Berkeley Research Computing is expanding our successful Domain Consultant program by hiring 5 additional UC Berkeley graduate students. The Domain Consultant position is a 20% to 25% (8 to 10 hours/week) appointment, paid hourly ($20-30/hr based on experience, no fee remission.)
Domain Consultants serve as a first point of contact for faculty, postdoctoral researchers, graduate students, and research staff to understand their research and facilitate access to computing resources that will best support their research. Working as a Domain Consultant gives graduate students an opportunity to learn about and support the myriad research projects happening across all of campus – not just within their own departments.
We’re looking for candidates who are comfortable with at least one of the computing resources provided or mediated by Berkeley Research Computing, including the Savio HPC cluster, AEoD virtual research desktop service, commercial cloud providers, and national compute infrastructure (XSEDE). Berkeley Research Computing will provide training across the range of compute resources available for researchers.In addition to doing consultations, Domain Consultants may work on projects including developing new documentation, and creating and holding trainings for researchers. Domain Consultants work in a dynamic mix of professional Research IT staff and undergraduate student assistants, and have opportunities to collaborate with and mentor undergraduate staff.
To apply, please email a one-page cover letter and CV to firstname.lastname@example.org, or apply for the Research Computing Domain Consultant position on Handshake:
- Help campus researchers leverage computing and data resources by meeting with faculty, students, and staff to understand aspects of their research that rely on, or could be aided by, current computational methodologies, and helping them gain access to compute resources.
- Education and outreach: developing training and outreach materials in response to researcher needs, and assisting with the program’s overall training and outreach program.
- Documenting solutions to research challenges: contributing to existing documentation, expanding documentation in response to researcher needs, and developing use cases to inform new service development.
Knowledge and Skills
This role provides an opportunity to develop a diverse skill set, as well as work with and receive mentoring from experts in a range of research areas and computational technologies.
- Have experience as a researcher in a compute- and/or data-intensive research area at the graduate level or above
- Have experience providing technical support to others in at least one research area (including your own)
- Demonstrate strong interpersonal skills in working with both technical and non-technical personnel with varying degrees of experience at different levels in the organization
- Demonstrate strong abilities in critical analysis and creative problem solving
- Be able to work independently and as part of a dynamic interdisciplinary team
Additional Desired Qualifications:
- Experience in a research-focused consulting role
- Experience with public cloud computing environments including Jetstream, AWS, Azure, Google Compute Platform, Digital Ocean, and/or others
- Familiarity with academic and high-performance computing centers/services (e.g. Savio at UC Berkeley), including national initiatives such as the Open Science Grid or XSEDE
- Experience and demonstrated interest in education, outreach, community-building or communication activities
- Contributions to a data science/Software Carpentry bootcamp, D-Lab workshop, XSEDE training, or other computation-focused and/or data-focused training efforts
About the Organization
The BRC program is part of the Research IT group, which in coordination with campus partner organizations, provides information technology and consulting services focused on the needs of the campus research community.
Everyone in the BRC program works closely with staff in UC Berkeley’s Research IT group, LBL High Performance Computing Services, and a network of campus partners such as the Berkeley Institute for Data Science (BIDS), D-Lab in the Data Intensive Social Sciences, the Statistical Computing Facility (SCF), and the University Library, among others.
Berkeley Research Computing is sponsored by the CIO, the Vice Chancellor for Research, and the Chancellor.