Research Associate (m/f/d), EG 13 TV-H - in the Department of Intelligent Embedded Systems

The position is limited for 13 months according to the duration of the DigiWerk project (qualification position according to § 65 HHG in connection with § 2 Abs. 1 Satz 1 WissZeitVG). The possibility of doctoral studies is given. An extension of the employment is planned.

The Department of Intelligent Embedded Systems (IES) conducts research in the area of foundations and applications of methods of data analysis, machine learning (e.g., deep learning), and artificial intelligence. Focal points in basic research are, for example, self-learning and self-organizing systems, methods of collaborative and active learning, methods of transfer learning, or techniques for real-time analysis of time series. The IES department currently has about 12 employees working in the above-mentioned areas.

In the project "DigiWerk: Digitization in Materials Engineering", the focus is on machine learning methods for the creation of digital twins of components in the field of 3D metal printing.

Tasks:

Scientific collaboration in the above mentioned project. Within the DigiWerk project we are looking for reinforcement for our research team in the following research area:

• Development and investigation of machine learning techniques (esp. image processing).
• Participation in teaching to the extent of 4 semester hours per week
   

In addition, we expect participation in other research tasks of the department or in tasks of university self-administration.

Requirements:

• Academic university degree in a relevant subject such as computer science, industrial engineering, mathematics, mechanical engineering or similar, completed with very good results.
• Independent and goal-oriented working style and enjoyment of scientific work.
• Experience in the application of machine learning methods (ideally already in the mentioned fields).
• Very good knowledge of programming, e.g. in Python,
• A structured way of working that allows you to work in a team.
• Curiosity for challenges in the field of machine learning / AI.
• Very good knowledge of German and English, both written and spoken.

Of advantage are

• Experience in scientific publishing.

Offer:

• Work in a diverse team consisting of basic researchers* and users*.
• Summer schools and various continuing education programs.
• Use of our own large compute cluster with graphics cards.
• Development of new methods that are used in practical applications.

If you have any questions, please contact Prof. Dr. Bernhard Sick, Tel.: 0561-804-6025 , E-Mail: bsick[at]uni-kassel[dot]de,https://www.uni-kassel.de/eecs/fachgebiete/ies/startseite.html.

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In terms of equal opportunities, the University of Kassel strives to offer women and men the same development opportunities and to counteract existing disadvantages. The aim is to significantly increase the proportion of women in research and teaching. Qualified women are therefore expressly encouraged to apply. Severely disabled applicants will be given preference if they are equally qualified and qualified. Full-time positions are generally divisible. Please submit only copies of your application documents (no folders), as these cannot be returned after the selection process has been completed; they will be destroyed in compliance with data protection regulations. Applications with informative documents should be sent to the President of the University of Kassel, 34109 Kassel or bewerbungen[at]uni-kassel[dot]de, indicating the reference number in the subject line, and preferably also in electronic form.