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Position: Postdoctoral Researcher, Materials Genomics
Institution: Johns Hopkins University
Location: Baltimore, Maryland, United States
Duties: The Entropy for Energy Laboratory at Johns Hopkins University's Department of Materials Science & Engineering (PI Corey Oses) has openings for postdoctoral researchers in computational materials science. Projects will focus on the discovery of high-entropy materials for clean hydrogen production, waste-heat conversion, and electric grid technology. Postdocs will be expected to perform high-throughput ab-initio calculations and employ machine learning/artificial intelligence algorithms for the analysis of materials synthesizability, stability, and functional properties
Requirements: Doctorate in Materials Science, Physics, Chemistry, Computer Science or related fields; Excellent communication skills in English, both written and verbal. The dissemination of research findings through peer-reviewed articles and presentations is mission critical
   
Text: | Faculty Careers Staff Jobs Faculty Careers Staff Jobs Browse Faculty Jobs Postdoctoral Researcher, Materials Genomics Requisition #: A-106748-3 Status: Full Time Type: Other School: Whiting School of Engineering Department/Program: Department of Materials Science and Engineering Location City: Baltimore Location State: MD Location Zip Code: 21218 Closing Date: Open until filled To apply: apply.interfolio.com/106748 General Description The Entropy for Energy Laboratory at Johns Hopkins University's Department of Materials Science & Engineering (PI Corey Oses) has openings for postdoctoral researchers in computational materials science. Projects will focus on the discovery of high-entropy materials for clean hydrogen production, waste-heat conversion, and electric grid technology. Postdocs will be expected to perform high-throughput ab-initio calculations and employ machine learning/artificial intelligence algorithms for the analysis of materials synthesizability, stability, and functional properties. Qualifications We are looking for qualified candidates that meet the following criteria: A. Doctorate in Materials Science, Physics, Chemistry, Computer Science or related fields. B. Excellent communication skills in English, both written and verbal. The dissemination of research findings through peer-reviewed articles and presentations is mission critical. C. Ability to lead research projects and collaborate with experimentalists. D. Understanding of thermodynamics of materials, solid-state physics, inorganic chemistry, and metallurgy. E. Strong programming skills in C++ and Python and proficiency with Unix systems. F. Proven experience with VASP, Quantum ESPRESSO, LAMMPS, or other ab-initio codes. G. Expertise in any of the following areas: high-entropy materials, disorder, phonons, magnetism, catalysis, machine learning, database/API development, aflow.org repository. Graduate students near the completion of their Ph.D. are welcome to apply. Application Instructions Submit a single PDF file via Interfolio named " LASTNAME _ FIRSTNAME _S4E_202205.pdf" containing: a cover letter, CV, and contact information for 3 references. The cover letter should address each point of the qualifications list explicitly ( i.e. , A, B, C, …). If you require sponsorship for work authorization, be sure to include this information in your cover letter. OPTIONAL: DOIs for 3 recent and relevant publications can be included at the end of the packet. Questions can be sent to Prof. Oses ( corey@jhu.edu ); subject line must contain "S4E Post-Doc". To apply for this position, visit: apply.interfolio.com/106748 The Johns Hopkins University is committed to equal opportunity for its faculty, staff, and students. To that end, the university does not discriminate on the basis of sex, gender, marital status, pregnancy, race, color, ethnicity, national origin, age, disability, religion, sexual orientation, gender identity or expression, veteran status or other legally protected characteristic. The university is committed to providing qualified individuals access to all academic and employment programs, benefits and activities on the basis of demonstrated ability, performance and merit without regard to personal factors that are irrelevant to the program involved. The successful candidate(s) for this position will be subject to a pre-employment background check. 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