Posting Number: F00397
Full Time/Part Time: Full-time
Department: Center for Advanced Computing & Data Systems:H0246
Duties and Responsibilities:
The Center for Advanced Computing and Data Systems (CACDS) at the University of Houston (UH) is actively seeking a Research Assistant Professor to work with faculty/staff on targeted large-scale life science and biological science focusing specifically on the use of GPU’s and accelerators to optimize HPC performance in these research endeavors.
The main job responsibilities include:
1) Porting non-GPU to run on GPU’S
2) Design and optimize applications’ workflow and pipelines;
3) Parallelize and optimize application through different programming models and languages;
4) Performance analysis;
5) Participate in the development of funding proposals, publications and reports.
About the Center for Advanced Computing and Data Systems:
The Center for Advanced Computing and Data Systems (CACDS) provides high performance computing resources to advance Tier One research and education goals at the University of Houston (UH). The primary goals of the CACDS are to provide access to HPC and data storage resources along with expert training, consulting, and technical support. CACDS assists in and supports the development and/or execution of HPC-related research activities, provides critical training and expertise in current and emerging HPC technologies, and facilitates cutting edge interdisciplinary research that generates practical solutions to academic and industrial grand challenge problems.
About University of Houston:
The University of Houston is located in a park-like campus close to the Texas Medical Center, the largest in the world, and NASA. The Carnegie Foundation recognized UH as a public research university with very high research activity. Houston is a thriving city with an internationally diverse population, first-rate recreational opportunities, excellent schools, and affordable housing. The University of Houston is an ADVANCE institution, one of a select group of universities funding by NSF in support of our commitment to increase diversity and the participation and advancement of women in STEM.
The University of Houston is an equal opportunity/affirmative action employer. Minorities, women, veterans, and persons with disabilities are encouraged to apply.
PhD in Biological or Life Sciences with demonstrated expertise in computational science/high performance.
2 years post-doctoral experience in a high performance computing technical support position.
The candidate should have strong system and application optimization skills including:
1) Hand-On experience with scientific code development and optimization based on GPU;
2) Strong programming skills using C/C/++, Fortran, CUDA, along with excellent problem-solving and debugging abilities;
3) Extensive experience with programming models including OpenACC, OpenMP, and MPI;
The successful applicant should have the ability to work in a team oriented, collaborative environment and manage multiple projects simultaneously. Excellent communication and technical writing skills are a must.
Special Instructions to the Applicant:
Official transcripts are required for a faculty appointment and will be requested upon selection of final candidate.
All positions at the University of Houston are security sensitive and will require a criminal history check.
Desired Employee Start Date: 09/01/2017