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Massachusetts Institute of Technology Technical Associate I - Kanwisher Lab in Cambridge, Massachusetts

Technical Associate I - Kanwisher Lab

  • Job Number: 21836

  • Functional Area: Research - Scientific

  • Department: McGovern Institute for Brain Research

  • School Area: Office of Provost

  • Employment Type: Full-Time

  • Employment Category: Exempt

  • Visa Sponsorship Available: No

  • Schedule:

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

TECHNICAL ASSOCIATE I, McGovern Institute for Brain Research, to join the Kanwisher Lab (https://web.mit.edu/bcs/nklab/index.shtml) and help conduct research on the functional organization of the human brain using fMRI, (occasional) intracranial recording, magnetoencephalography, eye tracking, behavior, and other methods. Responsibilities include assisting with all aspects of research, including designing and programming experiments; conducting fMRI and MEG scans and behavioral experiments; analyzing MRI, MEG, eye tracking, behavior, or other data; debugging Linux server problems; implementing and maintaining analysis software; creating and maintaining lab documentation; managing the lab's computational resources and storage, namely within the department's cluster; providing technical support for lab personnel; and performing some basic administrative duties.

Job Requirements

REQUIRED: bachelor’s degree in cognitive science, neuroscience, computer science, engineering, psychology, physics, or math; two years’ relevant research experience in cognitive neuroscience; strong math, statistics, and computer skills (e.g., MATLAB, Python, HTML/JavaScript, Git, and shell scripting); programming experience; Mac and Windows troubleshooting skills; solid knowledge of the Linux/UNIX environment; organizational skills; self-motivation; and ability to work effectively with others and to multitask efficiently in a fast-paced environment. PREFERRED: familiarity with the SLURM workload manager, high-performance computing, and Tensorflow or Pytorch; research experience conducting and/or analyzing functional and/or anatomical MRI, MEG, or intracranial experiments; and experience with the state-of-the-art in deep learning and ability to use off-the-shelf pre-trained models, training models from scratch, and evaluation methods. Job #21836This is a two-year appointment, with a possibility of renewal.9/13/22