Monday, August 6, 2018

[DMANET] Algorithm Engineering for Big Data Analytics Postdoc in Los Alamos National Laboratory

Algorithm Engineering for Big Data Analytics Postdoc
Los Alamos, New Mexico, USA

Los Alamos National Laboratory (LANL) has an opening for a creative and resourceful postdoc candidate with algorithm engineering and applied math skills. The successful candidate will work on developing and applying novel methods and computational techniques for large dataset analysis based on tensor networks. The research is expected to produce a series of peer-reviewed publications in high-impact journals. The term of the appointment is 2 years, with the option to extend to a third year depending on the performance and funding availability.

The successful candidate will join a dynamic and interdisciplinary team that is working on projects related to strategic national-interest problems dealing with development of new machine learning methods. Our research includes active collaborations with universities and other national laboratories. The project also includes extensive research work related to high-performance computing. Access will be provided to state-of-the-art computing facilities within LANL.

Minimum Job Requirements:

Applicants must have skills in:
(1) algorithm design
(2) code development
(3) problem decomposition and load balancing for parallel computing
(4) demonstrated record of peer-reviewed publications

Desired Skills:

Preference will be given to applicants with experience in:
(1) application and development of matrix and tensor (multidimensional array) methods
(2) graph and hypergraph partitioning
(3) CPU+GPU programming
(4) machine learning

Education: A Ph.D. in Mathematics, Computer Science, Applied Mathematics, Statistics, Engineering or Physics, completed within the last five years or soon to be completed is required.

Notes to Applicants:

For further information, check out LANL offers an excellent working environment and competitive compensation and benefits package.

US citizenship is not required for this position.

Interested candidates should send their CVs to Hristo Djidjev (

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