*** this position has been closed and new applications are no longer accepted. ***About UMass Amherst UMass Amherst, the Commonwealth's flagship campus, is a nationally ranked public research university offering a full range of undergraduate, graduate and professional degrees. The University sits on nearly 1,450-acres in the scenic Pioneer Valley of Western Massachusetts, and offers a rich cultural environment in a bucolic setting close to major urban centers. In addition, the University is part of the Five Colleges (including Amherst College, Hampshire College, Mount Holyoke College, and Smith College), which adds to the intellectual energy of the region.
The Department of Mathematics and Statistics at UMass Amherst (https://www.math.umass.edu) invites applications for a postdoctoral position starting in the summer of 2022. The position is funded by a joint U.S. Air Force Office of Scientific Research (AFOSR) grant awarded to the Department of Mathematics and Statistics at UMass Amherst and the Division of Applied Mathematics at Brown University. We seek candidates who work in areas broadly related to themes of the grant, namely: Applied probability, machine learning, uncertainty quantification, rare events, optimization and related computational methods. The Principal Investigators are Markos Katsoulakis and Luc Rey-Bellet at Mathematics & Statistics, UMass Amherst, and Paul Dupuis at Applied Mathematics, Brown University.
Essential Functions Examples of duties: § Contributes to research in a highly technical research environment. This can include developing new ideas, theory, algorithms, and applications. § Describes techniques and results for use in scientific papers and conferences; assists in writing reports and articles. § Supervises research assistants. § Contributes to the development of new research directions.
Other Functions § Work collaboratively and effectively to promote teamwork, diversity, equality and inclusiveness. § Work in partnership with colleagues within the CNS community and across the campus to support the Dean’s strategic priorities.
Minimum Qualifications (Knowledge, Skills, Abilities, Education, Experience, Certifications, Licensure) § Ph.D. in Mathematics, Applied Mathematics, Computer Science, Statistics or a related field. § A background in Applied probability, machine learning, uncertainty quantification, rare events, optimization and related computational methods. Work Schedule A normal work week is forty (40) hours, and, to the extent practicable, consists of five (5) consecutive days, Monday through Friday. Work schedule may vary with the option for a flexible schedule depending on operational and research needs of the project determined by the PI.
Salary Information Salary is competitive, commensurate with qualifications and experience. Additional Information The appointment is initially for one year, starting with a postdoctoral position at UMass Amherst. There is the possibility of renewal for a second year with a postdoctoral position at Brown University dependent on mutual agreement and available funding.
Special Instructions to Applicants To apply for this position, please visit http://www.mathjobs.org and submit the relevant materials (completed AMS cover sheet, curriculum vitae including a publication list, concise descriptions of research, and at least three letters of recommendation) online.
Position may remain open until filled.
Questions about the position should be directed to Principal Investigator Dr. Markos Katsoulakis, markos@math.umass.edu . For additional information about the application process contact the Head’s Assistant Liming Liu, limingliu@math.umass.edu.
As part of a commitment to their own multicultural community, CNS seeks an individual with a demonstrated commitment to diversity and one who will understand and embrace university initiatives and aspirations. (https://www.cns.umass.edu/diversity-equity-inclusion)
UMass Amherst is committed to a policy of equal opportunity without regard to race, color, religion, gender, gender identity or expression, age, sexual orientation, national origin, ancestry, disability, military status, or genetic information in employment, admission to and participation in academic programs, activities, and services, and the selection of vendors who provide services or products to the University. To fulfill that policy, UMass Amherst is further committed to a program of affirmative action to eliminate or mitigate artificial barriers and to increase opportunities for the recruitment and advancement of qualified minorities, women, persons with disabilities, and covered veterans. It is the policy of the UMass Amherst to comply with the applicable federal and state statutes, rules, and regulations concerning equal opportunity and affirmative action. |
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