The "Theory of Neural Systems" group led by Prof. Dr. Laurenz Wiskott at the Ruhr University Bochum, Germany is looking for an excellent and highly motivated PhD student to work on the topic of scalable machine learning. The student will be co-supervised by Dr. Anand Subramoney. The appointment will be for three years, starting as soon as possible. Salary is 75% of salary scale TV-L E13.

The PhD student will work on developing state-of-the-art machine learning models that can scale to billions of parameters with a focus on energy efficiency. Using sparsity and asynchrony as core design principles, the models will also use biological inspiration to achieve these goals. Collaborations with academic and industry groups to use bio-inspired low-energy neuromorphic hardware are encouraged.