Post Doctoral Fellow (dw)

Description The Computer Science Department of Carnegie Mellon University has an exciting opportunity for a Post Doctoral Fellow. The candidate will work on research at the intersection of data science and machine learning.

They will:

Collaborate closely with a multidisciplinary team of researchers and faculty members to design, implement, and evaluate novel machine learning and data mining algorithms and techniques. Develop and maintain software tools, libraries, and datasets to support research activities. Publish research findings in top-tier conferences and journals, and present work at academic andindustry events. Mentor and support graduate students, and contribute to the teaching and supervision of students as required. Contribute to research grant applications, project reports, and related administrative tasks. Qualifications PhD in Computer Science or related field required. Strong publication track record. Strong written and oral communication skills. Demonstrated ability to manage multiple priorities; and communicate effectively in an interdisciplinary environment. Application Instructions Equal Employment Opportunity Statement Carnegie Mellon University is an equal opportunity employer. It does not discriminate in admission, employment, or administration of its programs or activities on the basis of race, color, national origin, sex, disability, age, sexual orientation, gender identity, pregnancy or related condition, family status, marital status, parental status, religion, ancestry, veteran status, or genetic information. Furthermore, Carnegie Mellon University does not discriminate and is required not to discriminate in violation of federal, state, or local laws or executive orders.