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.
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.
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.
SMU is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, age, disability, genetic information, veteran status, sexual orientation, or gender identity and expression.
