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Pennsylvania State University Postdoctoral Scholar MatSE in University Park, Pennsylvania

APPLICATION INSTRUCTIONS:

  • CURRENT PENN STATE EMPLOYEE (faculty, staff, technical service, or student), please login to Workday to complete the internal application process (https://pennstateoffice365.sharepoint.com/:b:/s/KnowledgeBaseArticlesSharing/EfiwgKReZ4VAjprFZPKWUm0Bq_sU3KzTmERfpryq0esPKQ) . Please do not apply here, apply internally through Workday.

  • CURRENT PENN STATE STUDENT (not employed previously at the university) and seeking employment with Penn State, please login to Workday to complete the student application process. (https://pennstateoffice365.sharepoint.com/:b:/s/KnowledgeBaseArticlesSharing/Eeys15Xva4hFokHVtbP1eGIB5i1WFLc-J3k9KHgrFYZ7mg) Please do not apply here, apply internally through Workday.

  • If you are NOT a current employee or student, please click “Apply” and complete the application process for external applicants (https://hr.psu.edu/sites/hr/files/Application_Process_for_External_Applications_Non-Penn_State_Employees_.pdf) .

JOB DESCRIPTION AND POSITION REQUIREMENTS:

The College of Earth and Mineral Sciences of the Pennsylvania State University, University Park, PA, invites applications for a Postdoctoral Scholar position to begin on or after August 1, 2024. The position will focus on Ab Initio Molecular Dynamics (AIMD) to study polymer electrolytes, with a special interest in machine learning accelerated methods such as Neural Network potentials and physics-based potentials parameterized with machine learning methods. This work will be performed as part of the ongoing “Fast and Cooperative Ion Transport in Polymer-Based Electrolytes” (FaCT), a Department of Energy Frontier Research Center (EFRC).

Responsibilities:

The postdoctoral scholar will interact with leading researchers at Oak Ridge National Laboratory and partner academic institutions to,

  • Perform simulations that provide insight into material systems of interest.

  • Propose new materials of interest to our synthesis team based on simulation results.

    Qualifications and Requirements:

  • Applicants are expected to have completed a Ph.D. in Material Science and Engineering, Chemical Engineering, Chemistry, or a related field by the start of the position.

  • A successful candidate should have a strong record of related research experience in computational materials science, computational chemistry, and/or applied machine learning.

  • Extensive programming experience is required and familiarity with Density Functional Theory, MD, and/or AIMD is strongly preferred.

The Pennsylvania State University’s College of Earth and Mineral Sciences takes an active role in building a talented, inclusive, and culturally competent workforce. We understand that our shared future is guided by basic principles of fairness, mutual respect, and commitment to each other. Applicants should provide evidence, either woven through their application materials or as a separate diversity statement, of a commitment to fostering diversity, equity, inclusive excellence, and belonging and of engagement which creates an inclusive environment in their department/workplace.

Application Instructions:

This is a postdoctoral position funded for one year from the date of hire, with an excellent possibility of renewal pending available funding and satisfactory performance.

To apply, applicants should upload:

  • A cover letter detailing their qualifications for the position

  • A copy of their CV including a list of publications

  • Names and contact details (e-mail addresses and telephone numbers) for three references

Applications will be reviewed on a rolling basis beginning immediately and be accepted until the position is filled.

The position is based in the Department of Materials Science and Engineering, working under the joint supervision of Professors Susan B. Sinnott and Wesley Reinhart. There will also be opportunities to collaborate and interact with a large group of faculty, staff scientists, and students across the FaCT Center. As the position involves no responsibilities with physical laboratory equipment, flexible work arrangements, including hybrid and remote, will be considered on a case-by-case basis (with occasional travel to the University Park campus and Oak Ridge National Laboratory required).

CAMPUS SECURITY CRIME STATISTICS:

Pursuant to the Jeanne Clery Disclosure of Campus Security Policy and Campus Crime Statistics Act and the Pennsylvania Act of 1988, Penn State publishes a combined Annual Security and Annual Fire Safety Report (ASR). The ASR includes crime statistics and institutional policies concerning campus security, such as those concerning alcohol and drug use, crime prevention, the reporting of crimes, sexual assault, and other matters. The ASR is available for review here (https://police.psu.edu/annual-security-reports) .

Employment with the University will require successful completion of background check(s) in accordance with University policies.

EEO IS THE LAW

Penn State is an equal opportunity, affirmative action employer, and is committed to providing employment opportunities to all qualified applicants without regard to race, color, religion, age, sex, sexual orientation, gender identity, national origin, disability or protected veteran status. If you are unable to use our online application process due to an impairment or disability, please contact 814-865-1473.

Federal Contractors Labor Law Poster (https://affirmativeaction.psu.edu/files/2022/01/Federal-Contractors-Labor-Law-Poster.pdf)

PA State Labor Law Poster

Affirmative Action (https://policy.psu.edu/policies/hr11)

Penn State Policies

Copyright Information (https://www.psu.edu/copyright-information)

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