Research Associate for the Project "Crossmodal Human-AI Collaboration for Selective Hearing Assistance

Institution
Faculty of Mathematics, Informatics and Natural Sciences, Department of Informatics, Human-Computer Interaction

Salary level
EGR. 13 TV-L

Start date
as soon as possible, fixed until This is a fixed-term contract in accordance with Section 2 of the academic fixed-term labor contract act [Wissenschaftszeitvertragsgesetz, WissZeitVG]).

Application deadline

Scope of work
full-time position suitable for part-time

Your responsibilities

Duties 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 profile

A 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 techniques
• very good English skills
• interest in interdisciplinary teamwork
• independence and self-motivation
• adaptability and flexibility
• perseverance and resilience in facing challenges

Experience in at least one of the following research fields:

• Human-Computer Interaction
• Artificial Intelligence and Machine Learning
• Statistical Signal processing

For the implementation, very good programming skills as well as the following additional technical skills would be preferable:

• Python and Pytorch
• Unity3D, Unreal or similar engines
• smart 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 offer

• Reliable remuneration based on wage agreements
• Continuing education opportunities
• University pensions
• Attractive location
• Flexible working hours
• Work-life balance opportunities
• Health management, EGYM Wellpass
• Educational leave
• 30 days of vacation per annum

Universität 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 applying

Contact

Prof. Dr. Frank Steinicke

frank.-

Timo Gerkmann

timo.-

Reference number

363

Location

Vogt-Kölln-Straße 30

22527 Hamburg

Zu Google Maps

Application deadline

Use only the online application form to submit your application with the following documents:

• cover letter
• CV
• copies of degree certificate(s)
• transcript of records of bachelor and master programs

If you experience technical problems, send an email to -

More information on data protection in selection procedures.

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