Graduate Student Intern in ML for materials modeling

** What You Will Do*
* Staff in the AI4ND group in the X-Computational Physics Division at Los Alamos National Laboratory are seeking a candidate for a 10 to 12 weeks Graduate Student Internship focusing on computational material science, with an emphasis on the development of novel data generation methods for training robust ML models. The position supports several research projects focused on the development of highly transferable Machine Learned Interatomic Potentials and in their application to a broad range of physical systems including low-dimensional systems and extreme conditions.

The research will involve the design, implementation, and evaluation of advanced computational algorithms to:

+ Characterize the diversity of training datasets along several metrics

+  Develop training data generation algorithm to maximize diversity along these metrics

+  Train ML models to generated datasets

+  Extensively validate the models for accuracy and transferability

The student will implement the developed methods in Python or Julia.

The ideal candidate will be pursuing the above topic for their own research in their university.

** What You Need*
* ** Minimum

Job Requirements:

*
* + Familiarity with modern ML approaches to surrogate model design and training

+   Demonstrated expertise with the development and use of ML interatomic potentials for materials

+   Strong programming experience with differentiable programming frameworks (Python, Julia)

+   Strong written and oral communication skills

+   Demonstrated ability to conduct independent and collaborative research

** Education/Experience** :

+ Must be enrolled (6 semester credit hours or full-time equivalent) in an accredited, degree-granting graduate level program (or international equivalent) in Physics, Chemistry, Materials Science, Applied Mathematics, or related fields

+   Must currently have and maintain a cumulative GPA of at least 3.2 on a 4.0 scale (or equivalent).

** Desired

Qualifications:

*
* + Experience carrying out and analyzing atomistic simulation of materials using molecular dynamics

+   

Experience with dataset generation using Density Functional Theory

+   Demonstrated ability to design and implement modular scientific software

*
* 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:*
* 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.

No clearance requirement:
Position does not require a security clearance. Selected candidates will be subject to drug testing and other pre-employment background checks.

** Required Application Materials** :

+ Current resume

+   Current official transcripts

+   Personal statement of interest (not to exceed one page)

** 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…