Research Associate / Doctoral Candidate (Speech Processing) | Wissenschaftlicher Mitarbeiter / Doktorand (w/m/d)
Technische Hochschule Nürnberg Georg Simon Ohm Land Bayern
Job Summary
This role involves joining the DFG-funded research initiative "Speech Processing in Health Sciences (SPEECHES)" at the Technische Hochschule Nürnberg, focusing on advancing speech processing for diagnostic assistance and health-related human-machine interactions. The successful candidate will develop, prototype, and evaluate speech-based user interfaces, specifically targeting individuals with dementia. Key responsibilities include planning and executing user-centric studies, analyzing interaction and speech data, and documenting/publishing research findings in specialized media and international conferences. This position actively supports the pursuit of a PhD at the Center for Applied Informatics, requiring a Master's degree in a relevant field like Media Informatics or Human-Machine Interaction, along with experience in user-centered design and multimodal interface prototyping. It is an excellent opportunity for researchers interested in interdisciplinary work at the intersection of technology and health sciences.
Required Skills
Education
Master's degree (Media Informatics, Human-Machine Interaction, Human Factors, Software Engineering, or comparable)
Experience
- Completed Master's degree in Media Informatics, Human-Machine Interaction, Human Factors, Software Engineering, or a comparable field
- Experience in user-centered design (Human-Centered Design)
- Experience in conducting User Experience studies or strong interest and willingness to learn complex scientific subjects
- Knowledge in the design and prototypical implementation of multimodal interfaces, especially speech-based interaction systems
Languages
Additional
- Pursuit of a PhD at the Center for Applied Informatics (PZAI) is supported and expected within the scope of the activity. This is a fixed-term contract (initially two years) with the option for extension. Position requires working within an interdisciplinary research consortium.
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