Electrical Engineer (m/w/d)

About the role

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 Research Assistant (m/f/d) (salary group 13 TVöD [Collective Agreement for the Public Service]; 39 hours per week) 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: 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: bwcarsharing.de) The employment is based on the TVöD in conjunction with the Wissenschaftszeitvertragsgesetz (German Act on Fixed-Term Scientific Contracts). In principle, the activities correspond to pay group 13 (E13). Classification up to pay group 13 of the TVöD s...

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