Tenure-Track Professor in Mathematics & Data Science

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California, Northern (MO, KY)

Hybrid

USD 105,000 - 135,000

Full time

14 hours ago
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Job summary

San José State University invites applications for a full-time, tenure-track/tenured Assistant Professor of Mathematics with a specialization in Statistics or Data Science. The successful candidate will teach statistics, data science, or mathematics at undergraduate and graduate levels, supervise student research, and participate in departmental governance.

We value a strong research program, commitment to diversity, and curriculum development to support growing programs in statistics and data

Qualifications

  • PhD in Statistics, Data Science, or related field completed by July 2027.
  • Demonstrated commitment to inclusive teaching and diverse student populations.
  • Proven record of ongoing research and a plan for future work.
  • Experience teaching undergraduate and graduate courses.

Responsibilities

  • Teach a range of undergraduate and graduate statistics, data science, or mathematics courses.
  • Supervise graduate students on research projects in MS Statistics and MS Data Science programs.
  • Supervise student teams on CAMCOS industry-sponsored projects.
  • Engage in department, college, and university governance activities.
  • Maintain an active, peer‑reviewed research agenda.
  • Organize classes within the Canvas LMS
  • Demonstrate awareness of diverse student needs in course materials and advisement.

Skills

Teaching experience
Scholarly research
Program/Curriculum development
Department governance

Education

Doctoral degree in Statistics, Data Science or related field

Job description

San José State University invites applications for a full-time, tenure-track/tenured Assistant Professor of Mathematics with a specialization in Statistics or Data Science. The successful candidate will teach statistics, data science, or mathematics at undergraduate and graduate levels, supervise student research, and participate in departmental governance.

We value a strong research program, commitment to diversity, and curriculum development to support growing programs in statistics and data

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