California State University System

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Faculty ['Assistant Professor', 'Lecturer', 'Instructor', 'Associate Professor'] Non Tenure Track Phd

Position & institution

What is the name of your institution?: California State University System
Which department or unit is hiring?: Quantitative Health Sciences
Which U.S. state is the position located in?: New Jersey
What category of position is this?: Faculty
What rank is the faculty position? Select all that apply — choose more than one for an open-rank search.: Assistant Professor, Lecturer, Instructor, Associate Professor
What is the tenure status of this position?: Non Tenure Track
What is the contract length (in years)? Enter 0 if open-ended.: 2
Is the contract renewable?: Yes
How would you like to present compensation?: Not Disclosed
Summarize benefits offered (health, retirement, relocation, etc.).: Full medical/dental, generous parental leave, annual research/travel fund, and tuition remission for dependents.
Which application materials are required?: Cv
How many references / recommendation letters are required?: 2
When should reference letters be submitted?: Upon Request
Who is the search committee chair or primary contact?: Prof. Hyun Müller
What is the contact email for inquiries?: hyun.silva@university.edu
What is the application deadline?: 2026-10-01
Will applications be reviewed on a rolling basis?: Yes
What is the expected start date?: 2027-05-03
Include your institution's standard EEO/diversity statement?: No
Provide the equal-opportunity statement you'd like to display.: Our institution is committed to building a diverse community and encourages applications from candidates of all backgrounds.

Candidate requirements

What is the field or area of specialization sought?: Spatial Statistics
What is the minimum required degree?: Phd
Must the degree be completed by the start date?: No
What is the expected teaching load (courses per year)? Enter 0 if none.: 2
Briefly describe teaching responsibilities and any specific courses.: Teach the graduate biostatistics methods sequence (e.g. linear models, survival analysis) and advise MS/PhD students.
Describe research expectations (e.g., external funding, lab, publications).: Lead the statistical design and analysis of collaborative clinical and translational studies while building an independent methods program.

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