Tenure-Track Faculty Positions, EECS and IMES with focus in ML/AI in health sciences

Massachusetts Institute of Technology, Institute for Medical Engineering and Science; Cambridge (MA); Vor Ort; USD 143.000 - 150.000; Vollzeit

Zusammenfassung

The Massachusetts Institute of Technology, in Cambridge, invites applications for tenure-track assistant professor positions in ML/AI and their application to physiological systems and healthcare data. The appointment is joint between EECS and IMES, with teaching and research expected across EECS and the Harvard-MIT Program in Health Sciences & Technology.

Rank is at the assistant professor level; untenured associates or senior candidates may be considered in special cases.

Qualifikationen

• PhD is required by start of employment.
• Appointment at the assistant Professor level; possibility of untenured associate or senior with experience.

Aufgaben

• Teach and advise graduate and undergraduate students in EECS and IMES.
• Conduct original research and develop course materials at graduate and undergraduate levels.
• Engage in service to EECS and IMES and contribute to joint programs with Health Sciences & Technology.

Kenntnisse

ML/AI in healthcare

Teaching and advising

Ausbildung

PhD in CS/Applied Math/Statistics

Jobbeschreibung

The Department of Electrical Engineering and Computer Science (EECS) together with the Institute for Medical Engineering and Science (IMES) at the Massachusetts Institute of Technology (MIT) located in Cambridge MA, invites applications for tenure-track faculty positions in the areas ofmachine learning (ML)/artificial intelligence (AI) and their application in physiological systems and healthcare databeginning July 1, 2027, or on a mutually agreed date thereafter.

We seek candidates whose research involves advancing ML, AI, or innovative computational methods to address healthcare problems. Areas of interest include algorithmic/methodological advances specifically for healthcare data; using electronic medical records for improved diagnosis, treatment planning, or outcomes; analysis of healthcare data across scales (molecules to organism; individual to populations) with links to environmental or economic confounders; clinically actionable ML/AI; digital pathology and other relevant areas of ML/AI/computing to advance human health.

Appointment will be at the assistant professor level. In special cases, an untenured associate or senior faculty appointment may be possible, commensurate with experience. A doctorate incomputer science, applied mathematics, statistics,or another relevant field is required by the start of employment.

The successful candidate will have an appointment in the Department of Electrical Engineering and Computer Science (EECS), which will serve as the tenure home, and a joint appointment with the Institute for Medical Engineering and Science (IMES). Faculty duties include teaching and advising graduate and undergraduate students in EECS and the Harvard-MIT Program in Health Sciences & Technology (IMES's educational program) conducting original research, developing course materials at the graduate and undergraduate levels, and engaging in service to EECS and IMES. The normal teaching load is2subjects per year. Candidates are expected to teach in both EECS and IMES. Together EECS and IMES offer supportive mentorship to junior faculty, an exceptional environment for scientific inquiry, and a strong commitment to an inclusive, welcoming culture.

The pay range for a 9-month academic appointment at the entry-level Assistant Professor rank (excluding summer salary): $143,000 - $150,000. The pay offered to a selected candidate during hiring will be based on factors such as (but not limited to) the scope and responsibilities of the position, the candidate's work experience and education/training, internal peer equity, and applicable legal requirements. This pay range represents base pay only and does not include any other benefits or compensation. 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.

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 (https://policies.mit.edu/policies-procedures/90-relations-and-responsibilities-within-mit-community/92-nondiscrimination). Know your rights: see https://www.eeoc.gov/sites/default/files/2022-10/EEOC_KnowYourRights_screen_reader_10_20.pdf.