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Tenure-Track Faculty
- Johns Hopkins University (Baltimore, MD)
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The Johns Hopkins University's Department of Computer Science invites applications for tenure-track faculty positions. We anticipate making multiple offers across all areas of Computer Science and at all ranks. We offer an early action application option and support spousal/partner placement.
Early Action. Full consideration will be given to candidates who submit applications by December 1, 2024. However, beginning October 1, 2024, the department may take early action to schedule fall semester interviews and will consider fall offers with typical spring deadlines. We encourage candidates to apply early to take advantage of flexible scheduling and potentially receive an early offer before they proceed to spring interviews. All applications submitted by December 1, 2024, will receive full consideration.
Our search includes two tracks: 1) Data Science and AI, and 2) All other areas of Computer Science. The Data Science and AI track encompasses all related areas (e.g. Natural Language Processing, Computer Vision, Robotics, etc.) and support for the following cross-departmental clusters:
- Foundational methods of Machine Learning, Data Science, and Artificial Intelligence
- Embodied AI Systems
- Health and Medicine
- Scientific Discovery
- Engineered AI systems
- People, Policy, Governance, and Ethics of AI
- Security and Safety of Autonomous Systems
Our search supports the large-scale expansion of the Whiting School of Engineering (https://engineering.jhu.edu/Datascience-AI/) , which will add 150 new tenure-track professors at all ranks, including 30 Bloomberg Distinguished Professorships and 80 positions that will be part of the new Data Science and Artificial Intelligence Institute (https://ai.jhu.edu/) . This expansion includes a new building and extensive computational resources that will establish Johns Hopkins as one of the largest and leading engineering schools with a top AI research program. The expansion will grow Computer Science (https://engineering.jhu.edu/Datascience-AI/CS/) to become one of the largest computer science departments at a US private university.
The department currently has 38 full-time tenure-track faculty members, 7 research and 8 teaching faculty members, 225 Ph.D. students, over 200 MSE/MSSI students, and over 700 undergraduate students. There are several affiliated research centers and institutes including the Center for Computational Biology (CCB) (https://ccb.jhu.edu/) , the Laboratory for Computational Sensing and Robotics (LCSR) (https://lcsr.jhu.edu/) , the Center for Language and Speech Processing (CLSP) (https://www.clsp.jhu.edu/) , the Information Security Institute (ISI) (https://isi.jhu.edu/) , the Institute for Data Intensive Engineering and Science (IDIES) (https://idies.jhu.edu/) , the Malone Center for Engineering in Healthcare (MCEH) (https://malonecenter.jhu.edu/) , the Institute for Assured Autonomy (IAA) (https://iaa.jhu.edu/) , the Mathematical Institute for Data Science (MINDS (https://www.minds.jhu.edu/) ), and the SNF Agora Institute (https://snfagora.jhu.edu/) . More information about the Department of Computer Science can be found here (https://www.cs.jhu.edu/) ; more information about the Whiting School of Engineering can be found here (https://engineering.jhu.edu/) .
The department is conducting a broad and inclusive search and is committed to identifying candidates who, through their research, teaching, and service, will contribute to the diversity and excellence of the academic community. We welcome candidates who are poised to address grand challenges in computer science, can work across disciplines to solve societal challenges, and support JHU's leading role in increasing undergraduate diversity across elite universities. More information on diversity and inclusion in the department is available at https://www.cs.jhu.edu/diversity/.
We offer dual career programs that support spousal/partner placement within the department, university, and the broader Baltimore/Washington area.
Salary: $180,000 - $500,000
Applicants should submit a curriculum vitae, a research statement, a teaching statement, and (optionally) three recent publications. Junior (assistant) candidates should submit three to five letters of reference. Senior (associate/full) candidates should submit a list of references.
Applications must be made online at http://apply.interfolio.com/153420 . While candidates who complete their applications by December 1, 2024 will receive full consideration, the department may consider applications submitted after that date. Furthermore, the department may take early action on applications beginning October 1.
Questions may be directed to [email protected].
The referenced salary range is based on Johns Hopkins University's good faith belief at the time of
posting. The actual compensation offered to the selected candidate may vary and will be based on
factors including, but not limited to, the experience and qualifications of the selected candidate - e.g.,
years in rank, training, field, discipline, other work experience, and other similar factors; geographic
location; internal equity; external market conditions; and other factors as reasonably determined by
the University.
Job Type: Full Time
The listed salary range represents the minimum and maximum Johns Hopkins University offers for this position, based on a good faith estimate at the time of posting. Actual compensation will vary depending on factors such as location, skills, experience, market conditions, education, and internal equity. Not all candidates will qualify for the highest salary in the range.
Johns Hopkins provides a comprehensive benefits package supporting health, career, and retirement. Learn more: https://hr.jhu.edu/benefits-worklife/.
Equal Opportunity Employer
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.
EEO is the Law
https://www.eeoc.gov/sites/default/files/2023-06/22-088_EEOC_KnowYourRights6.12ScreenRdr.pdf
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