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Offer 234 out of 486 from 16/01/23, 13:19

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Tech­ni­sche Uni­ver­sität Ber­lin - Faculty IV - Qua­lity and Usa­bi­lity Lab

Research assistant - salary grade E 13 TV-L Berliner Hochschulen

under the reserve that funds are granted; part-time employment may be possible

The majority of systems and services that are provided by computer science, electrical engineering and information technology finally are oriented on the needs of their human users. To build successfully build such systems and services it essential to investigate and understand users and their behavior when interacting with technology. From this, design principles for human-machine interfaces can be derived and requirements for the underlying technologies can be defined.

The Quality and Usability Lab is part of TU Berlin’s Faculty IV and deals with the design and evaluation of human-machine interaction, in which aspects of human perception, technical systems and the design of interaction are the subject of our research. We focus on self-determined work in an interdisciplinary and international team; for this we offer open and flexible working conditions that promote scientific and personal exchange and are a prerequisite for excellent results.

Working field:

The research tasks of the position are linked to the assessment of the quality of speech services using a crowdsourcing approach. The position is funded by the Deutsche Forschungsgemeinschaft, DFG. The aim of the research is to analyze how crowdsourcing-based listening-only and conversational speech quality evaluation experiments can be set up in order to provide valid and reliable results, and how the characteristics of the test participants, the test environment and the playback system can be assessed in online tests. It will be assessed which differences are to be expected between crowdsourcing and laboratory-based speech quality evaluation, and how these differences influence the development of instrumental speech quality prediction models. The results are expected to influence methods for speech quality assessment in crowdsourcing, as they are summarized in ITU-T Recommendation P.808.

The specific tasks include:
  • Implementing and extending web platforms that are created for conducting and managing listening-only or conversational experiments (Frontend: HTML/JS/CSS, backend for conversation testing: Node.js / express.js, WebRTC).
  • Conducting subjective listening-only and/or conversation tests in the laboratory and via crowdsourcing; analyzing the results.
  • Recording of source speech signals in both laboratory and large scale crowdsourcing and preparing speech dataset.
  • Enhancing test methods (that we developed for ITU-T Rec. P.808) for screening the participants’ ability, environment and set-up suitability for the speech quality assessment tasks.
  • Processing speech signals collected in a crowdsourcing approach, and applying relevant artificial network degradation conditions (e.g. background noise, clipping, etc.).
  • Benchmarking state-of-the-art instrumental models for predicting speech quality based on their performance on the collected crowdsourcing dataset.
  • Project communication and reporting.
  • Publication and presentation of project and research results in scientific journals, at conferences, at workshops and ITU-T Study Group 12 expert’s meetings. Publication and presentation of project and research results in scientific journals, at conferences, and in workshops as well as standardization meetings of ITU-T.

Professionally experienced employees from our team support you with self-motivated familiarization with the areas of responsibility.

The possibility of a doctorate is given.

Requirements:

  • Successfully completed university degree (Master, Diploma or equivalent) in computer engineering/science, electrical engineering, media informatics, digital media, or information systems (or an equivalent technical background)
  • Deep knowledge, and hands-on experience in one or more general purpose programming languages (recommended is Python)
  • Profound programming skills in front-end (HTML5/CSS3, JS, jQuery, JSON), AND one scripting language for data processing (either MATLAB, Python or R), and ideally backend development skills
  • Knowledge about digital signal processing, beneficial: speech signal processing respectively audio signal processing and acoustics
  • Knowledge about empirical subjective tests and statistical data analysis is appreciated
  • Language skills: English fluent in writing and speaking (B2 level); good command of German desirable; willingness to learn German is expected
  • Joy of working in an interdisciplinary and international environment

How to apply:

Please send the following documents, bundled in a single PDF file, to Prof. Dr.-Ing. Sebastian Möller bewerbung@qu.tu-berlin.de:
Letter of application, curriculum vitae, copies of certificates, job references.

By submitting your application via email you consent to having your data electronically processed and saved. Please note that we do not provide a guaranty for the protection of your personal data when submitted as unprotected file. Please find our data protection notice acc. DSGVO (General Data Protection Regulation) at the TU staff department homepage: https://www.abt2-t.tu-berlin.de/menue/themen_a_z/datenschutzerklaerung/ or quick access 214041.

To ensure equal opportunities between women and men, applications by women with the required qualifications are explicitly desired. Qualified individuals with disabilities will be favored. The TU Berlin values the diversity of its members and is committed to the goals of equal opportunities.

Technische Universität Berlin - Die Präsidentin - Fakultät IV, Quality and Usability Lab, Prof. Dr.-Ing. Sebastian Möller, Sekr. TEL 18, Ernst-Reuter-Platz 7, 10587 Berlin