City: Nashville, TN, US
Employer Reference: 10006319
Company Description
Vanderbilt is a community of talented and diverse staff & faculty!
At Vanderbilt University , our work - regardless of title or role - is in service to an important and noble mission in which every member of our community serves in advancing knowledge and transforming lives on a daily basis. Located in Nashville, Tennessee, on a 330+ acre campus and arboretum dating back to 1873, Vanderbilt is proud to have been named as one of “America’s Best Large Employers” as well as a top employer in Tennessee and the Nashville metropolitan area by Forbes for several years running. We welcome those who are interested in learning and growing professionally with an employer that strives to create, foster and sustain opportunities as an employer of choice through:
- Working and growing together as a community of communities... we are One Vanderbilt.
- Providing a work environment where every staff and faculty member can be their authentic and best self, while providing the resources and opportunities to learn and grow.
- Encouraging development, collaboration, and partnership both internally and externally while fostering the value that every member of the Vanderbilt community can lead and grow regardless of title or position.
We understand you have a choice when choosing where to work and pursue a career. We understand you are unique and have a story. We want to hear it. We encourage you to apply today so that you might become a part of our story.
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Commitment to Equity, Diversity, and Inclusion
At Vanderbilt University, we are intentional about and assume accountability for fostering advancement and respect for equity, diversity, and inclusion for all students, faculty, and staff. Our commitment to diversity makes us who we are. We have created a community that celebrates differences and lets individuality thrive. As part of this commitment, we actively value diversity in our workplace and learning environments as we seek to take advantage of the rich backgrounds and abilities of everyone. The diverse voices of Vanderbilt represent an invaluable resource for the University in its efforts to fulfill its mission and strive to be an example of excellence in higher education.
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Job Description
The Research Assistant - Term will assist Professor Larry Schumaker in continuing research on the use of splines to solve Elliptic boundary-value problems on curved domains in 3D and in preparing research papers on the subject.
About the Work Unit:
The Department of Mathematics at Vanderbilt University combines the friendly and supportive atmosphere of a liberal arts college with the excitement and challenge of forefront research. The undergraduate program consists of a focused mathematics education combined with a wealth of skills from the humanities and social sciences. The bachelor’s degree prepares a student for a career in the private sector or for continuing one's education in mathematics and many other fields. Both undergraduate and graduate students actively engage in Departmental research programs that are supported by more than $3.0 million in external funding annually. These research programs are at the cutting edge of traditional areas of mathematics as well as being a major contributor to contemporary interdisciplinary institutions and centers.
Duties and Responsibilities:
- Search the literature to identify published papers relevant to the research
- While studying such papers, implementing related methods in Matlab
- Continuing to develop Matlab code for project’s new methods
- Constructing and preparing examples of such new methods
- Preparing related manuscripts for publication
- Be available to meet with Prof. Schumaker on campus on a regular basis
- Other duties as assigned
Supervisory Relationships:
This position has no supervisory responsibility. This position reports functionally to Professor Larry Schumaker & administratively to the department Administrative Manager.
Qualifications:
- Bachelor of Science degree in mathematics
- Be well-versed in numerical analysis and approximation with splines
- Have an understanding of numerical methods for partial differential equations