Postdoctoral Research Associate

Job Title

Postdoctoral Research Associate

Agency

Texas A&M University

Department

Department Of Statistics

Proposed Minimum Salary

Commensurate

Job Location

College Station, Texas

Job Type

Staff

Job Description

Our Commitment    

Texas A&M University is committed to enriching the learning and working environment by promoting a culture that respects all perspectives, talents & lived experiences.  Embracing varying opinions and perspectives strengthens our core values which are: Respect, Excellence, Leadership, Loyalty, Integrity, and Selfless Service.   

Who We Are

The Department of Statistics at Texas A&M University is one of the leading Statistics departments in the country. Because of its global reputation, our faculty and students are consistently awarded honors, grants, and invited to present their research at international conferences. According to U.S. News rankings, our Graduate Degree is currently listed as the 6th best among the public universities in the nation for Statistics. Based on the quality of our program, Statistics at Texas A&M is rated higher than over half of the Ivy League Universities, including Yale and Columbia.  

What We Want

The Postdoctoral Research Associate will complete duties specifically related to research activities, which will require an advanced level of knowledge in statistics. The selected candidate should be predominantly intellectual and varied in character, as they will require consistent use of discretion and judgment. The Postdoctoral Research Associate will also be responsible for presenting their research, writing and publishing papers, as well as creating software for the dissemination of research findings. If the description sounds exciting to you, we invite you to apply to be considered for this opportunity to join our team.

What You Need to Know

Salary: Compensation will be commensurate based on the selected candidate's education and experience.

Required Education:

• Appropriate PhD

Required Knowledge, Skills, and Abilities:

• Ability to multi-task and work cooperatively with others

• Expertise in Bayesian data modeling and computation

Preferred Education and Experience:

• PhD in statistics or in related fields

• Experience in Bayesian computation with complex and big data, handling of neuroimaging datasets

• Experience in multi-core computation

Responsibilities:

• Research: Conduct and present research in the area of statistical modeling for multi-modal neuroimaging data.

• Publication and Collaboration: Write and publish papers, collaborate with researchers within TAMU and researchers in the University of California San Francisco on the topics from the research area.

• Research Dissemination: Create software for wide dissemination of the research and perform other duties as assigned.

Why Texas A&M University? 

We are a prestigious university with strong traditions, Core Values, and a community of caring and collaboration.  Amenities associated with a major university, such as sporting and cultural events, state-of-the-art recreation facilities, the Bush Library and Museum, and much more await you.  Experience all that a big city has to offer but with a reasonable cost-of-living and no long commutes. 

• Health , dental , vision , life and long-term disability insurance with Texas A&M contributing to employee health and basic life premiums

• 12-15 days of annual paid holidays 

• Up to eight hours of paid sick leave  and at least eight hours of paid vacation each month

• Automatically enrollment in the Teacher Retirement System of Texas 

• Health and Wellness: Free exercise programs and release time

• Professional Development: All employees have access to free LinkedIn Learning  training, webinars, and limited financial support to attend conferences, workshops, and more 

• Employee Tuition Assistance and Educational Release time   for completing a degree while a Texas A&M employee

Instructions to Applicants: Applications received by Texas A&M University must either have all job application data entered or a resume attached. Failure to provide all job application data or a complete resume could result in an invalid submission and a rejected application. We encourage all applicants to upload a resume or use a LinkedIn profile to pre-populate the online application.

All positions are security-sensitive. Applicants are subject to a criminal history investigation, and employment is contingent upon the institution’s verification of credentials and/or other information required by the institution’s procedures, including the completion of the criminal history check.

Equal Opportunity/Affirmative Action/Veterans/Disability Employer.