Description

The research faculty will design and implement novel, large scale generative AI methods. He/she will collaborate with SMU researchers seeking to scale-up AI/ML applications on HPC platforms. The research faculty will also provide technical mentorship and guidance to students, identify external funding opportunities, assist in preparing multi-disciplinary proposals, and prepare technical reports/papers for publication in journals and conferences.

Qualifications

Required qualifications include a Ph.D. in computer science or related field, a strong knowledge of the theory and practice of generative AI and deep learning, as well as experience in application porting to HPC platforms. Other requirements are excellent programming skills in C or C and parallel programming, as well as some rapid prototyping environments such as Python. Knowledge of common machine learning frameworks such as PyTorch is required. Experience with CUDA is a plus.

Application Instructions

Applications must be submitted electronically via Interfolio (http://apply.interfolio.com/143539) and should include a cover letter discussing research interests and projects; a current curriculum vitae; and at least two letters of recommendation. To ensure full consideration for the position, the application packet must be received by April 30, 2024 but the committee will continue to accept applications until the position is filled. All applications will be acknowledged. SMU is an equal opportunity employer. We particularly welcome applications from minority and women scholars. Hiring is contingent upon the satisfactory completion of a background check statement. Start date is May 1, 2024.

Equal Employment Opportunity Statement

SMU will not discriminate in any program or activity on the basis of race, color, religion, national origin, sex, age, disability, genetic information, veteran status, sexual orientation, or gender identity and expression. The Assistant Vice President for Access and Equity/Title IX Coordinator is designated to handle inquiries regarding nondiscrimination policies and may be reached at the Perkins Administration Building, Room 204, 6425 Boaz Lane, Dallas, TX 75205, 214-768-3601, accessequity@smu.edu.  

Location

Dallas, TX

Job Overview
Job Posted:
2 months ago
Job Expires:
Job Type
Full Time

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