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 Administrator
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.
The MIT School of Science offers a range of direct services and resources to promote the health and well-being of MIT faculty members and their families in support of work-life balance and childcare.
Research Support Associate 1
Click here to view this listing and apply on the MIT Careers website.
RESEARCH SUPPORT ASSOCIATE 1, Brain and Cognitive Sciences (BCS), to join the Computational Cognitive Science Lab. Will serve as a primary contact for the PI; assume a broad range of lab support duties, including coordinating lab-wide events, monitoring inventory, assisting with the selection/sourcing/purchasing of equipment/supplies, managing vendor relationships, and maintaining equipment service records/contracts; assist researchers with programming in support of computational cognitive modeling and behavioral experimentation and potentially AI applications; assist with the grant submission and oversight process, helping coordinate proposal components and progress reports, and overseeing expenditures; coordinate reporting and inspections; oversee protocol implementation and renewals; coordinate lab financial and administrative management with BCS and CSAIL headquarters’ staff, including oversight of subcontracts, budget preparation and monitoring, database management, and report preparation; collaborate on maintaining lab website, shared server, data storage, software/licenses, lab calendar, desktop/work stations, and other online resources/equipment; gather and analyze information; serve as liaison to other MIT departments; work with PI on personnel hiring/onboarding/reappointments; help oversee lab personnel and their projects’ status; serve as a resource to students/postdocs; and perform additional duties as requested.
Will be encouraged to develop and pursue collaborative research projects, participate in lab activities, and take relevant courses at MIT.
REQUIRED: high school diploma or its equivalent; interest in cognitive science, neuroscience, and/or artificial intelligence; initiative; flexibility; ability to develop and maintain complex organizational systems; programming experience; minimal website development experience; comfort interacting with a range of people, including undergraduate students and community members; self-motivation; and ability to work in a fast-paced and changing environment. PREFERRED: bachelor's degree in related discipline, exposure to a research environment, and some research experience. Job #19504-3
Must be available to work at changing hours, including evenings and weekends.
This is a one-year position with the possibility of extension dependent on funding.
Postdoctoral Associate—Low-resource Language Learning
Click here to view the listing and apply on the MIT Careers site.
POSTDOCTORAL ASSOCIATE-LOW-RESOURCE LANGUAGE LEARNING, Brain and Cognitive Sciences (BCS), to join a large multidisciplinary, multi-PI project on low-resource language learning at the intersection of natural language processing, machine learning, linguistics, and cognitive science. Human language technology has seen remarkable advances in the past several years, but relies heavily on data-hungry deep-learning models. The huge datasets required for high-performance levels with these technologies remain a privilege for only a handful of the world’s 6,000+ languages, keeping the fruits of NLP and machine learning from reaching everyone on the planet--especially the Global South. For linguistics and cognitive science, understanding of language structure, learning, and processing is similarly skewed toward resource-rich languages. Will develop and test machine learning methods for natural language processing that perform well for typologically-diverse languages under data-scarce conditions and that help address questions of scientific interest in linguistics and cognitive science; and develop and maintain an independent research program in synergy with project goals. Potential topics include automatic discovery of compositional morphological, syntactic, and semantic structure; induction of phonological rule or constraint systems; interactive, grounded learning of linguistic structure and meaning; and phylogenetic and areal modeling of language change. The project is supported by the MIT–IBM Watson AI Laboratory with direct supervision by Roger Levy. Other PIs include Jacob Andreas, Regina Barzilay, Shiyu Chang, Jim Glass, Tommi Jaakola, Yoon Kim, Tahira Naseem, Mo Yu, and Yang Zhang.
REQUIRED: Ph.D. in computer science, linguistics, cognitive science, or related field by the start date; expertise with natural language processing, deep learning, linguistic theory, and Bayesian statistics; and a background/interest in understudied languages, linguistic fieldwork language documentation, and linguistic typology. Job #19430
Target start date is summer or fall 2021, with some potential flexibility.
Questions or inquiries about the position may be directed to Roger Levy at email@example.com.
In addition to applying via the MIT website with a CV, cover letter, research statement, and contact information for three potential letter writers (which may be included as a single pdf on the MIT site), applicants are asked to submit their material to https://academicjobsonline.org/ajo/jobs/18385.
To ensure fullest consideration of your application, please apply by April 16, 2021.
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