Job Information
Texas A&M University Associate Research Scientist in College Station, Texas
Job Title
Associate Research Scientist
Agency
Texas A&M University
Department
High Performance Research Computing
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 Since 1989, the High Performance Research Computing (HPRC) group at Texas A&M University has been a key resource for research and discovery. Supporting over 2,000 users, including 400+ faculty members, we drive innovative research in areas like materials development, quantum optimization, and climate prediction. We are dedicated to advancing computing technologies and assisting researchers in their groundbreaking work. What We Want
We are looking for passionate and innovative researchers eager to push the boundaries of science and technology. Our ideal candidates thrive in a team environment, are excited to work on interdisciplinary projects, and are driven to tackle complex challenges with creative solutions. They are enthusiastic about leveraging advanced computing technologies to drive their research and are committed to continuous learning, staying updated with the latest advancements in their field. Most importantly, they aim to make significant contributions to their field and society through their work. If you are passionate about high-performance research and eager to make a difference, we want you to join our team!
The Associate Research Scientist is responsible for assisting researchers use complex high-performance computing resources for advanced computing purposes; developing approaches for deploying new computing frameworks on high performance computing infrastructure; providing technical oversight on projects; assisting in the design and support of collaborative research studies; training users on new high-performance computing resources; supporting regional and national collaborations; and serving as a principal investigator on grant applications.
What You Need To Know
Compensation will be commensurate to the selected hire’s experience.
A cover letter and resume are strongly recommended.
Qualifications
Required Education and Experience:
PhD in computer science, or related physical science or engineering field that uses research computing approaches
Three years of professional experience (post PhD) with research computing frameworks and their applications to solve problems in one or more scientific domains
Required Knowledge, Skills, and Abilities
Excellent oral, writing, and interpersonal communication skills
Advanced knowledge of programming, software development. Proficiency in at least one programming language such as Python, Fortran, C++, or CUDA, with the ability to learn others as needed
Familiarity with tools, applications, and techniques used in scientific computing
Proficient in using the LINUX/UNIX operating systems
Ability to work independently and manage multiple task loads
Ability to work on team projects and work cooperatively with others
Ability to collaborate, learn continuously and be adaptable
Preferred Education and Experience
Familiarity with scientific applications common to research computing environments
Familiarity with popular analysis toolkits such as R, Python frameworks, and Matlab
Familiarity with software management suites such as Anaconda
Familiarity with AI/ML frameworks such as, Pytorch
Familiarity with organizing information and data management services
Familiarity with composable environments, cloud platforms, containers, kubernetes, and other forward facing HPC technologies
Experience in developing partnerships and collaborations
Demonstrate project management and coordination capabilities
Demonstrate an ability to write scientific, general purpose, and technical documents
Preferred Licenses and Certifications
Certification on HPC or cloud platforms
Certification on Deep Learning and AI/ML frameworks
Responsibilities
INTERGRATING CURRENT COMPUTING APPROACHES IN HPC- Supports complex parallel workflow approaches on heterogeneous high performance computing systems. Develops ways to incorporate AI/ML frameworks such as Pytorch, into high performance computing environments using software, GUI and API-based approaches. Develops new container-native services for AI/ML. Assists in building scaffolding for users to use AI/ML frameworks on new HPC devices including disaggregated, and software-defined composable approaches. Develops and delivers training to researchers that leverage the unique capabilities of composable devices such as through integrating AI/ML with numerical simulations. Reviews system and program documentation for accuracy and completeness.
CONSULTING, PROPOSAL PARTICIPATION, AND DISSEMINATION- Provides technical leadership and expertise to the facility’s user community in the computational aspects of their research through intensive consulting, and general support activities, all aiming at integrating HPC technologies into research. Leads the assessment of research client needs and development requirements. Participates in scientific research proposals for external funding. Responds to user queries regarding HPRC resources. Supports funded efforts at HPRC. Updates training provided to users on the advanced use of high-performance computing resources. Travels and presents at conferences and events at times.
SELF-GUIDED RESEARCH- Conducts self-guided research in topics relevant to research computing. Presents findings at relevant conferences and through publications in proceedings and professional journals. Pursues external funding opportunities. Adopts new models for researcher engagement, and training, including the development of pedagogical approaches as appropriate. Publishes papers and technical reports on these findings.
TESTS DEPLOYMENT OF NEXT GENERATION LARGE SCALE COMPUTING SYSTEMS- Develops benchmark applications that can be used to evaluate the performance of next generation large scale computing systems. Works with the systems administrator team to test applications on the composable ACES supercomputer. Runs scientific applications and software management suites on this platform to test it. Tests the accelerator-to-accelerator communications performance for scientific applications. Reviews recommendations for improvement of programming tools and strategies as part of the development process.
CYBERINFRASTRUCTURE FOCUSED COLLABORATIONS- Develops and participates in research collaborations that are related to the ACES project Assists researchers in these collaborations use new technologies. Assists with collaborative projects and proposals for future funding opportunities. Manages research projects and mentor staff and students in these cyberinfrastructure specific research studies.
OFFICE OPERATIONS, OUTREACH AND STAFF TRAINING- Develops standards and oversees the implementation of procedures for conducting research of problems and the formulation of recommended solutions for customers using high-performance computing resources. Participates in mentoring and development of HPRC users and employees. Assists in the installation/maintenance of high-performance computing software on various operating systems. Develops standards and procedures for programming to include coding, debugging, and optimizing of a HPRC users’ programs. Aids in the development of ad-hoc programs for customers of high-performance computing resources. Provides training to internal staff to maintain expertise on the use of high-performance computing resources used for scientific research. Develops and participates in HPRC’s community outreach efforts. Keeps current in professional growth, state/university rules and regulations, and policies, procedures, and various standards in research administration.
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 (https://www.tamus.edu/business/benefits-administration/medical/) , dental (https://www.tamus.edu/business/benefits-administration/dental/) , vision (https://www.tamus.edu/business/benefits-administration/vision-insurance/) , life and long-term disability insurance (https://www.tamus.edu/business/benefits-administration/life-add/) with Texas A&M contributing to employee health and basic life premiums
12-15 days (https://employees.tamu.edu/employee-relations/leave/index.html) of annual paid holidays
Up to eight hours of paid sick leave (https://employees.tamu.edu/employee-relations/leave/paid/sick.html) and at least eight hours of paid vacation each (https://employees.tamu.edu/employee-relations/leave/paid/vacation.html) month
Automatically enrollment in the Teacher Retirement System of Texas
Health and Wellness: Free exercise programs and release time (https://flourish.tamu.edu/wellness-release-time/)
Professional Development: All employees have access to free LinkedIn Learning (https://linkedinlearning.tamu.edu/) training, webinars, and limited financial support to attend conferences, workshops, and more
Employee Tuition Assistance (https://livingwell.tamu.edu/employee-tuition-assistance/) and Educational Release time (https://employees.tamu.edu/employee-relations/leave/paid/educational.html) 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.
