Job announcements relevant to people interested in electronic structure calculations…

Due to the large number of posts recently, there is currently a delay of several weeks between posts being submitted and the corresponding emails being distributed to all users. Please bear with us while we try to improve this. In the meantime – and until this notice is removed – it would assist us considerably if you could submit only important and/or urgent posts and thus help to reduce the size of the mail queue. Under no circumstances should you resend posts multiple times when you find the emails are not distributed immediately.

In light of the Russian military offensive in Ukraine, we request that announcements relating to events, jobs and other activities associated with institutions supported by the Russian and Belarusian states are not posted to the Psi-k forum.

Postdoc Position, Machine Learning for X-ray mic ... (No replies)

wendydi

5 years ago

wendydi 5 years ago

The Advanced Photon Source (APS), and the Laboratory for Applied mathematics, Numerical Software, and

Statistics (LANS), Mathematics and Computer Science Division at Argonne National Laboratory invite applicants for a postdoctoral position in the area of utilizing machine learning for large-scale ptychographic experiments, an essential tool for high-resolution and nondestructive material characterization (X-ray and electron imaging). Postdoctoral appointees will investigate and develop semi-supervised, unsupervised, and active learning algorithms to understand object structure from scanning diffraction patterns, facilitate smart data collection, and create optimal experimental designs. Candidates interested in applying developments in deep clustering and active learning for challenging large- scale data analysis in importation applications will find a stimulating environment.

 

Postdoctoral appointees will have access to multidisciplinary collaborations, world-class mathematical libraries, special-purpose hardware for machine learning, expected deployment of the US's first exascale supercomputer, and a thousandfold upgrade in brightness of the APS' x-rays.

 

An expected/recent doctoral degree in applied mathematics, computer science, computational physics, imaging, machine learning, signal processing, computational materials/chemistry/physics or related fields. Knowledge is desired in one or more of machine/deep learning, clustering, scientific computing, mathematical optimization, statistical inversion, inverse problems, phase retrieval, imaging.  Applicants should include a cover letter (detailing their research interests and career goals) and contact

information for three references.

 

The start date for this position is

flexible. U.S. citizenship/permanent residency is not required.

 

Apply at: http://bit.ly/338oH2f