Scientific software developer for unique neuroscience / machine learning collaboration

We are seeking a capable and experienced developer to join a multi-institution team working on computational neuroscience related topics. The candidate will be responsible for implementing data analysis pipelines written primarily in Python and partly in MATLAB, maintaining as well as extending the functionality based on research demands. The applicant will support a team of leading researchers in computational neuroscience, statistics, and machine learning in an effort to discover algorithmic principles that bridge artificial and natural intelligence. Interest and experience in machine learning is a plus, as is familiarity with PyTorch. Our efforts will draw on cutting-edge neuroscientific data collected by a team of experienced experimentalists. This unique and ambitious collaboration has exciting potential for revolutionary discoveries in both neuroscience and machine learning. However, the project deliverables are on a strict timeline, so the ability to quickly implement and adapt code to new approaches and algorithms will be paramount.

The ideal applicant will have the following characteristics:

Project PI: A. Tolias (BCM)
Co-PI: X. Pitkow (BCM/Rice)
Research Director: J. Reimer (BCM)
Key Personnel: A. Patel, R. Baraniuk (Rice U.); R. Zemel, R. Urtasun (U. Toronto); T. Siapas (Caltech); M. Bethge (U. Tübingen); C. Xu (Cornell U.); L. Paninski (Columbia U.)

Please send application letter and CV to info@ninai.org.




Computer System Administrator needed for large scale neuroscience/machine learning researching lab

We are seeking a capable and experienced system computer system administrator to join the large scale neuroscience and machine learning research lab. The system administrator will build and manage the computational infrastructure to enable and support the projects involving massively large scale neuroscience data processing and analysis as well as advanced machine learning algorithm optimizations. The applicant will join a team of leading researchers and engineers in the field of neuroscience and machine learning to develop, configure and maintain, among other things, highly optimized and robust data storage and transfer infrastructure, database servers and state management system for automated data processing, and large GPU clusters for high-availability computations specialized for massive neural network trainings.

The ideal applicant will exhibit the following characteristics and expertise:

Project PI: A. Tolias (BCM)
Co-PI: X. Pitkow (BCM/Rice)
Research Director: J. Reimer (BCM)
Key Personnel: A. Patel, R. Baraniuk (Rice U.); R. Zemel, R. Urtasun (U. Toronto); T. Siapas (Caltech); M. Bethge (U. Tübingen); C. Xu (Cornell U.); L. Paninski (Columbia U.)

Please send application letter and CV to info@ninai.org.