Postdoctoral Scholar - Computer Science and Engineering
University of California, Merced
Application
Details
Posted: 06-Dec-22
Location: Merced, California
Employment Type:
Postdoc
Organization Type:
Higher Education Institution
Salary Details:
Salary is based on the University of California Academic Salary Scales.
Required Education:
Doctorate/Professional
Internal Number: JPF01460
Position overview
Position title: Postdoctoral Scholar
Salary range: Salary is based on the University of California Academic Salary Scales.
Percent time: 100%
Anticipated start: As soon as January 1, 2023. Exact start date negotiable.
Position duration: One year
Application Window
Open date: December 5, 2022
Next review date:Monday, Dec 19, 2022 at 11:59pm (Pacific Time) Apply by this date to ensure full consideration by the committee.
Final date: Thursday, Jun 1, 2023 at 11:59pm (Pacific Time) Applications will continue to be accepted until this date, but those received after the review date will only be considered if the position has not yet been filled.
Position description
A full-time Postdoctoral Scholar position is available in Dr. Xiaoyi Lu’s PADSYS Lab to investigate scalable system software for emerging scientific applications such as disease surveillance, real-time data processing, deep learning, and so on. Specifically, the Postdoctoral Scholar is expected to conduct intellectual research involving parallel and distributed computing, deep learning system software, and parallel algorithm optimization with the guidance of the PI, write research articles with the PI aimed at disseminating the obtained results from the research performed in the PADSYS Lab and play an essential role in mentoring graduate and undergraduate students.
As a condition of employment, you will be required to comply with the University of California SARS-CoV-2 (COVID-19) Vaccination Program Policy: https://policy.ucop.edu/doc/5000695/SARS-CoV-2_Covid-19. All Covered Individuals under the policy must provide proof of Full Vaccination or, if applicable, submit a request for Exception (based on Medical Exemption, Disability, and/or Religious Objection) or Deferral (based on pregnancy) no later than the applicable deadline. New University of California employees should refer to Appendix F, Section II.C. of the policy for applicable deadlines. (Capitalized terms in this paragraph are defined in the policy.) Federal, state, or local public health directives may impose additional requirements.
Qualifications
Basic qualifications
Applicants are required to have a Ph. D. in Electrical Engineering and Computer Science or a related field. Strong written and verbal communication skills are required.
Additional qualifications
Experience in one or more of the following: high-performance computing (MPI, OpenMP, and CUDA), Big Data analytics (Hadoop, Spark), deep learning (PyTorch, TensorFlow), cloud computing, Bayesian methods, and so on. The successful candidate will have at least 1-2 first-author peer-reviewed research papers in major HPC and Big Data conferences.
Preferred qualifications
Applicants are preferred to have a strong background in mathematics or algorithm design. Additional publications in other areas will be a plus.
Application Requirements
Document requirements
Curriculum Vitae - Your most recently updated C.V.
Cover Letter - Cover Letter indicating research interests
The University of California is an Equal Employment Opportunity/Affirmative Action employer and invites applications from all qualified applicants, including women, minorities, veterans, and individual with disabilities, who will enrich the teaching, research and public service missions of the university. All qualified applicants will be considered for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age or protected veteran status. For the complete University of California nondiscrimination and affirmative action policy, see: UC Nondiscrimination & Affirmative Action Policy (https://policy.ucop.edu/doc/4000376/DiscHarassAffirmAction).
The University of California, Merced, is the newest of the University of California system’s 10 campuses. With over 9,000 undergraduate and graduate students (https://www.ucmerced.edu/fast-facts), UC Merced provides outstanding educational opportunities to highly qualified students from the heart of California, the nation, and abroad. The campus has special connections to nearby Yosemite National Park; is on the cutting edge of sustainability in construction and design; and supports the economic development of Central California. The Merced 2020 Project doubled the physical capacity of the campus, and enhanced academic distinction, student success, and research excellence (https://merced2020.ucmerced.edu/).
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.