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ISCApad Archive  »  2022  »  ISCApad #292  »  Jobs  »  (2022-09-02) Research assistant (3), TUBerlin, Germany

ISCApad #292

Wednesday, October 05, 2022 by Chris Wellekens

6-32 (2022-09-02) Research assistant (3), TUBerlin, Germany

Research Assistant for Multimodal Interactive Assistance for the Digital Collection of Patient-Reported Outcome Measures - salary grade E 13 TV-L Berliner Hochschulen

part-time employment may be possible

Hire Date

The start date for the position is planned for December 1st, 2022, with the qualification goal doctorate. It is limited to a duration of 2.5 years and a subsequent ongoing employment is supported if the PhD cannot be finished in the given time.


About Us

Most 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.


Conception and development of an interactive natural language-based dialog system, as part of the project MIA-PROM (Multimodal interactive assistance for the digital collection of Patient-Reported Outcome Measures). The project is in the field of outpatient rehabilitation and requires cooperation with researchers (human-machine interaction, technology-sociology, and healthcare) and the intended users. In the subproject Adaptive Dialog, methods of machine learning are used both for the processing of natural language utterances and for the control and adaptation of dialogs. The range of tasks also includes research on the methods and interaction concepts used in the subproject. The quality and user experience of the created interaction concepts are then evaluated in empirical user studies.


The specific tasks include:

  • Implementation of components of a spoken dialog system, in particular, natural language understanding, dialog management and response generation

  • Communication with project partners on the technical and functional requirements of the dialog system

  • Planning and implementation of user studies

  • Active participation in the conception, implementation, and evaluation of the overall system

  • Publication and presentation of project and research results in scientific journals, at conferences and workshops, as well as in international standardization committees


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


  • Master or diploma in electrical engineering, computer engineering/science, informatics, media informatics, media technology, information systems (or an equivalent technical background)

  • Ability to work independently in a team and good self-organization

  • Good programming skills in Python and their routine use in development environments

  • Previous experience in the field of Natural Language Processing

  • Experience in the use of frameworks for Natural Language Processing (e.g., Rasa NLU, AllenNLP or SparkNLP)

  • Fundamental knowledge of machine learning principles

  • Optional previous knowledge (not required):

    • Experience in the preparation and efficient processing of training data for AI-based systems

    • Experience in the development of chatbots or voice dialogue systems

    • Experience with Transformer-based language models such as BERT or GPT

  • Interest in conducting empirical studies with human participants to determine quality and user experience in human-machine interaction

  • Language skills: German fluent in writing and speaking, English communication secure

  • Desire to work in an interdisciplinary and international environment



Tarifvertrag für den öffentlichen Dienst der Länder (TV-L)” (E13, 100%)


Please send the following documents, bundled in a single PDF file, to
Prof. Dr.-Ing. Sebastian Möller

Letter of application, curriculum vitae, copies of certificates, job references.


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.


Please send copies only. Original documents will not be returned.


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