Start by filling out our case study form. Our team will review your submission and reach out to start discussing RSE involvement on your project. 

Or, if you would like more information before filling in the form, email us at darse-scipe@udel.edu.

DARSE focuses on research software engineering problems, specifically focused on building AI and HPC software. This could involve building new models, scaling existing models, performance optimization, etc. Essentially, all computational, data, or AI projects that involve research software development or porting such software to high-performance computing platforms. The range spans from classical computational domains, such as astrophysics, to domains not usually associated with computation, such as new ways of using AI in fashion studies. Our goal is to provide computational and technical expertise to innovate research that would have not been possible before.

• Routine IT support
• Long-term product maintenance
• Domain-specific research
• Data entry

Please get in touch with the DARSE team with the following information:

Absolutely. We encourage collaborative publications. When your project reaches the publication phase, the RSE can draft or review the methods, software, and reproducibility sections of the publication.

Availability for students to join the research projects supported by DARSE is limited at this time, but there will be future opportunities to join as a student RSE as the program grows. If you wish to be considered, start by filling out our student participation form. We also encourage students to become a part of the RSE Coffee Hour, and join our meetups so you can meet the DARSE team and other students working on projects. Sign up for the Coffee Hour community here.

Yes. Each project must designate at least one team member to collaborate with the RSE. That person (a student, post-doc, or faculty member) serves two purposes.

1. It helps us get domain knowledge quickly. This is important to answer specific questions so the RSE can build solutions effectively without needing to perform extensive literature review on the subject.
2. It helps the team learn new computational techniques and build expertise in programming. This is so the group member can maintain the software after the DARSE commitment ends.

One to 12 months is typical. It could be longer for projects that  have their own RSE budgets. 

We encourage frequent communications such as weekly or every other week check in. In lieu, the RSE can also join existing research group meetings. Meeting frequency can be adjusted as the project evolves. If possible, we encourage providing the RSE with a seat in your team office. This helps foster close collaboration and effective communication.

Unless otherwise specified, full ownership and long-term maintenance responsibility remain with the domain research group. DARSE can help you choose an appropriate license (open-source or internal) before hand-off.

The domain project is. While the RSE is collaborating with your team, we will help the team acquire the necessary skills to keep maintaining the code after the collaborative project. 

This research was supported in part by NSF Award # 2417814: SCIPE: Building a Computational and Data-intensive Research Workforce & Network in the Mid-Atlantic Region.