The University of Texas at Austin · 10 hours ago
CME Humanities Research Associate V
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Responsibilities
Maintain a data lake system with archives of static and streaming internet and news data that can be queried by researchers.
Seek out, scrape and support new datasets that are of interest to CME faculty. Manage the security of the archive, including access, encryption, and security training.
Regularly review security measures, permissions, and encryption protocol.
Manage data back-ups. Store and update documentation of datasets, including provenance files/data sheets, access protocols, and security measures. This may involve some software development.
Develop, implement, and evaluate supervised and unsupervised classifiers, including training and testing classifiers (e.g., BERT, GPT, CNN) for multiple research projects.
Recommend and execute strategies to improve model performance and efficiency.
Document the process and contribute to research and open-source initiatives, including writing model cards.
Work with and support researchers with various backgrounds in computational methods to inform their research designs.
Follow emerging trends in computational research (e.g. RAG, RLHF) and use these learnings to inform researchers of how they could apply to their work.
Other duties as assigned.
Qualification
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Required
Masters degree in computer science or information with six years of relevant experience.
Technical Skillset: Python (pandas, numpy), R, SQL/Hadoop, Tensorflow/Keras/Huggingface, Github, unix/cmd, github, AWS/Azure/GCP
Significant knowledge in machine learning and working with large data
Ability to develop and optimize data science software
Management of data infrastructure
Experience working with multiple project and collaborating with teams
Clear and timely communication
Preferred
Experience using Rest APIs and/or data scraping
Knowledge of or experience with signal processing, computer vision, or network analysis
Experience with open-source software/OSINT
An ideal candidate should have experience with 'big' data and cloud computing/infrastructure.
Benefits
Retirement Plan Eligibility: The retirement plan for this position is Teacher Retirement System of Texas (TRS), subject to the position being at least 20 hours per week and at least 135 days in length.
Company
The University of Texas at Austin
The University of Texas at Austin is one of the largest public universities in the United States.
Funding
Current Stage
Late StageTotal Funding
unknownKey Investors
Republic Capital Group
2022-09-14Series Unknown· undefined
Recent News
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2023-06-05
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