Intern/Master Thesis focusing on generative AI for multimedia communication at Fraunhofer Institute. Engage in cutting-edge research on machine learning and communication engineering in a collaborative environment.
Responsibilities
Conduct a comprehensive literature review on generative models applied to the physical-layer of communication.
Design and implement generative AI–based transmission schemes.
Evaluate the performance of these schemes against conventional digital baselines in terms of distortion, reliability, and efficiency.
Requirements
You are studying in the fields of communication theory, signal processing, or machine learning.
You have a solid understanding of physical-layer concepts, including modulation and channel coding.
Hands-on experience with Python and machine learning frameworks such as PyTorch or TensorFlow, as well as NumPy and SciPy.
Benefits
Flexible working hours compatible with your studies.
Open and friendly working atmosphere.
Diverse and inspiring tasks that challenge you.
Opportunities to continue with the institute in a full-time or part-time role after graduation.
Opportunity to write your master’s thesis in collaboration with the institute.
Job title
Intern – Master’s Thesis: Generative AI for Joint Source and Channel Coding of Short Multimedia Packets
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