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Postdoctoral Research Associate

Tamus

·

Today

Location
College Station, TX, United States of America
Type
Full-time
Department
Education
Seniority
Entry
Education
PhD
Closing date
Today
Source
Workday

Description

Job Title

Postdoctoral Research Associate

Agency

Texas A&M University

Department

Department Of Statistics

Proposed Minimum Salary

$4,666.66 monthly

Job Location

College Station, Texas

Job Type

Staff

Job Description

Here's a Glimpse of the Job

The Postdoctoral Research Associate will be involved in developing deep learning architecture for multi-object data integration, federated learning approaches for high-dimensional dependent data, and data sketching approaches for massive data.

 

Opportunities to Contribute:

  • Develop statistical/machine learning methodology for multi-modal imaging data integration. 

  • Collaborate with neuroscientists from UC San Francisco Medical School, share results, and receive scientific inputs from them through weekly online meetings. 

  • Develop statistical theory to rigorously establish validity of the proposed methodology. 

  • Analyze multi-modal neuroimaging datasets provided by the UCSF scientists (e.g., Adolescent Brain Cognitive Development Data) and summarize results by publishing in peer-reviewed journals.  

  • Attend conferences to disseminate the ideas. 

  • Share the Python codes in a well-maintained GitHub repository for public use.

  • Make R or Python package for widespread use of the methods. 

  • May assist, mentor, and/or supervise student researchers and/or graduate students who are working on research related to the project.

Qualifications  

  • PhD in statistics, economics or related field. 

A well-qualified candidate may also possess:

  • Data analysis, statistical methodology and computing 

Salary: $56,000.00 annually

Special Note: This position is funded from grant and/or contract funding, which is renewed through provisions of the grantor of the contract. Therefore, this position is contingent upon continuation of funding from these grants and/or contracts, as well as satisfactory job performance .

What you need to do

Apply! Submit a cover letter, CV/Resume to assist us with the review process. You may upload these documents on the application under CV/Resume. 

Why Texas A&M University? 

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.   

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.

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.  

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 prepopulate 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/Veterans/Disability Employer.

Skills

PythonMachine LearningDeep LearningGitHub

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