Research assistant (m/f/d), EG 13 TV-H - in the field of digital technology

The position is initially limited to 2 years (qualification position according to § 65 HHG in conjunction with § 2 para. 1 WissZeitVG). The possibility of a doctorate is given.

The position is part of a LOEWE project at the Department of Digital Technology.

Tasks within the LOEWE project:

• Working on a research project in the field of digital image processing and machine learning,
• Development of concrete algorithms from classical image processing as well as design and training of artificial neural networks,
• Implementation of the results on system-on-chips consisting of CPUs and field-programmable devices (FPGAs),
• Supervision of corresponding, project-sponsored student projects and events,
• the pursuit of an additional scientific qualification (e.g. doctorate) is expected.

Requirements:

• An excellent scientific university degree in electrical engineering or computer science.
• Very good programming skills in a relevant programming language (e.g. Python or C/C++) as well as programming experience,
• Knowledge or experience in at least two of the areas of digital image processing, machine learning with neural networks, design of hardware circuits with VHDL or Verilog,
• Knowledge of Matlab is an advantage, but not necessary,
• Ability to think analytically and work thoroughly and as part of a team.

Very good German and good English skills are also required.

We offer an interesting job in a committed team.

If you have any questions, please contact Prof. Dr.-Ing. Peter Zipf, Tel.: 0561-804-6379, E-Mail: zipf[at]uni-kassel[dot]de.

The protection of your personal data is important to us, which is why we will handle your personal data with care. If you provide us with your data, you authorize us to store and use it in accordance with the Hessian Data Protection and Freedom of Information Act. You can object to this at any time. Your personal data will then be deleted. Information in accordance with Art. 13 GDPR for the application procedure at the University of Kassel can be found at www.uni-kassel.de/go/ausschreibung-datenschutz

In the interests 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 with equal aptitude and qualifications will be given preference. Full-time positions are generally divisible. Please only send us copies of your application documents (no folders), as these cannot be returned after the selection process has been completed; they will be destroyed in accordance 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, stating the reference number in the subject line, also in electronic form.