Tenure-Track Faculty Positions


The Department of Statistics of Rutgers University seeks outstanding applicants for tenure-track position of assistant and associate professor to start Fall 2022. Applicants must have a Ph.D. in statistics or a related field by September 1, 2022. Responsibilities of the position include: teaching and overseeing both undergraduate and graduate programs in statistics, and conducting original research in broad areas of statistics, particular emphasis on statistical learning and data science are preferred. Pursuit of external research funding is expected.

Interested individuals should apply online through Rutgers online link by providing a curriculum vitae, research statement and teaching statement,  and arranging for submission of at least three confidential letters of reference.

Review of applications will start on November 1, 2021, and continue until the position is filled. Applicants are encouraged to submit their applications early.

 Affirmative Action/Equal Employment Opportunity Statement
It is university policy to provide equal employment opportunity to all its employees and applicants for employment regardless to race, creed, color, national origin, age, ancestry, nationality, marital or domestic partnership or civil union status, sex, pregnancy, gender identity or expression, disability status, liability for military service, protected veteran status, affectional or sexual orientation, atypical cellular or blood trait genetic information (including the refusal to submit to genetic testing), or any other category protected by law.  As an institution, we value diversity of background and opinion, and prohibit discrimination or harassment on the basis of any legally protected class in the areas of hiring, recruitment, promotion, transfer, demotion, training, compensation, pay, fringe benefits, layoff, termination or any other terms and conditions of employment. For additional information please see the Non-Discrimination Statement at the following website address: https//

In Memoriam: Neville E. O'Reilly


Dr. Neville E. O'Reilly, a beloved husband, educator, and mentor, passed away on September 22, 2021, in New Brunswick, New Jersey.

Neville was born in Durban, South Africa where he obtained his undergraduate degree first in legal studies and then a second undergraduate degree in applied mathematics in which he excelled. Upon graduation, he became a practicing attorney and engaged in defending a prominent anti-apartheid activist, which did not make Neville popular with the existing government. Following this case, Neville’s parents encouraged him to leave South Africa to pursue his passion for mathematics and statistics. He won a full scholarship from Columbia University where he obtained his PhD in Mathematical Statistics and Probability under the supervision of the prominent statistician Herbert Ellis Robbins. Upon completing his degree, Neville joined the faculty of the Department of Statistics at Rutgers before moving to the business world where he held senior positions at AT&T, Netspeak, Dialect Solutions and Equitrac in finance, strategic planning, business operations as well as in product development, management, and marketing.

After a long career in business working on several continents, Neville came back to Rutgers in 2012 to become the Associate Director of the newly launched MS degree program in Financial Statistics and Risk Management (FSRM), one of two professional programs that he would help build in the Department of Statistics. The FSRM program was a unique offering at the time and Neville played a vital role in its development and success. He again played a vital role in 2016 when the MS degree program in Data Science was launched, for which he also served as Associate Director.

Read more: In Memoriam: Neville E. O'Reilly

In Memoriam: Arthur Cohen


Arthur Cohen, a brilliant applied and mathematical statistician and a wonderful colleague and leader, passed away on July 26, 2021.

Arthur spent his professional career at Rutgers, from 1963 until he traded his title of Distinguished Professor for Emeritus in 2017.  A world-renowned leader in decision theory, he was known in the research world for blending dynamic applied statistical expertise with rigorous and creative mathematical skills.  Among his colleagues he was also revered for his integrity, geniality, incisiveness, and an unending passion for statistics.

Arthur was born in 1933 and later attended Brooklyn College, where he was captain of the basketball team.  One professor there suggested that Arthur might try graduate school in statistics at Columbia University, to which he could commute from home.  That bit of serendipity launched his career.  Arthur interrupted his graduate studies to spend two years with the Epidemiology Intelligence Service, in what was then the Communicable Disease Center (CDC), as a "disease detective".  After returning to Columbia, Arthur wrote a dissertation under Ted Anderson involving admissible estimators, a major topic over his career.  

Read more: In Memoriam: Arthur Cohen

Graduate Student Researcher - Quantitative - Education Research

Job Opportunity

The Joseph C. Cornwall Center for Metropolitan Studies seeks a doctoral student with advanced quantitative research experience and interest in education to support this project.  The position is for the 2021-2022 academic year and is funded through the NJ Policy Lab.
Read More

To apply please submit a CV/Resume and Cover Letter to Vandeen Campbell (This email address is being protected from spambots. You need JavaScript enabled to view it.)

Prosoft Clinical - Opportunity for Statisticians

My name is Matt Hudson and I am the VP of biostatistics at Prosoft Clinical.  Prosoft Clinical is a contract research organization located in the greater Philadelphia area.  We provide full service support for all phases of clinical trials in a number of therapeutic areas.  We are looking to hire two outstanding statisticians to join our renowned and award winning biostatistics group. Candidates for these positions must meet the following qualifications: Master’s or PhD degree in statistics, biostatistics, or related fields with 0-5 years of experience in the application of biostatistics methods in clinical trials. Some knowledge of SAS is desirable.  Candidates must be authorized to work in the USA.

These are full time positions with long-term growth potential. Interested individuals should email their CV to my attention.  

Thank you for your time,


Matt Hudson, PhD
Vice President, Biostatistics

Prosoft Clinical

996 Old Eagle School Road

Suite 1106

Wayne, PA 19087

This email address is being protected from spambots. You need JavaScript enabled to view it.

Statistical Learning and Data Mining Section : Job Title: Assistant Professor Data Science, Statistics at Purdue University

Job Summary

The Department of Statistics in the College of Science at Purdue University invites applications for multiple positions in Data Science to begin in August 2021 or a future date subject to negotiation.  These appointments will be at the level of assistant or associate professor.  Early career candidates with exceptional qualifications may be considered for a term-limited early career endowed professorship.

School and College
These positions come at a time of significant investment for the College of Science, comprising the statistical, mathematical, and computational sciences. We are interested in all aspects of data science and related fields. This includes, but is not limited to, the following areas:

  • Statistical learning
  • Foundation of data science
  • Big data analysis and applications for high-impact/emerging topics
  • Statistical computing, optimization, and algorithms

The Department of Statistics at Purdue University is one of the largest statistics departments in the nation. The department offers a stimulating academic environment with active research programs in most areas of statistics. The department offers undergraduate programs in Statistics and Data Science, and graduate MS and PhD programs in Statistics. For more information, see


Successful candidates will combine an outstanding record of research excellence with a commitment to effective and engaged teaching. Appointments will be made based on demonstrated research and teaching qualifications. Candidates must have a Ph.D. (or its equivalent) in Statistics, or a closely related field, or an established research record in these related areas.There are other positions in data science as well at Purdue in both the Computer Science and Mathematics departments. Candidates are encouraged to apply for all that are relevant.Successful candidates are expected to develop a vibrant research program supported by external funding, teach undergraduate and/or graduate courses to a diverse student body, and supervise graduate students. Senior faculty will also mentor junior faculty and participate in the governance of the department, the College of Science, and Purdue University by serving on faculty committees.


Applicants should apply online.  A background check will be required for employment. Review of applications and interviews will begin in December 15, 2020, and new applications will continue to be considered until positions are filled. Inquiries can be sent to This email address is being protected from spambots. You need JavaScript enabled to view it..

The following materials are required:

  • Cover letter
  • Curriculum vitae including a list of publications
  • Statement of research
  • Statement of teaching
  • Statement on diversity and inclusion
  • Three letters of recommendation

Purdue University's College of Science is committed to advancing diversity in all areas of faculty effort, including scholarship, instruction, and engagement. We encourage candidates to address at least one of these areas in the separate statement on diversity and inclusion, indicating past experiences, current interests or activities, and/or future goals to promote a climate that values diversity, and inclusion. Salary and benefits are competitive, and Purdue is a dual-career friendly employer.

Equal Opportunity

Purdue University is an EOE/AA employer. All individuals, including minorities, women, individuals with disabilities, and veterans are encouraged to apply

Assistant Professor Position in Statistics/Data Science

This position is an excellent opportunity for scholars interested in a career at an institution that is a national leader in graduating URM students. San Jose State University has achieved HSI (Hispanic Serving Institution) and AANAPISI (Asian American and Native American Pacific Islander Serving Institution) designation; 40% of our student population are first-generation students and 38% are Pell-qualified. As a result, the university is ranked highly in increasing student upward mobility.

San José State University is California’s oldest institution of public higher learning. The campus is located on the southern end of San Francisco Bay in downtown San José (Pop. 1,000,000), hub of the world-famous Silicon Valley high-technology research and development center. Many of California’s most popular national, recreational, and cultural attractions are conveniently close. A member of the 23-campus CSU system, San José State University enrolls approximately 30,000 students, a significant percentage of whom are members of minority groups. The University is committed to increasing the diversity of its faculty so our disciplines, students and the community can benefit from multiple ethnic and gender perspectives.

Interested candidates can apply through this site:  I am also attaching the position announcement which is also advertised in



Bem Cayco

Department of Mathematics and Statistics

San Jose State University


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Latest News

Professor Steve Buyske received the 2021 Award for Distinguished Contributions to Undergraduate Education

Professor Qiyang Han received a NSF Career Award

Professor Regina Liu is recipient of the 2021 Noether Senior Scholar Award

Professor Cun-Hui Zhang received a life achievement award from the International Chinese Statistical Association (ICSA)

Professor Zhiqiang Tan and Professor Minge Xie elected IMS Fellows

Professor Javier Cabrera received an award from Jansen R&D

Professors Ying Hung and Min Xu received NSF grants

Congratulations to all our awardees!