cover letter, CV and supporting documents (uncertified), by 30 September 2026.

Direct applications are preferred. The application process involves one or two interviews via video conference or in person. Applications that do not meet the formatting requirements will not be considered.

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

For further information, please contact Prof. Dr Oliver Amft by email: [e-mail].

Contact address: Embedded Systems, Prof. Dr Oliver Amft, Georges‑Köhler‑Allee 30, 47110 Freiburg.