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
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FINANCIAL COORDINATOR, Brain and Cognitive Sciences, to serve as a key member of the finance team by coordinating financial activities and sponsored program administration for a dynamic academic neuroscience department. Will coordinate the preparation, review, and submission of budgets and/or grant proposals; assist with proposal development and submission; track and monitor compliance and consistency with approved award budgets; coordinate timely payments, extensions, and closeouts; create, implement, and maintain budget and proposal tracking systems; forecast account balances; generate budget reports and produce budget forecasts; process UROP proposals and payroll; assist with graduate student funding and submit and maintain graduate student appointments; and track external fellowships for graduate students.
REQUIRED: bachelor’s degree in a related field; at least two years’ experience in accounting or finance; strong communication, analysis, and organizational skills; ability to learn changing technologies related to grants and contracts management; knowledge of federal guidelines and the principles, theories, and concepts of pre- and post-award grant management; high-level proficiency with Excel and other MS Office products; and knowledge of SAP or similar accounting package. PREFERRED: MIT experience and experience in an academic research environment with an emphasis on sponsored research. Job #19636-6
Postdoctoral Associate—Low-resource Language Learning
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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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