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Research Corporation of the University of Hawaii Dba RCUH COSMOLOGY POSTDOCTORAL FELLOWSHIP - ID# 224844 in Honolulu, Hawaii

Please apply directly on the RCUH website to be considered for the position.

COSMOLOGY POSTDOCTORAL FELLOWSHIP - ID# 224844.

CLOSING DATE:

January 30, 2025, or until filled. Applications received after this deadline may be considered only if the position is not filled or up to the date a selection has been approved by the RCUH (whichever comes first)

.

INQUIRIES: Dr. Istvan Szapudi istvan@hawaii.edu

(Oahu).

Non-Regular, Full-Time, Limited Term (up to three (3) years in duration), RCUH Non-Civil Service position with the Institute for Astronomy (IfA), located in Honolulu, Hawaii. Continuation of employment is dependent upon program/operational needs, satisfactory work performance, availability of funds, and compliance with applicable Federal/State laws.

MONTHLY SALARY: $5,981/Mon.

DUTIES:

Performs research in cosmology, creating galaxy catalogs, estimating photometric redshifts, analyzing the resulting large scale structure (LSS) data along with Cosmic Microwave Background (CMB), with special emphasis on the Integrated Sachs-Wolfe (ISW) effect, CMB anomalies, and spatial statistical and machine learning techniques.

PRIMARY QUALIFICATIONS:


EDUCATION PhD from an accredited college or university in Astronomy or Physics. (PhD candidates may apply but must submit evidence of PhD completion upon hire.).

EXPERIENCE One to three (1-3) years of experience in creating galaxy catalogs, photometric redshifts, statistical analysis of CMB and LSS data sets, research in cosmology, using image processing software, and computational techniques. Experience with machine learning techniques, including convolutional neural networks, generative networks.

KNOWLEDGE Proficient knowledge of current research in cosmology, computational and statistical techniques, Integrated Sachs-Wolfe (ISW) effect, Dark Energy, and Baryon Acoustic Oscillation (BAO). Knowledge of machine learning techniques, including convolutional neural networks, generative networks.

ABILITIES and SKILLS Proficiency in Python/Numpy, and C. Proficient with data bases and photos packages, Code for Anisotropies in the Microwave Background (CAMB), CosmoMC, or equivalent. Proficient in maintenance of Linux and OS X systems.

Post Offer/Employment Condition: Must be able to complete the UH Information Security Awareness Training (ISAT) within two (2) weeks from date of hire, and re-certify every twelve (12) months.

POLICY/REGULATORY REQUIREMENT As a condition of employment, employee will be subject to all applicable RCUH policies, procedures, and trainings and, as applicable, subject to University of Hawaii's and/or business entity's policies, procedures, and trainings. Violation of RCUH's, UH's, or business entity's policies and/or procedures or applicable State or Federal laws and/or regulations may lead to disciplinary action (including, but not limited to possible termination of employment, personal fines, civil and/or criminal penalties, etc.).


SECONDARY QUALIFICATIONS:


Knowledge of high performance/high throughput computing, statistics (specifically Bayesian), Compute Unified Device Architecture (CUDA)/graphics programming. Experience with observational techniques and data reduction (optical imaging) and cosmological n-body simulations is desirable.


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