Research assistant - Department of Electrical Engineering and Information Technology - Group of Applied Media Systems - ID 30/2026
Role details
Job location
Tech stack
Requirements
- A compleeded univerity degree (Master or Dipl. (Univ.)) in electrical engineering or information technology
Following competences are desirable:
- good knowledge in:
- Digital Signal Processing
- Audio Signal Processing
- Machine Learning
- Programming in Python and in Linux
- Very good communication skills
- commitment
- enthusiasm
- ability to work independently as well as initiative and ability to work in a team
- Ability to guide and lead students
- Proven English proficiency (C1 level) or a degree from an English-speaking university
Please provide evidence of the qualifications required for the job by certificates and references.
In principle, the job is also suitable for part-time employment. The extent to which a part-time request can be granted, in particular with regard to the location and scope of part-time work, will be examined on the basis of the needs of the service.
Benefits & conditions
- attractive remuneration according to collective agreement (as per TV-L) incl. granting of a special annual payment
- vacation entitlement of 30 days in the calendar year and additional days off on 24 / 31 December
- family-friendly, flexible working time model
- VBL - pension scheme in the public sector
- wide range of individual training opportunities
- extensive health and sports programs
- respectful working environment at a renowned university
The university stands in the fields of technology, mathematics and natural sciences, business and media for teaching and research at the highest level. It attaches particular importance to innovativ teaching and interdisciplinary. It identifies with Humboldt's ideals and pursues the vision of a cosmopolitan campus family.
Technische Universität llmenau is holder of the "TOTAL E-Quality" distinction and emphasizes gendered quality.
Severely disabled applicants with essentially identical professional suitability will be preferentially selected.