Job Description

Requisition Id 14070

Overview:

We are seeking a Postoctoral Researcher to work with Professor Jeremy C Smith along with a team of scientists modeling chemical and biophysical phenomena with deep learning assisted simulation methods. This position will perform modeling and simulation of biological systems in the Center for Molecular Biophysics, along with chemical systems for projects within neutron and chemical sciences at Oak Ridge National Laboratory. This will involve calculating forces and interactions between atoms in the systems as well as molecular dynamics and related modeling and simulation algorithms to understand fundamental behavior. This position resides in the Molecular Biophysics Group in the Biocomputing and Information Section, Biosciences Division, at Oak Ridge National Laboratory (ORNL), with collaboration with the Neutron Scattering Division, the Chemical Sciences Division, and the Center for Nanophase Materials Sciences.

Major Duties/Responsibilities:

• Perform modeling and simulation of biological macromolecular systems and crystalline solids
• Use deep learning methods to predict physical properties
• Calculating forces and interactions between atoms, including with deep learning approaches
• Using analysis algorithms to understand fundamental behavior
• Deliver ORNL’s mission by aligning behaviors, priorities, and interactions with our core values of Impact, Integrity, Teamwork, Safety, and Service. Promote diversity, equity, inclusion, and accessibility by fostering a respectful workplace – in how we treat one another, work together, and measure success.

Basic Qualifications:

• A PhD degree in computational biophysics, computational chemistry, or a related discipline.
• Extensive experience in atomistic computer simulations.
• Excellent working knowledge of chemistry and physics.
• Analytical skills necessary to collect information from diverse sources, perform analyses, summarize, and present the information to communicate data, trends, and solve problems
• Excellent written and verbal communication skills
• Ability to multitask

Preferred Qualifications:

• Previous experience using deep learning frameworks (PyTorch, TensorFlow) on GPU-accelerated resources for atomistic simulations
• Excellent written and oral communication skills.
• Motivated self-starter with the ability to work independently and to participate creatively in collaborative teams across the laboratory.
• Ability to function well in a fast-paced research environment, set priorities to accomplish multiple tasks within deadlines, and adapt to ever changing needs.

Special Requirements:

Applicants cannot have received their Ph.D. more than five years prior to the date of application and must complete all degree requirements before starting their appointment. The appointment length will be up to 12 months with the potential for extension. Initial appointments and extensions are subject to performance and availability of funding.

Please submit three letters of reference when applying to this position. You may upload these directly to your application or have them sent to [email protected] with the position title and number referenced in the subject line.

Instructions to upload documents to your candidate profile:

• Login to your account via jobs.ornl.gov
• View Profile
• Under the My Documents section, select Add a Document

Special Requirements:

• This position requires the ability to obtain and maintain an HSPD-12 PIV badge.

About ORNL

As a U.S. Department of Energy (DOE) Office of Science national laboratory, ORNL has an extraordinary 80-year history of solving the nation’s biggest problems. We have a dedicated and creative staff of over 6,000 people! Our vision for diversity, equity, inclusion, and accessibility (DEIA) is to cultivate an environment and practices that foster diversity in ideas and in the people across the organization, as well as to ensure ORNL is recognized as a workplace of choice. These elements are critical for enabling the execution of ORNL’s broader mission to accelerate scientific discoveries and their translation into energy, environment, and security solutions for the nation.

Benefits:

ORNL offers competitive pay and benefits programs to attract and retain individuals who demonstrate exceptional work behaviors. The laboratory provides a range of employee benefits, including medical and retirement plans and flexible work hours, to support the well-being of you and your family. Employee amenities such as on-site fitness, banking, and cafeteria facilities are also available for added convenience.

Other benefits include the following: Prescription Drug Plan, Dental Plan, Vision Plan, 401(k) Retirement Plan, Contributory Pension Plan, Life Insurance, Disability Benefits, Generous Vacation and Holidays, Parental Leave, Legal Insurance with Identity Theft Protection, Employee Assistance Plan, Flexible Spending Accounts, Health Savings Accounts, Wellness Programs, Educational Assistance, Relocation Assistance, and Employee Discounts.

If you have difficulty using the online application system or need an accommodation to apply due to a disability, please email: [email protected].

Please note that the pay range information is a general guideline only. Many factors are taken into consideration when setting starting pay. Salary for this position will be commensurate with the final candidate’s qualifications and experience, including skills, knowledge, relevant education, certifications, plus also aligned with the internal peer group. It is not typical for an individual to be offered a salary at or near the top of the range for a position. Link to benefits.

#LI-DNP

This position will remain open for a minimum of 5 days after which it will close when a qualified candidate is identified and/or hired.

We accept Word (.doc, .docx), Adobe (unsecured .pdf), Rich Text Format (.rtf), and HTML (.htm, .html) up to 5MB in size. Resumes from third party vendors will not be accepted; these resumes will be deleted and the candidates submitted will not be considered for employment.

If you have trouble applying for a position, please email [email protected].

ORNL is an equal opportunity employer. All qualified applicants, including individuals with disabilities and protected veterans, are encouraged to apply. UT-Battelle is an E-Verify employer.

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