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, 2024, 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. 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). 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, 2023. 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, 2023.
Send all materials not submitted on the website to:
Professor Asu Ozdaglar
Department Head, Electrical Engineering and Computer Science
Massachusetts Institute of Technology
Room 38-403
77 Massachusetts Avenue
Cambridge, MA 02139
MIT is an equal employment opportunity employer. All qualified applicants will receive consideration for employment and will not be discriminated against on the basis of race, color, sex, sexual orientation, gender identity, religion, disability, age, genetic information, veteran status, ancestry, or national or ethnic origin. MIT’s full policy on Nondiscrimination can be found at the following: https://policies.mit.edu/policies-procedures/90-relations-and-responsibilities-within-mit-community/92-nondiscrimination.
Assistant Professor/Associate Professor without Tenure (tenure track); shared faculty position with MIT Schwarzman College of Computing and Department of Architecture
Assistant Professor/Associate Professor without Tenure (tenure track)
Massachusetts Institute of Technology
Location
Open Date
Dec 12, 2023
Deadline
Description
The Department of Architecture, together with the Schwarzman College of Computing (SCC), at the Massachusetts Institute of Technology (MIT), Cambridge, Massachusetts invites applications for a tenure track faculty position (i.e. Assistant Professor or Associate Professor without Tenure) in the broad area of computing in materials and fabrication. We welcome candidates with a background in design who have experience in translating computational design theories and technologies into the realities of our physical environment, from the scale of objects to the scale of buildings, landscapes, or ecologies. Examples of research areas include, but are not limited to, computational materials, fabrication, construction processes, digital craft and indigenous practices, AI and machine learning in fabrication or material exploration, bio-design, environmental performance, and the social-cultural and ethical dimensions of digital making. The expected start date is July 1, 2024 or on a mutually agreed date thereafter.
Candidates should demonstrate evidence of commitment to their work at the highest level. This evidence may include works of research, scholarship, or design practice; it may include peer-reviewed papers in journals and conference proceedings, books or book chapters, community engagement projects, exhibitions/installations in culturally influential venues, impactful software, built prototypes, or professional work. The Department of Architecture and the SCC 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 demonstrate through past, current, or envisioned efforts the ability to support our institutional commitment to ensuring that MIT is inclusive, equitable, and diverse.
The successful candidate will have a shared appointment in both the Department of Architecture and the SCC in the Department of Electrical Engineering and Computer Science (EECS) or the Institute for Data, Systems, and Society (IDSS). Duties will include conducting original scholarly research within the area of computing in materials and fabrication, as well as classroom teaching and advising students within the Architecture department and SCC educational programs. In keeping with MIT’s culture of faculty self-governance and the Department of Architecture’s expectations of its faculty, the successful candidate is also expected to participate in the intellectual life and administrative functioning of the department. This faculty position will provide strategic linkages between the cultures of design and of computation. The candidate’s tenure home will be in the Department of Architecture, which will lead the promotion process with input from the SCC.
MIT’s Department of Architecture houses the first professional degree program in North America, and, more recently, provides global leadership at the intersection of design and research. To support this activity, its faculty are organized in a range of research and teaching groups; the candidate’s affiliation with one or more of these groups will depend on their specific area of focus. More information on the department and its organization is at architecture.mit.edu.
In 2025, the department will move to a newly renovated historic building on campus, containing new spaces and opportunities for design and making research, experimentation, community engagement, and teaching. This position is an opportunity to help shape the future of the department and its culture of research, fabrication, and computing at this important moment of transition. This new environment will also include a new institution, the Morningside Academy for Design (MAD) recently created at MIT to amplify and connect design across multiple disciplines and departments at the Institute. The successful candidate’s work and pedagogy should be able to contribute to this Institute-wide conversation on design.
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 supports programs such as computer science, artificial intelligence, data systems and society, and operations research, as well as helps 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, as well as facilitating new interdisciplinary computing activities.
Qualifications
Minimum Qualifications
Candidates should hold a terminal degree in architecture (M.Arch. or Ph.D.) or design (MFA, DDes or equivalent), or a Ph.D. in Computer Science, Data Science, Engineering, Applied Mathematics, or a related field by the beginning of employment. Candidates should have a record of research, scholarship, or design commensurate with the stage of their academic or professional career. Evidence may include peer-reviewed papers in journals and conference proceedings, books, community engagement projects, exhibitions in culturally influential venues, impactful software, built prototypes, or professional work. An ability to advance a teaching agenda and a commitment to mentoring, service and to building an equitable and diverse academic environment is essential.
Application Instructions
Interested applicants should submit:
● A statement of interest outlining the applicant’s interests and qualifications for the position, including major professional, research, pedagogical goals and achievements (maximum three pages)
● A statement on diversity, equity, inclusion, and belonging, including past and current contributions as well as vision and future plans in these areas. Applicants are encouraged to discuss approaches to fostering an inclusive environment including but not limited to teaching, mentoring, community outreach or engagement, and affirming diverse viewpoints (maximum one page).
● A curriculum vitae
● Names and affiliations of at least three current references with contact information (candidates will be alerted before references are contacted)
- A maximum 36-page, letter-sized portfolio of design, research, or scholarly work.
Please submit these materials to: http://apply.interfolio.com/137997
For technical issues, please contact Interfolio staff at 877-997-8807 or help@interfolio.com. The deadline for applications is January 31, 2024
Application Process
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.
Assistant Professor (tenure track); shared faculty position with AeroAstro and MIT Schwarzman College of Computing
The Massachusetts Institute of Technology (MIT) Department of Aeronautics and Astronautics and the MIT Schwarzman College of Computing invites applications for a tenure-track faculty position in computing for climate science and policy with a start date of July 1, 2024 or a mutually agreeable date thereafter. The successful candidate will apply computing to advancing climate science and policy. They may draw on areas including:
- Atmospheric science, atmospheric processes or other aspects of climate science
- Remote sensing (using satellites and drones)
- Data assimilation
- Decarbonizing air transportation
- Environmental policy, including related modeling
- Scientific machine learning and AI applied to environmental problems
The successful candidate will have a shared appointment in both the AeroAstro Department and SCC, in either the Department of Electrical Engineering and Computer Science (EECS) or the Institute for Data, Systems, and Society (IDSS). This faculty position aligns with the AeroAstro Department’s environmental monitoring and mitigation strategic thrust, the SCC’s Computing for Health of the Planet focus area, and the Institute’s Climate Action Plan. This search encourages applicants from a broad range of expertise, in particular, in the AeroAstro Department’s research areas of: Autonomous Systems & Decision-Making; Computational Science & Engineering; Earth & Space Sciences; Human-System Collaboration; Systems Design & Engineering; Transportation & Exploration.
Faculty duties include teaching courses in computing for climate science and policy and related subjects at the graduate and undergraduate levels (which will be split between the AeroAstro department and the Schwarzman College of Computing), advising and mentoring students, conducting original scholarly research, and service to the Institute and the profession.
Candidates should hold a doctoral degree in a field related to computing for climate science and policy by the beginning of employment. The search is for candidates to be hired at the assistant professor level.
Applications must include a cover letter, curriculum vitae, a research statement (≤5 pgs.), a statement of teaching interests and goals (~1 pg), as well as names and contact information of at least three individuals who will provide letters of recommendation. 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. Applicants should describe how their work will contribute to AeroAstro research areas (see above).
Further, teaching discussion should include how the applicant would support both AeroAstro and SCC academic programs. Applications must be submitted as a pdf at https://school-of-engineering-faculty-search.mit.edu/aeroastro/register.tcl. Letters of recommendation must be submitted directly by the recommenders, who should be directed to https://school-of-engineering-faculty-search.mit.edu/letters in order to submit their letters.
To ensure full consideration, complete applications should be received by 15 January 2024. Applications will be considered complete only when both the applicant materials and at least three letters of recommendations are received.
MIT is building a diverse faculty and strongly encourages applications from women and minority candidates.
For more information on the MIT Department of Aeronautics and Astronautics, please visit http://aeroastro.mit.edu/. Applicants may find reading our strategic plan helpful in preparing their application (https://aeroastro.mit.edu/about/strategic-plan). For more information on the MIT Schwarzman College of Computing, please visit https://computing.mit.edu/. Questions can be directed to the faculty search chairs Professor David Darmofal (darmofal@mit.edu) and Professor Saurabh Amin (amins@mit.edu). Additionally the department will hold a briefing and Q&A event on Dec 8 at 11am Eastern online for interested applicants to ask questions. (Please join at that time via Zoom at https://mit.zoom.us/j/92251023222).
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 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 Professor without Tenure (tenure-track); shared appointment in Media Arts and Sciences (MAS) and the MIT Schwarzman College of Computing (SCC)
Assistant Professor/Associate Professor without Tenure (tenure-track) AI and Human Experience
Massachusetts Institute of Technology: School of Architecture and Planning: Program in Media Arts and Sciences
Location
Open Date
Oct 27, 2023
Deadline
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. Examples of human experience research of interest include the design and evaluation of AI algorithms that adapt to individuals for improving both human experience and performance of the AI methods, the study of social, cultural, emotional and other outcomes of human-AI interaction, as well as the study of 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 undergraduate or graduate courses in AI and Human Experience or related topics, 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. Candidate’s teaching load will be split between MAS and educational programs of SCC, which include both graduate and undergraduate classes.
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 either media arts and sciences, computer science, electrical engineering, or a field related to AI and the Human Experience 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/mentoring statement (1-2 pages). In addition, candidates should provide a statement regarding approaches to fostering an inclusive environment such as in research, teaching, mentoring, community engagement, or affirming diverse points of view. 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 December 31, 2023. Applications will be considered complete only when both the applicant materials and at least three letters of recommendation are received.
Send all materials not submitted on the website to:
Program in Media Arts and Sciences Search Committee, Massachusetts Institute of Technology c/o search@media.mit.edu
Review of applications will begin immediately.
Employment is contingent upon the completion of a satisfactory background check, including verifying any finding of misconduct (or pending investigation) from prior employers.
To apply, please fill out the application at (https://apply.interfolio.com/135521)
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.
Associate or Full Professor in Music Technology and Computation (Tenured/Tenure-track)
Massachusetts Institute of Technology, Music and Theater Arts
| Position ID: | MIT–MTA–MUSTECH [#26445] |
| Position Title: | Associate or Full Professor in Music Technology and Computation (Tenured) |
| Position Type: | Tenured/Tenure-track faculty |
| Position Location: | Cambridge, Massachusetts 02139, United States [map] |
| Subject Area: | Music Technology |
| Appl Deadline: | 2024/01/02 11:59PM (posted 2023/11/13, updated 2023/10/30) |
| Position Description: | Apply |
| Description:
The Music and Theater Arts Section (MTA) at the Massachusetts Institute of Technology (MIT) together with the MIT Schwarzman College of Computing (SCC) in Cambridge, MA seeks applicants for a position in Music Technology and Computation at the level of tenured Associate or Full Professor beginning July 1, 2024, or at a mutually agreed date thereafter. We seek candidates who are leaders in research fields of computation and technology applied to music. Candidates should be investigating areas where computation and music are intertwined to make discoveries that would not be possible without a deep understanding of both disciplines. MIT recently approved the creation of a master’s degree program in Music Technology. The successful candidate will be intimately involved in the direction and growth of this program. 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 technology. MIT is committed to fostering an equitable and inclusive environment for a diverse faculty and academic community.
Areas of interest may include music information retrieval, computational approaches to music cognition and perception, music visualization and data sonification, human-computer interfaces for musical interaction, hardware systems and/or robotics for musical instruments, music and healthcare, algorithms for musical creativity, computational musicology, or music and AI. This listing is not exhaustive; researchers in related disciplines or emerging areas are welcome to apply. A doctorate in music technology, music, computer science, engineering, applied mathematics, cognition or neuroscience, or a closely related field is required. Candidates should have extensive musical training and experience in some aspect of music performance, composition, theory, musicology, or music production. Candidates should also have a current or recent position as associate professor, full professor, or equivalent status, and a distinguished record of research and teaching.
The successful candidate will have a shared appointment between MTA and SCC, and will join a growing cohort of faculty at MIT with a multidisciplinary focus. Faculty duties include conducting original research, teaching classes in music technology and computation in both MTA and SCC, advising at the undergraduate and graduate levels, and playing a leadership role in the design and administration of the new music technology graduate program. The normal teaching load is 3 subjects per year, but is reduced to 2 subjects per year for PIs who spend substantial effort running a lab and mentoring PhD students and postdocs. Faculty are expected to apply for outside grants to support their research group.
To apply for the position include (1) a cover letter (2–4 pages) that includes research accomplishments, future research directions, approaches to pedagogy, and fundraising accomplishments (2) Curriculum Vitae, (3) teaching reviews and/or evaluations and (4) a statement regarding your views on diversity, inclusion, and belonging, including past and current contributions as well as your vision and plans in these areas. Finalists for this position will be required to solicit three letters of recommendation. Application Deadline: 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
- Teaching Evaluations
- Statement on Diversity
And anything else requested in the position description.
Further Info:https://mta.mit.edu/ Massachusetts Institute of Technology
Music & Theater Arts
Cambridge, MA 02139-4037
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.
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.
Graduate Administrator
Job Description
GRADUATE ADMINISTRATOR, Electrical Engineering and Computer Science (EECS), to monitor the progress and performance of the graduate students in all aspects of their predoctoral (Master of Science) and doctoral programs. Will interact with graduate students and provide information and advice about the various stages and requirements of the EECS graduate degree programs; communicate the students’ progress to faculty and to the Registrar’s Office, MIT Office of Graduate Education, International Students Office (ISO), Student Financial Services (SFS), and other MIT administrative offices; and use numerous MIT-specific applications such as WebSIS, GAP, and the degree tracking and graduate education status portal used by the EECS department. Peak activity periods for this position are July and August (new graduate student orientation); January-March (admissions and visit days); and September, February, and May/June (registration/degree lists).
A job full description is available here.
Job Requirements
REQUIRED: bachelor’s degree; at least three years of educational administration-related experience; proficiency with Excel, Google Docs, WebSIS, Zoom, GAP, and WordPress (for some website editing); excellent interpersonal skills for interacting with a diverse group of professors, students, and campus-wide administrators; experience in an advising role; attention to detail; ability to prioritize projects and requests; strong organizational skills and comfort with multitasking; sound judgment and discretion with confidential and sensitive matters; and ability to supervise others. PREFERRED: master’s degree in higher education administration or counseling, MIT administrative experience, comfort taking initiative and leading groups, and an interest in building community. Job #23031-8
Occasional evening and weekend work will be required.
External candidates, please apply here: https://careers.peopleclick.com/careerscp/client_mit/external/jobDetails/jobDetail.html?jobPostId=28052&localeCode=en-us
Internal candidates, please apply here:
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.
8/3/23
Assistant Professor, Department of Biology/Schwarzman College of Computing
| Position ID: | MIT–Biology–BIOSCC [#26221] |
| Position Title: | Assistant Professor, 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: | (posted 2023/10/13, listed until 2023/12/31) |
| Position Description: | Apply |
| The Department of Biology together with the MIT Schwarzman College of Computing (SCC) at the Massachusetts Institute of Technology (Cambridge, Massachusetts) invites applications for a position in the area of computational or machine-learning approaches to biology at the level of a tenure-track Assistant Professor, beginning July 1, 2024 or as soon thereafter as possible.
We are interested in 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, or a related 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). 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. Duties include teaching both Biology and SCC-relevant courses in 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 is mindful of 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 cover letter, curriculum vitae, summary of current and proposed research (≤5 pgs), statement on teaching philosophy (~1 pg), and a statement on mentoring, diversity, and outreach (~2 pgs) that describes the candidate’s experience in these areas and/or how they envision contributing to Biology and the SCC’s ongoing 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 January 3rd.
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