Dear All, We have an open postdoc position in computational crystallography at the Brookhaven National Laboratory. For more details please see below.
Applications are accepted at the BNL careers page at https://jobs.bnl.gov/job/upton/res-associate-computational-science/3437/10020800 With best wishes and regards, Pavol ======================================================================== Research Associate in Computational Science Job ID: 1542 Date posted: 11/21/2018 Position Description -------------------- The successful candidate with work with Pavol Juhas in CSI alongside Ian Robinson and Mark Dean in the X-Ray Scattering Group and experts in molecular beam epitaxy, complex data analysis, ultra-fast electron diffraction and theory. While based in CSI, the successful candidate will work closely with the Condensed Matter Physics and Materials Science Department, which has a very strong tradition of research into strongly correlated materials using several experiment techniques including x-ray scattering, neutron scattering and photoelectron spectroscopy, etc. This is complemented by excellent sample synthesis capabilities and strong theoretical support. The X-ray Scattering Group specializes in Resonant Inelastic X-ray Scattering (RIXS), Bragg Coherent Diffraction Imaging (BCDI) and X-ray Total Scattering for Pair Distribution Function (PDF) and benefits from close collaboration with beam-lines at the National Synchrotron Light Source II. Position Requirements --------------------- Essential Duties and Responsibilities: The successful candidate will develop computational tools for Bragg Coherent Diffractive Imaging (BCDI) techniques used to probe charge and magnetic ordering in quantum materials in the ultrafast time domain. This involves strong understanding of applied mathematics in particular discrete Fourier Transformation. The candidate is expected to obtain an in-depth knowledge of BCDI theory and of associated data analysis protocols. Among the project challenges is to devise image-extraction algorithms that handle samples with non-diffracting support regions and also to utilize machine learning for a faster inversion of raw scattering data. The new computational tools will facilitate offline as well as live data analysis, and thus will need to handle high-data throughputs that are generated by state-of-the-art x-ray free electron laser (FEL) experiments. The candidate will participate in data analysis of the FEL measurements and in disseminating the conclusions in scientific publications and talks. Required Knowledge, Skills and Abilities ---------------------------------------- - A PhD in one of the following: computer science, applied mathematics, materials science, experimental condensed matter physics or a related field within 5 years of the application date. - Strong data analysis skills. Knowledge of programming languages such as Python, MATLAB, R, C. - Self-motivated and able to work both independently and as part of a team. - BNL policy requires that research associate appointments be made to individuals who have received their doctorate within the past five years. Preferred Knowledge, Skills, and Abilities ------------------------------------------ Experience with signal processing, phase retrieval, computational image processing. Knowledge of scientific data mining, genetic algorithms, machine learning or artificial intelligence. Experience in scattering techniques such as x-ray scattering, neutron scattering, photoelectron spectroscopy. Additional Information ---------------------- While principally based at Brookhaven National Laboratory, candidates should be willing to travel to carry out experiments at various national facilities. To find out more and to apply, please visit the BNL careers portal https://jobs.bnl.gov and look up job id "1542". ======================================================================== -- Dr. Pavol Juhas Computational Science Initiative Brookhaven National Laboratory P.O. Box 5000 Upton, NY 11973-5000 tel: +1-631-344-3594 fax: +1-631-344-5751
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