The International Society for Bayesian Analysis
Open Level Faculty Position in Statistics
The International Society for Bayesian Analysis, Santa Barbara, California, us, 93190
Open Level Faculty Position in Statistics
Feb 15, 2019The Department of Statistics and Applied Probability at the University of California, Santa Barbara invites applications for an Open-Rank (tenured or tenure-track) position in Statistics with emphasis on Data Science, with an anticipated start date of July 1, 2019. The Department is looking for individuals with a strong research agenda related to data science and demonstrated research and teaching excellence. Ideal candidates will have a record of collaborative research and potential to play a leadership role in developing data science programs at UCSB.Responsibilities:Teaching at undergraduate and graduate levelsRecruitment, supervision, and mentorship of graduate studentsParticipation in university service and professional activitiesDevelopment of an actively funded research program of the highest qualityMinimum Qualifications:Applicants must have a PhD (or equivalent) in Statistics, Biostatistics, Computer Science, Data Science or related areas at the time of application. The University is especially interested in candidates who can contribute to the diversity and excellence of the academic community through research, teaching, and service as appropriate to the position.Application Process:Applications should be submitted electronically, and must include:Cover letterCurriculum vitaeStatement of researchStatement of teachingContact information of 4-6 individuals who have agreed to provide letters of recommendationApplicants are also encouraged to submit a diversity statementApplications received by March 10, 2019 will be given priority consideration, but the position will remain open until filled. To apply please visit
this link .The University of California is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability status, protected veteran status, or any other characteristic protected by law.
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Feb 15, 2019The Department of Statistics and Applied Probability at the University of California, Santa Barbara invites applications for an Open-Rank (tenured or tenure-track) position in Statistics with emphasis on Data Science, with an anticipated start date of July 1, 2019. The Department is looking for individuals with a strong research agenda related to data science and demonstrated research and teaching excellence. Ideal candidates will have a record of collaborative research and potential to play a leadership role in developing data science programs at UCSB.Responsibilities:Teaching at undergraduate and graduate levelsRecruitment, supervision, and mentorship of graduate studentsParticipation in university service and professional activitiesDevelopment of an actively funded research program of the highest qualityMinimum Qualifications:Applicants must have a PhD (or equivalent) in Statistics, Biostatistics, Computer Science, Data Science or related areas at the time of application. The University is especially interested in candidates who can contribute to the diversity and excellence of the academic community through research, teaching, and service as appropriate to the position.Application Process:Applications should be submitted electronically, and must include:Cover letterCurriculum vitaeStatement of researchStatement of teachingContact information of 4-6 individuals who have agreed to provide letters of recommendationApplicants are also encouraged to submit a diversity statementApplications received by March 10, 2019 will be given priority consideration, but the position will remain open until filled. To apply please visit
this link .The University of California is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability status, protected veteran status, or any other characteristic protected by law.
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