Postdoctoral Research Associate – MLD – School of Computer Science

Job title:

Postdoctoral Research Associate – MLD – School of Computer Science

Company

Carnegie Mellon University

Job description

Carnegie Mellon University is a private, global research university that stands among the world’s most renowned education institutions. With ground-breaking brain science, path-breaking performances, creative start-ups, big data, big ambitions, hands-on learning, and a whole lot of robots, CMU doesn’t imagine the future, we invent it. If you’re passionate about joining a community that challenges the curious to deliver work that matters, your journey starts here!The Machine Learning Department (MLD) is a leading hub for research and education in artificial intelligence and machine learning. It focuses on developing innovative algorithms and models to address complex problems in diverse fields such as robotics, healthcare, and finance. The department offers a range of undergraduate and graduate programs, fostering a collaborative environment that bridges theoretical research and practical applications. Faculty and students frequently collaborate with industry and other academic disciplines to push the boundaries of what is possible with machine learning.We are seeking a Postdoctoral Research Associate is to perform postdoctoral research in machine learning as a member of Virginia Smith’s group in the MLD at CMU.Core Responsibilities:Performing research, collaborating/advising with students in the group, and attending weekly group meetings.Research in AI, machine learning, computer science and electrical and computer engineering.Working closely with interdisciplinary researchers.Performs other duties as assigned.Inclusion and cultural sensitivity are valued proficiencies at CMU. Therefore, we are in search of a team member who can optimally interact with a varied population of diverse audiences. We are looking for someone who shares our values and who will support the mission of the university through their work.Qualifications:PhD in Machine Learning, Computer Science, or a related field by the time of employmentAcademic or professional experience in machine learningExcellent interpersonal, organization, problem-solving and reasoning skills.A combination of education and meaningful experience from which comparable knowledge is proven may be considered.Joining the CMU team opens the door to an array of exceptional benefits available to eligible employees.Those employees who are have the opportunity to experience the full spectrum of advantages from to an enticing offering a generous employer contribution. You can also unlock your potential with and take well-deserved breaks with ample and observed . Finally, rest easy knowing you are covered by life and accidental death and disability insurance.Other perks include a free Pittsburgh Regional Transit bus pass, our to help navigate childcare needs, , and so much more!For a comprehensive overview of the benefits that may be awaiting you, explore our .At Carnegie Mellon, we value the whole package when extending offers of employment. Beyond just credentials, we consider the role and responsibilities, your invaluable work experience, and the knowledge gained through education and training. We acknowledge and appreciate your unique skills and the diverse 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 Pre/Post-Doctoral Associates & FellowsPosition Type Postdoctoral Associate / Fellow (Fixed Term)Full Time/Part time Full timePay Basis SalaryMore Information:Please visit “ ” to learn more about becoming part of an institution inspiring innovations that change the world.Click to view a listing of employee benefitsCarnegie Mellon University is an Equal Opportunity Employer/Disability/Veteran.

Expected salary

Location

Pittsburgh, PA

Job date

Sun, 16 Feb 2025 05:56:53 GMT

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