[ES_JOBS_NET] Open Rank Professor in Atmospheric Science with Data Science Expertise, U. Of Miami

[Iskandarani, Mohamed]

The University of Miami’s Rosenstiel School and Institute for Data Science and Computing (IDSC) are soliciting applications for a tenure-track or tenured faculty position in the Atmospheric Sciences department. We seek a scientist who will strongly leverage contemporary information technology capabilities (inclusive of all kinds of machine learning, artificial intelligence, data science, model-data synthesis, etc.), to advance knowledge about the atmosphere. Successful applicants will join several other IDSC-enabled new faculty from across the School and University, as part of a School- and University-wide initiative to infuse data science into research and instructional programs. Teaching-load reductions will free up time to help define the future of the Institute, even as the tenure portfolio resides squarely within the Department.

Candidates are expected to teach at the graduate and undergraduate levels, mentor students, and maintain an active research program. The successful candidate for a tenured faculty position should have a record of internationally recognized scholarly accomplishments, teaching experience, and a sustained externally funded research program, while successful applicants at the assistant level must demonstrate potential to develop an externally funded research program of international reputation. Applicants are expected to demonstrate a commitment to excellence in teaching, mentorship, service and the promotion of diversity, equity, and inclusion. The candidates are expected to participate in collaborative and interdisciplinary research and to contribute to IDSC’s core mission of fostering inter-disciplinary and data-intensive research across the University.

Applications will be considered at all ranks. All applications received before March 1, 2024 will receive full consideration, and the appointment is expected to start as soon as feasible.  To be eligible, candidates must hold a Ph.D. or terminal degree with a focus on data science in their field by the appointment start date.

The application material can be submitted via this UM Careers website<https://umiami.wd1.myworkdayjobs.com/UMFaculty/job/Miami-FL/Open-Rank-Professor-in-Atmospheric-Science-with-Data-Science-Expertise_R100074379>, and should include:


  *   Letter of interest that describes your anticipated contributions to scholarship, teaching, and service in the Rosenstiel School (suggested limit of 2 pages)
  *   Current CV
  *   Research statement (2 pages)
  *   Teaching statement (2 pages)
  *   A statement of commitments and contributions to diversity, equity, and inclusion (1 page)
  *   The names of three colleagues who can provide us with a reference.

The Rosenstiel School of Marine, Atmospheric, and Earth Science<http://rsmas.miami.edu/> at the University of Miami is a world leader in Earth sciences. Fundamental and interdisciplinary research are focused on understanding the chemical, physical and biological processes controlling the evolution of the marine, atmospheric and terrestrial environments, and the associated human-environment interactions.

The Institute for Data Science and Computing<https://idsc.miami.edu/>’s core mission is to catalyze data-intensive research across the University of Miami focused on the needs of the region and to enhance data science understanding among our students and the public, by leveraging state-of-the-art resources and enabling novel interdisciplinary collaborations across UM and with industry partners.

The University of Miami<https://miami.edu/> is an Equal Opportunity Employer - Females/Minorities/Protected Veterans/Individuals with Disabilities are encouraged to apply. Applicants and employees are protected from discrimination based on certain categories protected by Federal law. Click here<https://www.hr.miami.edu/careers/eo-ada/index.html> for additional information.
-------------- next part --------------
An HTML attachment was scrubbed...
URL: <https://mailman.ucar.edu/pipermail/es_jobs_net/attachments/20240212/306c707d/attachment.htm>