Research fellow for neural networks in embedded systems
The Fraunhofer-Gesellschaft (www.fraunhofer.com) currently operates 76 institutes and research institutions throughout Germany and is the world’s leading applied research organization. Around 30 000 employees work with an annual research budget of 2.9 billion euros.
One task of our Broadband and Broadcast Department is driving the development of new technologies for artificial intelligence and communication systems. In the research field of neuromorphic computing, our focus is on the energy-efficient implementation of neural networks on highly specialized accelerator architectures. We plan to further expand our small, ambitious team and are looking for a passionate expert in the field of spiking neural networks.
What you will do
Conduct research into the optimization and implementation of Spiking Neural Networks (SNN) on energy-efficient embedded systems, in particular neuromorphic hardware, taking into account hardware constraints – always keeping the latest scientific findings in mind.
You will use your SNN knowledge to contribute to the development and optimization of novel neuromorphic accelerators.
In addition, you will actively contribute your own ideas to shaping the research topic of neuromorphic computing.
What you bring to the table
A degree with a focus on machine learning, deep learning, artificial intelligence or neuroinformatics.
Experience in the implementation and training of Spiking Neural Networks.
Good knowledge of the properties and application of different classes and architectures of neuromorphic hardware.
Good programming skills in Python. Knowledge of another programming language (C++, C#, Julia or similar) is an advantage.
Language skills: Very good English as well as good German or willingness to learn German
What you can expect
By working on a wide range of projects with a strong practical component in the field of embedded AI, you will help shape pioneering edge AI technology and neuromorphic hardware.
We offer an open and friendly working environment and a personalized development plan tailored to your needs through our comprehensive range of further training/education opportunities.
We promote your work-life balance by offering flexible working hours and various support offers that help in your balancing private life and career.
Our facilities and interdisciplinary collaboration enable innovative scientific work with highly sophisticated technical equipment.
We offer you a broad range of networking opportunities within the Fraunhofer Institute and access to active contact with several universities.
If you are interested and ready to take the initiative, we also offer you the opportunity to carry out a doctoral project for which we will gladly provide support.
The weekly working time is 39 hours. The position is limited for two years with the posibillity of an extension. It can also be filled on a part time basis.
We value and promote the diversity of our employees' skills and therefore welcome all applications - regardless of age, gender, nationality, ethnic and social origin, religion, ideology, disability, sexual orientation and identity. Severely disabled persons are given preference in the event of equal suitability. Appointment, remuneration and social security benefits based on the public-sector collective wage agreement (TVöD). Additionally Fraunhofer may grant performance-based variable remuneration components.
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.
Apply online now (Motivation letter, CV, certificates). We look forward to getting to know you!