The mission of the MIT Department of Brain and Cognitive Sciences (BCS) is to reverse engineer the human mind. To do that we delve deeply into the mechanisms of the brain at all levels — from molecules to synapses to neurons to circuits to algorithms to human behavior and cognition, we build links between those levels, and we train the next generation of scientific leaders. The department is rooted in a tradition of intensive academics and research, where rigorous coursework is coupled with hands-on, collaborative research. The department offers supportive mentorship to new faculty and a strong commitment to an inclusive, welcoming culture. Applications from under-represented minorities will be given our highest consideration. If you would like to play a part in this stimulating and challenging environment, please apply at the links below.
Human Resources Administratoe
Multiple Tenure-Track Faculty Positions
Posted September 3, 2020
The Department of Brain & Cognitive Sciences (BCS), in collaboration with the McGovern Institute for Brain Research (MIBR) and the Picower Institute for Learning and Memory (PILM) at MIT are looking to hire multiple tenure-track faculty at the assistant professor level or higher. The Department of Brain and Cognitive Sciences offers supportive mentorship to new faculty, an exceptional environment for scientific inquiry, and a strong commitment to an inclusive, welcoming culture. Applications from under-represented minorities will be given our highest consideration.
The department is broadly interested in the mind and brain and we strongly encourage applications from creative candidates whose research relates to any aspect of brain and cognitive sciences. This includes (but is not limited to) candidates who: Study the mechanisms of brain function, plasticity, development, and/or disease at the molecular, cellular, circuit and/or systems level using cutting edge neurogenetic, molecular, electrophysiological, computational, or imaging technologies; Study cognition, development, sociocultural reasoning, motivation and decision-making, language, emotion, or perception; Take a diverse range of computational approaches, including machine learning, computer vision, robotics, probabilistic modeling, dynamical systems, planning, programming languages, or natural language processing, in seeking to understand natural intelligence by building artificially intelligent systems.
We are especially interested in researchers who can bring diverse perspectives or innovative methods.
Successful applicants are expected to develop and lead independent, internationally recognized research programs and to share in our commitment to excellence in undergraduate and graduate education by teaching courses and mentoring graduate and undergraduate students. PhD must be completed by start day of employment and some postdoctoral training is preferred.
Please submit application materials – cover letter, CV, statement of research and teaching interests and representative reprints – online at https://academicjobsonline.org/ajo/jobs/16758. In addition, candidates should provide a statement regarding their views on diversity, inclusion, and belonging, including past and current contributions as well as their vision and plans for the future in these areas. To help direct the application, applicants should indicate areas of interest by selecting from the drop-down list included in the application. In addition, please arrange to have three letters of recommendation submitted online. All application materials are due by midnight (EST) on December 1, 2020.
MIT is an equal opportunity, affirmative action employer. All qualified applicants will receive consideration for employment regardless of race, color, religion, sex, sexual orientation, gender identity, national origin, veteran status, or disability. We will take affirmative action to ensure that individuals historically discriminated against by race or gender are represented in our workforce and promoted within our institution.
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