Research Assistant - CSD (Li Lab) - School of Computer Science Job at Carnegie Mellon University, Pittsburgh, PA

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  • Carnegie Mellon University
  • Pittsburgh, PA

Job Description

Carnegie Mellon University is a private, global research university that challenges the curious and passionate to deliver work that matters. Our world-class institution has distinctive areas of excellence and a culture marked by ambition and a deep, practical engagement with challenges facing society. We continue to produce talented alumni and draw faculty and staff eager to be a part of the university's creative, dedicated and close-knit community. We place emphasis on practical problem solving, interdisciplinary learning, a visionary spirit, and collaboration. The Computer Science Department (CSD) is one of the seven academic departments in the Carnegie Mellon School of Computer Science (SCS). Our environment is demanding and fast-paced, but it's also innovative, flexible, and highly collaborative. Computer Science at Carnegie Mellon is also distinctive for our research style, educational programs, commitment to diversity, culture and organizational structure. We are seeking a Research Assistant. This position will work with research projects pertaining theoretical computer science, specifically graph algorithms and fine-grained complexity. + Analyze, record and assess data. + Write and test code according to project specifications related to graph algorithms and fine-grained complexity. + Writing detailed reports and records + Work on research projects related to theoretical computer science. + Other duties as assigned. Flexibility, excellence, and passion are vital qualities within the School of Computer Science. Collaboration and cultural sensitivity are valued competencies at CMU. Therefore, we are in search of a team member who is able to 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** + Bachelor's Degree in Computer Science, Computer Engineering or a related field + Experience in developing algorithms + Experience with fine grained complexity + Knowledge in theoretical computer science is needed + A combination of education and relevant experience from which comparable knowledge is demonstrated may be considered. **Additional requirements** + Successful background investigation **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, PA **Job Function** Researchers **Position Type** Staff - Fixed Term (Fixed Term) **Full Time/Part time** Full time **Pay Basis** Hourly **More 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** . + Statement of Assurance ( Interested in a career with Carnegie Mellon University but not finding anything that currently aligns with your interests, background, or experience? Learn how to sign up for Job Alerts ( through your candidate profile. **If your heart is in your work, come work with us.** Carnegie Mellon University isn't just one of the world's most renowned educational institutions - it's also a hotspot for some of the most talented doers, dreamers, and difference-makers on the planet. When you join our staff, you'll become an important part of our mission to create a healthier, safer, and more just life for all. No matter what your role or location, you'll connect and collaborate with dedicated, passionate colleagues - and you'll have the satisfaction of delivering work that truly matters. We cultivate a vibrant, welcoming environment where everyone is valued and encouraged to contribute and achieve. In addition to competitive benefits and a robust support network, you'll have access to many tools and resources to sharpen your abilities and professional skills, as well as opportunities to engage and share perspectives with a dynamic and inspiring community of uniquely talented staff, faculty, students, and alumni. The future is awaiting your expertise and intellect. Come join the architects of what's next. Apply now. Learn more about Student Employment ( . Please see Faculty Careers. ( For technical assistance, email HR Services (hr-help@andrew.cmu.edu) or call 412-268-4600. If you are an individual with a disability and you require assistance with the job application process, please email Equal Opportunity Services (employeeaccess@andrew.cmu.edu) or call 412-268-3930. Prospective Employee Disclosures (

Job Tags

Hourly pay, Full time, Part time, Fixed term contract, Work experience placement, Flexible hours,

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