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The Software and Societal Systems (S3D) department within the School of Computer Science explores the vital intersection of the confluence of software, systems, and society to understand how computational technologies might better serve humanity. We are studying the bigger picture of computing in context in order to develop tools, policies, methods, and much more - all in the name of making the world a safer, more equitable, better place to call home.

The Software and Society Systems Department (S3D) within the School of Computer Science is looking to add a Research Associate to the team.

This role involves contributing to research that utilizes NLP/ML techniques for the automated detection of potential compliance issues with mobile app privacy. This is achieved by identifying discrepancies between data practices mentioned in privacy policies and those in mobile app privacy labels. The ideal candidate should be well-versed in NLP/ML technologies. Additionally, there will be an opportunity for the selected candidate to participate in the creation of personalized privacy assistants, leveraging generative AI technology.

Your core responsibilities will include:

• Follows research plans in order to collect, record, and manipulate research data. Maintains accurate and detailed research records and files.
• Performs library research and field explorations.
• Performs basic data analysis in order to produce reports. Documents results and processes.
• May test software prototypes. May interact with research subjects in order to perform job functions.

Adaptability, excellence, and passion are vital qualities within Carnegie Mellon University. We are in search of a team member who can effectively interact with a varied population of internal and external partners at a high level of integrity. We are looking for someone who shares our values and who will support the mission of the university through their work.

Qualifications:

• Education: Bachelor's Degree required
• Experience: 1-3 years of experience with basic NLP/ML, scripting, and statistics skills, and strong quantitative and communication skills. Prior research experience in this or a closely related area a plus.

A combination of education and relevant experience from which comparable knowledge is demonstrated may be considered.

Joining the CMU team opens the door to an array of exceptional benefits.

Benefits eligible employees enjoy a wide array of benefits including comprehensive medical, prescription, dental, and vision insurance as well as a generous retirement savings program with employer contributions. Unlock your potential with tuition benefits, take well-deserved breaks with ample paid time off and observed holidays, and rest easy with life and accidental death and disability insurance.

Additional perks include a free Pittsburgh Regional Transit bus pass, access to our Family Concierge Team to help navigate childcare needs, fitness center access, and much more!

For a comprehensive overview of the benefits available, explore our Benefits page.

At Carnegie Mellon, we value the whole package when extending offers of employment. Beyond credentials, we evaluate the role and responsibilities, your valuable work experience, and the knowledge gained through education and training. We appreciate your unique skills and the perspective you bring. Your journey with us is about more than just a job; it's about finding the perfect fit for your professional growth and personal aspirations.

Are you interested in an exciting opportunity with an exceptional organization?! Apply today!

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