Job Offerings
Job vacancies for students
SHK-Position: Programming of Wago PLC (SHK)
Begin: as of October 2021
Scope: 5 to 19h/week (or by arrangement)
Tasks, requirements, and further information are available in detailed task description.
ContactDr. rer. nat. Valentin Khaydarov
valentin.khaydarov@tu-dresden.de
Support for development of Interface/Middleware for an AI-based System (SHK)
Begin: as of now
Scope: 5 to 15h/week
Tasks, requirements, and further information are available in detailed task description.
Contact
M.Sc., M.Tech Zohra Charania
zohra.charania@tu-dresden.de
Support for the courses Mikrorechentechnik 1/2 (SHK)
Begin: as of October 2021
Scope: 5 to 15h/week
Tasks, requirements, and further information are available in detailed task description.
Contact
M.Sc., M.Tech Zohra Charania
zohra.charania@tu-dresden.de
Support in the creation of digital learning modules (SHK)
Begin: as of now
Scope: 10h/week (or by arrangement)
Tasks, requirements and further informations are available at detailed task description.
Contact
Dipl.-Ing. Jonathan Mädler
jonathan.maedler@tu-dresden.de
Position in the field of water electrolysis (SHK)
Start: as of September 2021
Scope: 5 - 19h/week (or by arrangement)
Tasks, requirements and further informations are available at detailed task description.
Contact
Dipl.-Ing. Julius Lorenz
julius.lorenz@tu-dresden.de
Development of software componentes for computer vision applications in Python
Start: as of now
Scope: flexible
Tasks, requirements and further informationen are available at detailed task description.
Contact person
Dr. rer. nat. Valentin Khaydarov
valentin.khaydarov@tu-dresden.de
Several postions in the field of software development
Start: as of now
Scope: flexible
Tasks, requirements and further informationen are available at detailed task description.
Contact
Dipl.-Ing. Julius Lorenz
julius.lorenz@tu-dresden.de
Several SHK-Positions on the Topic Artificial Intelligence in the Process Industry
Start: as of now
Scope: flexible
Your tasks
- Carrying out Literature Survery
- Support in the data analysis and data preparation
- Development, implementation, validation and evaluation of data-driven models
- Several positions are available in topics such as neural networks, surrogate modeling, machine learning, time series, and computer vision
We expect
- Studies in process engineering and mechanical engineering are desirable but not required
- Basic knowledge of programming (Python preferred)
- Interest in artificial intelligence, machine learning and data science
- Availability 1 year
- Independent and result-oriented way of working as well as strong analytical skills
Contact person
Dr. rer. nat. Valentin Khaydarov
valentin.khaydarov@tu-dresden.de
Job vacancies for graduates
Open positions can be found on the webpage with Job offers of the Faculty of Electrical and Computer Engineering.