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This job was posted by https://www.kansasworks.com : For more information, please see: https://www.kansasworks.com/jobs/13108658

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rFellow (Post Doc)

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rAbout This Role

We seek a highly motivated, creative, and self-driven Postdoctoral Researcher to explore the statistical mechanics of soft matter and biological systems. The successful candidate will join the Group of Prof. Buddhapriya (Buddho) Chakrabarti in the Department of Physics and Astronomy and the Biomanufacturing Cluster at Kansas State University. The research objectives of this position involve a unique blend of computational and analytical techniques, to answer fundamental problems at the interface of soft matter and biology. The soft-matter objectives are industry-focused, while those on biophysics are curiosity-driven.

Responsibilities for this role include:

1) Conduct comprehensive and up-to-date literature surveys and perform a gap analysis.

2) Design and execute simulations and analytical calculations as per the project requirements and collaborate with team members.

3) Prepare clear, concise, and visually appealing presentations based on research findings and present them at internal and external meetings, conferences, and workshops.

4) Develop, maintain, and document computational codes used in research. Ensure rigorous methodology and reproducibility of results. Curate and manage datasets, ensuring data integrity and compliance with institutional and funding agency guidelines.

5) Provide guidance and support to graduate and master\'s students, including training in research techniques and data analysis.

6) Collaborate on writing grant proposals to secure funding for ongoing and future research projects.

7) Adhere to the highest standards of professional conduct and research integrity. Comply with institutional policies, funding agency guidelines, and ethical standards in all research activities. Report any concerns regarding research misconduct or ethical breaches promptly.

About Us

The Physics Department at K-State is composed of a dynamic group of tenure-track, research, and instructional faculty, as well as outstanding postdoctoral research fellows, graduate students, undergraduate researchers, and professional staff. All members of this team contribute in essential ways the department\'s land-grant, public research university commitment to teaching and learning, research, and service to the people of Kansas, the nation, and the world.

Worksite Option

This position is on-site.

An employee who is working remotely must reside within the United States in order to comply with all federal and state laws, filings, or tax requirements. Remote work agreements are required for all flexible work arrangements and are subject to review. Review K-State\'s remote work policy details for more information.

What You\'ll Need to Succeed

Minimum Qualifications:

• Ph.D. in Physics with a preferred focus on Soft-Matter and Biological Physics or related fields.

Preferred Qualifications:

• Expertise in statistical mechanics and computational modelling of soft matter
• Expertise in Coarse-Grained Molecular Dynamics simulations e.g., LAMMPS/GROMACS, and data visualization in OVITO
• Expertise in numerical solutions of ordinary, partial, stochastic, and delay differential equations - in C/C++/FORTRAN/Python/MATLAB
• Expertise in Symbolic computation in MATHEMATICA
• Familiarity with continuum mechanics - e.g., elasticity and fluid mechanics
• Familiarity with techniques of statistical field theory including mean-field and self-consistent field theories

Other Requirements:

• Applicant must be currently a thorized to work in the United States at the time of hire.

How to Apply

Please submit the following documents:

1. Cover letter
2. CV
3. A list of three academic references

Screening of Applications Begins

Immediately and continues until position is filled.

Anticipated Hiring Pay Range

\$47,500 - \$60,000

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rAdvertised:

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rTo apply, visit https://careers.k-state.edu/jobs/fellow-post-doc-manhattan-kansas-united-states-fe9f7e81-27b8-47e7-9243-f078d702d179

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