The high-performance graph analytics research group (https://hipgraph.luddy.indiana.edu/)
at Luddy School of Informatics, Computing, and Engineering has one
open postdoctoral position on high-performance graph analysis and
graph machine learning. The appointment will start in Fall
2022. PhD is required at time of start date.
The postdoc will join a dynamic and interdisciplinary team that
includes computer and physical scientists. The postdocs will work
with Prof. Ariful Azad on various areas of high-performance
computing (shared-memory and distributed-memory systems), new graph
machine learning methods (supervised and unsupervised), sparse
matrix algorithms and libraries, and applications of graph analysis
in computational biology, earth sciences, and energy sciences.
A PhD is required, in computer science, computer engineering, or
a related field; a strong background in graph analysis and
high-performance computing; and solid parallel programming skills
(e.g., OpenMP, MPI, CUDA, etc.) necessary to analyze large and
sparse data. The applicant should be fluent in C++ and Python
programming. A solid background in linear algebra and algorithms is
Salary: Commensurate with qualifications and experience,
plus generous benefits.
Rank: Postdoctoral Fellow (RSP)
Appointment Type: Twelve-month full-time non-tenure track
appointment with potential to be extended annually for a maximum
term of 5 years, subject to satisfactory performance and funding;
Position is currently funded for three years.
Apply Online at: http://indiana.peopleadmin.com/postings/12999
Special Instructions: Interested applicants should upload
a letter of interest, CV, and contact information for three
professional references using above application link.
Questions may be sent to firstname.lastname@example.org
For Full Consideration Apply By: July 31, 2022
Ideal Start Date for position: September 15,
Indiana University is an equal employment and affirmative action
employer and a provider of ADA services. All qualified applicants
will receive consideration for employment based on individual
qualifications. Indiana University prohibits discrimination based
on age, ethnicity, color, race, religion,