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Offer 402 out of 549 from 16/01/23, 13:17

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Tech­ni­sche Uni­ver­sität Ber­lin - Faculty IV - Institute of Software Engineering and Theoretical Computer Science / 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 directed to their human users. To successfully build such systems and services, it is 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 and communication, 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 position is open to do research in the field of speech signals analysis, and the assessment of speech quality in different (mobile and fixed) networks. Therefore, speech signals are to be analyzed in listening-only as well as conversational situations in order to get indications or the perceived quality. Based on these analysis, signal-based and parametric models for the estimation of speech quality can be extended and integrated. One focus of the present research may be the evaluation of new speech codecs in different network scenarios. The models are to be validated based on subjective listening and conversation tests. For this purpose, methods of crowdsourcing can be applied, i. e. real users should carry out the data collection and/or evaluation via an online platform. Scientifically interesting is the comparison of such crowdsourced data to those that can be obtained under laboratory conditions.

The outcomes of the research should be used to support the preparation of a new project application, and may also become a foundation for a later PhD thesis. A subsequent position as a research assistant from the project funds would be possible if the funds were approved.

The concrete tasks include, among other things:
  • Maintaining and further developing a platform to conduct web-based voice calls
  • Conducting subjective conversation tests in the laboratory and via crowdsourcing
  • Analysis of speech signals
  • Creating and evaluating models for predicting quality aspects using different algorithms (including traditional signal processing methods and state-of-the-art DNNs)
  • Project communication and reporting
  • Publication and presentation of project and research results in scientific journals, at conferences, and in workshops

The possibility of a doctorate is given.

Requirements:

  • Successfully completed university degree (Master, Diploma or equivalent) in electrical engineering, computer engineering, computer science, media informatics, media technology, information systems management (or an equivalent technical background)
  • Profound knowledge in digital signal processing, beneficial: speech signal processing or audio signal processing, respectively
  • Good programming skills (e.g. MATLAB or Python) and safe handling of web development tools (e.g. HTML5/CSS3, JS, ideally also backend development skills)
  • Interest in running user studies with test participants to determinate speech quality
  • Language skills: English and German fluent in writing and speaking
  • Knowledge about empirical studies and statistical data analysis is appreciated
  • Interest in 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