How do I apply for the Working Student/in (f/m/x) for Master in Electrical Engineering or Computer Science position at German Aerospace Center (DLR) 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 .

Is the internship at German Aerospace Center (DLR) paid and what compensation can candidates expect?

Yes, this is a paid internship opportunity. Exact compensation details are typically finalized during the company interview process.

What are the working arrangements and expected duration for the Working Student/in (f/m/x) for Master in Electrical Engineering or Computer Science role?

This position is a full-time, structured as a not disclosed role, with an expected duration of 2 months.

Does German Aerospace Center (DLR) 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.

Working Student/in (f/m/x) for Master in Electrical Engineering or Computer Science

Q: What educational background or degree level is required for the Working Student/in (f/m/x) for Master in Electrical Engineering or Computer Science at German Aerospace Center (DLR)?

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

German Aerospace Center (DLR)

Found 1 month ago

Location

Oberpfaffenhofen, Germany

Duration (Months)

2 Months

Time

Full-time

Work Mode

Not disclosed

Salary

Remuneration is in accordance with the Collective Agreement for the Public Sector - Federal Government (TVöD-Bund)

Visa Help

Not disclosed

Last Verified

1 month ago

Education

Master

Skills & Qualifications

Technical Skills

federated learning
ML/FL algorithms
programming
information freshness

Soft Skills

Good knowledge
Previous experience
Good programming skills
General knowledge

Job Description

Investigate, by means of simulation, the design and optimization of medium access strategies to efficiently support federated learning for Internet of things applications. The possibility for clients to have heterogeneous or time-varying data-sets will be considered, studying the relevance of concepts related to information freshness and value towards prioritization of uplink transmissions for model updates.

Requirements

Good knowledge of federated learning principles
Previous experience in implementing and testing ML/FL algorithms
Good programming skills are beneficial
General knowledge of information freshness related concepts

Software Engineering

AI/ML/GenAI Engineering

Apply Now

21Open Positions

Open Positions

21Open Positions

Working Student/in (f/m/x) for Master in Electrical Engineering or Computer Science

Education

Skills & Qualifications

Technical Skills

Soft Skills

Job Description

Requirements

Related Field

Related Subfield