Available positions

Open Rank Professor - Bayesian Statistician

The Department of Statistics at the University of Nebraska-Lincoln (UNL) Institute of Agriculture and Natural Resources (IANR) is seeking applications for a Bayesian Statistician. This appointment is a 9-month, tenured or tenure-track open rank professor position with apportionments in teaching and research.

Recognizing that diversity within a context of inclusivity enhances creativity, innovation, impact, and a sense of belonging, the Institute of Agriculture and Natural Resources (IANR) and the Department of Statistics are committed to creating learning, research, Extension programming, and work environments that are inclusive of all forms of human diversity. We actively encourage applications from and nominations of qualified individuals from underrepresented groups.

The successful candidate will develop a high-impact, nationally and internationally recognized research and teaching program in Bayesian statistics. This includes methodology, applications, computing and theory, especially as applied to data sets in fields of interest to IANR so as to extract the maximum information from the data. The incumbent is expected to collaborate with current faculty in both the agricultural/natural resource sciences and the computational/statistical sciences. Research duties for this position may include field work with extension teams, subject matter experts and other partners. Consistent with the role and mission of the department, the appointee is expected to seek sources of external funding to help support the research program.

In addition, the successful candidate will support the recruitment, funding, and training of undergraduate and graduate students. The incumbent will be expected to teach up to three regular courses per academic year, or equivalent, as assigned by the department chair(s). Specific course assignments may be changed over time according to the academic unit’s need.

The appointee will also contribute, as an effective scholar and citizen of a land-grant institution, to the integrated mission of home units (e.g., department, center), including supporting student recruitment, IANR science literacy initiative, and beyond. Additional responsibilities of the academic appointment are to participate in retention and placement activities and teaching outcomes assessment, instructional improvement, and teaching scholarship.

Minimum Qualifications

  • Ph.D. in statistics, data science, computer science, engineering, or closely related field.
  • Written work in Bayesian statistics including applications.
  • Computational proficiency.

Preferred Qualifications

  • Demonstrated experience in statistics or data science in a field of importance to IANR.
  • Excellent communication skills.
  • Teaching experience at the university level.
  • Interest in working with diverse or underrepresented communities or groups.

Review of applications will begin September 16, 2022 and continue until the position is filled or the search is closed. To view details of the position and create an application, go to https://employment.unl.edu, requisition F_220095. Click “Apply to this job” and complete the information form. Attach 1) a letter of interest that describes your qualifications for the job, anticipated contributions, and the value you place on diversity and your anticipated contributions to creating inclusive environments in which every person and every interaction matters (2 page maximum; see https://ianr.unl.edu/tips-writing-about-commitment-to-deib for guidance in writing this statement); 2) your curriculum vitae; 3) a teaching and research statement (1 page each, combined into one document); and 4) contact information for three professional references.

As an EO/AA employer, qualified applicants are considered for employment without regard to race, color, ethnicity, national origin, sex, pregnancy, sexual orientation, gender identity, religion, disability, age, genetic information, veteran status, marital status, and/or political affiliation. See http://www.unl.edu/equity/notice-nondiscrimination.

Open Rank Professor - Statistical Geneticist

The Institute of Agriculture and Natural Resources at the University of Nebraska-Lincoln is a global leader in crop and animal genetics and breeding. We are augmenting these strengths by recruiting for three more positions: a Quantitative Plant Geneticist, a Quantitative Animal Geneticist, and a Statistical Geneticist. The combined, interdisciplinary expertise is crucial for developing quantitative genetic methodologies focused on interactions between genotypes and environment. The individuals in these new positions will join a team of quantitative and molecular geneticists largely focused on sustainable production agriculture and resilient ecosystems. They will also provide the needed capacity in teaching quantitative genetics and its statistical foundations.

The Department of Statistics at the University of Nebraska-Lincoln (UNL) Institute of Agriculture and Natural Resources (IANR) is seeking applications for an Open Rank Statistical Geneticist position, starting in January 2023. This 9-month (academic year), tenure-track appointment will help drive and bridge the ongoing work being done in IANR and allied departments with the development of new and innovative theories and methods in quantitative genetics and genomics. It will also provide the next generations of experts with sound theoretical training through integrated teaching programs. The apportionment is 50% research and 50% teaching. This position will be located in Lincoln, Nebraska.

The successful candidate will develop a high-impact, nationally and internationally recognized research and teaching program in Statistical Genetics and related quantitative analyses. This includes methodology, applications, computing, and theory, especially as applied to data sets in fields of interest to IANR so as to extract the maximum information from the data. Research opportunities include the development of statistical theory and methods needed to integrate multiple types of genomic data (e.g., SNP and high throughput genotyping data) for genomic prediction in important traits in plants, animals, and humans and deciphering the underlying mechanisms driving genetic variation for those traits. Collaboration with researchers in allied departments is highly encouraged. Opportunities to both lead and join research teams exist in a wide variety of areas. Animal Science, for example, has access to large and unique populations of cattle and swine. Agronomy & Horticulture work with state-of-the-art crop phenomics data. Other departments within IANR have teams working in the areas of food, microbiota, and health.

Recognizing that diversity within a context of inclusivity enhances creativity, innovation, impact, and a sense of belonging, the Institute of Agriculture and Natural Resources (IANR) and the Department of Statistics are committed to creating learning, research, Extension programming, and work environments that are inclusive of all forms of human diversity. We actively encourage applications from and nominations of qualified individuals from underrepresented groups.

Specific duties for this position are:

Research 50%
Research opportunities include the development of statistical theory and methods needed to integrate multiple types of genomic data (e.g., SNP and high throughput genotyping data) for genomic prediction in important traits in plants, animals, and humans and deciphering the underlying mechanisms driving genetic variation for those traits. Collaboration with researchers in allied departments is highly encouraged. Opportunities to both lead and join research teams exist in a wide variety of areas. Animal Science, for example, has access to large and unique populations of cattle and swine. Agronomy & Horticulture work with state-of-the-art crop phenomics data. Other departments within IANR have teams working in the areas of food, microbiota, and health.

Teaching 50%
In addition, the successful candidate will support the recruitment, funding, and training of undergraduate and graduate students. The usual teaching load will be three standard courses per year, or equivalent, as assigned by the department chair(s). Specific course assignments may be changed over time according to the academic unit’s needs.

The appointee will also contribute, as an effective scholar and citizen of a land-grant institution, to the integrated mission of home units (e.g., department, center), including supporting student recruitment, IANR science literacy initiative, and beyond. Additional responsibilities of the academic appointment are to participate in retention and placement activities and teaching outcomes assessment, instructional improvement, and teaching scholarship. In addition, the individual will be expected to accept committee assignments, reporting responsibilities, and other special ad hoc assignments as requested at the administrative unit, college/division, institute, and/or university level.

A Ph.D. in Statistics/Biostatistics with an emphasis on statistical genetics or a closely related field is required. Written work on statistical genetics including methodology and applications or closely related fields, and proven computational proficiency are also required.

Preference will be given to applicants who have demonstrated experience in statistical genetics in a field of importance to IANR; experience with multiple data types; excellent communication skills; proven record of teaching at the university level; and interest in working with diverse and/or under-represented communities or groups.

Review of applications will begin November 14, 2022 and continue until the position is filled or the search is closed. To view details of the position and create an application, go to https://employment.unl.edu, requisition F_220021. Click “Apply to this job” and complete the information form. Attach 1) a letter of interest that describes your qualifications for the job, anticipated contributions, and the value you place on diversity and your anticipated contributions to creating inclusive environments in which every person and every interaction matters (2 page maximum; see https://ianr.unl.edu/tips-writing-about-commitment-to-deib for guidance in writing this statement); 2) your curriculum vitae; 3) a teaching and research statement (1 page each; combine into one document); and 4) contact information for three professional references.

As an EO/AA employer, qualified applicants are considered for employment without regard to race, color, ethnicity, national origin, sex, pregnancy, sexual orientation, gender identity, religion, disability, age, genetic information, veteran status, marital status, and/or political affiliation. See https://www.unl.edu/equity/notice-nondiscrimination.

Asst/Assoc Prof - Director of Consulting

This appointment is a 12-month, tenured or tenure-track position at the Assistant or Associate Professor level with apportionments in teaching and research in the Department of Statistics in the Institute of Agriculture and Natural Resources (IANR) at the University of Nebraska-Lincoln.

The successful candidate will be the Director for the Statistical Cross-disciplinary Collaboration and Consulting Lab or SC3L, also known as the (Statistical) Help Desk. The SC3L is staffed by PhD students who provide statistical support to researchers within IANR and other UNL researchers, including faculty at research and extension centers and external clients. The successful candidate will oversee the PhD students, as well as develop independent collaborations that lead to publications in high-quality, high-impact, peer-reviewed journals. The successful candidate will oversee the continued growth of the SC3L to meet the increasing need for statistical consulting and collaboration. This includes creating scholarly and innovative learning programs and tools to educate researchers outside of statistics. Through the SC3L, the successful candidate will also train PhD students to function as independent consultants and educate researchers outside of statistics on how to effectively use statistical support. The successful candidate will participate in scientific meetings and other appropriate professional activities.

The successful candidate will be expected to teach the equivalent of three standard courses per academic year at the undergraduate, Master’s and PhD level as assigned by the Department Chair. In particular, MS and PhD courses in the practice and scholarship of Statistical Consulting and Collaboration. In addition, the successful candidate will participate in program and curriculum development. Specific course assignments may be changed over time according to academic unit’s need.

The appointee will also contribute, as an effective scholar and citizen of a land-grant institution, to the integrated mission of home units (e.g., department, center), including supporting student recruitment, IANR science literacy initiative, and beyond. Additional responsibilities of the academic appointment are to participate in retention and placement activities and teaching outcomes assessment, instructional improvement, and teaching scholarship.

Recognizing that diversity within a context of inclusivity enhances creativity, innovation, impact, and a sense of belonging, the Institute of Agriculture and Natural Resources (IANR) and Statistics are committed to creating learning, research, Extension programming, and work environments that are inclusive of all forms of human diversity. We actively encourage applications from and nominations of qualified individuals from underrepresented groups.

Minimum Qualifications

  • Ph.D. in statistics, data science, computer science, engineering, or closely related field.
  • Experience with consulting or applications.
  • Computational proficiency.
  • Excellent communication skills.
  • Teaching experience at the university level.

Preferred Qualifications

  • Demonstrated experience in statistics or data science in a field of importance to IANR.
  • Evidence of ability and interest in modern analysis techniques and data types.
  • Experience managing a shared resource, core, or similar group.
  • Interest in working with diverse or underrepresented communities or groups.

Review of applications will begin September 16, 2022 and continue until the position is filled or the search is closed. To view details of the position and create an application, go to http://employment.unl.edu, requisition F_210223. Click “Apply to this job” and complete the information form. Attach 1) a letter of interest that describes your qualifications for the job, anticipated contributions, and the value you place on diversity and your anticipated contributions to creating inclusive environments in which every person and every interaction matters (2 page maximum; see https://ianr.unl.edu/tips-writing-about-commitment-to-deib for guidance in writing this statement); 2) your curriculum vitae; and 3) contact information for three professional references.

As an EO/AA employer, qualified applicants are considered for employment without regard to race, color, ethnicity, national origin, sex, pregnancy, sexual orientation, gender identity, religion, disability, age, genetic information, veteran status, marital status, and/or political affiliation. See https://www.unl.edu/equity/notice-nondiscrimination.