How do I apply for the Student Assistant – Wireless Signal Processing (m/f/d) position at Barkhausen Institut and track my application?

We provide a direct link to the official application portal. You can apply directly here . Additionally, you can easily track this and other applications by clicking the bookmark icon to save it to your YGI Kanban board .

What are the working arrangements and expected duration for the Student Assistant – Wireless Signal Processing (m/f/d) role?

This position is a part-time, structured as a not disclosed role, with an expected duration of 3 months.

What educational background or degree level is required for the Student Assistant – Wireless Signal Processing (m/f/d) at Barkhausen Institut?

Candidates are generally expected to be holding or pursuing the following degree levels: Bachelor.

Does Barkhausen Institut provide visa sponsorship or assistance for international applicants?

Regarding visa assistance and sponsorship for this role, the official status is currently listed as: Not disclosed.

Student Assistant – Wireless Signal Processing (m/f/d)

Barkhausen Institut

Found 2 months ago

Location

Dresden, Germany

Duration (Months)

3 Months

Time

Part-time

Work Mode

Not disclosed

Salary

Not disclosed

Visa Help

Not disclosed

Last Verified

1 month ago

Education

Bachelor

Skills & Qualifications

Technical Skills

digital signal processing techniques
Python
object-oriented programming

Soft Skills

communication skills
writing skills

Job Description

The SHK will investigate state of the art simulation and digital signal processing techniques for the physical layer of joint communication and sensing wireless systems. They will configure and extend Barkhausen Institut’s software suite HermesPy to reproduce and verify published signal processing research.

Requirements

Study of electrical engineering, computer science or comparable
Good communication and writing skills in English
Knowledge of high-level object-oriented programming, preferably Python
Basic knowledge of digital signal processing techniques

Software Engineering

Software QA & Testing

Languages

English

Apply Now

6Open Positions