The Department of Mathematics and Statistics at the University of Massachusetts, Amherst, invites applications for a full-time tenure track position in Predictive Modeling and Data Science at the Assistant Professor level to begin in the Fall semester of 2016. Candidates whose research interests complement the strengths of the Department's faculty in Applied and Computational Mathematics, Statistics, and Data Science are particularly encouraged to apply. Areas of interest include, but are not restricted to: Bayesian methods, computational probability, data assimilation methods, high-performance computing for complex systems, information theory, inverse problems, machine/statistical learning, Monte Carlo methods, queueing systems and networks, stochastic algorithms and optimization, uncertainty quantification.
Applicants must present strong evidence of outstanding research accomplishments and promise in both research and teaching. Applicants are required to have a Ph.D. in Mathematics, Statistics or a related field by the time of appointment.
We are seeking talented applicants qualified for an assistant professor position. Under exceptional circumstances, highly qualified candidates at other ranks may receive consideration.
The university is committed to active recruitment of a diverse faculty and student body. The University of Massachusetts Amherst is an Affirmative Action/Equal Opportunity Employer of women, minorities, protected veterans, and individuals with disabilities and encourages applications from these and other protected group members. Because broad diversity is essential to an inclusive climate and critical to the University's goals of achieving excellence in all areas, we will holistically assess the many qualifications of each applicant and favorably consider an individual's record working with students and colleagues with broadly diverse perspectives, experiences, and backgrounds in educational, research or other work activities. We will also favorably consider experience overcoming or helping others overcome barriers to an academic degree and career.
Review of applications will begin on November 14, 2016 and continue until a suitable candidate pool has been identified. To apply, please submit the following required documents electronically through Interview Exchange: A cover letter, an AMS Standard Cover Sheet, a curriculum vitae, a publication list, a description of research, and a statement about teaching interests and experience. The applicant must also have at least four letters of recommendation, of which one must support the applicant's effectiveness as a teacher, submitted via email to: firstname.lastname@example.org.
Questions about the position should be directed to the chair of the Search Committee, Professor Markos Katsoulakis, email@example.com. For additional information about the application process contact Ms. Christine Ingraham (Head's Assistant) firstname.lastname@example.org.
To apply for this job please visit tinyurl.com.