Postdoctoral Research Associate

Updated: 10 days ago
Location: College Station, TEXAS
Job Type: FullTime

Job Title

Postdoctoral Research Associate

Agency

Texas A&M University

Department

Vice Pres For Research

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 for all visitors, students, faculty, and staff by promoting a culture that embraces inclusion, diversity, equity, and accountability.  Diverse perspectives, talents, and identities are vital to accomplishing our mission and living our core values .

Who we are

The Division of Research is committed to a truly comprehensive university where students, researchers, and inventors bring scholarship and innovation to bear for the benefit of the community, the state, and the nation. Texas A&M’s research creates new knowledge that provides basic, fundamental, and applied contributions resulting, in many cases, in economic benefits to the state, nation and world.

What we want

The Postdoctoral Research Associate will work on a joint project involving the Texas A&M Institute of Data Science (TAMIDS) and the NSF-funded Institute for Foundations of Interdisciplinary Data Science (FIDS) at Texas A&M University. The project concerns the area of machine learning, and statistical and computational methods for the modeling and analysis of high-dimensional and graph-based data. The position is designed as a career-building step for a junior scholar, with the development of a research program as its primary focus. The postdoc will have opportunities to work on cutting edge problems with researchers from various related disciplines affiliated with TAMIDS and FIDS.   The selected candidate will subscribe to and support our commitment to Inclusion, Diversity, Equity and Accountability (IDEA) as stated above. If this description looks interesting to you, we invite you to apply to be considered for this opportunity.

What you need to know

Cover Letter/Resume: A cover letter, resume, and contact information for three professional references (to include at least one previous supervisor) are strongly recommended. You may upload all three on the application under CV/Resume or upon answering the questionnaire you may attach the documents.

COVID-19 information:   Texas A&M University monitors and updates our recruiting, hiring and onboarding processes to align with local, state and federally mandated health guidelines to keep employees, prospective employees, and visitors as safe as possible.  Each department has established both remote and in-person procedures for conducting these processes, which include sanitizing common spaces, a mask policy, and maintaining safe physical distancing to the extent possible.  Departments will provide the procedures to be followed at each step of the recruiting process.

Required Education and Experience:

  • PhD in computer science, electrical engineering, statistics, mathematics, or similar discipline related to Data Science

Required Knowledge, Skills, and Abilities:

  • Strong academic background in statistics, computer science, electrical engineering, mathematics, or similar discipline
  • Ability to multi-task and work cooperatively with others

Preferred Education and Experience:

  • Strong academic background in statistics, computer science, electrical engineering, mathematics, or similar discipline
  • Experience in foundational disciplines in or related to Science

Preferred Knowledge, Skills, and Abilities:

  • Advanced knowledge of machine learning methods and foundations
  • Good understanding of machine learning with graph-based data
  • Good understanding of one or more areas from graph data streaming, data embedding and learning, graph signal processing and reinforcement learning
  • Experience working with applications of Data Science to intelligent transportation, information systems, computer networking, or a related area
  • Strong programming skills, including use of R/Python/Matlab 
  • Strong interpersonal and communication skills

Responsibilities:

Group Research

  • Undertake original high-quality research within the research group in the area of machine learning with graph data, in line with objectives agreed upon appointment and reviewed periodically

  • Produce publications, conference papers and other research outputs, according to agreed objectives, and attend and present of research findings at appropriate conferences and meetings

  • Attend internal and external seminars, conferences and workshops aimed at sharing research outcomes, building interdisciplinary collaboration within and outside group, and mutual education

TAMIDS Engagements

  • Deliver short expository courses on personal and group research and/or provide consultancy on their usage to other researchers
  • Assist with the mentoring of research students in the group and/or interdisciplinary student team Data Science projects
  • Performs other duties as assigned

Instructions to Applicants: Applications received by Texas A&M University and TAMHSC, 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 committed to diversity.



Job Title

Postdoctoral Research Associate

Agency

Texas A&M University

Department

Vice Pres For Research

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 for all visitors, students, faculty, and staff by promoting a culture that embraces inclusion, diversity, equity, and accountability.  Diverse perspectives, talents, and identities are vital to accomplishing our mission and living our core values .

Who we are

The Division of Research is committed to a truly comprehensive university where students, researchers, and inventors bring scholarship and innovation to bear for the benefit of the community, the state, and the nation. Texas A&M’s research creates new knowledge that provides basic, fundamental, and applied contributions resulting, in many cases, in economic benefits to the state, nation and world.

What we want

The Postdoctoral Research Associate will work on a joint project involving the Texas A&M Institute of Data Science (TAMIDS) and the NSF-funded Institute for Foundations of Interdisciplinary Data Science (FIDS) at Texas A&M University. The project concerns the area of machine learning, and statistical and computational methods for the modeling and analysis of high-dimensional and graph-based data. The position is designed as a career-building step for a junior scholar, with the development of a research program as its primary focus. The postdoc will have opportunities to work on cutting edge problems with researchers from various related disciplines affiliated with TAMIDS and FIDS.   The selected candidate will subscribe to and support our commitment to Inclusion, Diversity, Equity and Accountability (IDEA) as stated above. If this description looks interesting to you, we invite you to apply to be considered for this opportunity.

What you need to know

Cover Letter/Resume: A cover letter, resume, and contact information for three professional references (to include at least one previous supervisor) are strongly recommended. You may upload all three on the application under CV/Resume or upon answering the questionnaire you may attach the documents.

COVID-19 information:   Texas A&M University monitors and updates our recruiting, hiring and onboarding processes to align with local, state and federally mandated health guidelines to keep employees, prospective employees, and visitors as safe as possible.  Each department has established both remote and in-person procedures for conducting these processes, which include sanitizing common spaces, a mask policy, and maintaining safe physical distancing to the extent possible.  Departments will provide the procedures to be followed at each step of the recruiting process.

Required Education and Experience:

  • PhD in computer science, electrical engineering, statistics, mathematics, or similar discipline related to Data Science

Required Knowledge, Skills, and Abilities:

  • Strong academic background in statistics, computer science, electrical engineering, mathematics, or similar discipline
  • Ability to multi-task and work cooperatively with others

Preferred Education and Experience:

  • Strong academic background in statistics, computer science, electrical engineering, mathematics, or similar discipline
  • Experience in foundational disciplines in or related to Science

Preferred Knowledge, Skills, and Abilities:

  • Advanced knowledge of machine learning methods and foundations
  • Good understanding of machine learning with graph-based data
  • Good understanding of one or more areas from graph data streaming, data embedding and learning, graph signal processing and reinforcement learning
  • Experience working with applications of Data Science to intelligent transportation, information systems, computer networking, or a related area
  • Strong programming skills, including use of R/Python/Matlab 
  • Strong interpersonal and communication skills

Responsibilities:

Group Research

  • Undertake original high-quality research within the research group in the area of machine learning with graph data, in line with objectives agreed upon appointment and reviewed periodically

  • Produce publications, conference papers and other research outputs, according to agreed objectives, and attend and present of research findings at appropriate conferences and meetings

  • Attend internal and external seminars, conferences and workshops aimed at sharing research outcomes, building interdisciplinary collaboration within and outside group, and mutual education

TAMIDS Engagements

  • Deliver short expository courses on personal and group research and/or provide consultancy on their usage to other researchers
  • Assist with the mentoring of research students in the group and/or interdisciplinary student team Data Science projects
  • Performs other duties as assigned

Instructions to Applicants: Applications received by Texas A&M University and TAMHSC, 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 committed to diversity.


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