Research Associate for the Project “Crossmodal Human-AI Collaboration for Selective Hearing Assistance (CHAIS)” § 28 Subsection 3 HmbHG

InstitutionFaculty of Mathematics, Informatics and Natural Sciences, Department of Informatics, Human-Computer InteractionSalary levelEGR. 13 TV-LStart dateas soon as possible, fixed until 30.11.2028 (This is a fixed-term contract in accordance with Section 2 of the academic fixed-term labor contract act [Wissenschaftszeitvertragsgesetz, WissZeitVG]).Application deadline04.12.2025Scope of workfull-time position suitable for part-timeYour responsibilitiesDuties include academic services in the project named above. Research associates may also pursue independent research and further academic qualifications.The project funded by the Federal Ministry of Research, Technology and Space (BMFTR) aims to develop neuro-inspired and cross-modal AI-based speech signal processing algorithms in an interdisciplinary collaboration between core disciplines of AI (i.e., speech and multimodal signal processing, and human-AI communication) and neuroscience (i.e., neuroinformatics and computational neuroscience). Multiple experts from AI and neuroscience will work on this project. For this position, the tasks include developing neuro-inspired, cross-modal AI-based speech signal processing algorithms for the real-time cocktail party problem, designing a prototypical smart glasses application to assist users with selective listening tasks in a human-centered design process and improving its usability, user experience, and performance. Further tasks include support in coordinating and organizing project-related work, cooperation with project partners, communication with the relevant administrative bodies, writing project reports and other publications.Your profileA university degree in a relevant field.Preferably in the subjects Human-Computer Interaction, Signal Processing, Computer Science, Data Science, or Electrical Engineering.proficiency in relevant research methods and techniquesvery good English skillsinterest in interdisciplinary teamworkindependence and self-motivationadaptability and flexibilityperseverance and resilience in facing challengesExperience in at least one of the following research fields:Human-Computer InteractionArtificial Intelligence and Machine LearningStatistical Signal processingFor the implementation, very good programming skills as well as the following additional technical skills would be preferable:Python and PytorchUnity3D, Unreal or similar enginessmart glasses or other devices (e.g., audio-visual XR devices and/or controllers)object-oriented programming (e.g., C#, C ++ or Java)statistics (e.g. R or SPSS)We offerReliable remuneration based on wage agreementsContinuing education opportunitiesUniversity pensionsAttractive locationFlexible working hoursWork-life balance opportunitiesHealth management, EGYM WellpassEducational leave30 days of vacation per annumUniversität Hamburg—University of Excellence is one of the strongest research educational institutions in Germany. Our work in research, teaching, educational and knowledge exchange activities is fostering the next generation of responsible global citizens ready to tackle the global challenges facing us. Our guiding principle “Innovating and Cooperating for a Sustainable Future in a digital age” drives collaboration with academic and nonacademic partner institutions in the Hamburg Metropolitan Region and around the world. We would like to invite you to be part of our community to work with us in creating sustainable and digital change for a dynamic and pluralist society.The University of Hamburg is committed to equity. Diversity enriches our university life, whether in our studies, research, teaching, education, or workplace. We therefore welcome all applications, regardless of gender, gender identity, sexual orientation, ethnic or social background, age, religion or belief, disability, or chronic illness.The University of Hamburg strives to increase the number of women in academia, and encourages qualified female academics to apply.Severely disabled and disabled applicants with the same status will receive preference over equally qualified non-disabled applicants.Instructions for applyingContactProf. Dr. Frank Steinickefrank.steinicke@uni-hamburg.deTimo Gerkmanntimo.gerkmann@uni-hamburg.deReference number363LocationVogt-Kölln-Straße 3022527 HamburgZu Google MapsApplication deadline04.12.2025Use only the online application form to submit your application with the following documents:cover letterCVcopies of degree certificate(s)transcript of records of bachelor and master programsIf you experience technical problems, send an email to bewerbungen@uni-hamburg.de.More information on data protection in selection procedures.PDF Downloadapply