Employee (f/m/d) in science, specializing in engineering or computer science

Entry from the 28.02.2024
Position number 108/2024
Job vacancy to be filled from: 04.04.2024

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.

Persönliche Qualifikation

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.

Organisationseinheit

Institut für Automation und angewandte Informatik (IAI)
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


Zur Bewerbung Zur offiziellen Anzeige

Job type/category
  • Fixed-term position
Favored career stage
  • Job experience > 2 years
Location/region
  • Karlsruhe city, Karlsruhe region
Sector
  • Other
Language at workplace
  • German
Type of company
  • Scientific institution


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