Short-term support partnerships



Direct Support for Researchers

MATCHPlus provides direct support to researchers to move their science forward through concrete and contained computational improvement such as expanding existing code functionality, transitioning from lab computers to HPC, or introducing new technologies into their workflows. MATCHPlus launches short-term engagements that pair a student facilitator with an experienced mentor to address an immediate research need. Mentors are ACCESS Computational Science and Support Network (CSSN) experts with subject matter expertise and professional facilitation skills relevant to the engagement.

3-6 Month Engagements
Mentor/Student Team
No Cost
Leverage CSSN Expertise

The MATCHPlus Process

Researchers define the research need, required skill sets, deliverables, and a set of milestones via the engagement request form. A volunteer mentor and a student-facilitator are recruited. Mentors are typically professional Research Computing Facilitators (RCFs) from the CSSN or senior members of the researcher's existing group. Student-facilitators are recruited unless researchers request a particular student, and they commit 10-20 hours per week and receive a stipend or credit. The mentor works with the student-facilitator in regularly scheduled meetings. The student-facilitator, optionally accompanied by mentor and PI, attends monthly meetings where the student-facilitator presents updates and learns about work being supported by others in the program.

Researcher (PI) identifies need and submits an engagement request.
MATCHPlus matches a mentor and student-facilitator with the project.
Student-facilitator carries out the project with mentor and PI through regular meetings.
Research moves forward.

MATCHPlus is modeled after the workflow developed in 2017 by the NSF-sponsored Northeast Cyberteam and subsequently adopted and enhanced by the NSF-sponsored CAREERS Cyberteam to help researchers address their computationally intensive research challenges and needs.

Interested in Joining the Pilot?

MATCHPlus will be selecting ten projects between September, 2022 and March, 2023. Requests will be evaluated in the order received until October 31, 2022.

Apply for MATCHPlus

Receive expert CSSN research support

Collaborate with a mentor/student pairing

Work with subject matter experts

Benefit from support dedicated to advancing your scientific research

Request a Pilot Engagement

Fill out our online form

Join our Mentors

Leverage your expertise

Mentor a student research facilitator

Help advance scientific breakthroughs

Help drive evolving and emerging research

Become a Mentor

Fill out our online form

Be a Student-Facilitator

Gain cutting-edge research experience

Work with a CSSN mentor and expert

Help drive scientific research

Showcase your expertise, learn new skills and gain experience

Join MATCHPlus

Fill out our online form

Sample Engagements from the Northeast and CAREERS Cyberteams

Transient cooling of composite spherical moving droplet at high temperature with phase change and non-homogeneous boundary conditions
Western New England University

To objective of this project is to develop a model that can be used to facilitate the development of a process for industrial-scale production of High Temperature Phase Change Materials (PCM). The numerical model will first be validated with simple boundary conditions with which analytical solution exists. Then it will be used to predict the cooling curve of the PCM droplets with different process attributes. 

  • bash
  • batch-jobs
  • job-sizing
  • parameter-sweeps
  • performance-tuning
Using station data and downscaled reanalysis to assess the occurrence of extreme weather
University of Maine, Augusta

Meteorological observations across North America and Europe suggest a significant increase in the frequency and intensity of extreme weather (heat waves, cold waves, precipitation events) coincident with satellite-measured major decline of Arctic sea ice over the past decade. This project will assess the occurrence and impact of extreme weather events across Northern New England using both station data and climate reanalysis models. Weather and climate are critically important across Northeast New England, owing to the heavy reliance of natural resources for its economy. In particular this project involves mining multi-terabyte databases and model outputs to visualize data in a variety of formats.

  • data-management
Parallel computing for interactions between fluids and flexible structures with application to suspended longline aquaculture farms
University of Maine, Augusta

The structural dynamics of the aquaculture farms in unsteady flow are essential to assess the performance and resilience of aquaculture farms in environmental change. Moreover, the feedback of the aquaculture farms to the flow is significant for the environment, ecology, and coastal management, such as hydrodynamics impacts, habitat resilience, nutrient transportation, wave attenuation, coastal erosion control, etc. The computational fluid dynamics (CFD) method is used to analyze the interaction between aquaculture farms and the flow. The longline aquaculture farms such as kelp farms and mussel farms are consisting of multiple flexible structures such as mussel droppers and kelp blades. Considering hundreds or thousands of large deformed structures in the fluid-structure interaction (FSI) computing is time-consuming. Therefore, computer science research and parallel computing implementation are essential to make progress on this project. The computer science aspects we initially envision are converting the FSI code to c++ from MATLAB, as well as parallelizing the code. If you have any ideas beyond that, we would love to hear them.

  • matlab
  • mpi
  • programming