American Association of Blacks in Higher Education
Tenure-Track Faculty Position
American Association of Blacks in Higher Education, Cambridge, Massachusetts, us, 02140
Tenure-Track Faculty Position
Job Description and Minimum Qualifications:
The Department of Materials Science and Engineering (DMSE) together with the Schwarzman College of Computing (SCC) at MIT in Cambridge, MA seeks candidates at the level of tenure-track Assistant Professor to begin July 1, 2026 or on a mutually agreed date thereafter.
Materials engineering has always benefited from theoretical and computational approaches to unveil relationships between structure, properties, processing, and performance. Recent advances in computing, including but not limited to artificial intelligence, are poised to dramatically advance the understanding and design of complex matter. DMSE and SCC jointly seek candidates with experience and interest in combining fundamental scientific principles with algorithmic innovations to empower discovery, understanding, and synthesis of materials with applications across critical societal domains – healthcare, manufacturing, energy, sustainability, climate, and next-generation computing. This search encompasses all materials classes and scales, and is open to candidates with industry and start‑up experience. Candidates are expected to develop research programs that target innovation in computational approaches well‑suited to materials science and engineering research.
The successful candidate will have a shared appointment in both the Department of Materials Science and 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 best fit.
Faculty Duties:
Teach at the undergraduate and graduate levels.
Advise students.
Conduct original scholarly research.
Develop course materials at the graduate and undergraduate levels.
Teach in both the Department of Materials Science and Engineering and in the educational programs of SCC.
Normal teaching load is two subjects per year.
Qualifications:
Hold a Ph.D. in Materials Science and Engineering, Computer Science, Physics, Chemical Engineering, Chemistry, Applied Mathematics, or a related field.
Ph.D. required by the start of employment.
Experience in computational approaches and algorithmic innovations in materials science.
Compensation:
Pay range for a 9-month academic appointment at the entry-level Assistant Professor rank (excluding summer salary): $140,000 - $150,000.
Application Materials:
Curriculum vitae.
Research statement.
Teaching and mentoring plan.
Names and contact information of 3 reference letter writers (reference letters to be uploaded by November 30, 2025).
Please submit online applications to https://faculty-searches.mit.edu/dmse_scc/. To receive full consideration, completed applications must be submitted by November 30, 2025.
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. Know your rights.
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The Department of Materials Science and Engineering (DMSE) together with the Schwarzman College of Computing (SCC) at MIT in Cambridge, MA seeks candidates at the level of tenure-track Assistant Professor to begin July 1, 2026 or on a mutually agreed date thereafter.
Materials engineering has always benefited from theoretical and computational approaches to unveil relationships between structure, properties, processing, and performance. Recent advances in computing, including but not limited to artificial intelligence, are poised to dramatically advance the understanding and design of complex matter. DMSE and SCC jointly seek candidates with experience and interest in combining fundamental scientific principles with algorithmic innovations to empower discovery, understanding, and synthesis of materials with applications across critical societal domains – healthcare, manufacturing, energy, sustainability, climate, and next-generation computing. This search encompasses all materials classes and scales, and is open to candidates with industry and start‑up experience. Candidates are expected to develop research programs that target innovation in computational approaches well‑suited to materials science and engineering research.
The successful candidate will have a shared appointment in both the Department of Materials Science and 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 best fit.
Faculty Duties:
Teach at the undergraduate and graduate levels.
Advise students.
Conduct original scholarly research.
Develop course materials at the graduate and undergraduate levels.
Teach in both the Department of Materials Science and Engineering and in the educational programs of SCC.
Normal teaching load is two subjects per year.
Qualifications:
Hold a Ph.D. in Materials Science and Engineering, Computer Science, Physics, Chemical Engineering, Chemistry, Applied Mathematics, or a related field.
Ph.D. required by the start of employment.
Experience in computational approaches and algorithmic innovations in materials science.
Compensation:
Pay range for a 9-month academic appointment at the entry-level Assistant Professor rank (excluding summer salary): $140,000 - $150,000.
Application Materials:
Curriculum vitae.
Research statement.
Teaching and mentoring plan.
Names and contact information of 3 reference letter writers (reference letters to be uploaded by November 30, 2025).
Please submit online applications to https://faculty-searches.mit.edu/dmse_scc/. To receive full consideration, completed applications must be submitted by November 30, 2025.
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. Know your rights.
#J-18808-Ljbffr