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.

Information about the Department of Mathematics and Statistics is at https://www.math.umass.edu

Job Summary

The Department of Mathematics and Statistics at UMass Amherst is seeking applicants for an interdisciplinary postdoctoral research associate for a project in data-driven modeling of cancer to obtain personalized cancer treatments. Work includes modeling of cell interactions, gathering data sets, developing and numerically solving diffusion reaction equations, parameter estimation, machine learning, and sensitivity analysis, with an emphasis in building open source technologies that benefit the entire scientific community.

Essential Functions

Examples of duties:

§  Perform research on tumor development and mechanism of action of cancer drugs

§  Develop open source software packages

§  Publish and present our work

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.

• Perform other duties as assigned in support of the mission and goals of the College of Natural Sciences.

Minimum Qualifications (Knowledge, Skills, Abilities, Education, Experience, Certifications, Licensure)

§  A Ph.D. in Mathematics, Computer Science, Informatics, Engineering, or related discipline is required.

§  A strong background in programming, particularly Python, is required.

Preferred Qualifications (Knowledge, Skills, Abilities, Education, Experience, Certifications, Licensure)

§  Prior expertise in cancer modeling (especially diffusion reaction formulas) is a plus.

§  Applicants should have a record of independent research and publications along with the ability to participate in interdisciplinary collaborations.

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 depending on operational and research needs of the project as determined by the PI.  Work days can differ depending on need.

Salary Information

Salary is commensurate with qualifications and experience.

Additional Information:

One (1) year with strong potential for extension for at least another year subject to performance.  

Special Instructions to Applicants

To apply, please submit the following required documents through http://www.mathjobs.org/jobs:

A letter of interest, an AMS Standard Cover Sheet, a Curriculum Vitae, Research Statement, and three letters of recommendation.

Please submit all requested application materials by August 29^th, 2021 to ensure priority consideration.  Position may remain open until filled.

Questions about the position should be directed to the Principal Investigator, Dr. Leili Shahriyari,  lshahriyari@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.