CME Humanities Research Associate V

Job Posting Title:

CME Humanities Research Associate V

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Hiring Department:

Media Engagement, Center for

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Position Open To:

All Applicants

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Weekly Scheduled Hours:

40

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FLSA Status:

Exempt

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Earliest Start Date:

Immediately

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Position Duration:

Expected to Continue Until Nov 30, 2025

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Location:

UT MAIN CAMPUS

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Job Details:

Purpose

This role is eligible for hybrid or fully remote work. The Research Engineer will support the Center for Media Engagement's research on connective democracy.  

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.

Required Qualifications

• 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

Relevant education and experience may be substituted as appropriate.

Preferred Qualifications

• 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.

Salary Range

$80,000 + depending on qualifications

Working Conditions

• Typical office environment

Required Materials

• Resume/CV

• 3 work references with their contact information; at least one reference should be from a supervisor

• Letter of interest

Important for applicants who are NOT current university employees or contingent workers: You will be prompted to submit your resume the first time you apply, then you will be provided an option to upload a new Resume for subsequent applications. Any additional Required Materials (letter of interest, references, etc.) will be uploaded in the Application Questions section; you will be able to multi-select additional files. Before submitting your online job application, ensure that ALL Required Materials have been uploaded.  Once your job application has been submitted, you cannot make changes.

Important for Current university employees and contingent workers: As a current university employee or contingent worker, you MUST apply within Workday by searching for Find UT Jobs. If you are a current University employee, log-in to Workday, navigate to your Worker Profile, click the Career link in the left hand navigation menu and then update the sections in your Professional Profile before you apply. This information will be pulled in to your application. The application is one page and you will be prompted to upload your resume. In addition, you must respond to the application questions presented to upload a