Helmut-Schmidt-Universität | Germany | 22xxx Hamburg | Temporary contract | Part time - flexible / Full time | Published since: 02.07.2026 on stepstone.de
Research Assistant at the Faculty of Electrical Engineering, Chair of Signal Processing for Medical Applications (m/f/d)
At the Helmut-Schmidt-Universität / Universität der Bundeswehr Hamburg (HSU / UniBw H), Faculty of Electrical Engineering, Chair of Signal Processing for Medical Applications (Mr. Univ.-Prof. Dr.-Ing. Madhu), the position of one/one Research assistant /
(Acts 13 of the public service collective agreement (TVöD); 39 hours a week) a period of two years. The professorship has recently been set up and has a wide range of research on the development and support of intelligent, interpretative health and telecommunications assistance systems. The thematic focus of the professorship is divided into the following three pillars: Algorithms for audio and speech improvement in communication and assistance systems; Multimodal signal analysis and modelling for diagnostic and therapeutic applications, including sensor and information fusion, e.g. B. the integration of exG signals (e.g. EEG, EMG) for brain-computer interfaces (BCI), audio-visual generative models for improvement, simplification and consolidation; Analysis and representation learning as a methodological basis for interpretable artificial intelligence (AI) as well as machine learning (ML), which enables a transparente and application-specific adaptation of computational models
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Your tasks • Your profile • What we offer
At the Helmut-Schmidt-Universität / Universität der Bundeswehr Hamburg (HSU / UniBw H), Faculty of Electrical Engineering, Chair of Signal Processing for Medical Applications (Mr. Univ.-Prof. Dr.-Ing. Madhu), the position of one/one Research assistant /
(Acts 13 of the public service collective agreement (TVöD); 39 hours a week) a period of two years. The professorship has recently been set up and has a wide range of research on the development and support of intelligent, interpretative health and telecommunications assistance systems. The thematic focus of the professorship is divided into the following three pillars: Algorithms for audio and speech improvement in communication and assistance systems; Multimodal signal analysis and modelling for diagnostic and therapeutic applications, including sensor and information fusion, e.g. B. the integration of exG signals (e.g. EEG, EMG) for brain-computer interfaces (BCI), audio-visual generative models for improvement, simplification and consolidation; Analysis and representation learning as a methodological basis for interpretable artificial intelligence (AI) as well as machine learning (ML), which enables a transparente and application-specific adaptation of computational models
Independent research on the following topics: combinations of generic and predictive models for speech improvement, use of spatial information of compact microphone arrays in combination with the video modality for improving (acoustically strong) noised audio signals; scaling of developed models for low latency applications and for inference on devices at the ‘Edge’; integration of a-priori information (e.g. by additional sensors, domain knowledge etc.) for improved and interpretable models Development of prototypes and demonstrator platforms to illustrate the progress achieved on national and international institutions and on the Internet Participation in teaching in the scope of 3,0 trimester week hours Possibility of further scientific qualification (e.g. doctoral or habilitation) Management of general management and academic activities in academic self-government
An academic degree (Diplom [univ.] or Master) of the Department of Electrical Engineering, Computer Science, Biomedical Technology or a related subject Very good knowledge of classical and statistical signal processing and competence in the corresponding mathematical methods (linear algebra, analysis, optimization) In addition, desired: Foreign language knowledge in English with a status which corresponds at least to the language level C1 of the common European reference framework A curious way of thinking, practical work and the endurance of solving complex problems Experience with real-time systems and programming Experience with deep learning frameworks (e.g. PyTorch, Keras) Extensive interest in scientific work as well as the ability to teach
Assets Special payment Occupational pension Flexible working hours GermanyJobTicket with employer grant if necessary Possibility of using a childcare centre in a children's daycare centre close to the campus if necessary You benefit from targeted personnel development and a comprehensive range of continuing and training. Cost-effective meals in the Campus-Mensa with three meals per day You will have the opportunity to participate in offers of company health promotion (see: hsu-hh.de/bgm/). Free parking on campus grounds Possibility to use the Bundeswehr's own carsharing (You can find here: bwcarsharing.de) The employment relationship is governed by the provisions of the public service collective agreement (TVöD) in conjunction with the Science-time Contract Act (WissZeitVG). The activities correspond to the remuneration group 13. The grouping up to the pay group 13 TVöD is carried out in accordance with Section 12 TVöD in the view of the activities actually not only to be carried out in advance and the fulfilment of the personal or collective requirements (activity characteristics). Parttime employment is possible. The Bundeswehr promotes the professional equality of women and men and therefore welcomes particularly women's applications. In accordance with the Social Code IX and the Equal Opportunities Act, we strongly welcome applications for disabled people; In view of the fulfilment of the tendering arrangements, individual consideration is given. The Bundeswehr supports the objectives of the National Integration Plan and welcomes applications for people with migration background. .
Location
![]() | Helmut-Schmidt-Universität | |
| 22043 Hamburg | ||
| Germany |
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