Job Description

At Helmut Schmidt University / University of the Federal Armed Forces Hamburg (HSU/UniBw H), Faculty of electrical engineering, Chair of Signal Processing for Medical Applications (Univ.-Prof. Dr.-Ing. Madhu), two positions are 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 exG signals (e.g. EEG, EMG) for brain-computer interfaces (BCI); Analytics and representation learning as a methodological basis for interpretable AI, enabling transparent and application-specific adaptation of computational models.
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Responsibilities

Independent research activities on the following topics: Combinations of generative and predictive models for speech enhancement, use of spatial information from compact microphone arrays in combination with video modality to improve (acoustically) noisy audio signals; Scaling of the developed models for low-latency applications and for inference on devices at the ‘edge’; Integration of a priori information (e.g. through additional sensors, domain knowledge, etc.) for 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 to the extent of basically 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
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Qualification requirements

A completed university degree (Diplom [univ.] or Master) in electrical engineering, computer science, biomedical engineering or a related field Good knowledge of statistical signal processing and mathematics
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Desirable requirements

Knowledge of foreign language in English with a proficiency level that corre-sponds at least to the language level 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
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Features of this position

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).

For questions related to scientific or technical aspects, please contact Univ.-Prof. Dr.-Ing. Madhu; Tel.: 040/6541-2761 or by e-mail: madhun@hsu.hamburg.



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 shall be made in accordance with § 12 of the TVöD with regard to the activities to be performed on a more than temporary basis and the fulfilment of the personal or collective agreement requirements (job characteristics).



Part-time employment is possible.



The Federal Armed Forces promotes professional equality between women and men and therefore particularly welcomes applications from women. In accordance with the Sozialgesetzbuch IX (Social Code Book IX) and the Disability Equality Act, we expressly welcome applications from severely disabled persons; the ful-filment of the requirements for the advertisement will be considered on an individual basis.



More information about the university and the professorship can be found at: www.hsu-hh.de.



Please send your application with the usual documents exclusively in electronic form (pdf file), quoting the reference number ET-2525, by 12.01.2026 to: personalabteilung@hsu-hh.de.



Note:


Information on data protection in the application process can be found on the website www.hsu-hh.de under the heading "Universität - Karriere - Datenschutzinformationen“. Applications without reference number will not be considered and will be deleted immediately for data protection reasons.

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Daten

Art der Beschäftigung:

Stellenangebot

Befristung:

Befristet

Bereich:

Sonstiges

Einsatzort:

Hamburg, Hamburg

Beginn:

01.04.2026

Wochenstunden:

Vollzeit


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Kontakt

Unternehmen:

Helmut-Schmidt-Universität

Ansprechpartner:

Herr Univ.-Prof. Dr.-Ing. Madhu

E-Mail:

madhun@hsu.hamburg