Job description
Position Details
Advertising/Posting Title
Research Computing Facilitator, Data Assimilation
Diversity Statement
The University is especially interested in candidates who can contribute to the diversity and excellence of the institution. Applicants are encouraged to include in their cover letter information about how they will further this goal.
Posting Summary
The Research Computing Facilitator will manage and manipulate large, heterogeneous datasets for assimilation into models (both physics-based and machine learning / artificial intelligence (ML/AI)) that are being developed to forecast harmful algal blooms (HABs) in Lake Champlain. The Facilitator will also be expected to actively participate in a team science environment, contributing data science, data management, and software development expertise to a large team of researchers from diverse academic disciplines.
Minimum Qualifications (or equivalent combination of education and experience)
B.S. in a computational field and one to three years’ related experience or equivalent experience in computational data management and software development
Familiarity with ML/AI models such as deep-learning neural networks
Ability and desire to quickly adapt to changing priorities and learn new computational tools and methods
Desirable Qualifications
Experience in contributing to an academic research project such as an undergraduate research experience, M.S., or Ph.D.
Success working in a team-oriented environment
Experience in computational workflows
Experience in the Python programming language
Experience in Python ML/AI and data science modules such as pandas, numpy, keras, etc.
Experience in working with the Linux operating system, GPUs, and advanced computing resources such as high-performance computing and high-throughput computing
Experience in the application of ML/AI models, especially if that experience includes active learning and near real-time model adaptation
Experience in data assimilation workflows for ML/AI models
Other Information
Special Conditions
Bargaining unit position, External candidates must complete a 4-month probationary period, Contingent on continued funding, A probationary period may be required for current UVM employees, This position is eligible for a hybrid schedule with an option to split time between campus and elsewhere, in accordance with the university telecommuting policy, This position is eligible for full-time telework in accordance with the university telecommuting policy, Background Check required for this position
FLSA
Exempt
Payband Min (Represents full-time (12 months, 1.0 FTE) equivalent salary. Must be prorated for jobs less than 12 months or 1.0FTE (Salary/12 x # of months x FTE))
43500.00
Payband Max (Represents full-time (12 months, 1.0 FTE) equivalent salary. Must be prorated for jobs less than 12 months or 1.0FTE (Salary/12 x # of months x FTE))
82650.00
Staff Hiring Band
Hiring salary budgeted at low end to mid pay band
Union Position
Yes, UVMSU ($20 minimum hourly rate)
Posting Details
Position will be posted for a minimum of one week, after which it is subject to removal without notice.
Job Open Date
05/16/2023
Job Close Date (Jobs close at 11:59 PM EST.)
Open Until Filled
Yes
Position Information
Position Title
Information Tech Professional
Posting Number
S4349PO
Department
EPSCoR/30010
Position Number
00026558
Employee FTE
1.0
Employee Term
12
Supplemental Questions
Required fields are indicated with an asterisk (*).
Documents Needed to Apply
Required Documents
- Resume
- Cover Letter/Letter of Application
- Other Document (1)
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