Employee (f/m/d) in science, specializing in engineering or computer science
Organizational unit
Institute for Automation and Applied Informatics (IAI)
Job description
As part of your work, you will focus on the following tasks:
- You will develop methods for image analysis (classification, segmentation and object tracking) in biology and biomedicine (focus: robust and adaptable deep learning methods incl. model monitoring) as well as for data fusion of image data, time series and metadata
- Implementation of the methods in Python and integration into workflows of robot-assisted high-throughput processes
- Application of the developed methods in close cooperation with working groups in the EU project TOXBOX
- Supporting project coordination in the EU project TOXBOX
- Collaboration in the supervision of Bachelor's and Master's theses
- Publication of scientific results in scientific journals and at conferences and meetings
In addition to the scientific work, there is the possibility of a doctorate.
Starting date
15.05.2024
Personal qualification
You have a university degree (Master/ Diploma (University)) in the field of engineering, computer science, bioinformatics, or physics with initial experience in deep learning and in the application to biomedical data. Very good knowledge of the programming language Python and deep learning frameworks such as PyTorch round off your profile.
Entgelt
Salary category 13, depending on the fulfillment of professional and personal requirements.
Contract duration
limited to 3 years
Application up to
05.05.2024
Contact person in line-management
For further information, please contact Prof. Dr. Ralf Mikut, ralf.mikut@kit.edu
Please apply online using the button below for this vacancy number 108/2024.
Vacancy number: 108/2024
We prefer to balance the number of employees (f/m/d). Therefore we kindly ask female applicants to apply for this job. Recognized severely disabled persons will be preferred if they are equally qualified.Contact
Personnel Support is provided by:
Personalservice (PSE) - Human Resources
Ms Wenz
Phone: +49 721 608-25093,
Hermann-von-Helmholtz-Platz 1, 76344 Eggenstein-Leopoldshafen, Germany