AI-X Bloomberg Distinguished Professorship (BDP) in Artificial Intelligence

Employer
Johns Hopkins University
Location
Maryland, United States
Salary
Salary Not Specified
Posted Date
Nov 1, 2022
Description

Johns Hopkins University seeks applicants for tenured faculty positions in Artificial Intelligence (AI) across all departments and divisions of the university. These faculty will hold Bloomberg Distinguished Professorships in the area of AI systems working within application domains as part of the BDP AI-X Cluster. Candidates must be interdisciplinary working at the intersection of AI and another domain, including science, engineering, medicine or public health, among others. We anticipate multiple hires at the associate and full professor levels, who will then guide our hiring of multiple assistant professors in this area.

The AI-X Cluster will build on Johns Hopkins’ leadership to advance AI to drive discovery, decision-making, and prediction in science, engineering, medicine, and public health, and leverage JHU’s remarkably strong culture of faculty collaboration and interdisciplinary work. The design of these systems requires interpretability for experts and integrates domain knowledge with data-driven AI. These systems must include human-AI interactions and collaborations, as well as conditioning on many data types (including images, videos, audio recordings, natural language text, electronic medical records). Recognizing that these data types can often lead to the creation of algorithms that exacerbate racial and other biases, these systems must also ensure equity, fairness, accountability and transparency, which are critical to future discoveries and for guiding decisions across science, engineering, public health, and medicine.

The Bloomberg Distinguished Professorships Cluster Initiative at Johns Hopkins University is part of an ambitious investment in interdisciplinary research to bridge academic disciplines and open novel fields of inquiry to tackle society’s most complex problems. Recruiting 100 researchers and scholars, the BDP program was established in 2013 and expanded in 2021 with gifts from Michael R. Bloomberg, JHU alumnus and 108th mayor of New York City. Many of these positions are dedicated to the Cluster Initiative to recruit scholars and innovators who will draw on each other’s unique strengths to make meaningful impact and generate solutions.

Qualifications

Applicants should possess distinguished records of achievement in research and scholarship in the areas of artificial intelligence (AI), machine learning, data science or related fields such as computer vision, natural language processing, robotics, human-AI interactions, trustworthy AI, or data-driven health and medicine. Applicants are also expected to have demonstrated records in teaching and mentorship of undergraduate and graduate students, and to demonstrate standards of academic engagement compatible with appointment to tenure at the Johns Hopkins University. Successful candidates are likely to have demonstrated a commitment to cross-disciplinary collaborations with researchers or practitioners in the areas of artificial intelligence and related domains.

Application Instructions

Applications should include a cover letter, CV, a description of scholarly and teaching activity, and three letters of reference.

Applications must be made on-line at http://apply.interfolio.com/116873. While candidates who complete their applications by December 15, 2022 will receive full consideration, we will consider applications submitted after that date. Questions may be directed to Dorothea Nikas, dhatgiy1@jhu.edu .

Equal Employment Opportunity Statement

The Johns Hopkins University is committed to equal opportunity for its faculty, staff, and students. To that end, the university does not discriminate on the basis of sex, gender, marital status, pregnancy, race, color, ethnicity, national origin, age, disability, religion, sexual orientation, gender identity or expression, veteran status or other legally protected characteristic. The university is committed to providing qualified individuals access to all academic and employment programs, benefits and activities on the basis of demonstrated ability, performance and merit without regard to personal factors that are irrelevant to the program involved.

The successful candidate(s) for this position will be subject to a pre-employment background check.

If you are interested in applying for employment with The Johns Hopkins University and require special assistance or accommodation during any part of the pre-employment process, please contact the HR Business Services Office at jhurecruitment@jhu.edu. For TTY users, call via Maryland Relay or dial 711.

The following additional provisions may apply depending on which campus you will work. Your recruiter will advise accordingly.

During the Influenza ("the flu") season, as a condition of employment, The Johns Hopkins Institutions require all employees who provide ongoing services to patients or work in patient care or clinical care areas to have an annual influenza vaccination or possess an approved medical or religious exception. Failure to meet this requirement may result in termination of employment.

The pre-employment physical for positions in clinical areas, laboratories, working with research subjects, or involving community contact requires documentation of immune status against Rubella (German measles), Rubeola (Measles), Mumps, Varicella (chickenpox), Hepatitis B and documentation of having received the Tdap (Tetanus, diphtheria, pertussis) vaccination. This may include documentation of having two (2) MMR vaccines; two (2) Varicella vaccines; or antibody status to these diseases from laboratory testing. Blood tests for immunities to these diseases are ordinarily included in the pre-employment physical exam except for those employees who provide results of blood tests or immunization documentation from their own health care providers. Any vaccinations required for these diseases will be given at no cost in our Occupational Health office.

Equal Opportunity Employer
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