Postdoctoral Associate

Job Title

Postdoctoral 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 Associate will be responsible for conducting cutting-edge research in either machine learning, quantum computing, quantum Markov chains, quantum stochastic processes, or quantum Monte Carlo. Postdoctoral associate will be engaged in designing and implementing innovative methodologies, contributing to advancements in their chosen field. This role involves collaboration with experts in related domains, publishing research findings in top-tier journals, and presenting at conferences. If this job description sounds interesting to you, we invite you to apply to be considered for this opportunity.

 

What You Need to Know

Salary Range: Compensation will be commensurate to selected hire's experience.

Required Education and Experience:

• Ph.D. in Mathematics, Statistics, Machine Learning, Quantum Computing or a related quantitative field

Required Knowledge, Skills, and Abilities:

• Ability to perform theoretical or methodological or collaborative research

Preferred Education and Experience:

• Strong research experience in mathematics, statistics, machine learning, quantum computing or a related quantitative field

Responsibilities:

• Research: Conducts and presents research on statistical methodology.

• Writing, Publishing, and Collaboration: Writes and publishes papers. Collaborates with other research team members within TAMU.

• Creating Software: Creates software for the wide dissemination of the research and performs 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.