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Fakultät VI - Medizin und Gesundheitswissenschaften

Department für Versorgungsforschung

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Direktor

Prof. Dr. Mark Schweda

Prof. Dr. Lars Schwettmann (Stellvertretung)

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+49 (0)441 798-2772

+49 (0)441 798-5824

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Dipl.Ges.oec. David Saß

+49 (0)441 798-2685

Carmen Pacholke

+49 (0)441 798-2772

+49 (0)441 798-2771

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Carl von Ossietzky Universität Oldenburg
Department für Versorgungsforschung
Fakultät VI - Medizin und Gesundheitswissenschaften
Ammerländer Heerstr. 114-118
26129 Oldenburg

Besucheranschrift

Campus Haarentor, Gebäude V04
Ammerländer Heerstraße 140
26129 Oldenburg

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Hochschullehrende:
Michael Freitag
Mark Schweda
Lars Schwettmann
Nils Strodthoff
Kathrin Boerner (stellvertretend)
Falk Hoffmann (stellvertretend)

Wissenschaftliche MA:
Helge Schnack
Eike Buhr (stellvertretend)
Niklas Ellerich-Groppe (stellvertretend)
Sandra Hellmers (stellvertretend)

MTV:
David Saß

Studierende:
Anna Maria Teodor

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Hearaz Application Form

Welcome

Welcome to the Hearaz Research Training Group - we are delighted that you feel that Hearaz offers unique opportunities to develop an interdisciplinary approach to age-related problems, as we do.

Please take some time to complete the application documents on the following pages. Due to the large number of PhD positions, we can only accept applications submitted via this page.

Good luck for your application!

Personal Data

First Name*

Last Name*

Gender*

male

female

other

Mail*

Mobile*

Address*

Country*

Education

Education

Master's Degree*

Date Master*

Bachelor's Degree

Other Education

Language Skills

English*

A2

B1

B2

C1

C2

First Language

German*

not yet

A1

A2

B1

B2

C1

C2

First Language

Other Languages

Skills

Area of Professional Knowledge

Due to the interdisciplinary approach of the Research Training Group we ask you to add information on your professional knowledge besides your main study subject.

Medicine*

no expericence yet

basic knowledge, e.g. private affected

advanced knowledge, e.g. part of studies

expert knowledge, e.g. primary field of study

Health Sciences/Nursing*

no expericence yet

basic knowledge, e.g. private affected

advanced knowledge, e.g. part of studies

expert knowledge, e.g. primary field of study

Informatics/Data Science*

no expericence yet

basic knowledge, e.g. private affected

advanced knowledge, e.g. part of studies

expert knowledge, e.g. primary field of study

Engineering/Physics*

no expericence yet

basic knowledge, e.g. private affected

advanced knowledge, e.g. part of studies

expert knowledge, e.g. primary field of study

Speech and Audio Signal Processing*

no expericence yet

basic knowledge, e.g. private affected

advanced knowledge, e.g. part of studies

expert knowledge, e.g. primary field of study

Ethics and Social Sciences*

no expericence yet

basic knowledge, e.g. private affected

advanced knowledge, e.g. part of studies

expert knowledge, e.g. primary field of study

Methodological Knowledge

Quantitative Methods*

no expericence yet

basic knowledge, e.g. part of studies

advanced knowledge, e.g. used for thesis

expert knowledge, e.g. use of different methods for multiple projects

Specification*

Qualitative Methods*

no expericence yet

basic knowledge, e.g. part of studies

advanced knowledge, e.g. used for thesis

expert knowledge, e.g. use of different methods for multiple projects

Specification*

Programming*

no expericence yet

basic knowledge, e.g. part of studies

advanced knowledge, e.g. used for thesis

expert knowledge, e.g. use of different methods for multiple projects

Specification*

Preferences

Please let us know which projects within the Hearaz Research Training Group fit to your research interests.

1st Choice*

P1 Show me your ear and I'll tell you how you're doing: Ear-level Biosensor technology and its application for networked technical assistance systems (Kollmeier / Wolf-Ostermann)

P2 EEG analysis for the assessment of auditory attention during hearing (Li / Radeloff)

P3 Detection of dysphagia and aspiration using hearing aid sensors (Radeloff / Schultz)

K1 Talk to me - the hearing aid as an analysis tool: assessment of cognitive resources through incidental speech analysis (Schultz / Zieschang)

K2 Simply participate - effects of networked assistance on social and cognitive health of care-dependent people (Wolf-Ostermann / Schweda)

K3 Networked assistance and value pluralism: User perspectives of technical assistance systems in the context of cognitive impairments (Schweda / Hein)

M1 Iterative model refinement and calibration through the fusion of data from ambient and near-ear sensors (Hein / Zieschang)

M2 Sensor technology close to the ear as a new approach diagnosing and treating Parkinson's disease (Witt / Hein)

M3 Detection of critical situations in elderly people at risk of falling (Zieschang / Kollmeier)

M4 Approaches to participatory technology development and health services research for the development of technical assistance systems (Brütt / Witt)

2nd Choice*

P1 Show me your ear and I'll tell you how you're doing: Ear-level Biosensor technology and its application for networked technical assistance systems (Kollmeier / Wolf-Ostermann)

P2 EEG analysis for the assessment of auditory attention during hearing (Li / Radeloff)

P3 Detection of dysphagia and aspiration using hearing aid sensors (Radeloff / Schultz)

K1 Talk to me - the hearing aid as an analysis tool: assessment of cognitive resources through incidental speech analysis (Schultz / Zieschang)

K2 Simply participate - effects of networked assistance on social and cognitive health of care-dependent people (Wolf-Ostermann / Schweda)

K3 Networked assistance and value pluralism: User perspectives of technical assistance systems in the context of cognitive impairments (Schweda / Hein)

M1 Iterative model refinement and calibration through the fusion of data from ambient and near-ear sensors (Hein / Zieschang)

M2 Sensor technology close to the ear as a new approach diagnosing and treating Parkinson's disease (Witt / Hein)

M3 Detection of critical situations in elderly people at risk of falling (Zieschang / Kollmeier)

M4 Approaches to participatory technology development and health services research for the development of technical assistance systems (Brütt / Witt)

3rd Choice

P1 Show me your ear and I'll tell you how you're doing: Ear-level Biosensor technology and its application for networked technical assistance systems (Kollmeier / Wolf-Ostermann)

P2 EEG analysis for the assessment of auditory attention during hearing (Li / Radeloff)

P3 Detection of dysphagia and aspiration using hearing aid sensors (Radeloff / Schultz)

K1 Talk to me - the hearing aid as an analysis tool: assessment of cognitive resources through incidental speech analysis (Schultz / Zieschang)

K2 Simply participate - effects of networked assistance on social and cognitive health of care-dependent people (Wolf-Ostermann / Schweda)

K3 Networked assistance and value pluralism: User perspectives of technical assistance systems in the context of cognitive impairments (Schweda / Hein)

M1 Iterative model refinement and calibration through the fusion of data from ambient and near-ear sensors (Hein / Zieschang)

M2 Sensor technology close to the ear as a new approach diagnosing and treating Parkinson's disease (Witt / Hein)

M3 Detection of critical situations in elderly people at risk of falling (Zieschang / Kollmeier)

M4 Approaches to participatory technology development and health services research for the development of technical assistance systems (Brütt / Witt)

Other Projects*

I am not interested in any other project.

I think most of the projects are exciting and my choice does not exclude other projects.

Documents to Attach

Please use the PDF-format, max. 2 MB per file

Motivation Statement*

CV*

Certificates*

Final Questions

Comments

Earliest Entry Date*

How did you hear about Hearaz?

Submit application *

Bitte dieses Feld NICHT ausfüllen!

(Stand: 27.05.2025) | Kurz-URL:Shortlink: https://uol.de/p107323

Anschrift

Carl von Ossietzky Universität Oldenburg
Ammerländer Heerstraße 114-118
26129 Oldenburg
Tel. +49-(0)441-798-0

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