Postdoctoral Fellow in Graph Analytics and High Performance Computing

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.

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:  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 azad@iu.edu

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,