Postdoctoral Research Associate - SciML Lab

Job Title

Postdoctoral Research Associate - SciML Lab

Agency

Texas A&M University

Department

Vice Pres For Research

Proposed Minimum Salary

Commensurate

Job Location

College Station, Texas

Job Type

Staff

Job Description

The Department

The Texas A&M Institute of Data Science (TAMIDS) pursues new approaches to data science research, education, operations, and partnerships. These approaches cross college boundaries to connect elements of Data Science from engineering, technology, science, and the humanities and inform wider social challenges. In partnership with over 200 research affiliates from across The Texas A&M University System, work being done by TAMIDS is shaping the future of Data Science research. To learn more, visit https://tamids.tamu.edu/ .

Here is a Glimpse of the Job

The Texas A&M Institute of Data Science (TAMIDS) is seeking a Postdoctoral Research Associate – SciML Lab who will work in the area of machine learning and statistical and computational methods for the modeling and analysis of high-dimensional and graph-based data. The postdoc will have opportunities to work on cutting-edge problems with researchers from various related disciplines affiliated with TAMIDS and FIDS.  The preferred candidate will have a strong academic background in statistics, computer science, electrical engineering, mathematics, or similar discipline. It is also preferred that the candidate will have experience in foundational disciplines in or related to science. We seek to hire a team player who will promote collaboration and cooperation while working within a team.

What You Need to Know

• We strongly recommend a cover letter, resume, and contact information for three professional references.

• Salary: Compensation will be commensurate to selected hire’s experience.

Why Texas A&M University

Texas A&M University is a prestigious university with strong traditions, Core Values, and a community of caring and collaboration.  We are committed to enriching the learning environment for our students, and the working atmosphere for all our employees. We promote 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 .   

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. In addition, you have access to many benefits and perks, such as:

• 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 
• Educational release time and tuition assistance  for completing a degree while a Texas A&M employee

Additional Position Details

Required Education:

• 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 Experience:

• 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.
• Ability to cultivate and maintain professional working relationships with people of diverse backgrounds. (DOR required)

Responsibilities:

• Group Research - Undertakes 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. Produces publications, conference papers and other research outputs, according to agreed objectives, and attends and presents research findings at appropriate conferences and meetings. Attends internal and external seminars, conferences and workshops aimed at sharing research outcomes, building interdisciplinary collaboration within and outside group, and mutual education.

• TAMIDS Engagement - Delivers short expository courses on personal and group research and/or provides consultancy on their usage to other researchers. Assists with the mentoring of research students in the group and/or interdisciplinary student team Data Science projects. Performs other duties as assigned.

In accordance with the federal contractor vaccination mandate , specific facilities at The Texas A&M System may be considered a covered contractor workplace with covered contractor employees. Therefore, successful applicants for this position may be subject to the federal mandate to be fully vaccinated against COVID-19 as a condition of employment unless an approved medical or religious accommodation is in place.

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.