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

Albert-Ludwigs-Universität Freiburg; Germany (OH); On-site; USD 62,821 - 85,665; Full time

Job summary

Albert-Ludwigs-Universität Freiburg invites applications for a Postdoc (m/f/d) in Wearable and Ubiquitous Computing. The successful candidate will lead research in embedded AI, wearables, IoT and will support teaching at Bachelor’s, Master’s and PhD levels.

The role involves developing applications in biomedicine, digital health, space, or automation and contributing to new lab facilities. The position requires a PhD in a related field, strong publication record, and excellent communication

Qualifications

• PhD in computer science, embedded systems, electrical engineering, biomedical engineering, or related disciplines.
• Strong research and leadership qualities in wearable and ubiquitous computing.
• Excellent communication skills and ability to teach at Bachelor’s, Master’s and PhD levels.
• Fluent German and English, or willingness to learn German.

Responsibilities

• Lead research activities in embedded AI, wearable and ubiquitous computing and IoT.
• Support teaching at Bachelor’s, Master’s and PhD levels in related topics.
• Publish work, secure external funding, and drive practical applications.

Job description

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

Position Type: Full‑time | Research and Instruction

• Publication date: 9 July 2026
• Application deadline: 30 September 2026
• Start date: At the earliest possible date
• Scope of work: Full‑time position
• ID No.: 00005080

Description

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.

Research activities include, for example, optimisation of machine learning for resource‑constrained devices, algorithms for context recognition, and modelling and simulation for synthetic machine learning. Projects are linked to applications in biomedicine, digital health, space, or automation. A new lab space with motion and surface capture facilities will be used for experimental work.

Qualifications

Key selection criteria include research and leadership qualities, especially in wearable and ubiquitous computing. A PhD in computer science, embedded systems, electrical engineering, biomedical engineering, or related disciplines is required. Academic achievement should be demonstrated through scientific publications, patent applications, external funding acquisition, and teaching experience. An independent, hands‑on approach and excellent communication skills are required. A keen interest in practical applications and translating research findings into real‑world solutions is expected. Excellent knowledge of German and English, or a commitment to learn German as a foreign language, is desirable.

Benefits

Remuneration is in accordance with pay scale E13. Working hours are full‑time, with negotiable reductions in working hours.

Application Process

Direct applications are preferred. Submit a single PDF file containing a cover letter, CV, and supporting documents (uncertified) quoting reference number 00005080 by the stated deadline.

For further information, please contact Prof. Dr. Oliver Amft by e‑mail at [e-mail] or by phone at [phone].

We will be particularly pleased to receive applications from women for this position.

Office Address

Embedded Systems, Prof. Dr. Oliver Amft,
Georges‑Köhler‑Allee 30479110 Freiburg