Hybrid Teaching Professor, Computational & Data Sciences

George Mason University; Fairfax (VA); Hybrid; USD 70,000 - 100,000; Full time

Job summary

George Mason University seeks a Term Assistant Professor in Computational and Data Sciences to teach and develop high-quality curriculum for both undergraduate and graduate programs. The ideal candidate will hold a doctoral degree and have a year of teaching experience. Responsibilities include the development of new courses and mentoring students. The position is hybrid eligible and requires a commitment to ethical and professional values in an inclusive environment.

Qualifications

• Doctoral degree in Data Science, Scientific Computing, or closely related field required.
• One year of teaching experience at the undergraduate level.
• Ability to mentor students in academic and professional growth.

Responsibilities

• Teach undergraduate and graduate courses in various modalities.
• Develop new course curriculum and support departmental programs.

Skills

Teaching at the undergraduate level

Curriculum development

Interpersonal skills

Mentoring

Communication

Education

Doctoral degree in a related field

Tools

Data Science software

High-performance computing tools

Job description

George Mason University seeks a Term Assistant Professor in Computational and Data Sciences to teach and develop high-quality curriculum for both undergraduate and graduate programs. The ideal candidate will hold a doctoral degree and have a year of teaching experience. Responsibilities include the development of new courses and mentoring students. The position is hybrid eligible and requires a commitment to ethical and professional values in an inclusive environment.