South Dakota School of Mines and Technology

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Faculty ['Instructor', 'Assistant Professor', 'Full Professor', 'Associate Professor'] Tenured Phd

Position & institution

What is the name of your institution?: South Dakota School of Mines and Technology
Which department or unit is hiring?: Quantitative & Computational Biology
Which U.S. state is the position located in?: Delaware
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.: Instructor, Assistant Professor, Full Professor, Associate Professor
What is the tenure status of this position?: Tenured
Will tenure be housed in this department, or is it a joint/shared appointment?: Single Department
How would you like to present compensation?: Fixed Salary
What is the fixed annual salary?: $149,000
Summarize benefits offered (health, retirement, relocation, etc.).: Comprehensive health, dental, and vision coverage; 403(b) retirement match; relocation assistance and subsidized campus housing.
Which application materials are required?: Transcripts, Teaching Statement, Diversity Statement, Research Statement, Cover Letter
How many references / recommendation letters are required?: 1
When should reference letters be submitted?: Upon Request
Who is the search committee chair or primary contact?: Prof. Elena Rossi
What is the contact email for inquiries?: fatima.cohen@university.edu
What is the application deadline?: 2026-10-03
Will applications be reviewed on a rolling basis?: No
What is the expected start date?: 2027-05-11
Include your institution's standard EEO/diversity statement?: Yes

Candidate requirements

What is the field or area of specialization sought?: High-Dimensional Inference
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.: 1
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).: Develop novel statistical methodology, publish in venues such as JASA, Biometrics, or Biostatistics, and pursue NIH/NSF funding.

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