At Helmut Schmidt University / University of the Federal Armed Forces Hamburg (HSU/UniBw H), Faculty of Eectrical Engineering, Chair of Signal Processing for Medical Applications (Univ.-Prof. Dr.-Ing. Madhu), a position is available at the next possible date of a

for a limited period of 2 years.

The professorship was recently established and covers a broad spectrum of research into the development and support of intelligent, interpretable assistance systems in healthcare. The thematic focus of the professorship is divided into the following three pillars:

• Algorithms for audio and speech enhancement in communication and assistance systems;
• Multimodal signal analysis and modelling for diagnostic and therapeutic applications, including sensor and information fusion, such as the integration of EEG and EMG signals for brain-computer interfaces (BCI), and audiovisual generative models for enhancement, simplification and summarisation;
• Analytics and representation learning as a methodological foundation for interpretable Artificial Intelligence (AI) and Machine Learning (ML), enabling the transparent and application-specific adaptation of computational models

• Independent research activities on the following topics:

Combinations of generative and predictive models for speech enhancement; the use of spatial information from compact microphone arrays in combination with video to improve (acoustically heavily) noisy audio signals; scaling the developed models for low-latency applications and for inference on edge devices; incorporation of a priori information (e.g. via additional sensors, domain knowledge, etc.) to create improved and interpretable models

• Development of prototypes and demonstrator platforms to clearly illustrate the progress achieved at national and international events and on the Internet
• Assistance in teaching amounting to 3.0 trimester hours per week
• Possibility of further academic qualification (e.g. doctorate or habilitation)
• Carrying out general administrative work as well as academic activities in academic self-administration

• A completed university degree (diplom [univ.] or master) in electrical engineering, computer science, biomedical engineering or a related field
• Excellent knowledge of classical and statistical signal processing, as well as expertise in the relevant mathematical methods (linear algebra, analysis, optimisation)

Desirable requirements:

• Knowledge of the English language with a proficiency level corresponding to at least C1 of the Common European Framework of Reference for Languages
• A curious mindset, practical approach to work and the perseverance to solve complex problems
• Experience with real-time systems and programming
• Experience with deep learning frameworks (e.g. PyTorch, Keras)
• A keen interest in scientific work and the ability to teach

• Capital-forming benefits
• Annual bonus payment
• Company pension scheme
• Flexible working hours
• DeutschlandJobTicket with employer subsidy if the necessary requirements are met
• Possibility of claiming a childcare place in a daycare centre close to the campus if the necessary preconditions are met
• You will benefit from targeted personnel development and an extensive range of further training and education opportunities.
• Budget-friendly meals in the campus canteen with three meals a day
• You have the opportunity to participate in workplace health promotion offers (for more information, see: www.hsu-hh.de/bgm/).
• Free parking on the campus grounds
• Possibility of using the Bundeswehr’s own car-sharing service (for more information, go to: www.bwcarsharing.de)