THE UNIVERSITY OF NEW MEXICO
The Department of Math and Statistics anticipates appointment of an Assistant Professor in Statistics beginning August 2024 (or January 2024). A PhD in Statistics or Biostatistics is preferred; a PhD in a closely related area will be considered.
For best consideration, please apply by 10/1/2023. This position will remain open until filled.
See http://www.math.unm.edu for additional information.
The Department of Math and Statistics anticipates appointment of an Assistant Professor in Statistics beginning August 2024; an earlier start date of January 2024 is a possibility. A PhD in Statistics or Biostatistics is preferred; a PhD in a closely related area will be considered.
The Department seeks candidates pursuing research in all areas of statistics, such as, but not limited to, Bayesian statistics, biostatistics, survival analysis, time series, data science, machine learning, statistical computing, statistical genetics, and algebraic statistics. Preference will be given to candidates who have the potential for developing collaborations across the university and with local national laboratories and industries and who have the potential to supervise PhD and masters student research.
The minimum requirement is a PhD in Statistics, Biostatistics, or closely related field by the appointment start date, August 1, 2024 (or January 1, 2024 if earlier start-date is possible).
The preferred requirements are the following:
- Commitment to establish research program in Statistics with emerging international reputation
- Demonstrated or potential publication record in recognized journals
- Commitment to excellence in statistics and probability education at the undergraduate through graduate levels
- Potential for service to the Statistics Program
- Interest in research interactions with Statistics faculty and potential for such interactions around the University and wider research community
- A demonstrated commitment to diversity, equity, inclusion, and student success, as well as working with broadly diverse communities