Postdoctoral Fellow in Graph Analytics and High Performance Computing

Luddy School of Informatics, Computing, and Engineering, Indiana University
Indiana, United States
Salary Commensurate with experience
Posted Date
Jun 15, 2022

View more

Position Type
Faculty Positions, Science, Technology & Mathematics, Computer Sciences & Technology, Other Science & Technology
Employment Level
Non-Tenured Track
Employment Type
Full Time

The high-performance graph analytics research group ( 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.

Minimum Qualifications: 

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 recommended. 

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:

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

For Full Consideration Apply By: July 31, 2022

Ideal Start Date for position: September 15, 2022  

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,

Get job alerts

Create a job alert and receive personalized job recommendations straight to your inbox.

Create alert