Research Associate Deep Learning - Berlin, Deutschland - Fraunhofer-Gesellschaft

Fraunhofer-Gesellschaft

Geprüftes Unternehmen

Berlin, Deutschland

vor 2 Wochen

Geschrieben von:

Lena Wagner

beBee Recruiter

Beschreibung

Future. Discover. Together.

The working group "Efficient Deep Learning" in the department "Artificial Intelligence" deals with the development of efficient, comprehensible and energy-saving learning methods, as well as the compression and coding of neural networks.

On the one hand, this includes the development of efficient Deep Learning architectures as well as Federated Learning algorithms. On the other hand, efficient coding technologies for neural networks are developed and introduced into international standardization, e.g. in ISO/IEC MPEG or 3GPP.

The research work is done in close cooperation with the Technische Universität Berlin and the BIFOLD-Berlin Institute for the Foundations of Learning and Data.

Be a part of our team and come on a journey of research and innovation

What you will do

Researching novel, comprehensible, and reliable AI methods and implementing them in appropriate software environments
Verification of algorithms with exciting data
Being able to make valuable contributions to international standardization bodies
Collaboration with international ML experts and participation in various activities of the group at conferences such as NeurIPS, ICML, CVPR
A highly motivated, international team and excellent equipment (a powerful GPU cluster with over 100 GPU nodes)
Preparation of scientific publications and the possibility of doing a PhD

What you bring to the table

An aboveaverage university degree (Master's or Diploma) in a relevant field of study (e.g. computer science, physics, mathematics, or similar) completed or about to be completed.
Excellent programming skills in Python and are comfortable with common deep learning frameworks (PyTorch, TensorFlow, Keras)
You are familiar with creating programming environments for Deep Learning projects (e.g., using Conda or virtual Python environments, CUDA, git, ssh, model determinism, etc.).
Knowledge of C++ is advantageous
Extensive knowledge base in the areas of machine learning, mathematical optimization, and/or information theory
You enjoy working in a team, like to think analytically, can work independently and on your own initiative, and enjoy new technologies and interdisciplinary collaboration.
You are fluent in written and spoken English

What you can expect

Fascinating challenges in a scientific and entrepreneurial setting
Attractive salary package according to TvöD with 30 vacation days, pension scheme (VBL), wealth creation benefits (VWL)
Modern and excellently equipped workspace in a central location
Great and cooperative working atmosphere in an international team
Flexible working hours
Support if you wish to do a doctorate
Opportunities to work from home
Extensive training, health

- and sports offers

Various employee discounts and discounted BVG ticket
Offers for families (parentchild office, emergency care, leisure activities, etc.)

The position is initially limited to 2 years. An extension is explicitly desired.

With its focus on developing key technologies that are vital for the future and enabling the commercial utilization of this work by business and industry, Fraunhofer plays a central role in the innovation process.

As a pioneer and catalyst for groundbreaking developments and scientific excellence, Fraunhofer helps shape society now and in the future.

If you have any questions about this position, please direct them to:
Dr. Karsten Müller
or
Dr. Wojciech Samek

Fraunhofer Institute for Telecommunications, Heinrich Hertz Institute HHI

Requisition Number: 66744
Application Deadline: 08/31/2023