Detalhes do emprego
LocationCarnegie Mellon University in Qatar (CMUQ)DescriptionCarnegie Mellon University in Qatar invites applications for one or more postdoctoral fellow positions in Computer Science. These positions are designed for candidates who are interested in enhancing their teaching portfolio, along with their research portfolio, to be better prepared for future academic positions. The positions expect candidates to relocate to Carnegie Mellon's campus in Doha in August 2025.Responsibilities include supporting two to three advanced undergraduate courses per year, holding recitations/office hours, working closely with students, and supporting our general educational mission. In addition to this load, successful candidates are expected to conduct research in collaboration with CMU-Q faculty or local partners. We are particularly interested in candidates in the areas of Theoretical Computer Science, Artificial Intelligence, Machine Learning, or Deep Learning. Outstanding candidates in other areas are also encouraged to apply. CMU Qatar's benefits package is highly attractive, with salaries comparable to those in the US, but free of tax. Relocation, housing, transportation, and health benefits are also covered.Qualifications- Have completed a PhD in computer science or related fields by the time of being hired.- A proven track record of productive research.- Exceptionally strong communication and interpersonal skills.- Desire to gain hands-on teaching experience.- Be able to work independently, as well as in a team.Our Commitment to Diversity, Equity, and InclusionCarnegie Mellon University is an equal opportunity employer and is committed to increasing the diversity of its community on a range of intellectual, cultural, and social dimensions. Carnegie Mellon welcomes faculty applicants who will contribute to this diversity through their research, teaching, and service, including women, members of minority groups, protected veterans, individuals with disabilities, and others who would contribute in different ways.
#J-18808-Ljbffr Science, Research and Teaching
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