Pittsburgh
part-time
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The CLAIR (Clean Air Innovation for Resilience) research project at Carnegie Mellon University is currently advancing the development of an early-stage digital research prototype focused on indoor air quality, materials science, and data-driven decision support. As part of this effort, we are seeking a part-time Research Assistant to support data analysis, software testing, and research documentation activities.
This position will support an established research plan and work closely with the project lead and technical team. The role is designed to provide hands-on experience in applied research and digital prototyping within a university research environment.
In this role, candidates should be capable of working with limited supervision while demonstrating strong organizational skills, attention to detail, and the ability to manage multiple tasks. Candidates should be comfortable following research procedures, documenting work carefully, and collaborating with others in a professional research setting.
This is an excellent opportunity to gain applied research experience in data-driven digital tools while contributing to an active interdisciplinary research project.
Performing basic data analysis to support research and prototyping activities
Documenting research processes, methods, and results
Assisting with testing and evaluation of software or digital prototype components
Collecting, organizing, and maintaining accurate research data and records
Supporting background research, including literature reviews and exploratory research
Assisting with preparation of summaries or internal reports as needed
Collaborating with project team members to support defined research objectives
Performing related research duties as assigned
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.
Minimum 1 year of relevant experience in research, laboratory work, data analysis, software testing, or a related area required
Undergraduate or Graduate degree in Materials Science Engineering or similar field preferred
Background or coursework in materials science, materials engineering, chemical engineering, mechanical engineering, or a related field
Familiarity with basic materials characterization techniques (e.g., microscopy, spectroscopy, surface analysis, or mechanical testing) through coursework or research experience
Exposure to laboratory or prototyping environments involving materials testing, fabrication, or evaluation
Interest in materials properties, filtration media, or applied computational tools
A combination of education and relevant experience from which comparable knowledge is demonstrated may be considered.
Strong attention to detail and organizational skills
Proficiency with basic computer applications (e.g., spreadsheets, document editing tools)
Familiarity with Python, AI/ML tools, data analysis tools, or research software is a plus, but not required
Ability to work independently as well as collaboratively as part of a team
Willingness to follow established research plans, safety protocols, and instructions
Hours and Schedule: Normal business hours; evening and weekend work may occasionally be required
Part-time, up to 20 hours/week
Location: Pittsburgh, PA (Hybrid)
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!
Location
Pittsburgh, PAJob Function
ResearchersPosition Type
Staff – Fixed Term (Fixed Term)Full Time/Part time
Part timePay Basis
HourlyMore Information:
Please visit “Why Carnegie Mellon” to learn more about becoming part of an institution inspiring innovations that change the world.
Click here to view a listing of employee benefits
Carnegie Mellon University is an Equal Opportunity Employer/Disability/Veteran.
The Language Technologies Institute at the Carnegie Mellon University School of Computer Science educates the leaders of tomorrow and performs groundbreaking research in the areas of Natural Language Processing and Computational Linguistics; Information Extraction, Summarization & Question Answering; Information Retrieval, Text Mining & Analytics; Knowledge Representation, Reasoning & Acquisition; Language Technologies for Education; Machine Learning; Machine Translation; Multimodal Computing and Interaction; Speech Processing; and Spoken Interfaces & Dialogue Processing.
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