Postdoctoral Research Associate - MLD - School of Computer Science (cmu)

Job Description

The Machine Learning Department (MLD) at Carnegie Mellon University 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.

The Machine Learning Department (MLD) is seeking a Postdoctoral Research Associate to join their team in the Mitchell lab. In this role you will be responsible for carrying out advanced independent and/or directed research to achieve the objectives of the research project.

Core responsibilities include:

• Collecting and analyzing data, including periodical/literature search and utilizing specialized skills in related field to analyze the collected data.
• JOB IS FROM: postdocjobs.siteVIEWParticipating/assisting in manuscript writing for publication in scientific journals and/or presentations.
• May also assist in grant writing.
• Lab maintenance, including equipment maintenance and ordering of supplies as needed.
• Other 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.

You should demonstrate:

• Strong analytical skills
• Strong organization and planning skills
• Ability to meet deadlines, work under pressure and with frequent interruptions
• Ability to prioritize work and handle multiple tasks simultaneously
• Strong problem solving and reasoning skills
• Effective written and oral communication
• An ability to work well with others and/or as part of a team
• An ability to prioritize work and handle multiple tasks simultaneously
• Accountability for the successful completion of individual goals and priorities
• An ability to understand and follow directions.
• Visual acuity to perform activities such as extended use of a computer monitor, extensive reading, transcribing, analyzing data and figures, visual inspection involving small defects, small parts and/or operation of machines, using measurement devices, and/or assembly of parts at distances close to the eye.

Qualifications:

• Education: Doctorate required
• Experience: In depth knowledge and/ or experience in a specialized field, process, or discipline and may involve organizing and implementing complex research plans, the development of methods of research, testing and data collection, analysis and evaluation, and writing reports which contain descriptive, analytical and evaluative content.

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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