13 computational-materials-physics Postdoctoral positions at Brookhaven Lab in United-States
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applies platforms for state-of-the-art techniques for Accelerated Nanomaterial Discovery, integrating synthesis, advanced characterization, physical modeling, and computer science to iteratively explore a
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research community to study materials with nanoscale resolution and exquisite sensitivity by providing cutting-edge capabilities. This facility is open to users from academia and industry. Its operations
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, and support proposal development. Required Knowledge, Skills, and Abilities: Ph.D. in Physics, Computer Science, Applied Mathematics, Engineering, or a related field. Strong programming experience
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strong interest in and experience with the LHC scientific program This position has a high level of interaction with an international and multicultural scientific community. The Omega Group in the Physics
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essential for progress on all aspects of this program. Required Knowledge, Skills, and Abilities: Ph.D. in experimental particle or nuclear physics or related field. Experience with high- and medium-energy
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Apply Now Job ID JR101897Date posted 07/07/2025 The Condensed Matter Physics and Materials Science Division (CMPMSD)at Brookhaven National Laboratory conducts a wide-ranging research program
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Apply Now Job ID JR101944Date posted 07/30/2025 The High Energy Theory Group (HET) has active programs in many areas of theoretical particle physics. There are strong efforts in neutrino physics
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Apply Now Job ID JR101857Date posted 06/16/2025 Scientists in Brookhaven’s Condensed Matter Physics and Materials Science Division (CMPMSD) study basic and applied aspects of quantum materials and
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transformations, quantum information science, microelectronics and energy storage. The research will involve the use of pulse radiolysis at the Chemistry Division’s 9 MeV Laser Electron Accelerator Facility (LEAF
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experiment at the EIC. The program includes data analysis involving polarized targets at Jefferson Lab as well as full detector and physics simulations for ePIC. In addition, the candidate will collaborate