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California State University, Monterey Bay · 2 months ago

Assistant Professor of Data Science or Applied Mathematics

Monterey, CA

Full-time

Onsite

Entry, Mid Level

$7,500/mo - $7,917/mo

California State University, Monterey Bay is a mid-sized university located in California’s Central Coast, and they are seeking an Assistant Professor of Data Science or Applied Mathematics. The successful candidate will teach undergraduate courses, develop curriculum, maintain an active research program, and contribute to mentoring students from diverse backgrounds.

EducationHigher EducationUniversities

No H1B

U.S. Citizen Only

Responsibilities

Deliver high quality, inclusive instruction

Develop or revise curriculum and courses in applied mathematics or data science

Supervise student research and projects

Engage in scholarly research, publish in peer-reviewed venues

Contribute to service at department, university, and professional levels

Build collaborations with external stakeholders and/or community partners

Qualification

. in relevant fieldTeachingcoursesResearch in data scienceComputational tools experienceMachine learningMathematical modelingCollaborative researchDiverse student engagementMentoring students

Required

Ph.D. in Applied Mathematics, Data Science, Statistics, or a closely related field by the date of appointment

Ability to teach effectively at all undergraduate levels

Commitment to working with a diverse student body, including first-generation, low-socioeconomic status, and minoritized students

Experience or training in relevant computational tools as are appropriate for the area of specialization (e.g. Python, R, MATLAB, SQL, etc.)

Demonstrated potential for research in applied mathematics and/or data science

Preferred

Experience in teaching applied mathematics or data science (or computational/statistical) courses, especially to diverse populations

Research interest or experience in areas such as machine learning, scientific computing, mathematical modeling, high-performance computing, optimization, data ethics, causal inference, or AI

Experience mentoring students, including those from underrepresented backgrounds

Familiarity with modern, evidence-based data science or applied mathematics pedagogy and curriculum guidelines (e.g., ASA, SIAM, etc.)