Postdoctoral Research Associate - School of Computer Science - MLD

The Machine Learning Department within the School of Computer Science is seeking a Postdoctoral Research Associate to be part of the NSF AI Institute for Societal Decision Making (AI-SDM). We seek researchers with a PhD in machine learning or a related area who are enthusiastic about collaborating with colleagues in the social and behavioral sciences and public health. The ideal candidate will have a demonstrated interest in connecting machine learning with societal issues.

AI-SDM is a highly interdisciplinary, collaborative environment, and the focus of this position is to serve as a bridge across the institute’s projects. To that end, the postdoctoral fellow will have the opportunity to both lead their own projects as well as collaborate with larger teams and mentor students. The faculty hosts and primary mentors for the fellow will be Aarti Singh and Bryan Wilder. Specific areas of technical research include online learning, sequential decision making, experimental design, and causal inference. The fellow will collaborate with both researchers in the social and behavioral sciences and partners in public health domains to improve interventions in impactful public health settings such as maternal and child health. This will involve both the development of novel AI methodologies which adapt to a patient’s social and emotional context as well as their implementation, deployment, and evaluation in real-world settings.

Your core responsibilities will include:

• Conduct research experiments within the predetermined research scope and methodology of department and university.
• Collect and analyze data, including periodical/literature search and utilizing specialized skills in related field to analyze the collected data.
• Participate/assist 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 may be required depending on area and specialty.
• Other duties as assigned.

Inclusion and cultural sensitivity are valued competencies at CMU. Therefore, we are in search of a team member who can effectively 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:

• Doctorate degree required.  
• Strong analytical, problem-solving, and reasoning skills.
• Strong communication and organization skills.
• A combination of education and relevant experience from which comparable knowledge is demonstrated may be considered.

Joining our team in this position opens the door to an array of exceptional benefits, available to all full-time Carnegie Mellon University employees. Experience the full spectrum of advantages, from comprehensive medical, prescription, dental, and vision insurance to enticing retirement savings programs. Unlock your potential with tuition benefits, and take well-deserved breaks with generous paid time off and holidays. Rest easy knowing you're covered by life and accidental death and disability insurance. For a comprehensive overview of the benefits awaiting you, explore: https://www.cmu.edu/jobs/benefits-at-a-glance .

At Carnegie Mellon, we value the whole package when extending offers of employment. Beyond just credentials, we consider the role's responsibilities, your invaluable work experience, and the knowledge gained through education and training. We acknowledge and appreciate your unique key skills and the diverse perspectives you bring. Our commitment to fostering an inclusive work environment means we also account for geographic differentials. 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 this exciting opportunity?! Apply today!

Location

Pittsburgh, PA

Job Function

Pre/Post-Doctoral Associates & Fellows

Position Type

Postdoctoral Associate / Fellow (Fixed Term)

Full Time/Part time

Full time

Pay Basis

Salary

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. 

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