Sustainable Research Pathways

Sustainable Research Pathways (SRP) is a comprehensive workforce development program designed to connect students and faculty working with underrepresented groups^* with U.S. Department of Energy (DOE) National Laboratory scientists to encourage lasting collaborations, jump start careers, and build inclusive workplace environments.

* Black or African American, Hispanic/Latinx, American Indian, Alaska Native, Native Hawaiian, Pacific Islanders, women, persons with disabilities, first generation scholars, and students from community and smaller colleges and universities

SRP began in 2015 at Berkeley Lab and has fostered over 300 connections between lab scientists and faculty and students from a variety of U.S. colleges and universities. In 2021, SRP expanded through the DOE Exascale Computing Project (ECP), to a multi-lab High-Performance Computing program. Based on last summer’s success, SRP is now a multi-lab program spanning ECP and other computational and data science projects.

Faculty Track

Faculty from a variety of institutions, including minority-serving institutions, liberal arts, and community colleges, working with students from underrepresented groups* are encouraged to apply to participate in faculty/student teams.

Student Track

Community College, Undergraduate, and Graduate students at an accredited US academic institution have two ways to apply:

as part of a faculty application
apply on their own

SRP Summer Experience Benefits

SRP Summer Experience Financial Benefits*

Pre-Workshop Q&A webinar
Matching and Exploratory Workshop to meet with DOE lab staff to discuss possible collaborations
Potential to participate in paid summer experience
Onboarding with professional community
Funds to present summer results at scientific conference
Catalyzing Ubiquitous Learning Through InnoVATive Engaging Conversations (CULTIVATE Conversations)

Total including stipend + housing and travel allowance

Faculty $25,800
UG Student $12,000
Master Student $14,500
PhD Student $16,500

* Note there may be multiple funding sources for summer experiences, above are the SRP rates

SRP is designed to jump start your career through community-building activities including:

Take a step to build and expand your career pathway…apply now!

Application Deadline: Friday, October 14, 2022

The exponentional Impact of SRP

Growing Confidence, Creating Opportunities

The Ideal Intersection

Discovering Your Dream Path is Possible Through SRP

Imagining A Better Future

New Insight and New Possibilities Through SRP

The Bravery to Find and Follow Your Passion

Paying it Forward Through SRP-HPC

Breaking Barriers and Accelerating Particles

Opening Doors and Transforming Science Through SRP

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Research/Technical Areas

SRP is a partnership between Sustainable Horizons Institute, the DOE Exascale Computing Project (ECP), an aggressive multi-lab research, development, and deployment project focused on delivery of mission-critical applications, an integrated software stack, and exascale hardware technology advances and several Computational and Data Sciences Divisions at DOE National Laboratories.

ECP High-Performance Computing Areas

Application development

Developing simulation capabilities for chemistry, materials, energy, Earth, and space science, data analytics, optimization, AI, national security, and more. Examples include revealing the underlying properties of matter, designing new materials and energy technologies, discovering the origin of the universe, and creating new machine learning techniques.

Software technology

Building software technologies that power HPC discoveries, including open-source programming models and runtimes, scalable math libraries, data and visualization packages, development tools, and more. Examples include exploring new algorithmic approaches, computing and communication protocols, and data management.

Hardware and integration

Deploying an exascale software stack, including software integration and testing across leadership computing environments. Improving software productivity and sustainability to help advance scientific productivity.

Computational and Data Sciences

Computational and data sciences span applied mathematics, computer science, data science, machine learning, AI, and application areas ranging from astrophysics to biology, chemistry, mechanical engineering, nanotechnology, quantum computing, and many more.

Participating labs include:

Argonne National Laboratory

Berkeley Lab

Brookhaven National Laboratory