Research Assistant - Embedded Systems (Project FACE)

Area: Faculty IV - Faculty of Science and Technology | Scope of employment: Full time | Duration of employment: terminated |

We are an interdisciplinary and open-minded university with currently around 14,000 students and a range of subjects ranging from the humanities, social and economic sciences to natural, engineering and life sciences. With over 2,000 employees, we are among the largest employers in the region and offer a unique environment for teaching, research and further education. We are looking for: In the Faculty IV - Faculty of Science and Technology, ETI, we are looking for a scientific/n middle worker on 01.08.2025 at the following conditions:

• 100% = 39.83 hours
• Pay group 13 TV-L
• limited until 31.12.2026

Your tasks:

• Participation in the third-party funding project "FACE"
• Development and optimization of high-precision algorithms for AI-based analysis of EKG signal profiles e.g. from the field of machine learning, heuristic methods or data analytics
• Scientific evaluation of specific performance indicators (e.g. prediction accuracy) based on developed methods and results
• Patient care:internal studies and contact with doctors
• Implementation of methods in the field of cloud computing for distributed collection and analysis of vital data
• Publication in international journals and conference meetings
• Participation in the planning, implementation and acquisition of medical data science research projects

Your profile:

• Academic degree (master or comparable) in Medical Data Science and Medical information
• Knowledge in the application and implementation of models of machine learning in the medical context for the processing and analysis of medical vital data, detectable by lectures and/or project experiences. Experience with EKG data is desired
• Experiences with and knowledge of methods in the field of cloud computing for the distributed collection and analysis of vital data - here specifically methods of federal learning
• Knowledge in the field of medical study design, expert:internal interviews, qualitative data analysis and tools for evaluation in this field (e.g. MAXQDA)
• Programming experience at least in Python and another language (C++, C#, Java)
• Very good English skills and outstanding German skills (C2 level)

Our offer:

• Promoting your own scientific or artistic qualification according to the Science Time Contract Act (e.g. Promotion)
• Various possibilities to take responsibility and make a visible contribution in the context of research and teaching
• A modern understanding of leadership and cooperation
• Good reconciliation of work and private life, for example through flexible working time and place of work, as well as support in childcare
• Extensive personnel development programme
• Health management with a wide range of prevention and consulting services

We look forward to your application up to 10.06.2025. Please apply exclusively through our job portal (https://jobs.uni-siegen.de). We cannot take into account applications in paper form or by e-mail.

Your contact person:

Prof. Dr Kai Hahn [for phone number see the original ad] [for e-mail see the original ad]

Opportunity and diversity are promoted and lived at the University of Siegen. (m/w/d); Applicants for women are taken into account in accordance with the law on equality of employment. We also wish to receive applications from people with the most diverse personal, social and cultural backgrounds, people with severe disabilities and those equal.

Joblocations:

57076 Siegen, NORDRHEIN_WESTFALEN, GERMANY

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