PhD Intern Decision Intelligence

Job description

**Overview**
At PNNL, our core capabilities are divided among major departments that we refer to as Directorates within the Lab, focused on a specific area of scientific research or other function, with its own leadership team and dedicated budget.
Our Science & Technology directorates include National Security, Earth and Biological Sciences, Physical and Computational Sciences, and Energy and Environment.

In addition, we have an Environmental Molecular Sciences Laboratory, a Department of Energy, Office of Science user facility housed on the PNNL campus.
The Advanced Computing, Mathematics, and Data Division (ACMDD) focuses on basic and applied computing research encompassing artificial intelligence, applied mathematics, computing technologies, and data and computational engineering.

Our scientists and engineers apply end-to-end co-design principles to advance future energy-efficient computing systems and design the next generation of algorithms to analyze, model, understand, and control the behavior of complex systems in science, energy, and national security.
**Responsibilities**
The Pacific Northwest National Laboratory (PNNL) seeks research interns with the focus on foundational graph models, graph representation learning, graph neural networks, scientific machine learning and applications to electronic design automation.
The candidate should have experience with or interest in scientific software development and management of scientific data in accordance with the FAIR principles.

The emphasis will be given to design and development of graph neural networks, large language models, or applications in science.

The successful candidates are also expected to help summarize the technical findings and contribute to peer-reviewed publications.

The successful candidates will be collaborating on a multi-disciplinary technical team and must have strong communication and interpersonal skills.
**Qualifications**
Minimum Qualifications:
+ Candidates must be currently enrolled/matriculated in a PhD program at an accredited college.
+ Minimum GPA of 3.0 is required.
Preferred Qualifications:
+ Strong skills in selected areas of applied mathematics (e.g., analysis, linear algebra, machine learning, graph theory, topology, operator theory).
+ Proficiency in Python language and data science packages (e.g., Numpy, Pandas, SciPy, Matplotlib).
+ Proficiency with software version control systems (such as Git).
+ Proficiency in modern machine learning libraries (such as Pytorch or Tensorflow) is a plus
+ Experience with modern deep learning methods (e.g., graph neural networks, foundation models, large language models) is a plus.
+ Background in basic and applied energy sciences (e.g., computational physics, or computational chemistry, power systems) is a plus.
+ Publication record in scientific conferences such as NeurIPS, ICML, ICLR, AAAI is a plus.
**About PNNL**
Pacific Northwest National Laboratory (PNNL) is a world-class research institution powered by a highly educated, diverse workforce committed to the values of Integrity, Creativity, Collaboration, Impact, and Courage.

Every year, scores of dynamic, driven people come to PNNL to work with renowned researchers on meaningful science, innovations and outcomes for the U.S. Department of Energy and other sponsors; here is your chance to be one of them!
At PNNL, you will find an exciting research environment and excellent benefits including health insurance, and flexible work schedules.

PNNL is located in eastern Washington State—the dry side of Washington known for its stellar outdoor recreation and affordable cost of living.

The Lab’s campus is only a 45-minute flight (or ~3 hour drive) from Seattle or Portland, and is serviced by the convenient PSC airport, connected to 8 major hubs.
**Commitment to Excellence and Equal Employment Opportunity**
Our laboratory is committed to fostering a work environment where all individuals are treated with fairness and respect while solving critical challenges in fundamental sciences, national security, and energy resiliency.

We are an Equal Employment Opportunity employer.
Pacific Northwest National Laboratory (PNNL) is an Equal Opportunity Employer.

PNNL considers all applicants for employment without regard to race, religion, color, sex, national origin, age, disability, genetic information (including family medical history), protected veteran status, and any other status or characteristic protected by federal, state, and/or local laws.
We are committed to providing reasonable accommodations for individuals with disabilities and disabled veterans in our job application procedures and in employment.

If you need assistance or an accommodation due to a disability, contact us at careers@pnnl.gov .
**Drug Free Workplace**
PNNL is committed to a drug-free workplace supported by Workplace Substance Abuse Program (WSAP) and complies with federal laws prohibiting the possession and use of illegal drugs.
**Security, Credentialing, and Eligibility Requirements**
As a national laboratory, PNNL is responsible for adhering to the Homeland Security Presidential Directive 12 (HSPD-12) and Department of Energy (DOE) Order 473.1A, which require new employees to obtain and maintain a HSPD-12 Personal Identify Verification (PIV) Credential.

To obtain this credential, new employees must successfully complete the applicable tier of federal background investigation post hire and receive a favorable federal adjudication.

The tier of federal background investigation will be determined by job duties and national security or public trust responsibilities associated with the job.

All tiers of investigation include a declaration of illegal drug activities, including use, supply, possession, or manufacture within the last 1 to 7 years (depending on the applicable tier of investigation).

Illegal drug activities include marijuana and cannabis derivatives, which are still considered illegal under federal law, regardless of state laws.
For foreign national candidates:
If you have not resided in the U.S. for three consecutive years, you are not eligible for the PIV credential and instead will need to obtain a favorable Local Site Specific Only (LSSO) Federal risk determination to maintain employment.

Once you meet the three-year residency requirement thereafter, you will be required to obtain a PIV credential to maintain employment.

The tier of federal background investigation required to obtain the PIV credential will be determined by job duties at the time you become eligible for the PIV credential.
**Mandatory Requirements**
Please be aware that the Department of Energy (DOE) prohibits DOE employees and contractors from having any affiliation with the foreign government of a country DOE has identified as a “country of risk” without explicit approval by DOE and Battelle.

If you are offered a position at PNNL and currently have any affiliation with the government of one of these countries, you will be required to disclose this information and recuse yourself of that affiliation or receive approval from DOE and Battelle prior to your first day of employment.
**Rockstar Rewards**
**Regular Hourly:**
Employees are offered an employee assistance program and business travel insurance.

Employees are eligible for the company funded pension plan and 401k savings plan, once eligibility requirements are met.
**Temporary Hourly:**
Employees are offered an employee assistance program and business travel insurance.
Click Here For Rockstar Rewards (https://careers.pnnl.gov/rockstar-rewards)
**Notice to Applicants**
PNNL lists the full pay range for the position in the job posting.

Starting pay is calculated from the minimum of the pay range and actual placement in the range is determined based on an individual’s relevant job-related skills, qualifications, and experience.

This approach is applicable to all positions, with the exception of positions governed by collective bargaining agreements and certain limited-term positions which have specific pay rules.
As part of our commitment to fair compensation practices, we do not ask for or consider current or past salaries in making compensation offers at hire.

Instead, our compensation offers are determined by the specific requirements of the position, prevailing market trends, applicable collective bargaining agreements, pay equity for the position type, and individual qualifications and skills relevant to the performance of the position.
**Minimum Salary**
USD $23.53/Hr.
**Maximum Salary**
USD $35.30/Hr.

Required Skill Profession

Other General