How to apply
|Who to email@example.com|
|Email subject||Start with "[ML PhD]"|
|What to include?||
If you apply with your own project idea
We are looking for a highly motivated and skilled PhD student (E13 100%) to develop and analyze predictive machine learning models for superior colliculus in mice. This project is a collarboration with Dr. Katrin Franke and Prof. Andreas Tolias at Baylor College of Medicine (BCM), Houston, Texas.
The candidate is expected to develop machine learning models superior colliculus and analyze the learned model w.r.t. functional properties that enable behavioral decisions in mice. The analyses should lead to predictions that can be tested in subsequent experiments by our collaborators. The PhD position is purely computational, but the candidate is expected to closely collaborate with the experimentalists at BCM Houston. To get and idea about the kind of work, you can read the latest publication in Nature.
The ideal candidate has a degree in machine learning, physics, math, electrical engineering, or related fields, and a strong background in mathematics, machine learning, or statistics, with prior experience in (computational) neuroscience.
Our international team puts great emphasis on high quality research in an open and collaborative research environment. We particularly encourage women and other underrepresented groups in STEM fields to apply. Please check the How to apply section below.