Career Opportunities at EECS

    MIT’s largest academic department, EECS offers a vibrant, exciting workplace in which to build your career. Browse our current openings below.

    Faculty positions

    The Massachusetts Institute of Technology Department of Electrical Engineering and Computer
    Science (EECS) seeks candidates for faculty positions starting July 1, 2022, or on a mutually
    agreed date thereafter. We welcome outstanding applicants with research and teaching interests in any area of electrical engineering, computer science, and artificial intelligence and decision making. EECS believes that the intellectual, cultural and social diversity of our faculty, staff, and students is vitally important to the distinction and excellence of our academic and research programs. The Department seeks candidates who support our institutional commitment to ensuring that MIT is inclusive, equitable, and diverse. Appointment will be at the assistant or untenured associate professor level. In special cases, a senior faculty appointment may be possible, commensurate with experience. Faculty duties include teaching at the undergraduate and graduate levels, research, and supervision of student research. Candidates should hold a Ph.D. in electrical engineering and computer science or a related field by the start of employment.

    Candidates must register with the EECS search website at https://faculty-searches.mit.edu/eecs, and must submit application materials electronically to this website. Applications must include a cover letter, curriculum vitae, a research statement (2-4 pages) and a teaching statement (1-2 pages). 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. Each application should include the names and addresses of three or more individuals who will provide letters of recommendation. Letter writers should submit their letters directly to MIT, preferably on the website or by mailing to the address below.

    Complete applications should be received by December 1, 2021. Applications will be considered
    complete only when both the applicant materials and at least three letters of recommendation
    are received.

    It is the responsibility of the candidate to arrange reference letters to be uploaded at
    https://faculty-searches.mit.edu/eecs by December 1, 2021.

    Send all materials not submitted on the website to:
    Professor Asu Ozdaglar
    Department Head, Electrical Engineering and Computer Science Massachusetts Institute of
    Technology
    Room 38-403
    77 Massachusetts Avenue
    Cambridge, MA 02139

    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. MIT’s full policy on Nondiscrimination
    can be found at the following: https://policies.mit.edu/policies-procedures/90-relations-andresponsibilities-within-mit-community/92-nondiscrimination 

    Shared search: Faculty positions in Computing for Health of the Planet

    FACULTY POSITIONS in Computing for Health of the Planet

    in Mechanical Engineering and Schwarzman College of Computing Massachusetts Institute of Technology

    Cambridge, MA

     

    The Massachusetts Institute of Technology (MIT) Department of Mechanical Engineering together with the Schwarzman College of Computing seeks candidates for tenure-track faculty positions in Computing for Health of the Planet to start July 1, 2022 or on a mutually agreed date thereafter. The search is for candidates to be hired at the assistant professor level; under special circumstances, however, an untenured associate or senior faculty appointment is possible, commensurate with experience.

     

    The health of the planet is one of the most important challenges facing humankind today. The need for a sustainable planet demands integrated research efforts that develop novel fundamental modeling, computation, machine learning and AI methods with technological innovation. A creative mens et manus approach is essential to ensure the health and security of our environment.

     

    We seek candidates who have skills in computing and data-driven science and engineering, for applications and solutions related to the health of the planet. Topics include but are not limited to:

    • Intelligent environmental monitoring and forecasting, e.g., fundamental and applied research in integrating dynamical models, machine learning, and physical systems for sensing, forecasting, and risk assessment of environmental hazards, such as sea-level change, flooding events, coastal pollution, heat waves, biodiversity threats, and adverse effects on human health
    • AI-driven solutions for climate change mitigation and adaptation, e.g., computational and robotic systems, integrated smart sensors and dynamics, and deep learning methods to explore, utilize and protect our environment
    • Sustainable mobility and transportation, e.g., use of data for estimation, prediction, autonomy, or control relevant to autonomous vehicles, clean transports, and ocean environments and systems
    • Resilient solutions for clean air, usable water, and food, e.g., use of data-driven models and AI-embedded engineering for clean filtration, desalination, water management, smart irrigation, digital agriculture, sustainable aquaculture, clean harvesting, and food security
    • Computing for sustainable and renewable energy, e.g., computational and data-driven approach for energy conversion with renewable storage, efficient carbon capture, smart power systems, low emission propulsion, green buildings
    • Smart sustainable manufacturing and design, e.g., computing and data-driven process development, control, and optimization; discovery of new materials; AI-based design of devices, structures and systems that are energy-efficient, promote reuse and recycling of materials, reduce consumption, or otherwise mitigate climate change and environmental impact on the planet

     

    Candidates should possess fundamental skills in one or more of the following areas: learning for dynamics, nonlinear dynamical systems, closure models, computational modeling, scientific machine learning, high dimensional statistics and optimization, science of autonomy, intelligent systems, smart sensing, computing devices, decision theory, risk analysis, and data-driven science and engineering.

     

    The Department of Mechanical Engineering and the Schwarzman College of Computing (SCC) are committed to fostering interdisciplinary research that can address grand challenges facing our society. We are especially interested in qualified candidates who can contribute, through their research, teaching, and/or service, to the diversity and excellence of the academic community. We seek candidates who will provide inspiration and leadership in research, contribute proactively to both undergraduate and graduate level teaching in the Mechanical Engineering department and SCC. The successful candidate would have a shared appointment in both the Department of Mechanical Engineering and also the Schwarzman College of Computing, in either the Department of Electrical Engineering and Computer Science (EECS), or in the Institute for Data, Systems, and Society (IDSS). Candidates can also become members of the Center for Computational Science and Engineering (CCSE) and of other groups at MIT.

     

    Faculty duties include teaching at the undergraduate and graduate levels, advising students, conducting original scholarly research and developing course materials at the undergraduate and graduate levels. Candidates must hold a Ph.D. in Engineering, Physics, Data Science, Computer Science, or Applied Mathematics or a similar discipline by the beginning of employment.

     

    Applications must include a cover letter, curriculum vitae, 2–3 pages statement that explicitly highlights how their research has and/or will contribute to the health of the planet, as well as corresponding teaching interests and goals. In addition, candidates should provide a statement regarding their views on diversity, equity, inclusion, and belonging, including past and current contributions as well as their vision and plans for the future in these areas. Approaches to fostering an inclusive environment including but not limited to teaching, mentoring, and affirming diverse viewpoints, are encouraged to be discussed. They should also provide copies of no more than three publications. They should also arrange for four individuals to submit letters of recommendation on their behalf. This information must be entered electronically at the following site: https://school-of- engineering-faculty-search.mit.edu/meche/register.tcl by December 15, 2021 when review of applications will begin.

    MIT is an equal-opportunity/affirmative action employer. The Department of Mechanical Engineering with the Schwarzman College of Computing are keenly interested in diversifying its faculty and encourages applications from candidates from historically underrepresented group(s) in higher education to apply. Women and underrepresented minorities are especially encouraged to apply.

     

    Shared search: faculty position, shared with Philosophy

    Junior faculty / Tenure-track or similar

     

    Workload        Full time

    Vacancies        1

    Location          Cambridge, Massachusetts, United States

    Start date        July 2022

    Job description

    MASSACHUSETTS INSTITUTE OF TECHNOLOGY, Department of Linguistics and Philosophy, Cambridge, MA. One or more tenure track positions, at the rank of Assistant Professor, effective July 1, 2022 or as soon as possible thereafter. Area of Specialization: Philosophical issues related to computing OR moral/political philosophy, with interest in the ethics of computing. Area of Competence: Moral/political philosophy. Rank: Assistant Professor. Faculty responsibilities include teaching three graduate and/or undergraduate courses per year, or equivalent, semester system. Applicants should have a PhD in Philosophy or related field at start of employment. The position involves shared responsibilities with MIT’s Schwarzman College of Computing, including teaching within the College. Tenure home will be in the Department of Linguistics and Philosophy. MIT is an equal opportunity employer committed to building a culturally diverse intellectual community, and strongly encourages applications from women and minority candidates. The Department seeks candidates who support our institutional commitment to ensuring that MIT is inclusive, equitable, and diverse. The deadline for this position is October 29, 2021.

    Apply online here: https://academicjobsonline.org/ajo/jobs/19256

    How to apply

    Application type         Online

    Instructions

    Applicants should submit cover letter, CV, three confidential letters of reference, and a sample of written work in area of specialization. Applications and supporting materials should be submitted online.

    Web address to apply https://academicjobsonline.org/ajo/jobs/19256

    Hard deadline Tomorrow, 11:59pm EST

     

    EECS Diversity, Equity and Inclusion (DEI) Program Director position

    DIVERSITY, EQUITY AND INCLUSION (DEI) PROGRAM DIRECTORElectrical Engineering and Computer Science (EECS), to create, execute, and manage full-scale DEI strategic and operational plans that meet the needs of MIT’s largest academic department.  EECS is comprised of three overlapping academic units and resides within the School of Engineering (SOE) and Schwarzman College of Computing (SCC).  Will design, lead, and manage the implementation and assessment of outreach and training activities and collaborate on developing and managing tools/resources and a range of solutions to advance an inclusive culture; recommend policy, identify resources, and play a lead role in implementing actions in consultation with faculty, students, and staff; and work with department leadership to ensure that programs are of high quality, informed by best practices, and align with MIT, SOE, SCC, and Vice President for Research office DEI strategic action plans.

    Job Requirements
    REQUIRED:  bachelor’s degree; seven years’ DEI program management experience; track record of leading DEI efforts in higher education; understanding of social justice, the dynamics of power and privilege, and social identities; evidence of taking strategic and tactical approaches to DEI and scaling projects to achieve maximum impact; experience with successful change and project management; experience working with and coordinating feedback from multiple stakeholders to create and execute DEI-related programs, events, and learning opportunities; knowledge and/or experience with fund-raising (especially writing proposals) for DEI programs/activities; knowledge of federal, state, and local laws/regulations/guidelines related to affirmative action and civil rights enforcement; knowledge of community organizing; ability to develop close working relationships with departmental leadership and others in DEI roles across MIT.  PREFERRED:  advanced degree with coursework in higher education administration, human resources, social justice, or cultural diversity.  Job #19706-11

    06/08/21

    MIT is an equal employment 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.

    MIT considers equivalent combinations of experience and education for certain jobs. All candidates who believe they possess equivalent experience and education are encouraged to apply.

     

    Please apply here. https://careers.peopleclick.com/careerscp/client_mit/external/jobDetails…

     

    EECS Lecturers

    LECTURERElectrical Engineering and Computer Science (EECS), to serve as a lecturer on discrete mathematics, algorithms, machine learning, artificial intelligence, or human-computer interaction.  This will include full-time participation in educational activities during the fall and spring terms and the January Independent Activities Period (IAP).  Responsibilities will include interacting with students (e.g., lecturing, leading recitations, staffing labs, holding office hours, and helping with undergraduate advising); creating course content such as lecture materials, problem sets, quizzes, videos, and other on-line materials; and carrying out administrative responsibilities (e.g., locating, hiring, and supervising course staff; record-keeping; interacting with staff in the department and Registrar’s Office); and other duties as assigned.  May participate in the creation/migration of courses onto MIT’s internet-based educational platforms, OCW and MITx. May also participate on departmental committees.  Course assignment will include some of the following and may include other related courses: Introduction to Machine Learning (6.036), Machine Learning (6.867), Introduction to Algorithms (6.006), Design and Analysis of Algorithms (6.046), Mathematics for ComputerScience (6.042). Research opportunities such as co-supervision of undergraduate or master’s projects may also arise.

    Job Requirements:

    REQUIRED: Ph.D. in topical area related to responsibilities, teaching experience in related undergraduate courses, and demonstrated interest in educational innovation.  Job #20184

    9/21/21

    PLEASE NOTE:  Application material should include a cover letter speaking to qualifications and preferred course assignments; a teaching statement specifying teaching beliefs and practices; a CV listing educational background, publications, talks, and other applicable experience; and two letters of recommendation from previous teaching experience(s).  Applicants must apply both via the MIT websit and at https://faculty-searches.mit.edu/eecs_lect/register.tcl.  The MIT application only allows for submission of a cover letter and resume/CV.  As a result, the teaching statement, CV, and letters need to be submitted as a single pdf as part of the resume field.

    This will be an academic year appointment.  The initial appointment will be for two years, with the potential for appointment extensions.

     

    MIT is an equal employment 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.

    MIT considers equivalent combinations of experience and education for certain jobs. All candidates who believe they possess equivalent experience and education are encouraged to apply.

     

    Please apply here. https://careers.peopleclick.com/careerscp/client_mit/external/jobDetails…

     

    EECS Lecturer/Digital Learning Lab (DLL) Fellow

    LECTURER/DIGITAL LEARNING LAB (DLL) FELLOW, Electrical Engineering and Computer Science (EECS), to teach and develop content for one or more existing EECS and DLL courses, sustaining the course(s) across the semester.  Will help to plan and coordinate the priorities/tasks necessary to meet deadlines as set by the overall plan and the successful production of online course offerings.  Full-time participation in educational activities during the fall and spring terms and the January Independent Activities Period (IAP) will also be expected.  Responsibilities will include interacting with students (e.g., lecturing, leading recitations, staffing labs, holding office hours, and helping with undergraduate advising); creating course content, e.g., lecture materials, problem sets, quizzes, videos, and other online materials; performing administrative responsibilities (e.g., locating/hiring/supervising course staff, record-keeping, and interacting with the Registrar’s Office); and participating in the creation/migration of courses onto MIT’s internet-based educational platforms (OCW and MITx). May also participate on departmental committees. Research opportunities such as cosupervision of undergraduate or master’s projects may also arise.  Course assignments will include some of the following and may include related courses: 6.0001/6.0002 Intro to CS/Programming in Python/Data Science; and 16.0002x Introduction to Computational Science and Engineering (online).

    Fellows benefit from additional mentorship from the Office of Digital Learning by participating in the Digital Learning Lab community and by collaborating in educational research with peer fellows and participation in regular DLL fellows meetings.

     

    Job Requirements:

    REQUIRED: Ph.D. in topical area related to responsibilities; teaching experience in related undergraduate courses; demonstrated interest in educational innovation; expertise with digital learning technology, including the Edx/MITx platforms; and good time management skills and experience in a project setting with firm deadlines.  Job #20179

    This is a career-track Lecturer position.  The initial appointment will be for two years, with the potential for appointment extensions.

     

    Application material should include a cover letter speaking to qualifications and preferred course assignments; a teaching statement specifying teaching beliefs and practices; a CV listing educational background, publications, talks, and other applicable experience; and two letters of recommendation from previous teaching experience(s).  The MIT application only allows for submission of a cover letter and resume/CV.  As a result, the teaching statement, CV, and letters need to be submitted as a single pdf as part of the resume field.

     

    9/20/21

    MIT is an equal employment 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.

    MIT considers equivalent combinations of experience and education for certain jobs. All candidates who believe they possess equivalent experience and education are encouraged to apply.

    Please apply here. https://careers.peopleclick.com/careerscp/client_mit/external/jobDetails…

    EECS Technical Instructor

    TECHNICAL INSTRUCTORElectrical Engineering and Computer Science (EECS), Overseeing and maintaining a comprehensive safety program that ensures a safe learning environment for all people using the EECS DTL Engineering Design Studio. Responsibilities include staffing DTL space on  Sunday and weekday evening hours (M-Th); providing assistances and consultation to  students and faculty in using electronic and mechanical assembly tools for projects associated with class exercises; providing guidance in debugging circuits, and in understanding issues and solutions; coordinating activities with other DTL staff to ensure smooth and safe operation of the teaching space throughout the extended teaching day; ensuring the readiness of the EECS DTL facilities for class activities through overseeing maintenance, stocking, and occasional equipment replacement; and other duties as needed.

    Job Requirements:

    Individuals should have at least an associates degree in a technical field plus 5 years of relevant hands-on educational or industrial experience or equivalent. The applicant should enjoy teaching undergraduate students one-on-one. Skills with electronics design, mechanical drawing, machining, printed-circuit-board manufacture, 3D printing, rapid prototyping, and facility management are all desirable. Applicant should be able to handle confidential information appropriately, and use discretion and judgment in handling complex teaching and personnel situations.  Applicant must be able to communicate productively with a variety of different people in diverse setting.

    MIT is an equal employment 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.

    MIT considers equivalent combinations of experience and education for certain jobs. All candidates who believe they possess equivalent experience and education are encouraged to apply.

    Please apply here: https://careers.peopleclick.com/careerscp/client_mit/external/jobDetails/jobDetail.html?jobPostId=21358&localeCode=en-us