Connectionists: Open PhD position in scalable, efficient machine learning

[Anand]

We are looking for excellent and highly motivated PhD students to join the Scalable Machine Learning group in the Department of Computer Science, Ruhr University Bochum.

As a PhD student, you will work on developing state-of-the-art machine learning models that can scale while being energy-efficient. These models will be based on core design principles of sparsity and asynchrony and take inspiration from biology/neuroscience. The work will be done in collaboration with academic and industry groups that develop biology-inspired low-energy neuromorphic hardware.

The appointment will be for three years, starting as soon as possible. Salary is 75% of salary scale TV-L E13.
 
We offer:
   - An attractive interdisciplinary environment in Machine Learning / Artificial Intelligence.
   - 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 the following:
   - A very good 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 the following:
   - Email subject line: "PhD application: Efficient 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: 12th of December
 
Address informal enquiries to anand.subramoney at ini.rub.de or david.kappel 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 are available at:
https://jobs.ruhr-uni-bochum.de/jobposting/0054a35fae97508f06fe9a95773b5e6d0545e3c50?ref=homepage

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