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, 2023, 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, 2022. 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, 2022.

    Send all materials not submitted on the website to:

    Professor Asu Ozdaglar
    Department Head, Electrical Engineering and Computer ScienceMassachusetts 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-and-responsibilities-within-mit-community/92-nondiscrimination.

    Assistant Professor/Associate without Tenure (tenure track); Joint search between EECS and Broad Institute

    The Broad Institute (Cambridge, MA) and the Department of Electrical Engineering and Computer Science (EECS) at the Massachusetts Institute of Technology (Cambridge, Massachusetts) seek applicants for a tenure-track position at the Assistant or un-tenured Associate Professor level, effective July 1, 2023, or as soon as possible thereafterRank will be determined based on qualifications and experience. 

    We welcome outstanding applicants with research and teaching interests in any area of machine learning, artificial intelligence and/or statistics that could drive the frontier of biomedical research at any scale (proteins, cells, tissues or organisms). The successful candidate will be a faculty member in the Department of EECS at MIT and a Broad Core Institute Member.

    We believe 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. We seek candidates who support our institutional commitment to ensuring that the Broad Institute and MIT are inclusive, equitable, and diverse.

    Successful applicants are expected to share our commitment to undergraduate and graduate education by teaching courses and supervising graduate and undergraduate research, as well as develop and lead a vibrant, independent research program that would benefit from being in the Broad Institute environment.  

    Candidates are expected to have had formal graduate training and research focus in the computational sciences (e.g., as evidenced by their publication record), and hold a PhD (or equivalent terminal degree) in the field of computer or mathematical sciences, engineering (biological, chemical, etc.), or a related field by the start of employment.

    Complete applications should be received by January 1, 2023. Applications include a cover letter, curriculum vitae, research statement (2-4 pages), and teaching statement (1-2 pages).  In addition, candidates should provide a statement on diversity, inclusion, and belonging, including past and current contributions as well as their vision and plans for the future in these areas (1-2 pages). Application materials should be submitted to https://faculty-searches.mit.edu/bree/ 

    Completed application review will begin after January 1, 2023.

    MIT and Broad are equal employment opportunity employers.  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 here.

    Faculty (Theoretical Aspects of Quantum Computing); Shared search between Math Department and SCC

    Massachusetts Institute of Technology, Mathematics

    Position ID: MITFACQC [#20993]
    Position Title: Faculty (Theoretical Aspects of Quantum Computing)
    Position Type: Other
    Position Location: Cambridge, Massachusetts 02139-4307, United States [map]
    Subject Area: Mathematics
    Application Deadline: 2022/12/15 11:59PMhelp popup* (posted 2022/10/17, updated 2022/10/06)
    Position Description:   Apply    

     

    MASSACHUSETTS INSTITUTE OF TECHNOLOGYCAMBRIDGE MA

    DEPARTMENT OF MATHEMATICS and SCHWARZMAN COLLEGE OF COMPUTING 

    The Mathematics Department at the Massachusetts Institute of Technology (MIT) together with the MIT Schwarzman College of Computing (SCC) is seeking to fill one position in Theoretical Aspects of Quantum Computing at the level of tenure-track Assistant Professor beginning July 1, 2023 (for the 2023-2024 academic year, or as soon thereafter as possible). Specific topics of interest include quantum algorithms, quantum complexity theory, quantum information, and quantum cryptography. Appointments are based primarily on exceptional research qualifications. Appointees will be required to fulfill teaching duties and pursue their own research program. PhD in Mathematics, Computer Science, Physics, or related field required by employment start date.

    The successful candidate will have a shared appointment in both the Mathematics Department and SCC, in either the Department of Electrical Engineering and Computer Science (EECS) or the Institute for Data, Systems, and Society (IDSS). Faculty duties will include teaching, conducting original scholarly research, supervising and mentoring students, and playing an active role in shaping the academic work and cultures of both the Mathematics Department and SCC communities. Appointees are expected to teach in both the Mathematics Department and in educational programs of SCC.

    The Mathematics Department and SCC offer supportive mentorship to junior faculty, an exceptional environment for research, and a strong commitment to an inclusive, welcoming culture. 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.

    We request that applications and other materials, including (a) curriculum vitae, (b) research statement, (c) a broader impact statement, and (d) three letters of recommendation be submitted online at www.mathjobs.org. The broader impact statement can cover any of the following topics: teaching and other educational efforts, mentoring, outreach, efforts at increasing diversity, and/or other service to the community. It is highly recommended that one of the letters is written specifically to discuss your teaching abilities, experience and/or potential.

    Applications must be complete by December 15, 2022 to receive full consideration.

    MIT is an Equal Opportunity, Affirmative Action Employer.

    Application Materials Required:

    Submit the following items online at this website to complete your application:

    • Cover letter
    • Curriculum Vitae
    • Research statement
    • Publication list
    • Broader Impact Statement
    • Three reference letters (to be submitted online by the reference writers at this site help popup)
    And anything else requested in the position description.

    Further Info:

    math.mit.edu
    617-258-7186
    77 Massachusetts Avenue
    Building 2, Room 106
    Cambridge, MA 02139

    Assistant Professor (without tenure) — shared search between Architecture Department and SCC

    Assistant Professor (without tenure)

    Massachusetts Institute of Technology: School of Architecture and Planning: Department of Architecture

    Location

    Cambridge, MA

    Open Date

    Feb 08, 2022

    Deadline

    Dec 01, 2022 at 11:59 PM Eastern Time

    Description

    Faculty Position in Data and Design in the Department of Architecture and the Schwarzman College of Computing, Massachusetts Institute of Technology, Cambridge, MA

    The Massachusetts Institute of Technology Department of Architecture, together with the Schwarzman College of Computing (SCC) seeks candidates for a tenure-track faculty position in Data and Design to be hired at the Assistant Professor level to begin July 1, 2023 or on a mutually agreed date thereafter.

    The need for a sustainable built environment demands new tools and new approaches to design and visualization. We are seeking a new faculty member dedicated to design research efforts that leverage information, creative computation, and digital tools to create new approaches and impacts—from the scale of neighborhoods and communities, to the scale of the planet.

    The position is open to multiple interpretations of this challenge; these include design as an interface to information, new conceptions of the role of information in design processes and outcomes, the creation of intelligent design tools, speculative and creative computation, data-rich installations, visualization-as-animation, and critical approaches to spatialized visualization in the context of machine learning and artificial intelligence. We are interested in new modes of practice, and new approaches to the social, cultural and ethical aspects of design in a landscape of data and its application to design problems.

    At the Institute level, this position will contribute to larger conversations at MIT about the role of data and computing in creative thinking, culture, expression, and problem solving. Alongside colleagues at the intersection of computing and fields such as music and linguistics, the successful candidate will help reveal how data and computing can inform design, and also, crucially, how design thinking and culture can inform new approaches to computing. While candidates will be expected to situate themselves in a department concerned with the future of the planet and built environment, they may also situate themselves in one or more specific scales at which the department undertakes these efforts; from the design of objects, to landscapes, to physical architecture, which remains at the center of the department’s work.

    In addition to this context at the Institute level, this year MIT announced the creation of the MIT Morningside Academy for Design, a new academy which aims to foster collaboration and innovation on campus. The Academy will be housed in the School of Architecture and Planning, and it will create and administer academic and research programs across MIT, especially between the School of Architecture and Planning and the School of Engineering. Launching Fall 2022 it will be a major interdisciplinary center that will build on the Institute’s leadership in design-focused education and become a global hub for design research, thinking, and entrepreneurship. It will act as a center that will encourage design work at MIT to grow and cross disciplines among engineering, science, management, computing, architecture, urban planning, and the arts. The academy will strengthen MIT’s ongoing efforts to tackle pressing issues of global importance, such as climate adaptation, public health, transportation, civic engagement, and social justice.

    At the department level, the successful candidate will contribute to teaching in design programs at every level, with an emphasis on research-focused graduate work and undergraduate teaching in architecture and design. The successful candidate will show potential to develop courses that reach across disciplinary boundaries, as part of a larger, Institute-wide conversation on design, to which the Department of Architecture is a central contributor.

    Uniquely situated at the intellectual intersection(s) of the Department of Architecture and the SCC, this faculty position will provide strategic linkages between the cultures of architectural design and computation. While the candidate’s tenure process will be located primarily in Architecture, they will contribute actively to the growth and development of the SCC, including teaching courses that support shared SCC and Department goals, and working in service roles contributing across both communities as well. Above all, the successful candidate will be proactive in identifying opportunities for new forms of connectivity between the Department of Architecture and the SCC.

    One of MIT’s first departments, and home to the first professional program in Architecture in the US, the MIT Department of Architecture is dedicated to an equitable, sustainable, humanistic and technologically sophisticated vision of design and pedagogy. The academic structure of the department is unique in that each of its five disciplinary areas (1) Architecture + Urbanism, (2) History, Theory and Criticism, (3) Building Technology, (4) Art, Culture and Technology, and (5) Computation work at equal intensity across disciplinary boundaries to create an environment in which innovative research and scholarship fuse with the pedagogical agendas of ongoing design inquiries. The department also engages productively in research and education alliances with the other units in the School (the Department of Urban Studies and Planning, the Media Lab / Program in Media Arts and Sciences, the Program in Art, Culture and Technology, the Center for Real Estate, and Leventhal Center for Advanced Urbanism). Given this context, the department is explicitly committed to excellence in both pedagogical and research activities.

    The SCC is a college that works across all five of MIT’s existing schools. The college is designed to lead in computing education and research across a wide range of disciplines, as well as in computer science, AI, and related fields. The SCC both brings together existing MIT programs in computing and develops new cross-cutting educational and research programs. For existing programs, the college facilitates coordination and manages growth in areas such as computer science, artificial intelligence, data systems and society, and operations research, as well as helps to strengthen interdisciplinary computing programs such as computational science and engineering. For new areas, the college is creating platforms for the study and practice of social and ethical responsibilities of computing, for multi-departmental computing education, and for incubating new interdisciplinary computing activities.

    The Department of Architecture and the Schwarzman College of Computing (SCC) are committed to fostering interdisciplinary design work and 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. The successful candidate will have a shared appointment in both the Department of Architecture and the SCC, in either the Department of Electrical Engineering and Computer Science (EECS) or the Institute for Data, Systems, and Society (IDSS), with teaching duties within Architecture and SCC, including the Institute-wide Common Grounds initiative in computing education. We seek candidates who will provide inspiration and leadership in design and/or research, and contribute proactively to all levels of teaching in the Department of Architecture and the SCC. The ability to contribute to undergraduate as well as graduate coursework will be a major criterion in the search.

    The candidate is expected to participate in the intellectual life of the Institute, and the ability and readiness to teach and develop pedagogical initiatives that transcend disciplinary boundaries. Faculty duties include teaching courses, advising students, and conducting original scholarly research and/or contributing to the disciplines via professional practice.

    Candidates are expected to hold an advanced degree in Architecture, Design, or Art/ Media Studies (at the Master’s or Ph.D. level) or a Ph.D. in Computer Science, Data Science, Engineering, Physics, or Applied Mathematics or a similar discipline by the beginning of employment. The committee is particularly interested in candidates whose education and understanding demonstrates the ability to engage across these disciplines.

    MIT is an affirmative action/equal 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 ethnic origin. The Department of Architecture continues to develop its diverse communities of teachers and scholars, and strongly encourage applications from women, veterans, individuals with disabilities, and/or members of under-represented groups.

    Qualifications

    Candidates are expected to hold an advanced degree in Architecture, Design, or Art/ Media Studies (at the Master’s or Ph.D. level) or a Ph.D. in Computer Science, Data Science, Engineering, Physics, or Applied Mathematics or a similar discipline by the beginning of employment. The committee is particularly interested in candidates whose education and understanding demonstrates the ability to engage across these disciplines.

    Application Instructions

    Interested applicants should submit: a statement of interest outlining their interests and qualifications for the position, including major professional, research, pedagogical goals and achievements. We also request a statement on diversity, equity, inclusion, and belonging, including past and current contributions as well as vision and plans for the future in these areas. Applicants are encouraged to discuss approaches to fostering an inclusive environment including but not limited to teaching, mentoring, and affirming diverse viewpoints. We request a curriculum vitae; three current references with contact information; and a maximum 36 page, letter-sized portfolio of design, research or scholarly work. Review of applicants will begin November 7th, 2022. Please submit materials to: apply.interfolio.com/101574 . For technical issues, please contact Interfolio staff at 877-997-8807 or help@interfolio.com/101574. MIT is committed to building a culturally diverse educational environment; women and minorities are strongly encouraged to apply. EOE.

    Applications will be accepted only online through the Interfolio website at apply.interfolio.com/101574. Materials must be submitted as PDFs in standard US letter size 8-1/ x 11 inches and include: letter of intent, curriculum vitae, one-page statement on research, one-page statement on teaching, selective portfolio of work up to 36 pages, names and complete contact information for three references. We also request a statement on diversity, equity, inclusion, and belonging, including past and current contributions as well as vision and plans for the future in these areas. Applicants are encouraged to discuss approaches to fostering an inclusive environment

    Equal Employment Opportunity Statement

    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 here.

    Shared search: Program in Media Arts and Sciences (MAS) and the MIT Schwarzman College of Computing (SCC)

    Assistant Professor/Associate without Tenure (tenure track): Artificial Intelligence (AI) and Human Experience
    Massachusetts Institute of Technology: School of Architecture and Planning: Program in Media Arts and Sciences
    Location
    MIT Media Lab, Cambridge, Massachusetts
    Open Date
    Sep 19, 2022

    Deadline
    Nov 15, 2022 at 11:59 PM Eastern Time
    Description
    The Program in Media Arts and Sciences (MAS) and the MIT Schwarzman College of Computing (SCC) at the Massachusetts Institute of Technology (MIT) Cambridge, Massachusetts invite applications for a faculty position in the area of “Artificial Intelligence (AI) and Human Experience.” We welcome outstanding applicants with research and teaching interests who have demonstrated innovation in AI algorithm and tool development together with excellence in evaluating and shaping human experience using AI systems. Human experience research is expected to include the objective measurement of social-emotional data during human-computer interaction, the design and evaluation of AI algorithms that adapt to individuals for improving both human experience and performance of the AI methods, as well as addressing of related ethics and alignment aspects. MAS and SCC believe 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. We seek candidates who support our institutional commitment to ensuring that MIT is inclusive, equitable, and diverse. The appointment will be at the assistant or untenured associate professor level.

    The successful candidate will have a shared appointment in both MAS and also SCC, in either the Department of Electrical Engineering and Computer Science (EECS) or the Institute for Data, Systems, and Society (IDSS). Faculty duties will include classroom teaching in topics related to AI and Human Experience, conducting original scholarly research, supervising and mentoring students, and playing an active role in shaping the academic work and cultures of both the MAS and SCC research communities. Candidates are expected to teach in both MAS and SCC-relevant curricula, which include both graduate and undergraduate classes.

    The appointment will be at the assistant or untenured associate professor level.

    Qualifications

    Candidates should have a strong record of research, a willingness to take risks, a desire to look beyond traditional disciplines, and a dedication to making a difference in the world. Applicants should hold a doctoral degree in media arts and sciences, computer science, electrical engineering, a field related to AI and the Human Experience or a related field by the start of employment, and should have a track record of authoring or co-authoring peer-reviewed publications in AI and human experience at the time of application.

    Application Instructions

    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 via the application website or by mailing to the address below. Complete applications should be received by November 15, 2022. Applications will be considered complete only when both the applicant materials and at least three letters of recommendation are received.

    Equal Employment Opportunity Statement

    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 here.

    Shared search: faculty positions in Computing for the Health of the Planet between Schwarzman College of Computing and the Department of Earth, Atmospheric, and Planetary Sciences

    Position ID: MITEAPSEAPS_SCC [#23023]
    Position Title: Assistant Professor
    Position Type: Tenured/Tenure-track faculty
    Position Location: Cambridge, Massachusetts 02139, United States [map]
    Subject Areas: Atmospheric Science
    Oceanography
    Climate
    Earth and Environmental Sciences / Earth science
    Appl Deadline: 2022/12/01=8 11:59PMhelp popup (posted 2022/09/29)
    Position Description:   Apply    

     

    The Department of Earth, Atmospheric and Planetary Sciences (EAPS) and the MIT Schwarzman College of Computing (SCC) at the Massachusetts Institute of Technology (MIT) Cambridge, Massachusetts, invite applications for a faculty position in the broad area of “Health of the Planet”. We seek candidates committed to advancing our understanding of processes that affect the Earth and its habitability, particularly through using and/or developing innovative computational and/or inference methods. Areas of scientific interest include but are not limited to climate, the environment, and natural hazards. Our intent is to hire at the tenure-track assistant professor level, but senior appointments may be considered in special cases, commensurate with experience. Faculty duties include conducting original scholarly research and teaching and mentoring at the graduate and undergraduate levels. Candidates are expected to teach in EAPS and in educational programs of SCC.

    EAPS is an academic community of approximately 40 faculty, 100 research staff (including postdocs), and 180 students, who study integrated aspects of Earth and planetary sciences, including through partnership with the MIT-Woods Hole Oceanographic Institute (WHOI) Joint Program. The successful candidate will have a shared appointment in EAPS and SCC –- and within SCC, either in the Department of Electrical Engineering and Computer Science (EECS) or the Institute for Data, Systems, and Society (IDSS). EAPS and SCC are committed to academic excellence and to fostering an equitable and inclusive environment for a diverse faculty and academic community. We seek outstanding scientists who have the potential for innovation and leadership in research, bring strong commitment to teaching and mentoring undergraduate and graduate students, and share our Principles of Community.

    A complete application should include (1) a cover letter; (2) curriculum vitae, (3) 1-3 page summary of current and future research directions; (4) 1-3 page description of teaching and mentoring experience and/or future plans, including contributions to fostering diversity, equity, and belonging and (5) at least three letters of recommendation.

    A Ph.D. in Earth or other natural sciences, applied mathematics, computer science, or a related field is required by the start of employment.

    Applications should be submitted by no later than December 8, 2022 for full consideration.

    Search Contact: Ms. Karen Fosher, HR Administrator, EAPS, 54-924 Massachusetts Institute of Technology, 77 Massachusetts Avenue, Cambridge, MA 02139-4307, email: kfosher@mit.edu 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 here.

     

    Application Materials Required:

    Submit the following items online at this website to complete your application:

    • Cover letter
    • Curriculum Vitae
    • Research statement
    • Teaching and DEI Statement
    • Three reference letters (to be submitted online by the reference writers at this site help popup)
    And anything else requested in the position description.

    Further Info:

    https://eapsweb.mit.edu/
    email
    617-253-2132
    Massachusetts Institute of Technology
    EAPS, 54-924
    77 Massachusetts Avenue
    Cambridge MA 02139-4307

    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.

     

    Faculty: shared search between SCC and Music and Theater Arts

    Massachusetts Institute of Technology, Music and Theater Arts

    876 23552

    Position ID: MITMTAMUSICTECH [#23552]
    Position Title: Assistant Professor in Music Technology and Computation
    Position Type: Tenured/Tenure-track faculty
    Position Location: Cambridge, Massachusetts 02139, United States [map]
    Subject Area: Music Technology
    Appl Deadline: 2022/12/15 11:59PMhelp popup (posted 2022/11/02)
    Position Description:   Apply    

     

    Position: Assistant Professor in Music Technology and Computation (Tenure Track)
    Description: The Music and Theater Arts Section (MTA) at the Massachusetts Institute of Technology (MIT) together with the MIT Schwarzman College of Computing (SCC) seeks applicants for a position in Music Technology and Computation at the level of tenure-track Assistant Professor beginning July 1, 2023 (for the 2023–24 academic year, or as soon as possible thereafter).
    Music Technology and Computation are rapidly growing areas of interest at MIT, with new degree programs being considered. This search is one of several anticipated hires in the near term, with the goal of creating a cohort of faculty at the intersection of music and computation. Over 1,000 students enroll in music classes each year at MIT and several cross-disciplinary classes that require advanced knowledge of both computation and music already exist. Together with the SCC, Music at MIT is committed to fostering an equitable and inclusive environment, including diversity in our topics of research, musical genres engaged with, and in the faculty appointed.
    Qualifications: A doctorate in music technology, music, computer science, engineering, applied mathematics, cognition or neuroscience, or a closely related field is required by the start of appointment. We seek candidates whose research involves serious engagement with questions in computation and technology applied to music. Candidates should be investigating areas where both computation and music are intertwined to make discoveries that would not be possible without deep understanding of the conceptual issues and techniques of both disciplines with a potential to create new knowledge in one of music technology, music (generally), or computation. Our intent is to hire at the tenure-track assistant professor level, but more senior appointments may be considered in special cases, commensurate with experience.
    Areas of interest include music information retrieval (audio or symbolic), computational approaches to music cognition or perception, human-computer interfaces in music or musical instruments, software and/or algorithms for musical creativity or creation, computation in traditional music research, music and AI/Machine learning, or visualization of music. This listing of areas merely gives suggestions; the search welcomes disciplines not listed, including those that are emerging or not always considered part of music technology.
    Duties: The successful candidate will have a shared appointment in both MTA and also SCC, in either the Department of Electrical Engineering and Computer Science (EECS) or the Institute for Data, Systems, and Society (IDSS). MTA and SCC are committed to academic excellence and to fostering an equitable and inclusive environment for a diverse faculty and academic community. Faculty duties include conducting original research, teaching classes, and mentoring at the undergraduate and graduate levels. The normal teaching load is 3 subjects per year (2+1 or 1+2). Candidates are expected to teach in both MTA and educational programs of SCC. Faculty should be prepared to apply for outside grants to grow research in their field.
    Starting Date: July 1, 2023
    Required Materials: 1) Cover letter (1–3 pages), including current and future research directions; 2) Curriculum Vitae; 3) a statement describing teaching experience and plans for teaching, including information on how you have already or will in the future foster diversity, equity, and inclusion in your work, and 4) two letters of recommendation (a third letter may be solicited further in the search).
    Application Deadline: Applications must be complete by December 15, 2022, to receive full consideration.

    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 here.

    Application Materials Required:

    Submit the following items online at this website to complete your application:

    • Cover letter
    • Curriculum Vitae
    • Teaching statement
    • Two reference letters (to be submitted online by the reference writers at this site help popup)
    And anything else requested in the position description.

    Further Info:

    https://mta.mit.edu/music
    email
    (617) 253-3210
    Massachusetts Institute of Technology
    Music & Theater Arts
    Cambridge, MA 02139-4037

    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

     

    Shared search: faculty position, shared with Department of Earth, Atmospheric and Planetary Sciences (EAPS) and either Department of Electrical Engineering and Computer Science (EECS) OR the Institute for Data, Systems, and Society (IDSS)

    Massachusetts Institute of Technology, Earth, Atmospheric & Planetary Sciences

    Position ID: MITEAPSEAPS_SCC [#20816]
    Position Title: Assistant Professor
    Position Type: Tenured/Tenure-track faculty
    Position Location: Cambridge, Massachusetts 02139, United States [map]
    Subject Areas: Atmospheric Science
    Oceanography
    Climate
    Earth and Environmental Sciences / Earth science
    Appl Deadline: 2022/01/31 11:59PMhelp popup (posted 2021/12/15)
    Position Description:   Apply    

     

    The Department of Earth, Atmospheric and Planetary Sciences (EAPS) and the MIT Schwarzman College of Computing (SCC) at the Massachusetts Institute of Technology (MIT) Cambridge, Massachusetts invite applications for a faculty position in the broad area of “Health of the planet”. We seek candidates who study and understand processes that affect the Earth and its habitability using or developing innovative computational and/or inference methods. Areas of interest in Earth, atmospheric and oceanic science include, but are not limited to, climate, the environment and natural hazards. Our intent is to hire at the tenure-track assistant professor level, but more senior appointments may be considered in special cases, commensurate with experience. Faculty duties include conducting original scholarly research, and teaching and mentoring at the graduate and undergraduate levels. Candidates should be capable of instructing in EAPS core educational and SCC-relevant curricula.EAPS is an academic community of approximately 40 faculty, 100 research staff (including postdocs), and 180 students, who study integrated aspects of Earth and planetary sciences, including through partnership with the MIT-WHOI Joint Program. The successful candidate would have a shared appointment in both EAPS and also the Schwarzman College of Computing, in either the Department of Electrical Engineering and Computer Science (EECS) or the Institute for Data, Systems, and Society (IDSS). Together with the Schwarzman College of Computing, we are committed to academic excellence and to fostering an equitable and inclusive environment and increasing diversity in our faculty. We seek outstanding scientists who have the potential for innovation and leadership in research, bring strong commitment to teaching and mentoring undergraduate and graduate students, and share the Principles of our Community.

    A complete application includes a (1) cover letter, (2) Curriculum Vitae, (3) 1-3 page summary of current and future research directions, (4) 1-3 page statement describing teaching and mentoring experience and/or future plans, including a statement about the applicant’s experience with and future commitments toward efforts which support diversity, equity, and belonging, approaches to fostering an inclusive environment, including but not limited to teaching, mentoring and affirming diverse viewpoints, and (5) three letters of recommendation.

    A Ph.D. in Earth, Atmospheric and Planetary Sciences, Computer Science, or a similar discipline is required by the start of employment.

    Search Contact: Ms. Karen Fosher, HR Administrator, EAPS, 54-924 Massachusetts Institute of Technology, 77 Massachusetts Avenue, Cambridge, MA 02139-4307, email: kfosher@mit.edu

    Review of applications will begin on January 31, 2022. 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 here.

    Application Materials Required:

    Submit the following items online at this website to complete your application:

    • Cover letter
    • Curriculum Vitae
    • Research statement
    • Teaching and DEI Statement
    • Three reference letters (to be submitted online by the reference writers at this site help popup)
    And anything else requested in the position description.

    Further Info:

    https://eapsweb.mit.edu/
    Karen Fosher ( kfosher@mit.edu )
    617-253-2132
    Massachusetts Institute of Technology
    EAPS, 54-924
    77 Massachusetts Avenue
    Cambridge MA 02139-4307

    Digital Learning Lab Fellow – AI+DM MicroMasters (Lecturer Non-Faculty)

    Digital Learning Lab Fellow – AI+DM MicroMasters
    (Lecturer non-faculty)
    Department of Electrical Engineering & Computer Science

    Position Overview:

    The position oversees and leads the running of one or more of the Artificial Intelligence and Decision-Making (AI+DM) courses that comprise the MicroMasters program. Responsibilities include: contributing to the development, revamping and management of courses that comprise the MicroMasters Program in AI+DM (these courses span probability, statistical data analysis, machine learning, optimization, game theory, and computer vision) managing course materials and related content; designing, building, and optimizing learner assessment tools such as problem sets and exams; overseeing and managing live courses, including key aspects of learner communication, performance tracking, and online exam administration; leading teaching assistants and community teaching assistants to facilitate instructive and productive discussions in live course forums; organizing and running online webinars connected to MicroMasters contents and planning and managing live exams using online proctoring technology. Conducting data analysis, propose course improvements, and support other educational and research activities as part of the MicroMasters team. We are looking for candidates who share our passion for advancing knowledge through massive, open, and online education. Involves working closely with MIT staff, researchers and faculty.

    Principal Duties and Responsibilities (Essential Functions**):
    Course and Program design for the MicroMasters (35%)
    • Work with faculty director to design and finalize program structure
    • Work with course faculty (and OL learning engineer) to decide on course structure for the online platform, types of videos, educational exercises, and assessments etc.
    • Find and recommend digital learning solutions as needed
    • Support the faculty in the development of the online version of the courses as needed

    Lead and manage the production teams for all courses in MM, to ensure each course is on time and within budget (35%)
    • Assemble course production team for each course, with course faculty approval
    • Decide on phases of production of all the courses
    • Decide on tasks and timeline for team members in each team
    • Facilitate and manage video production for course faculty, with help from MITx
    • Other responsibilities as needed

    Generate content and ensure quality of courses (20%)
    • Train course team for content generation for edX
    • Contribute in content as needed
    • Review work by production team and facilitate review with faculty
    .
    Work and communicate with MITx/OL on both course and program level issues (10%)
    • Collaboration around marketing, MM portal maintenance, etc., and facilitate communication between MITx/OL and course faculty and faculty director.
    • Participation in Digital Learning Lab initiatives and attending cross-departmental Digital Learning Lab meetings.

    Supervision Received:
    Will report to the Denny Freeman, Education Officer, Chair
    Supervision Exercised:
    Program Coordinator

    Qualifications & Skills:
    • A master’s degree in engineering or related field.
    • Excellent organizational and management skills; track-record of working both independently and collaboratively; deadline-oriented attitude; attention to detail; flexibility and ability to adapt to a rapidly changing platform/environment; and an ability to deliver high quality results while managing multiple priorities.
    • Excellent communication skills to conduct live webinars and the ability to build strong working relationships with teammates, faculty, and staff.

    PREFERRED EDUCATION AND EXPERIENCE:
    • PhD in Computer Science, Statistics, or related field.
    • Proficiency evaluating the effectiveness of learning materials and academic assessment.
    • Strong problem-solving / debugging skills and working knowledge or familiarity with statistical software and analytics tools to analyze big data sets.
    • A demonstrated working knowledge of Python.
    • Proficiency in BigQuery, and Web-based tools.
    • Experience with HTML and LaTeX.
    • Minimum one year of relevant experience in online or higher education.
    • An interest in educational technology, digital teaching and learning in higher education, production of educational content, academic assessment methodologies, and the delivery and management of online educational programs.

    ** To comply with regulations by the American with Disabilities Act (ADA), the principal duties in job descriptions must be essential to the job. To identify essential functions, focus on the purpose and the result of the duties rather than the manner in which they are performed. The following definition applies: a job function is essential if removal of that function would fundamentally change the job.