Postdoc (f/m/d) Auditory models and machine learning in the context of neuromorphic computing

Karlstad University; Ilmenau; Vor Ort; EUR 50.000 - 70.000; Vollzeit

Zusammenfassung

A renowned university in Germany is seeking a Postdoc to work on auditory models and machine learning in the context of neuromorphic computing. The successful candidate will analyze human hearing models, integrate them with signal analysis methods, and develop new approaches to enhance hearing aids. A doctorate in relevant fields and strong programming skills are required. This role offers a supportive work environment with attractive remuneration.

Leistungen

Attractive remuneration according to collective agreement (TV-L)

30 days of vacation per year

Family-friendly, flexible working time model

VBL pension scheme

Individual training opportunities

Extensive health and sports programs

Qualifikationen

• In-depth knowledge in areas like auditory modeling and psychoacoustics.
• Very good programming skills in MATLAB, Python, or C++.
• Very good written and spoken English skills.

Aufgaben

• Analyze existing models of human hearing.
• Integrate models with methods of signal analysis.
• Conduct and analyze perception tests.
• Develop new modeling approaches to improve prediction accuracy.

Kenntnisse

Auditory modeling and psychoacoustics

Machine learning and deep learning

Neuromorphic systems

Signal processing for audio and speech

Experimental hearing research

Psychoacoustics

Perception modeling

Programming skills (MATLAB, Python, C++)

Written and spoken English

Ausbildung

Completed university degree (diploma/master's)

Doctorate in audio engineering, electrical engineering, cognitive science or related

Jobbeschreibung

Postdoc (f/m/d) Auditory models and machine learning in the context of neuromorphic computing

In the Department of Mathematics and Natural Sciences in the Group of Theoretical Physics 2 at the Technische Universität Ilmenau (Germany) is a vacancy for a

Postdoc (f/m/d)

Auditory models and machine learning in the context of neuromorphic computing

from 01.12.2025.

The position is part of the NeuroSensEar cooperation project at the Department of Theoretical Physics 2 at the Ilmenau University of Technology, with extended research stays at the Institute of Communications Engineering at RWTH Aachen University.

Over 11% of the EU population is affected by hearing loss, but only 41% use hearing aids due to problems with speech comprehension and device fitting. The aim of the project is to improve acceptance and provision by making hearing aids more powerful and automating their fitting. To this end, neuromorphic approaches and principles of biological information processing are being integrated into the technology, and interactive outputs are being developed for better speech comprehension. This should enable those affected to largely regain their hearing ability. NeuroSensEar is funded by the Carl Zeiss Foundation and brings together TU Ilmenau, the Universities of Jena, Ulm, and Kiel, Fraunhofer IDMT, IMMS, and RWTH Aachen.

We investigate instabilities in lasers caused by optical feedback, injection, or mode coupling, with a focus on charge carrier dynamics in nanostructures. We also investigate how electro-optical systems can be used for hardware-based machine learning. Methods: coupled differential equations, nonlinear dynamics, bifurcation analysis. The focus is on reservoir computing as a hardware-friendly learning method. As part of NeuroSensEar, we are investigating how micro-mechanical resonators with nonlinear dynamics can improve hearing aids as “InSensor reservoir computers.”

Institute for Communications Engineering, RWTH Aachen University (more information ):

We analyze audiovisual systems along the entire transmission chain to improve quality and efficiency. We take into account signal quality, perception, user behavior, cognitive performance, Quality of Experience, and resource consumption. Our interdisciplinary research combines engineering, computer science, human-machine interaction, and psychology. We work according to open science principles and cooperate closely with international partners and spin-offs.

Your job tasks includes the following responsibilities:

• Analysis of existing models of human hearing
• Comparison of biologically inspired models with machine learning and neuromorphic approaches
• Integration of these models with methods of signal analysis and evaluation of audio and speech quality as well as speech intelligibility
• Evaluation of performance in auditory tasks (e.g., localization, object and speaker recognition)
• Use and extension of existing frameworks such as Auditory Modeling Toolbox, OpenMHA, and TWO!EARS
• Conducting and analyzing perception tests
• Development of new modeling approaches to improve prediction accuracy
• Automated evaluation of sensor systems with regard to perception and signal quality

Your profile

For being part of the selection process is needed:

• Completed university degree (diploma/master's) and doctorate in audio engineering, electrical engineering, cognitive science, computational neuroscience, acoustics, signal processing, or related disciplines
• In-depth knowledge in one or more of the following areas: Auditory modeling and psychoacoustics, machine learning and deep learning, neuromorphic systems, signal processing for audio and speech, experimental hearing research, psychoacoustics, perception modeling
• Very good programming skills (e.g., MATLAB, Python, C++)
• Very good written and spoken English skills

Following competences are desirable:

• Experience in conducting, evaluating, and modeling perception tests
• Independent, structured way of working and ability to work in a team
• Written and spoken German language skills

Please provide evidence of the qualifications required for the job by certificates and references.

The job is not suitable for part-time employment.

What we offer you:

• attractive remuneration according to collective agreement (as per TV-L) incl. granting of a special annual payment
• vacation entitlement of 30 days in the calendar year and additional days off on 24 / 31 December
• family-friendly, flexible working time model
• VBL - pension scheme in the public sector
• wide range of individual training opportunities
• extensive health and sports programs
• respectful working environment at a renowned university

The university stands in the fields of technology, mathematics and natural sciences, business and media for teaching and research at the highest level. It attaches particular importance to innovativ teaching and interdisciplinary. It identifies with Humboldt's ideals and pursues the vision of a cosmopolitan campus family.

Technische Universität llmenau is holder of the „TOTAL E-Quality“ distinction and emphasizes gendered quality.

Severely disabled applicants with essentially identical professional suitability will be preferentially selected.

For further information please contact Prof. Dr. Kathy Lüdge, Phone [phone] or Prof. Dr. Alexander Raake Phone [phone].

Job details

Title

Postdoc (f/m/d) Auditory models and machine learning in the context of neuromorphic computing

2025-10-19 23:59 (Europe/Berlin)
2025-10-19 23:59 (CET)

TU Ilmenau stands for teaching and research at the highest level in the fields of technology, mathematics and natural sciences, business and media.