The University of California, Merced, is the newest of the University of California system’s 10 campuses and the first American research university built in the 21st century. With more than 7,500 undergraduate and graduate students, UC Merced offers an environment that combines a commitment to diversity, inclusion, collaboration and professional development. With bachelor’s, master’s and doctoral degree programs, strong research and academic partnerships, and community involvement, the UC Merced campus is continually evolving and requires talented, knowledgeable and dynamic educators, researchers, management and staff.
Ranked among the best public universities in the nation by U.S. News and World Report, UC Merced is uniquely equipped to provide educational opportunities to highly qualified students from the San Joaquin Valley and throughout California. The campus enjoys a special connection with nearby Yosemite National Park, is on the cutting edge of sustainability in construction and design, and supports the economic development of Merced and the region.
In Fall 2016, UC Merced broke ground on a $1.3 billion public-private partnership that is unprecedented in higher education. The Merced 2020 Project will nearly double the physical capacity of the campus by 2020, enhancing academic distinction, student success and research excellence. UC Merced has also recently built the Downtown Campus Center, a $33 million, three-story administrative building in the heart of Merced.
Parallel Architecture, System, and Algorithm lab (PASA) directed by Dr. Dong Li, is looking for a self-motivated, creative, enthusiastic and highly qualified postdoctoral scholar expert in high performance computing to work on a project on improving performance and energy efficiency of machine learning workloads on heterogeneous parallel systems (GPU and FPGA), and applying machine learning to improve performance of HPC applications. The PASA lab is currently investigating a variety of problems related to runtime, architecture, performance modeling, and programming models for parallel systems. More information can be found at (http://pasa.ucmerced.edu/).
The successful candidate will have previous training and established track record in accelerator programming (e.g., GPU and FPGA), performance optimization, and runtime design. The postdoctoral researcher is expected to stay abreast of recent publications in the field, carry out research independently, implement and develop research ideas and publish research results in leading conferences and journals. The postdoctoral scholar is also expected to assist with managing the project, directing the research of undergraduate and graduate students, coordinating research across the team, and preparing project deliverables for the sponsor. Anticipated research funding for the post-doc position is available for 24 months, with a likely extension based on continuation of funding, project and satisfactory performance.
Qualifications: Applicants must have a PhD degree in computer science, computer engineering, or a related field, conferred by the start date of the position. Strong written and verbal communication skills are required. Highly self-motivated individuals who have demonstrated the ability to conduct scientific research successfully and work independently are desirable.
The candidate should have demonstrable experience in at least two, preferably more, of the following areas: 1) machine learning theory (e.g., neural network, regression, and SVM); 2) CUDA and OpenCL; 3) compiler-based static analysis (e.g., LLVM and Rose); 4) Verilog or VHDL for programming FPGA; 5) machine learning framework (e.g., tensorflow and Caffe2).
Interested applicants are required to submit 1) a cover letter 2) curriculum vitae and 3) a list of three references with contact information including mailing address, phone number and e-mail address; this will be submitted through the Recruit system.
Salary is based on the University of California Academic Salary Scales. Review of applications will begin immediately. The deadline for applications is June 15, 2019, with applications continuing to be considered until the position is filled. Starting dates are negotiable.
The University of California, Merced is an equal opportunity/affirmative action employer with a strong institutional commitment to the achievement of diversity among its faculty, students and staff. The University is supportive of dual career couples.
Applicants must have a PhD degree in computer science, computer engineering, or a related field, conferred by the start date of the position. Strong written and verbal communication skills are required.
Internal Number: JPF00676
About University of California, Merced
UC Merced is the first new American research university built in the 21st century, with a mission of research, teaching and service. The campus opened Sept. 5, 2005, in the San Joaquin Valley. The university is about an hour north of Fresno, two hours south of Sacramento, two hours southeast of San Francisco and the Silicon Valley, and 90 minutes west of Yosemite National Park.