Developing Statistical Theories for Biological Neural Networks

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Enschede, Overijssel, Nederland University of Twente Voltijd
About the Role

The University of Twente invites applications for a PhD position in statistical theory, focusing on biological neural networks. This role is part of an ERC consolidator grant aimed at generalizing statistical theories from artificial neural networks to biological systems.

Job Description

This project seeks to bridge the gap between deep learning and brain functioning by exploring the underlying network structures and learning processes. The successful candidate will contribute to developing novel statistical theories that may provide insights into how the brain learns and improve AI efficiency with less data.

Your Profile
  • You are an enthusiastic and highly motivated researcher with a Master's degree in Statistics, Mathematics, or a related field.
  • You possess a creative mindset, excellent analytical and communication skills, and a good team spirit.
  • You are fluent in English and able to work in an interdisciplinary environment.
Our Offer

As a PhD candidate at UT, you will be appointed to a full-time position for four years with a qualifier in the first year. You will receive a gross monthly salary ranging from € 2,770,- (first year) to € 3,539,- (fourth year), including benefits such as a holiday allowance, end-of-year bonus, and solid pension scheme.

We offer a dynamic ecosystem with enthusiastic colleagues, free access to sports facilities on campus, and a family-friendly institution that provides parental leave options. You will have a training programme as part of the Twente Graduate School and collaborate closely with researchers and other staff while enjoying a high degree of responsibility and independence.



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