Internship in Data Science and Machine Learning Research

Overview

Join a cutting-edge research team at PNNL, a pioneer in advanced scientific computing and data analysis. Our organization is renowned for its impactful contributions across diverse scientific domains, including National Security, Earth and Biological Sciences, and Computational Sciences.

The Advanced Computing, Mathematics, and Data Division (ACMDD) is looking for a motivated PhD intern eager to delve into foundational graph models, graph representation learning, and their applications in electronic design automation and cybersecurity. This role provides a thrilling chance to engage in innovative projects that bridge theoretical insights with real-world applications.

Responsibilities

As a PhD intern, you will have the opportunity to:

Develop and implement graph neural networks and large language models.

Contribute to significant scientific machine learning initiatives.

Manage scientific data while adhering to FAIR principles.

Collaborate with a multidisciplinary team and share your findings through peer-reviewed publications.

Utilize your strong communication skills to effectively present complex concepts.

Qualifications

Minimum Qualifications:

Currently pursuing a PhD at an accredited institution.

A minimum GPA of 3.0.

Preferred Qualifications:

Undergraduate degree in Computer Science, Applied Mathematics, Data Science, or a related field.

Experience in energy sciences, such as computational physics or chemistry.

Strong foundational knowledge in applied mathematics, especially in machine learning and graph theory.

Proficiency in Python and data science libraries (Numpy, Pandas, SciPy, Matplotlib).

Familiar with version control systems like Git.

Experience with machine learning frameworks such as PyTorch or TensorFlow.

Knowledge of graph databases like Neo4j and contemporary deep learning techniques.

A publication record in respected conferences like NeurIPS, ICML, ICLR, or AAAI.

About PNNL

PNNL is committed to fostering innovation, advancing research excellence, and ensuring a diverse workforce. We offer a collaborative work environment, competitive benefits, and a location rich in outdoor recreational opportunities.

Equal Employment Opportunity

We are dedicated to building a workplace rooted in respect and fairness. PNNL is an Equal Opportunity Employer that strives to create a diverse and inclusive environment.

We are prepared to provide necessary accommodations throughout the application process for individuals with disabilities.

Compensation

The hourly pay for this position ranges from USD $24.04 to $36.06, based on skills and experience.