Postdoctoral Associate

The Postdoctoral Fellow in Data Science will support research in this fast growing field, and in particular, the research program of Assistant Professor Shiying Li. Responsibilities include conducting research in mathematical data science, as well as in closely related areas of applied or computational mathematics; disseminating results at national and international conferences; organizing and participating in departmental seminars; teaching 2 courses per academic year;

and contributing service to the department, including supporting student activities and assisting with the Summer Data Science camp.

UNL makes available reasonably priced life, health, and long-term disability insurance programs. To learn more about the department please visit  .

A Ph.D. degree in Mathematics or a closely related field.

Strong research potential in mathematical data science or applied/computational mathematics, with the ability to connect theory, computation, and applications. Areas of interest may include, but are not limited to, optimal transport, mathematical modeling, machine learning, and applications to biological or other complex data.

Click "Apply Now" and login or create an applicant profile. In addition, applicants must submit the following materials viawww.mathjobs.org :

• A letter of application
• Teaching statement
• Three letters of reference, at least one of which should address the applicant's teaching experience.

Please arrange for your references to submit their letters using (Use the "Apply for this Job" box below). . Failure to submit applications to both  and here will result in an incomplete application and cannot be reviewed. Questions should be directed to the Chair of the Data Science Postdoctoral Search Committee, Shiying Li, at sli
82 .

Campus Label:
University of Nebraska Lincoln (UNL)

For questions or accommodations related to this position contact:
Shiying Li sli
82

Special Instructions to Applicant:
Click on "Apply Now". Create or login to account. If current employee, click on Employee login.

The University of Nebraska does not discriminate based on race, color, ethnicity, national origin, sex, pregnancy, sexual orientation, gender identity, religion, disability, age, genetic information, veteran status, marital status, and/or political affiliation in its programs, activities, or employment.