Connectionists: Open PhD position in scalable, energy-efficient machine learning

[Anand]

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.

We offer:
  - An attractive interdisciplinary environment in the field of Machine Learning / Artificial Intelligence / Computational Neuroscience.
  - Room to develop your own ideas in the project.
  - Opportunity to collaborate with international industry and university partners.
  - Infrastructure to integrate well into the institute and the group.
  - Opportunity to do a PhD (Dr).

Candidates for this post should possess:
  - An excellent Masters's degree in mathematics, computer science, engineering, or a related field.
  - Excellent programming skills (Python preferably).
  - Good knowledge of applied mathematics and computer science.
  - Ability to learn quickly and work independently, as well as in a team.
  
Preferred qualifications include:
  - Interest in interdisciplinary research questions and cooperation.
  - Hands-on/research experience with deep learning.
  - Experience with machine learning frameworks such as PyTorch/Tensorflow/JAX.
  - Good communication and teamwork skills.
  - Experience or willingness to collaborate with a wide variety of interdisciplinary partners.

How to apply:
Applications should be sent as a single pdf file to anand.subramoney at ini.rub.de and should include:
  - Email subject line: "PhD application: Efficient Scalable ML"
  - CV with contact information for two references
  - transcript of records for MSc and BSc
  - a statement of purpose describing your research interests and why you think you are a good fit for this position
  - Application deadline: 20th May

Address informal enquiries to anand.subramoney at ini.rub.de or laurenz.wiskott at ini.rub.de.

Travel expenses for interviews will not be refunded.

Ruhr-University Bochum is committed to equal opportunity in employment and gender equality in its working environment. We, therefore, look forward to applications from qualified women. Applications from appropriately qualified disabled persons are also encouraged.

More details available at: 
https://jobs.ruhr-uni-bochum.de/jobposting/92da0411e7aeebfd8a116e70591929e633a6da870

--
Dr. Anand Subramoney
Institut für Neuroinformatik (INI)
Ruhr-Universität Bochum, Germany
https://anandsubramoney.com