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Research Scientist, K. Lisa Yang Integrative Computational Neuroscience (ICoN) Center

 

Research Scientist, K. Lisa Yang Integrative Computational Neuroscience (ICoN) Center

Research – Laboratory /Non-Laboratory        ·        Cambridge, MA         ·         Full-Time 

 

Internal Number: 20383

 

Information on MIT’s COVID-19 vaccination requirement can be found at the bottom of this posting.

 

RESEARCH SCIENTIST, McGovern Institute for Brain Research-K. Lisa Yang Integrative Computational Neuroscience (ICoN) Center, to pursue a creative, collaborative research program developing new statistical and machine learning tools to analyze unique large, multiscale datasets obtained here using cutting-edge methods in molecular, circuit, and behavioral neuroscience and cognition. Will join world-class neuroscientists, cognitive scientists, and engineers in solving today’s most exciting computational research problems and apply statistics, machine learning, AI, and data science skills to shed light on brain function from data; develop and deploy new data analysis tools on multiple cross-disciplinary research projects; coordinate, organize, and work across labs towards a common goal; supervise and manage a research team to develop and execute the algorithms; provide guidance for standardization, storage, sharing, and management of large data sets; and help translate computational algorithms into efficiently functioning (especially parallelized and GPU optimized) code. The work will be collaborative with Ila Fiete, Robert Yang, Nidhi Seethapathi, Fan Wang, and other McGovern faculty.

 

Job Requirements

REQUIRED:

  • Ph.D.; experience with machine learning, statistics, computational neuroscience, computer science, or relevant quantitative field; and a track record of data-driven discovery, collaboration on data-intensive projects, and code development and sharing.
  • Must have experience developing analysis tools and techniques for large-scale data sets; implementing and developing large-scale data-processing algorithms; GPU optimization in PyTorch and TensorFlow, including ability to write new GPU-based operations in both frameworks; high performance cluster computing and/or cloud computing at scale; high-speed I/O programming; and building tools for data sharing and code sharing

PREFERRED:

background in neuroscience and cognitive science. 

 

Job #20383

 

Details

Posted: 28-Jul-23
Location: Cambridge, Massachusetts
Type: Full-time
Salary: Open
Categories: Research – Laboratory /Non-Laboratory; Staff/Administrative

 

 

Please click here to apply.

 

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