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) in Cambridge, Massachusetts seeks candidates for faculty positions starting July 1, 2025, 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 offers supportive mentorship to junior faculty and a strong commitment to an inclusive, welcoming culture. 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. Employment is contingent upon the completion of a satisfactory background check, including possible verification of any finding of misconduct (or pending investigation) from prior employers.
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). 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, 2024. 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, 2024.
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. We value diversity and strongly encourage applications from individuals from all identities and background. 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, pregnancy, religion, disability, age, genetic information, veteran status, ancestry, or national or ethnic origin. See MITʼs full policy on Nondiscrimination (https://policies.mit.edu/policies-procedures/90-relations-and-responsibilities-within-mit-community/93-nondiscrimination). Know your rights.
Lecturer and Digital Learning Lead, Artificial Intelligence and Decision-Making (AI+D) MicroMasters program
Lecturer and Digital Learning Lead, Artificial Intelligence and Decision-Making (AI+D) MicroMasters program
Job Description
LECTURER AND DIGITAL LEARNING LEAD, ARTIFICIAL INTELLIGENCE AND DECISION-MAKING (AI+D), Electrical Engineering and Computer Science (EECS). The position oversees and leads the operation of the courses that comprise a new MIT online Artificial Intelligence and Decision-Making (AI+D) MicroMasters program. We are looking for candidates who share our passion for providing a quality online education in these extremely important and timely areas of study. This position both requires and benefits from involvement with other MIT faculty, staff, and researchers.
Responsibilities include:
- Helping to develop, revise, and manage the courses in the above-listed subjects.
- 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; planning and managing live exams using online proctoring technology.
- Leading both the 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.
- Conducting data analysis, proposing and helping implement course revisions and improvements, and supporting other educational and research activities as part of the MicroMasters team.
About the Artificial Intelligence and Decision-Making (AI+D) Micromasters
This MicroMasters provides a sound and practical grounding in courses including probability, statistics, optimization, game theory, machine learning (including deep and reinforcement learning), and their many multi-modal applications. It is intended for students (often in the workforce) with good software skills who hope to extend their capabilities into application areas requiring artificial intelligence and automated decision-making. Students who complete the program will receive a Certificate and be eligible to apply for additional in-person training that will enable them to receive an MIT Masters Degree.
Job Requirements
REQUIRED: Master’s degree in computer science or related field; some background in AI or data science; the proven ability and flexibility to adapt to a rapidly changing platform/environment; and an ability to deliver high-quality results while managing multiple priorities. The successful candidate will possess excellent organizational and management skills, a track record of working independently and collaboratively, a deadline-oriented attitude, attention to detail, excellent communication skills to conduct live webinars, and the ability to build strong working relationships with teammates, faculty, and staff.
PREFERRED: PhD in Computer Science, Statistics, Operations Research, Mathematics, or a related field. Proficiency in evaluating the effectiveness of learning materials and academic assessment. Strong problem-solving / debugging skills and working knowledge or familiarity with machine learning, deep learning, statistical software, and analytics tools to analyze big data sets. A demonstrated working knowledge of Python and other programming, statistical and AI 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 apply, candidates must submit a cover letter speaking to qualifications and preferred course assignments and a CV listing educational background, publications, talks, and other applicable experience. Applications will be considered until the position is filled.
Employment is contingent upon the completion of a satisfactory background check.
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
Lecturer, Theory of Computing
Job Description
LECTURER, THEORY OF COMPUTING (TOC), Electrical Engineering and Computer Science (EECS), to assume a position with a focus on introductory undergraduate theoretical computer science (algorithms and/or discrete math). Will be a full-time participant in educational activities during the fall and spring academic terms and Independent Activities Period (IAP). Responsibilities include interacting with students, e.g., lecturing, leading recitations, or staffing lab and office hours; creating content such as lecture materials, problem sets, quizzes, videos, and other on-line materials; carrying out administrative responsibilities such as locating, hiring, and supervising course staff, record-keeping, and interacting with the department and registrar; making curriculum revisions and improvements to the courses listed below; and performing other duties as assigned. May participate in the creation or migration of courses onto OpenCourseWare and/or MITx. Research opportunities may also arise such as co-supervision of undergraduate or master’s projects. Course assignments will include some of the following and may include other related courses: Introduction to Algorithms (6.1210), Design and Analysis of Algorithms (6.1220), Mathematics for Computer Science (6.1200 and 6.120A).
Job Requirements
REQUIRED: Ph.D. in topical area related to responsibilities, successful teaching experience in related undergraduate courses, and demonstrated interest in educational innovation. Job #24377
This is an academic year appointment. The initial appointment will be for two years, with the potential for extensions. The position start date could be as soon as January 15, 2025, though it may be negotiated.
In addition to applying via the MIT website, all applicants must also register with and submit all application materials to the EECS search website at https://faculty-searches.mit.edu/eecs_lect4/register.tcl. Application materials 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).
9/5/2024
Assistant Professor or Tenured Faculty Appointment, Department of Biology/Schwarzman College of Computing
Massachusetts Institute of Technology, Department of Biology
Position ID:
Position Title:
Assistant Professor or Tenured Faculty Appointment, Department of Biology/Schwarzman College of Computing
Position Type:
Tenured/Tenure-track faculty
Position Location:
Cambridge, Massachusetts 02139, United States [map]
Subject Areas:
Biology / Biochemistry, Computational biology, data science, Developmental Biology, Mathematical Modeling, Microbiology, Molecular/Cell Biology, Structural Biology, Systems biology
Appl Deadline:
2024/10/15 11:59PM (posted 2024/08/07, listed until 2024/12/13)
Position Description:
The Department of Biology together with the MIT Schwarzman College of Computing (SCC) at the Massachusetts Institute of Technology (MIT) located in Cambridge, Massachusetts, invites applications for a position in the area of computational, machine-learning, or generative AI approaches to biology at the level of a tenure-track Assistant Professor or tenured appointment, beginning July 1, 2025 or as soon thereafter as possible.
We seek candidates who are developing and using computational methods to address questions in molecular, cellular, or organismal biology. We especially welcome applicants focusing on fundamental biological mechanisms who are applying innovative computational or machine-learning approaches in discovery research. An M.D. or Ph.D. in biology, computational biology, systems biology, biomedical informatics, computer science (with a multi-year biology postdoc), or a similar discipline is required by the start of employment.
The successful candidate will have a shared appointment in the Department of Biology and the SCC, in either the Department of Electrical Engineering and Computer Science (EECS) or the Institute for Data, Systems, and Society (IDSS), depending on best fit. Tenure-track faculty are expected to develop and lead a vibrant, independent research program, play an active role in shaping the academic work and culture of both the Biology and the SCC research communities, and share our commitment to undergraduate and graduate education. Candidates for a tenured position should be recognized as international leaders in their field and have an outstanding record as educators. Duties include undergraduate and graduate teaching in both Biology and SCC educational programs on computational and machine-learning approaches to biology and related subjects, supervising graduate and undergraduate research, and mentoring trainees at all levels. Together with the SCC, MIT Biology is committed to fostering an equitable and inclusive environment that emphasizes mentoring and welcomes diverse backgrounds. The successful candidate will be provided with lab and office space, a generous start-up package, and access to state-of-the-art core facilities.
Applicants should submit: (a) a cover letter, (b) curriculum vitae, (c) summary of current and proposed research (≤ 5 pgs) and (d) a statement on teaching and mentoring philosophy (≤ 2 pg) that describes the candidate’s experience in these areas and/or how they envision contributing to Biology and the SCC’s efforts. Letters of recommendation should be sent separately from at least three individuals able to evaluate the candidate’s accomplishments and future potential.
Completed applications will begin to be considered on October 15, 2024.
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. Employment is contingent upon the completion of a satisfactory background check, including verifying any finding of misconduct (or pending investigation) from prior employers.
Application Materials Required:
Submit the following items online at this website to complete your application:
- Cover letter
- Curriculum Vitae
- Research statement
- Teaching statement
- Publication list
- Mentoring/Diversity/Outreach
- Three reference letters (to be submitted online by the reference writers on this site )
And anything else requested in the position description.
Further Info:
https://biology.mit.edu/ https://computing.mit.edu/
MIT Department of Biology
Attn: Biology Search Committee
77 Massachusetts Avenue, 68-132
Cambridge, MA 02139
Faculty Positions in the Department of Civil and Environmental Engineering and the Schwarzman College of Computing
The Department of Civil and Environmental at the Massachusetts Institute of Technology (MIT) together with the MIT Schwarzman College of Computing (SCC), located in Cambridge, MA, invites applications for a tenure-track faculty position at the interface of computing, environmental life sciences and ecology at the Assistant Professor level, beginning July 1, 2025 (for the 2025-26 academic year), or as soon thereafter as possible.
The Department of Civil and Environmental Engineering offers supportive mentorship to junior faculty, an exceptional environment for scientific inquiry, and a strong commitment to an inclusive, welcoming culture. A PhD degree in civil and environmental engineering, environmental science, earth science, applied mathematics, computing, or any other science or engineering or other relevant fields is required by the start of employment. We seek candidates who are developing and using modern computational and data-driven methods to address how environmental and climate changes will impact the biosphere, including plant and microbial traits or soil health, with implications for predicting the impact on food supply, ecosystem services, water resources or precision agriculture. We are also broadly interested in candidates who can make foundational contributions in computing together with ecology, including but not limited to ecological monitoring, forecasting and modeling, or collective behavior.
Other areas of interest include interface of AI/ML methods with whole-plant physiology, molecular genetics, ecology, and evolution. The successful candidate will have a shared appointment in both the Department of Civil and Environmental Engineering and SCC in either the Department of Electrical Engineering and Computer Science (EECS) or the Institute for Data, Systems, and Society (IDSS), depending on the best fit. Faculty duties include conducting original research, and teaching undergraduate and graduate courses in computing, environmental life sciences, ecology and related subjects, and mentoring graduate and undergraduate students. The normal teaching load is 2 subjects per year. Candidates are expected to teach in both the Department of Civil and Environmental Engineering and educational programs of SCC.
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, pregnancy, religion, disability, age, genetic information, veteran status, or national or ethnic origin. See MIT’s full policy on nondiscrimination. Employment is contingent upon the completion of a satisfactory background check, including verifying any finding of misconduct (or pending investigation) from prior employers.
We request that applications include: (a) curriculum vitae, (b) research statement no more than 5 pages (including references) (c) a teaching and mentoring plan of no more than 2 pages, and (d) three recommendations. Please submit online applications to https://school-of-engineering-faculty-search.mit.edu/cee-scc/register.tcl. To receive full consideration, completed applications must be submitted by December 1, 2024.
MIT is an Equal Opportunity employer. We value diversity and strongly encourage applications from individuals from all identities and background. 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, pregnancy, 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. Know your rights. Employment is contingent upon the completion of a satisfactory background check, including possible verification of any findings of misconduct (or pending investigations) from prior employers.
MIT is an Equal Opportunity/Affirmative Action employer.
Questions?
For general questions, technical issues, or problems submitting documents, please contact Search-Admin@faculty-searches.mit.edu.
Faculty Positions in the Department of Brain & Cognitive Sciences and the Schwarzman College of Computing
Massachusetts Institute of Technology, Department of Brain & Cognitive Sciences
(posted 2024/09/15, updated 2024/08/16, listed until 2024/11/30)
The Department of Brain and Cognitive Sciences offers supportive mentorship to junior faculty, an exceptional environment for scientific inquiry, and a strong commitment to an inclusive, welcoming culture. The successful candidate will have a shared appointment in both the Department of Brain and Cognitive Sciences and SCC in either the Department of Electrical Engineering and Computer Science (EECS) or the Institute for Data, Systems, and Society (IDSS), depending on best fit. Faculty duties include conducting original scholarly research, teaching courses at the graduate and undergraduate level, and mentoring students, in the subject areas described above. Candidates are expected to teach courses in both the Department of Brain and Cognitive Sciences and educational programs of SCC.
We request that applications include: (a) curriculum vitae, (b) research statement, (c) a teaching and mentoring plan, (d) broader impact statement, (e) up to five representative reprints and (f) three recommendations. The broader impact statement can cover topics including but not limited to service, contributions to the university community, or other means of supporting the educational environment. . BCS and its partners value rigorous and replicable science. Applicants are encouraged to describe how these values are reflected in their work to date and their future research plans. Please submit online applications to https://academicjobsonline.org/ajo/jobs/28085. To receive full consideration, completed applications must be submitted by midnight (EST) on November 15, 2024.
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. Employment is contingent upon the completion of a satisfactory background check, including verifying any finding of misconduct (or pending investigation) from prior employers.
Application Materials Required:
- Cover letter
- Curriculum Vitae
- Research statement
- Teaching statement
- Publication list
- Up to Five Representative Publications
- Broader Impact Statement
- Three reference letters (to be submitted online by the reference writers on this site )
Further Info:
Assistant Professor of Urban Planning, Computing, and Health of the Planet
Assistant Professor of Urban Planning, Computing, and Health of the Planet
Massachusetts Institute of Technology: School of Architecture and Planning: Department of Urban Studies and Planning
Location
Department of Urban Studies and Planning – Massachusetts Institute of Technology
Open Date
Oct 04, 2024
Deadline
Dec 15, 2024 at 11:59 PM Eastern Time
Description
The Department of Urban Studies and Planning (DUSP) together with the Schwarzman College of Computing (SCC) at the Massachusetts Institute of Technology (MIT), located in Cambridge, MA, invites applications for a tenure-track faculty position at the Assistant Professor level in the area of Urban Planning, Computation, and Health of the Planet, beginning July 1, 2025, or as soon thereafter as possible.
Over the past decade the Department of Urban Studies and Planning and the Department of Electrical Engineering and Computer Science (EECS) at MIT have developed a strong research and teaching agenda focused on understanding the role of information technologies, AI, data ethics and reciprocity, sensors, networks, and other computational tools in the planning and development of equitable urban environments. We have also developed new technologies and tools with community partners to model, envision, and communicate information about the city.
We seek candidates who can build upon and extend this agenda through teaching and research focused on the health of the planet – in particular the global climate crisis – and whose research involves the development and/or conceptually novel application of computational and/or data science methods. Areas of interest include decarbonization, urban and regional adaptation and resilience, environmental justice, energy and natural resource systems, participatory methods, and Indigenous knowledge. Successful candidates will apply innovative computational and machine learning approaches, including human-computer interaction (HCI), large-scale modeling and simulation (including computational ecology), and advanced sensing. The use of novel, computational, context-sensitive methods in meeting the needs of cities and communities, as well as in teaching and connecting to urban planning, design and/or policy are of utmost importance. We are particularly interested in candidates who center relationality with respect to land and water; sustainable, and racially and economically just approaches; and who combine theory, research, community engagement and/or professional practice. Candidates should also show demonstrated capabilities in interdisciplinary endeavors as well as to local, national, and international service.
Qualifications
Minimum Qualifications
A terminal degree in Urban Planning (M.C.P. or Ph.D.), Architecture (M. Arch. or Ph.D.), Landscape Architecture (M.L.A. or Ph.D.), or Ph.D. in Computer Science, Electrical Engineering, Urban Geography, Indigenous Community Planning, Atmospheric or Climate Science, Civil Engineering, Data Science and Ethics or a related field, is required by the start of employment. The successful candidate will have a shared appointment in both DUSP and the SCC in either the Institute for Data, Systems, and Society or the Department of Electrical Engineering and Computer Science, depending on best fit. Faculty duties include conducting original research, and teaching undergraduate and graduate courses in subjects related to urban planning and computing; advising and mentoring students. The normal teaching load is three subjects per year (2,1 or 1,2). Candidates are expected to teach in both DUSP and educational programs of SCC.
DUSP and the SCC seek candidates of the highest ability with the brightest futures, representing the diverse tapestry of the United States and our global community. We value unique perspectives and believe when we come together in the spirit of education, innovation, and discovery, our varied views and experiences build a stronger, more inclusive and enriching environment. We strongly encourage applications from individuals from all identities and backgrounds.
Application Instructions
Application Material
A complete application package includes (a) a cover letter, (b) curriculum vitae, (c) a statement outlining current and future research and teaching interests; and (d) the names, affiliations, and email addresses of at least three referees.
Review of applications will begin on November 1, 2024 and will continue until December 15, 2024.
Application Process
This institution is using Interfolio’s Faculty Search to conduct this search. Applicants to this position receive a free Dossier account and can send all application materials, including confidential letters of recommendation, free of charge.
Apply Now
Equal Employment Opportunity Statement
Massachusetts Institute of Technology 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.
Background Check Policy
Employment is contingent upon the completion of a satisfactory background check, including possible verification of any findings of misconduct (or pending investigations) from prior employers.
Faculty Positions in the Department of Economics and the Schwarzman College of Computing
Massachusetts Institute of Technology
The Department of Economics & The MIT Schwarzman College of Computing (SCC)
Assistant Professor of Economics and Computing
JOE ID Number: 2024-02_111474191
Date Posted: 08/28/2024
Position Title/Short Description
Title: Assistant Professor of Economics and Computing
Section: US: Full-Time Academic (Permanent, Tenure Track or Tenured)
Location: Cambridge, Massachusetts, UNITED STATES
JEL Classification: 00 — 00 – Default: Any Field
Keywords:
Assistant Professor
Assistant
Professor
Economics
Computing
Networks
Graduate Program
Tenure Track
Phd
Full Text of JOE Listing:
The Department of Economics together with the MIT Schwarzman College of Computing (SCC) at the Massachusetts Institute of Technology (MIT), located in Cambridge MA, invites applications for a faculty position in the area of Social, Economic, and Ethical Implications of Computing and Networks at the level of tenure-track Assistant Professor beginning July 1, 2025, or as soon thereafter as possible.
Rapid advances in computing are expected to have wide-ranging implications for myriad aspects of economic activity. As such, this search is intentionally broad: areas relevant for this search could include, but are not limited to, the implications of computing for labor markets, health, education, macroeconomics, development, industrial organization and innovation.
A PhD in Economics or a closely related field with a specialization in the social, economic, and/or ethical implications of computing and networks is strongly preferred by the start of employment, and with strong recommendations from graduate school faculty and established potential in research and teaching. The successful candidate will have a shared appointment in both the Department of Economics and the SCC, in either the Department of Electrical Engineering and Computer Science (EECS) or the Institute for Data, Systems, and Society (IDSS), depending on best fit.
Tenure-track faculty are expected to develop and lead a vibrant, independent research program, play an active role in shaping the academic work and culture of both the Economics and the SCC research communities, and share our commitment to undergraduate and graduate education. Candidates for a tenured position should be recognized as international leaders in their field and have an outstanding record as educators. Duties include undergraduate and graduate teaching in both Economics (0.75 subjects per term the first year and 1.25 subjects per term thereafter; after the first year) and SCC educational programs in related subjects (one subject per year), supervising graduate and undergraduate research, and mentoring trainees at all levels. Applications must be received by November 8, 2024. Virtual interviews will take place the week of December 16, 2024.
The Department of Economics and the SCC seek candidates of the highest ability with the brightest futures, representing the diverse tapestry of the United States and our global community. We value unique perspectives and believe when we come together in the spirit of education, innovation, and discovery, our varied views and experiences build a stronger more inclusive and enriching environment.
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, pregnancy, religion, disability, age, genetic information, veteran status, or national or ethnic origin. See MIT’s full policy on nondiscrimination. Employment is contingent upon the completion of a satisfactory background check, including verifying any finding of misconduct (or pending investigation) from prior employers.
We request that applications include: (a) Curriculum Vitae, (b) job market paper, and (c) three letters of recommendation via JOE Listings. To receive full consideration, completed applications must be submitted by November 8, 2024.
Employment is contingent upon the completion of a satisfactory background check.
Application Requirements:
Letters of Reference
Question and Answer
Job Market Paper
CV
Application deadline: 11/08/2024
Apply Now
Faculty Positions in the Department of History and the Schwarzman College of Computing
Massachusetts Institute of Technology, History Section
(posted 2024/09/24, listed until 2024/11/01)
The History Section of the Massachusetts Institute of Technology (MIT) located in Cambridge MA, together with the MIT Schwarzman College of Computing (SCC), invite applications for a faculty position at the intersection of history and computing. The appointment will be made at the level of tenure-track Assistant Professor beginning July 1, 2025 (for the 2025-2026 academic year), or as soon thereafter as possible. The History Section offers supportive mentorship to junior faculty, an exceptional environment for historical research and teaching, and a strong commitment to an inclusive, welcoming culture. A PhD in History or in a field relevant to History and Computing is required by the start of employment. We seek candidates whose research involves the history of computing and/or conceptually novel uses of computing and computational methods in the study of history. The candidate’s work should elicit significant engagement from faculty working at the forefront of computing. For candidates whose work focuses on the history of computing, areas of interest include artificial intelligence, the role of information technologies in the shaping of political orders, the development of legal norms and regulations for the computing industry, and the economic and financial implications and organization of computing in industrialized and/or developing nations. The successful candidate will have a shared appointment in both the History Section and SCC in either the Department of Electrical Engineering and Computer Science (EECS) or the Institute for Data, Systems, and Society (IDSS), depending on best fit. Faculty duties include conducting original research, teaching undergraduate and graduate courses in subjects related to history and computing; and advising students. The normal teaching load is 3 subjects per year. Candidates are expected to teach in both the History Section (which shares an interdisciplinary PhD program with MIT’s Anthropology and STS units) and the educational programs of SCC. 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, pregnancy, religion, disability, age, genetic information, veteran status, or national or ethnic origin. See MIT’s full policy on nondiscrimination. Employment is contingent upon the completion of a satisfactory background check, including verifying any finding of misconduct (or pending investigation) from prior employers. We request that applications include: (a) a cover letter; (b) a curriculum vitae, (c) a research statement (no more than four pages double-spaced), (d) a teaching and mentoring plan (no more than two to three pages double spaced); and (e) a writing sample of article- or chapter-length (approximately 30-40 double-spaced pages is ideal) illustrating how the candidate’s research speaks to the parameters of the search.
Candidates who advance to the initial interview stage of the search process will be contacted to provide three letters of recommendations and additional written materials.
Please submit online applications via Academic Jobs Online at this website. To receive full consideration, completed applications must be submitted by November 1, 2024.
Questions about this search can be addressed to Abigail Katz (ackatz@mit.edu) or Helena Martins (martins1@mit.edu).
Application Materials Required:
- Cover letter
- Curriculum Vitae
- Research statement
- Teaching statement
- Publication list
- Writing Sample or Sample Publication
Further Info:
Faculty Positions in the Sloan School of Management and the Schwarzman College of Computing
Tenure-Track Faculty Position
Massachusetts Institute of Technology: Sloan School of Management
Location
77 Massachusetts Ave., Cambridge, Massachusetts
Open Date
Oct 02, 2024
Description
Tenure-Track Faculty Position in
Social, Economic, and Ethical Implications of Computing and Networks
Massachusetts Institute of Technology (MIT), Cambridge, MA
Sloan School of Management and Schwarzman College of Computing
The Massachusetts Institute of Technology (MIT) Sloan School of Management and the MIT Schwarzman College of Computing (SCC) located in Cambridge, MA invite applications for a tenure-track faculty position at the Assistant Professor level in social, economic, and ethical implications of computing and networks, with specific focus on the Future of Work and the evolving interface between Artificial Intelligence (AI) and Human Interaction. The intended start date is July 1, 2025, or as soon thereafter as possible. We seek candidates whose research involves development and/or novel conceptual use of computational, statistical, and/or AI methodologies to address substantive questions at the frontier of AI and its interaction with human decision-making at individual, organizational, and/or societal levels.
Areas related to this search include but are not limited to: (1) AI in Human Decision-Making: dynamics of human-AI collaboration; issues of bias and fairness in AI-driven decisions; the impact of AI system transparency (or lack thereof) on trust and accountability. (2) AI and Collective Intelligence: role of AI in accelerating knowledge accumulation, integration of diverse expertise within team settings, and in exploring ways in which AI tools can enhance collaboration, collective intelligence, and innovation; (3) AI in Recruitment and Human Resources: examining AI’s influence on hiring, employee evaluation, and performance management; implications for reward allocation and well-being of organizational members; addressing bias, inequality, and learning challenges in organizational contexts.
The successful candidate will hold a shared appointment in the Sloan School of Management, ideally within the Work and Organization Studies (WOS) group (or in a different group within Sloan) and the SCC, within either the Department of Electrical Engineering and Computer Science (EECS) or the Institute of Data, Systems, and Society (IDSS). This position aligns with Sloan’s focus on The Future of Work and AI-Human Interaction, and SCC’s strategic area of Social, Economic, and Ethical Implications of Computing and Networks.
Faculty responsibilities include teaching courses at undergraduate and graduate levels in the areas of networks, organizations and computing, advising students, conducting research, and providing service to the institution and profession. The primary appointment will be in the Work and Organization Studies group, but candidates are expected to teach in both Sloan and educational programs of SCC.
Qualifications
Candidates must have a PhD in Computer Science, Management, Sociology, Economics, Operations Research, Information Science or a related field by the start of employment. Applicants should have strong computational or statistical skills and a commitment to research that brings together social sciences and computing.
Application Instructions
Application requirements: A cover letter, Curriculum Vitae, research statement (3-4 pages), teaching statement (1 page), and contact details for at least three references. Applicants should discuss how their work aligns with the position and how they would support Sloan and SCC programs. Recommendations should be submitted directly by the recommenders.
Applications received and completed (including recommendation letters) by November 4th, 2024 will be prioritized. Applications received and completed after November 4th could also be considered.
For more details, visit MIT Sloan and MIT SCC websites. Questions can be directed to the faculty search chairs Professor Ray Reagans (rreagans@mit.edu) and Professor Saurabh Amin (amins@mit.edu).
Application Process
This institution is using Interfolio’s Faculty Search to conduct this search. Applicants to this position receive a free Dossier account and can send all application materials, including confidential letters of recommendation, free of charge.
Apply Now
Equal Employment Opportunity Statement
Massachusetts Institute of Technology 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.
Background Check Policy
Employment is contingent upon the completion of a satisfactory background check, including possible verification of any findings of misconduct (or pending investigations) from prior employers.
EECS Director, Administration and Finance (DAF)
MIT Job Description
| Job Title: Mgmt 4, Admin & Operations, Acad | Position Title: Director, Administration and Finance |
| Department: Electrical Engineering and Computer Science | % Effort or Wkly Hrs: 100% effort |
| Reports to: EECS Department Head | Prepared by: SoE & SCC Dean’s Offices |
| Date: 5/17/24 | Pay Grade: 11 |
Position Overview:
The Electrical Engineering and Computer Science Department is the largest department at MIT, with over 2,000 undergraduates and graduate students enrolled in its academic programs. MIT EECS consistently ranks top by the U.S. News and World Report and is known globally for its world-class faculty, creating the best possible education, which is based on their innovative and award-winning research. Approximately 140 EECS faculty find their research homes in three major affiliate labs: the Computer Science and Artificial Intelligence Laboratory (CSAIL), the Laboratory for Information and Decision Systems (LIDS), and the Research Laboratory of Electronics (RLE). The nature of interdisciplinary and collaborative thinking demonstrated by EECS faculty members cuts across these labs, reaching across MIT and into industry and academia worldwide.
The EECS Director, Administration and Finance (DAF) provides a leadership role in setting financial, operation, and human resources strategy for EECS in the academic area(s). Represents EECS leadership on administrative matters. Provides counsel and support to department head, faculty, researchers, students and/ or staff on administration and policies. Ensures administrative objectives of the department are met and that the department is staffed appropriately to achieve its goals and mission. Ensures staff are trained, have access to tools to carry out their work, and promotes a collaborative, inclusive and respectful environment in which to work. Manages staff and ensures work is carried out in a way that meets deadlines and objectives. Performs other duties, as assigned.
Principal Duties and Responsibilities (Essential Functions**):
Operational Duties:
- Leads operations for EECS. Provides oversight for finance, human resources, student/faculty administration, educational technology, communications, facilities, space planning, event planning, special programs, industrial alliances, DEI, and other functions.
- Manages and develops strategic and operational plans and systems to ensure the department achieves its mission and goals.
- In partnership with the Senior Financial Officer (SFO), develop, implement, and monitor comprehensive financial strategies, budgets, and forecasts to support organizational goals and objectives. Conduct regular financial analysis to assess performance and identify areas for improvement.
- Oversee the preparation and distribution of accurate and timely financial reports, including endowment and other fund reports and variance analysis.
- Lead the annual budgeting process, in collaboration with the SFO and with department and faculty heads to develop realistic budgets aligned with strategic priorities. Monitor budget execution, analyze variances, and provide recommendations for corrective actions as needed.
- Develops new policies and procedures as needed for the department. Interprets, implements and ensures compliance with MIT policies and procedures. Guides departmental staff through modifications in policies and procedures, provides continued monitoring to assure effective implementation.
- Maintains knowledge of the legal environment and ensures the unit is in compliance with applicable laws governing administrative matters.
- Develops analyses and reports for collecting departmental information and ensures tracking of key department metrics.
- Develops operational plans with significant impact on group, function, or department.
- Accountable for the development, implementation and maintenance of plans, programs, projects, or systems in support of the group, function, or EECS strategy.
- Serves on and/or leads cross School/Area or EECS committees.
- Exchanges and conveys information with School/College/Area or EECS leadership. Represents EECS in interactions with stakeholders.
- Acts as a key constituent in departmental/lab administrative matters, builds strong and effective relationships with administrative counterparts (including other departments and EECS-affiliated labs).
- Drives consensus on complex matters involving diverse stakeholders where there may be varying points of view.
- Provides insight on departmental communications and media.
- Oversees key departmental programs and events collaboratively with the department head (including the Visiting Committee meeting, Thriving Stars, super UROP, etc.).
- Works closely with faculty leaders and education officers on both graduate and undergraduate affairs in the academic area(s).
Faculty Related Administrative Duties:
- Plans and administers support for faculty or research affairs such as faculty searches, visa paperwork, teaching/research assistant, allocations.
- Oversees faculty appointment processes, including tenure-track and non-tenure-track appointments, promotions, reappointments, retirements, and departures ensuring compliance with institutional policies and procedures.
- Together with SFO, works with the department head on the faculty annual salary review (Rank List 1) process. Updates files based on discussions and analysis. Submits report once finalized.
- Administer faculty leave policies, including sabbatical leaves, professional leaves, medical leaves, parental leaves, and other types of leave, ensuring compliance with institutional guidelines and supporting faculty members in navigating leave processes.
- Manages the Outside Professional Activity (OPA) report for EECS faculty and staff. Communicates areas of concern with the department head and addresses any concerns.
- Coordinate the nomination and selection processes for faculty awards and honors or chairs.
Staff Related Administrative Duties:
- Provide strong leadership to the team by setting clear expectations, fostering a positive work environment, and empowering team members to excel in their roles.
- Lead by example in promoting a positive and inclusive team culture characterized by respect, trust, and collaboration. Encourage behaviors that reinforce the organization’s core values and foster a sense of belonging among team members.
- Serve as a mentor and coach to team members, providing guidance, feedback, and support to help them achieve their professional goals and develop their skills.
- Actively foster a sense of camaraderie and collaboration among team members through team-building activities, regular team meetings, and open communication channels.
- Foster collaboration and partnerships with other departments or teams within the organization to achieve shared goals and enhance organizational effectiveness.
- Participate in the recruitment and hiring process, ensuring that new hires align with the team’s values and contribute to a diverse and inclusive workplace culture. Facilitate smooth onboarding experiences for new team members.
- Implement performance management processes, including goal setting, performance evaluations, and recognition programs, to motivate and engage team members and drive continuous improvement.
- Act as a mediator in resolving conflicts and addressing interpersonal issues within the team, fostering open dialogue and a supportive work environment.
- Together with the HR Administrator, evaluate and optimize departmental organizational structures to ensure alignment with strategic objectives, operational efficiency, and effective utilization of resources. Oversee the development of clear and comprehensive job descriptions that accurately reflect position requirements and organizational expectations.Oversee the replacement hiring process for vacant positions, ensuring timely and effective recruitment efforts to minimize disruptions to departmental operations and maintain.
- Provides managerial oversight or significantly influences the work of staff to accomplish operational plans.
- Oversees workforce planning for EECS.
- Provides administrative oversight for departmental events and functions.
- Oversee regular operational staff meetings, providing departmental staff information on key institute, school, college, and departmental administrative updates. Invite external speakers and participants when relevant.
- Oversees community building staff events.
- Create professional developmental opportunities for department staff. Encourage a culture of continuous learning and improvement within the team, soliciting feedback, implementing best practices, and adapting processes to optimize team performance and effectiveness.
- Works with EECS Communication Officer to develop the annual Report to the President, and other departmental communications (newsletters, Connector etc).
- Works with DEI administrator to develop and implement effective programming.
- Works with Leadership Giving Officer on gift proposals, stewardship, and accurate spending plans.
Space Related Administrative Duties:
- Develops comprehensive departmental CRSP reports: encompassing both annual reports and renovation updates, to provide clear insights into departmental space, renovation activities and progress.
- Oversee space allocation records: Manage and maintain accurate records of space allocation within the EECS, ensuring optimal utilization of space and compliance with departmental and Institute guidelines.
- Facilitate Onboarding of Faculty and staff: Coordinate the provision of necessary furniture, equipment, and resources for incoming faculty and staff members, facilitating a smooth transition into their roles at MIT.
- Engage with departing staff to ensure the return of MIT property.
Other Duties:
- Perform other duties as assigned.
Supervision:
Supervision received from EECS Department Head.
Qualifications & Skills:
REQUIRED: bachelor’s degree; at least seven years’ experience in an administrative/executive/management position; experience managing complex change and conflicting priorities; good judgment, diplomacy, and discretion with sensitive/confidential matters; strong leadership, supervisory, coaching, goal-setting, decision-making, problem-solving, analytical, organizational, project management, interpersonal, and written and oral communication skills; knowledge of financial and research administration in an academic/research environment with federal/corporate/foundation sponsors; proficiency with Microsoft Office products, financial and HR information systems, and database software; and experience recruiting, selecting, and supervising staff and with performance management and development. Must be able to prioritize, manage multiple conflicting and changing priorities, and meet deadlines; handle details while maintaining a view of the big picture; integrate new concepts, practices, guidelines, policies, and emerging technologies into strategic planning and new business methods; build and mentor strong teams and facilitate consensus; and collaborate effectively with faculty/staff/students.
PREFERRED: MIT experience; master’s degree in business, administration, or related field; experience with SAP, Brio Query/Cognos, COEUS, KC, Atlas, and Roles Database; and experience advancing department- and/or Institute-wide initiatives related to diversity, equity, and inclusion.
Apply through the MIT career site: https://hr.mit.edu/careers
** 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.
EECS Communication Lab Manager
Job Description
COMMUNICATION LAB MANAGER, Electrical Engineering and Computer Science (EECS), to work closely with the Communication Lab senior program manager and EECS education officer to achieve departmental goals and collaborate with the larger interdepartmental Communication Lab team. Will integrate Communication Lab resources into the EECS community and design and enhance initiatives to meet the community’s needs. The main responsibilities will be strategic planning and outreach, management of a team of communication fellows (graduate student and postdoc peer coaches), educational design and instruction for communication needs, and administration.
Communication Lab is a peer-coaching organization that helps students within the department learn to write, speak, and design visuals more effectively.
A full job description is available here.
Job Requirements
REQUIRED: bachelor’s degree, preferably in a STEM field (e.g., electrical engineering, computer science, or related science/engineering field); three years of experience in a STEM field, communications, and/or education; three years’ scientific communication training, coaching, and/or workshop leadership experience; excellent analytical, problem-solving, project management, interpersonal, visual design, and oral and written communication skills; experience with educational design of resources such as workshops and rubrics; ability to analyze data to inform decision-making and manage multiple long-term deadlines simultaneously; and keen attention to detail. Seek a team player who can interact effectively with faculty, students, and staff; create connections between people and organizations in order to optimize student support and departmental goals; and receive and give constructive feedback. PREFERRED: master’s or doctoral degree; ability to produce technical content (i.e., has published scientific manuscripts); supervisory experience, specifically with student workers; and experience at MIT. Job #24318-8
Hiring salary range: $75,000 – 90,000, depending on experience and internal equity.
Occasional evening and weekend work will be required.
Please note that the submission of a cover letter is required to apply for this position.
Employment is contingent upon the completion of a satisfactory background check.
8/14/24
Senior Administrative Assistant
Job Description
SENIOR ADMINISTRATIVE ASSISTANT, Electrical Engineering and Computer Science (EECS), to perform diverse and complex administrative responsibilities in direct support of the Computer Science (CS), Artificial Intelligence and Decision Making (AI+D) and/or Electrical Engineering (EE) Faculty Heads (FHs) by managing day-to-day operations of their respective offices; will serve as point of contact for all visitors, faculty, staff, students, and committee chairs and as liaison between Faculty Heads’ offices and MIT committees, collaborating institutions, and research centers; will work with different constituents in organizing departmental projects and functions, special events and group/committee meetings, including faculty and departmental retreats; will make complex domestic and international travel arrangements; will support faculty searches and annual reviews; will manage department email lists; will respond to inquiries related to policies and procedures.
Job Requirements
REQUIRED: high school diploma or equivalent; minimum of 5 years of administrative, office, or related experience, preferably in an academic environment; excellent communication and interpersonal skills, both over telephone and in person; robust organizational, administrative, and time-management skills, including multitasking while being detail-oriented; ability to prioritize and problem solve; adept customer service approach; experience with event and meeting planning, arranging travel, paying invoices, ordering supplies, updating websites, account reconciliations, and expense reimbursements; proficiency in FileMaker Pro, Photoshop, PowerPoint, web search engines and web edit tools such as WordPress; proficiency in Microsoft Office and G-Suite; ability to work independently and as a team member; ability to exercise discretion and diplomacy with confidential information; demonstrated record of punctual attendance. PREFERRED: bachelor’s degree and MIT experience; experience with SAP and SAPweb; experience managing or leading others. Job #24397-6
Work minimal nights and weekends, and overnight travel may be required (~10%).
This is a hybrid position and will work from campus four days per week during the academic year.
9/11/2024