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What are Postdoc DFT positions?

Postdoc DFT positions are postdoctoral research roles focused on Density Functional Theory (DFT), a computational quantum mechanical modeling method used in physics, chemistry, and materials science. These positions typically involve conducting advanced research using DFT to study the electronic structure of atoms, molecules, or solids. Postdocs in this area often work on developing new DFT methods, applying them to novel materials, or interpreting experimental results. The role requires a strong background in computational modeling, quantum mechanics, and often programming skills.

What are the key skills and qualifications needed to thrive as a Postdoc in Density Functional Theory (DFT), and why are they important?

To thrive as a Postdoc specializing in Density Functional Theory (DFT), you need a PhD in physics, chemistry, or materials science with a strong background in quantum mechanics and computational modeling. Proficiency in quantum chemistry software packages (such as VASP, Quantum ESPRESSO, or Gaussian), programming languages (like Python or Fortran), and experience with HPC systems is typically required. Strong analytical thinking, effective scientific communication, and the ability to work independently and collaboratively are standout soft skills. These competencies are crucial for conducting advanced research, publishing impactful results, and contributing to interdisciplinary scientific teams.

What are some common challenges faced by Postdoc DFT researchers when working on collaborative projects?

Postdoc DFT researchers often collaborate with experimentalists, theorists, and computational scientists, which requires clear communication and effective coordination. One common challenge is translating computational results into experimentally meaningful predictions, given the differences in language and expectations between disciplines. Additionally, managing computational resources and ensuring reproducibility of results can be demanding, especially when working with large datasets or complex systems. Working in interdisciplinary teams, postdocs must balance their independent research goals with group objectives and deadlines, fostering adaptability and strong teamwork skills.

What is the difference between Postdoc Dft vs Postdoctoral Research Associate?

AspectPostdoc DftPostdoctoral Research Associate
Required CredentialsPhD in relevant fieldPhD in relevant field
Work EnvironmentAcademic labs, research institutionsAcademic labs, research institutions
Employer & Industry UsageUniversities, research centersUniversities, research centers
Common Search & ComparisonYesYes

Both Postdoc Dft and Postdoctoral Research Associate roles typically require a PhD and involve research in academic or research institutions. The main difference lies in terminology; 'Postdoc Dft' is often used in specific regions or institutions, while 'Postdoctoral Research Associate' is more common in others. Both positions focus on advanced research, with similar work environments and employer types.

More about Postdoc Dft jobs
What cities are hiring for Postdoc Dft jobs? Cities with the most Postdoc Dft job openings:
What states have the most Postdoc Dft jobs? States with the most job openings for Postdoc Dft jobs include:
What job categories do people searching Postdoc Dft jobs look for? The top searched job categories for Postdoc Dft jobs are:
Postdoc Dft jobs near you
Artificial Intelligence and Computer Vision for Materials Postdoctoral Research Associate

Artificial Intelligence and Computer Vision for Materials Postdoctoral Research Associate

Los Alamos National Laboratory

Los Alamos, NM • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 3 days ago

Los Alamos National Laboratory rating

9.2

Company rating: 9.2 out of 10

Based on 32 frontline employees who took The Breakroom Quiz

8th of 103 rated laboratories

Job description

Description
Job Title Artificial Intelligence and Computer Vision for Materials Postdoctoral Research Associate
Location Los Alamos, NM, US
Organization Name MPA-CINT/ Center For Integrated Nanotechnologies
Minimum Salary
Maximum Salary
What You Will Do
The Materials Physics and Application Division -Center for Integrated Nanotechnologies (MPA-CINT) and Theoretical Division-Physics and Chemistry of Materials (T-1) at Los Alamos National Laboratory seeks a highly motivated post-doctoral candidate, in the areas of Computer Vision (CV), Artificial Intelligence (AI), and materials modeling, with an emphasis on characterizing micrographs/radiographs using computer vision and AI. Successful applicants will work in Group CINT of the Materials Physics and Application Division and collaborate with a larger group of scientists and postdocs from across organizations.
This postdoctoral position is part of a larger project that is focused on developing and utilizing computer vision models for characterizing materials micrographs/radiographs and classify defects, interfaces, and joints. To connect imaging-derived features to materials structure-property relationships. The successful applicant will be expected to integrate with the project team broadly and coordinate with experimentalists. The results are expected to be published in peer-reviewed journals and presented at prominent conferences. We provide unique opportunities for cross disciplinary collaborations, scientific workshop organization, and conference attendance. Outstanding applicants may be nominated for prestigious LANL-funded fellowships, enabling the pursuit of independent research.
What You Need
Minimum Job Requirements:
  • Demonstrated expertise in one or more of the following:
    • Advanced CV/AI for materials micrographs, including segmentation/classification of defects, interfaces, and joints (e.g., U-Net, Mask R-CNN, Vision Transformers).
    • Experience in training Artificial Intelligence models with PyTorch, TensorFlow
    • Materials modeling/atomistic simulation experience relevant to mechanics (e.g., MD/DFT, microstructure-property relationships, defect physics, or related modeling approaches).
    • Strong programming skills in Python (mainly scikit-image, OpenCV)
  • Demonstrated experience in conducting original scientific research through peer reviewed publication record.
  • Excellent communication skills (both oral and written).

Education/Experience: A STEM PhD in areas such as Materials Science, Computational Physics, Engineering, or related fields, completed within the last five years or soon to be completed.
Desired Qualifications:
  • Solid Background in materials science and engineering.
  • Experience in training AI and CV models on GPU-accelerated super computers, with large workloads, and familiarity with PyTorch Lightning, Hugging Face, LangChain etc.
  • Ability to adapt to new requirements for projects and be flexible enough to learn new areas of research as needed.
  • Ability to work effectively as a part of a team in a multi-disciplinary environment and interact with people with a variety of expertise.

Essential Job Functions (can perform with or without reasonable accommodation) :
Work Environment:
Work Location : The work location for this position is onsite and located in Los Alamos, NM. All work locations are at the discretion of management.
Note to Applicants:
Employment Status : Fulltime or part time options available
For more information on Postdoc program at LANL, please refer to https://www.lanl.gov/careers/career-options/postdoctoral-research/postdoc-program/index.php
Candidates may be considered for a Director's Fellowship and outstanding candidates may be considered for the prestigious Marie Curie, Richard P. Feynman, J. Robert Oppenheimer, or Frederick Reines Fellowships. For general program information, refer to the Postdoc Program web page https://www.lanl.gov/careers/career-options/postdoctoral-research/postdoc-program/index.php
Contact: Dr. Avanish Mishra (avanish@lanl.gov)
Dr. Saryu Fensin (saryuj@lanl.gov)
Due to federal restrictions contained in the current National Defense Authorization Act, citizens of the People's Republic of China-including the special administrative regions of Hong Kong and Macau-as well as citizens of the Islamic Republic of Iran, the Democratic People's Republic of Korea (North Korea), and the Russian Federation, who are not Lawful Permanent Residents ("green card" holders) are prohibited from accessing facilities that support the mission, functions, and operations of national security laboratories and nuclear weapons production facilities, which includes Los Alamos National Laboratory.
Where You Will Work
Located in beautiful northern New Mexico, Los Alamos National Laboratory (LANL) is a multidisciplinary research institution engaged in strategic science on behalf of national security. Our generous benefits package includes:
  • PPO or High Deductible medical insurance with the same large nationwide network
  • Dental and vision insurance
  • Free basic life and disability insurance
  • Paid childbirth and parental leave
  • Award-winning 401(k) (6% matching plus 3.5% annually)
  • Learning opportunities and tuition assistance
  • Flexible schedules and time off (PTO and holidays)
  • Onsite gyms and wellness programs
  • Extensive relocation packages (outside a 50 mile radius)
Additional Details
Directive 206.2 - Employment with Triad requires a favorable decision by NNSA indicating employee is suitable under NNSA Supplemental Directive 206.2 . Please note that this requirement applies only to citizens of the United States. Foreign nationals are subject to a similar requirement under DOE Order 142.3A.
No Clearance: Position does not require a security clearance. Selected candidates will be subject to drug testing and other pre-employment background checks.
426.2A: This position is subject to DOE Order 426.2A, Personnel Selection, Training, and Qualification Requirements for DOE Nuclear Facilities, which establishes entry-level requirements to ensure candidates selected for specific positions can successfully perform the requirements of the job.
New-Employment Drug Test: The Laboratory requires successful applicants to complete a new-employment drug test and maintains a substance abuse policy that includes random drug testing. Although New Mexico and other states have legalized the use of marijuana, use and possession of marijuana remain illegal under federal law. A positive drug test for marijuana will result in termination of employment, even if the use was pre-offer.
Internal Applicants: Regular appointment employees who have served the required period of continuous service in their current position are eligible to apply for posted jobs throughout the Laboratory. If an employee has not served the required period of continuous service, they may only apply for Laboratory jobs with the documented approval of their Division Leader. Please refer to Policy Policy P701 for applicant eligibility requirements.
Equal Opportunity: Los Alamos National Laboratory is an equal opportunity employer. All employment practices are based on qualification and merit, without regard to protected categories such as race, color, national origin, ancestry, religion, age, sex, gender identity, sexual orientation, marital status or spousal affiliation, physical or mental disability, medical conditions, pregnancy, status as a protected veteran, genetic information, or citizenship within the limits imposed by federal, state, and local laws and regulations. The Laboratory is also committed to making our workplace accessible to individuals with disabilities and will provide reasonable accommodations, upon request, for individuals to participate in the application and hiring process. To request such an accommodation, please send an email to applyhelp@lanl.gov or call (505)-664-6947.
Instructions on How to Activate/Create a LANL Jobs Account:
Follow the instructions below if you have ever had an employee Z number, been a contractor, or received Los Alamos Lab insurance coverage to activate your account:
  • Select the Click Here button if you have been employed with the Lab or received insurance coverage .
  • Please enter only your first and last name and current email address (an email with your validation code will be sent to you) to activate the account currently in our system.
  • Enter your validation code as described in the email you receive and complete the 3-page registration form. Your account is now active, and you can apply for jobs or save to your basket. Important : Enter the validation code within 15 days to activate your account or your account will be deactivated.

Follow the instructions below if you if you have never been employed with the Lab or received insurance coverage to create an account:
  • Select the Register button if you have never been employed with the Lab or received insurance coverage to Create an Account.
  • From here, you will establish an account with username and password.

How to Apply: Login to Your Account to Complete the Application Process
  • Click the Vacancy Name number (in blue) to view any job's details.
  • Click Apply or Add to Basket to apply later. Tip : To apply for a job or save your basket, you must have a LANL jobs account.

If you experience any technical issues, please email applyhelp@lanl.gov for assistance.
Employment Status Full Time
Appointment Type Postdoc
Postdoc

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