The McGovern Institute is an interdisciplinary unit at MIT where scientists are pursuing innovative brain research in an exciting environment. Management, administrative, technical, and support positions are central to the fulfillment of the McGovern Institute’s research and educational goals. Current openings at the McGovern Institute can be found on the MIT Human Resources website through the link below. Postdoctoral fellows and associates are appointed through individual faculty advisors.
MIT is an equal employment opportunity employer. All qualified applicants will receive consideration for employment and will not be discriminated against on the basis of race, color, sex, sexual orientation, gender identity, religion, disability, age, genetic information, veteran status, ancestry, or national or ethnic origin.
Highlighted Positions
Postdoctoral Fellowship, Rolling Application
Opportunities at the McGovern Institute for Brain Research at MIT. This initiative is to support scholars from populations underrepresented in neuroscience (e.g., African Americans, Indigenous or Native Americans, Pacific Islanders, Hispanics or Latinos, and those with disabilities or from disadvantaged backgrounds). We are part of broader strategic plans at MIT to recruit and support scientists from groups underrepresented in STEM fields.
Our cross-disciplinary and collaborative faculty create and apply cutting-edge techniques to better understand the mind in health and disease, with a preclinical eye to developing new treatments for autism, schizophrenia, drug addiction, Huntington’s disease, Parkinson’s disease and other neurological and neuropsychiatric disorders.
We invite applications from soon-to-be or recent PhD graduates who seek to pursue careers in neuroscience based in computational biology, cognitive science, psychology, molecular and cellular biology, physiology, biological engineering, or a related field.
This is a 2-year fellowship opportunity, with the possibility of extension, with the stipend for a starting Postdoctoral Fellow currently at $58,608 (based on the year 4 NIH rate). Postdoctoral Fellows at MIT are also eligible for the following benefits https://hr.mit.edu/eligibility-postdoctoral-fellows.
Come join our exciting research program in a vibrant city!
Applications are accepted on a rolling basis.
Please submit the following information to Jill Crittenden at jrc@mit.edu for consideration:
· A curriculum vitae
· Cover letter relating prior research experience and career goals
· Indication of citizenship status – US citizen/Green card required
MIT is an equal opportunity employer. We value diversity and strongly encourage applications from individuals from all identities and backgrounds. All qualified applicants will receive equitable consideration for employment based on their experience and qualifications, and will not be discriminated against on the basis of race, color, sex, sexual orientation, gender identity, religion, disability, age, genetic information, veteran status, ancestry, or national or ethnic origin. MIT’s full policy on Nondiscrimination can be found here.
Postdoctoral Fellow, ICoN Center
K. Lisa Yang Integrative Computational Neuroscience (ICoN) Center
JOB ID: 20262
To apply for this position please visit the MIT Careers website.
Two positions to develop multiscale neural circuit models or data analysis techniques bridging molecular, circuit, behavioral neuroscience, cognition, and machine learning. Will join world-class neuroscientists, cognitive scientists, and engineers in solving some of today’s most exciting computational research problems and apply computational neuroscience, statistics, machine learning, AI, or data science skills to cutting-edge research questions and unique datasets related to brain function and dysfunction. Will develop and apply tools to automate the analysis of behavior in humans and animals; collaborate with a team of neuroscientists, clinicians, and engineers to create a set of behavioral assays in individuals and in children with ASD and other psychiatric disorders with the goals of earlier diagnosis, improving classification of disorder subtypes, and identifying key target behaviors for training and therapy; and work with ICoN researchers to integrate these behaviors into advanced, multilevel computational models of the brain that incorporate behavioral, neuronal, and molecular level data and identify key opportunities for behavioral characterization within innovative computational brain models. Will work across multiple labs at McGovern Institute, BCS Department, and Schwarzman College, including the Fiete, Yang, Feng, and Seethapathi labs; with clinicians at Children’s Hospital of Philadelphia; and potentially others.
Job Requirements
REQUIRED: Ph.D. in computational neuroscience, computer science, mathematics, physics, or other science/engineering field; experience with machine learning, statistics, computational neuroscience, and/or computer science; track record of working on collaborative projects; and an interest in collaborating with scientists working at multiple scales of behavior, circuit dynamics, and molecules.
PREFERRED: experience developing analysis tools/techniques for large-scale data sets or experience building neural, circuit, behavioral, or deep learning models.
Research Scientist, ICoN Center
K. Lisa Yang Integrative Computational Neuroscience (ICoN) Center
Job Number: 20383
To apply for this position please visit the MIT Careers website.
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.
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.